Home Linguistics & Semiotics Who’s going the distance here? Fictive motion in (German) sign language
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Who’s going the distance here? Fictive motion in (German) sign language

  • Cornelia Loos ORCID logo and Donna Jo Napoli EMAIL logo
Published/Copyright: December 29, 2025
Cognitive Linguistics
From the journal Cognitive Linguistics

Abstract

Frame-relative fictive motion describes a linguistic phenomenon whereby the motion of an entity is communicated via the – fictive – motion of stationary background objects. For instance, a woman’s experience of riding on a fast train might be described as The trees rushed past her. Such fictive-motion constructions allow the addressee to see the point of view of a character in a narrative, but in sign languages, they perform additional tasks. Our quantitative study of fictive motion in narratives in German Sign Language (DGS) demonstrates how it allows signers to depict distance, speed, and point of view while circumventing constraints imposed by anatomy/physiology and phonology. Data from nine additional sign languages confirm this range of uses. In contrast to spoken languages, sign languages allow the combination of factive- and fictive-motion depiction in one sentence, posing problems for a purely morphological analysis of the movement parameter in classifier constructions. This work shows that both cognitive-perceptual and anatomical matters shape sign language grammars.

1 Introduction

This work is part of a larger study of techniques employed to convey movement of an object through space in sign languages. We distinguish between factive and fictive motion (Talmy’s 1996 veridical and fictive motion). Factive motion involves representing a moving object by articulating a body part that represents that object (described in Loos and Napoli 2023). Fictive motion or, more specifically, frame-relative fictive motion encompasses techniques that convey the movement of an object via a secondary object that is factively immobile yet represented as moving. For example, signers can depict someone driving fast along a road by showing how the trees fly by them, as illustrated in Figure 1 for Dutch SL (NGT) and American SL (ASL). Trees don’t factively move, but their fictive motion indicates that the (person in the) car is traveling fast and/or far.

Figure 1: 
Trees flying by a person sitting in a car. a) NGT, b) ASL.
Figure 1:

Trees flying by a person sitting in a car. a) NGT, b) ASL.

Fictive motion has been described for spoken languages (starting with Talmy 1996), but little research exists regarding sign languages. In this paper, we focus on one type of fictive motion, namely frame-relative fictive motion, and examine its use in motion descriptions in DGS. As is common in the study of motion events, we look at re-tellings of Canary Row cartoons (Sylvester and Tweety), where signers use a variety of linguistic and gestural devices to talk about an entity’s motion through space. To show that frame-relative fictive motion is not limited to DGS but occurs in narrative texts across (at least) Western sign languages, our dataset will be complemented by examples from ASL, British SL (BSL), Irish SL (ISL), Italian SL (LIS), French SL (LSF), and NGT. Overall, we identify four types of frame-relative fictive motion according to which linguistic devices are involved in its construction. We discuss reasons for why they exist alongside and are sometimes favored over factive motion constructions, and we look at the construals that allow us to arrive at a proper understanding of which entity has moved. We ask whether perceptual/physical laws influence the interpretation of fictive motion constructions and discuss anatomical/phonological as well as cognitive motivations for fictive motion.

This paper is structured as follows. Section 2 provides an introduction to fictive motion in spoken languages, touching on psychophysics phenomena that some have appealed to in accounting for these constructions, followed by an overview of fictive motion in sign languages. Section 3 presents our data set and the methods applied in this study. In Section 4, we lay out our findings on fictive motion in DGS and other Western sign languages by type of construction involved: Starting with fictive motion involving two classifiers, we then present fictive motion with embodiment and a classifier, as well as examples of a lexicalized speed/distance marker that seems to originate in fictive motion. In Section 5, we discuss anatomical and cognitive-perceptual motivations for fictive motion use in sign languages and extend our findings to lexical uses of fictive motion and fictive motion in non-Western sign languages. We then consider our findings from the more general perspective of visual communication. Section 6 concludes with a general discussion of how physiological considerations shape the grammars of sign languages, as they do in fictive motion.

2 What is fictive motion?

2.1 Fictive motion in spoken languages

Fictive motion in spoken languages involves the use of a lexical item denoting motion for entities that are not, in fact, moving. Talmy (1996) describes a wide range of fictive motion types, including different types of paths, such as emanation (The light is shining into the cave, p. 222) and coverage (The fence goes/zigzags/descends from the plateau to the valley, p. 244). These path types do not involve veridical movement. Rather, a motion verb or directional preposition is used to describe the extent of an object (e.g., a beam of light or a fence).

In frame-relative fictive motion (Talmy 1996, 2000), both veridical and nonveridical motion are involved, as in the English translation of Figure 1, The trees rushed past me. The speaker is moving veridically but the subject of the motion verb rush is the factually stative trees. Talmy (1996: 134) conjectures that psychophysical phenomena such as induced motion (Duncker 1929; Wade and Swanston 1987, among many) and the motion aftereffect might be the source of frame-relative fictive motion (and see Duong 2021 for an overview of cognitive approaches to fictive movement in spoken languages). Induced motion builds on our understanding of motion as an entity’s change in position over time, which is evaluated with respect to a frame of reference. If that frame of reference or background is moved instead, we may perceive this as movement of the entity itself. Talmy provides the example of a person sitting on a train, moving forward through their surroundings (veridical movement) but having the perception of being stationary while the surroundings move past (non-veridical movement) (see also Ma 2016; Moore 2020).[1] An example of the motion aftereffect is when one stops spinning but has the perception of the surroundings now turning about oneself in the complementary direction (see Hassoun 2021).

Sentences containing frame-relative fictive motion are understood not as delivering perceptual information (we know trees do not rush by as we drive) but as delivering conceptual information. According to Svorou (1994), the Ground in fictive-motion constructions is typically a larger, often immovable entity easily perceptible and often culturally significant/familiar, e.g., the scenery in (1). The factually moving Figure is typically a smaller, (more) movable individual, less easily perceived but more salient to understanding the event, like the subject I in (1) (Talmy 1975, 1983). Typically, languages represent the relative change in position between moving and immobile entities by mapping the actual mover onto Figure and the immobile entity onto Ground. However, spoken languages also allow representing the immobile entity as a moving Figure and the (location of the) moving entity as the Ground. This is illustrated in (1b), where the factively moving I (the speaker) is encoded as the Ground with respect to which the scenery moves.

(1)
a.
I rode along in the car and looked at the scenery we were passing through.
b.
I sat in the car and watched the scenery rush past me.
(Talmy 1996: 238)

Talmy assumes sentences such as (1a) adopt a global frame of reference or a bird’s-eye perspective, but those like (1b) adopt a local frame of reference centered on the observer, following their point of view. Alternative accounts assume that fictive-motion descriptions build on a blended conceptual space à la Fauconnier and Turner 1996 (discussed further in Section 2.2.1.2), whose Figure-Ground mapping reverses the mapping of the factive-motion construal, i.e., the factively moving Figure becomes a fictively stationary entity and the factively stationary Ground becomes a fictively moving entity (Moore 2020).

Most instances of frame-relative fictive motion discussed for spoken languages involve a fast-moving individual such as a person driving or running; the fictive motion is usually reliant on the induced motion a person sitting in a moving vehicle or running would perceive. Such construals are common in creative uses of language (Ma 2016: 160). Frame-relative fictive-motion involves ego-centric descriptions – told from the viewpoint of the character perceiving the induced motion – and thus motion is represented as relative to the ego. The ego provides an unchanging reference point, and their subjective experience is highlighted. Ma (2016) reasons that an ego-centric perspective is likely a residue of a world-view retained from early childhood. Moving beyond our own perspective and taking on other perspectives requires a number of cognitive operations that are difficult for children before a certain age to perform (Piaget and Inhelder 1956: 171–193).

2.2 Fictive motion in sign languages

As Liddell (2003) observes, sign languages often use tracing classifiers to depict an object’s form and extent, which do not involve a verb of motion. Such constructions do not involve fictive motion in a strict sense and thus we focus exclusively on frame-relative fictive motion in this paper.[2]

An important difference between sign and spoken languages with respect to conveying motion is that all articulators of sign languages are visible to the interlocutor and allow iconic visual representations of movement. The hands may stand in for Figure and Ground and may directly depict a relative change in position between two entities. Since sign languages are perceived visually, sign fictive motion constructions could in theory trigger psychophysical effects in the viewer, especially given examples like those in Figure 1. However, we know of no evidence that fictive motion triggers induced motion effects.[3]

Before we dive further into a description and analysis of fictive motion in sign languages, we give an overview of sign language constructions that are involved in fictive motion (Section 2.2.1) and provide an overview of previous work on fictive motion in sign languages (Section 2.2.2).

2.2.1 Sign language constructions involved in fictive motion

2.2.1.1 Classifier constructions

Classifier constructions (CCs) are widely used across sign languages to depict the movement, location, or manipulation of an entity, as well as to provide information about the visual characteristics of an entity, e.g., its shape or size (Zwitserlood 2012).[4] While they occur in ordinary conversation, CCs occur with higher frequency in narratives (Morford and McFarlane 2003). As Figure 2 illustrates, each form component of a CC contributes to the meaning of the whole. The handshapes of dominant and non-dominant hand characterize the entities involved, in Figure 2 an anthropomorphized cat walking upright and the top of a tram car. The locations and relative orientation of the hands with respect to each other depict where the cat is located with respect to the tram car, and the movement of the dominant right hand (index and middle finger wiggle forward on the non-dominant hand) depicts the movement of the cat.

Figure 2: 
DGS: CC depicting the cat sylvester walking on top of a trolley (DGS Corpus, https://www.sign-lang.uni-hamburg.de/meinedgs/html/1419130_de.html#t00003104).
Figure 2:

DGS: CC depicting the cat sylvester walking on top of a trolley (DGS Corpus, https://www.sign-lang.uni-hamburg.de/meinedgs/html/1419130_de.html#t00003104).

Experimental evidence suggests that not all components of CCs contribute to building meaning in the same way. Classifier handshapes are accepted as linguistic elements across linguistic theories: Their inventory is language-specific, they are acquired later than other components of CCs, and they are interpreted categorially. Locations and movements, on the other hand, form part of a more analogue system provided by human spatial cognition (for an overview of experimental work on CCs, see Zwitserlood 2021), which is why some see CCs as co-existing systems of visual and linguistic representation (e.g., Cogill-Koez 2000; Liddell 2003). More recently, the cognitive linguistics literature treats them as fully linguistic (Lepic and Occhino 2018, i.a.), a stance we build on.

Roughly, we distinguish between whole-entity classifiers, where the hands come to stand in for an entity (e.g., Figure 2), and handling classifiers, where the hands depict manipulating entities of different shapes (e.g., a mug vs. a toothbrush, Zwitserlood 2012).

2.2.1.2 Embodiment

In addition to representing referents on the hands, signers can also use their whole body to depict the actions, utterances, thoughts, and emotions of another (typically animate) referent. We use the term embodiment (Emmorey and Falgier 1999) for this phenomenon, which is also known as role shift or constructed action, among others (Aristodemo et al. 2021; Cormier et al. 2015; Hodge and Ferrara 2014; Perniss et al. 2010). With embodiment, a character’s body parts are mapped onto analogous body parts of the signer, and the event space is projected onto the signing space relative to the perspective and size of the character whose actions are portrayed (de Beuzeville et al. 2009; Quinto-Pozos 2007; Quinto-Pozos and Mehta 2010). The signer lets us see the event from the perspective of the character experiencing it, that is, from their point of view. As a discourse strategy, embodiment is considered to add vividness and informativeness to narratives, as it allows the most detailed portrayal of a referent’s actions and/or emotions. Presumably, this is because each of the signer’s (torso and up) body parts can depict an action of the referent simultaneously (Quinto-Pozos 2007).

A concept that is closely connected to embodiment is that of surrogate blends (Liddell 2003). A conceptual blend is an overlay of mental spaces in which structural components of each mental space are fused into a new, blended space (Fauconnier and Turner 1996). In a surrogate blend, the signer fuses real space, i.e. the actual space containing the signer and their immediate environment, with narrative space (Dudis 2004), which contains all the non-visible elements of the story event that are projected onto the blended space. In the example in Figure 3 below, the signer embodies a boy heaving himself onto a log. The narrative space thus contains at least a little boy and a log as potential referents to be included in the surrogate blend. The signer fuses this narrative space with the real space in front of him by creating a surrogate blend in which his head, torso, arms, and hands map onto those of the boy. The empty space that the signer’s hands are grasping is mapped onto the log in narrative space. The semantic structure of this embodiment then involves two referents, one that is made visible in the signer (the boy), and one that remains invisible (the log). However, we can infer the log’s position and potential movement via the hands’ position or movement in space.

Figure 3: 
ISL: boy grabbing a log of wood.
Figure 3:

ISL: boy grabbing a log of wood.

Embodiment may be combined with CCs to show either the actions of a single referent (Figure 4a) or those of several referents (Figure 4b) (see, e.g., Dudis 2004 on body partitioning and megablends or Fischer and Kollien 2006 on parallelized constructed action). Finally, signers can use conventionalized signs simultaneously with highly depictive embodiment and classifiers (Aarons and Morgan 2003; Dudis 2004; Metzger 1995; Perniss 2007; Sallandre 2007; Sallandre and Cuxac 2002; Slobin et al. 2003).

Figure 4: 
DGS: combinations of embodiment and CC. (a) The signer depicts Tweety bird swinging back and forth on a swing while whistling. He embodies the bird while at the same time showing Tweety’s legs hanging over the swing using a CC. (DGS Corpus, https://www.sign-lang.uni-hamburg.de/meinedgs/html/1413232_de.html#t00001345). (b) The signer embodies a person watching another referent (depicted on the left hand via an entity classifier) run past. (DGS Corpus, https://www.sign-lang.uni-hamburg.de/meinedgs/html/1419124_de.html#t00003533).
Figure 4:

DGS: combinations of embodiment and CC. (a) The signer depicts Tweety bird swinging back and forth on a swing while whistling. He embodies the bird while at the same time showing Tweety’s legs hanging over the swing using a CC. (DGS Corpus, https://www.sign-lang.uni-hamburg.de/meinedgs/html/1413232_de.html#t00001345). (b) The signer embodies a person watching another referent (depicted on the left hand via an entity classifier) run past. (DGS Corpus, https://www.sign-lang.uni-hamburg.de/meinedgs/html/1419124_de.html#t00003533).

2.2.2 Fictive motion in the sign-linguistics literature

Though examples of fictive motion are attested in instructional materials and grammars for sign language teachers (for DGS, Papaspyrou et al. 2008: 111), descriptions of the phenomenon in the linguistics literature are rare. The earliest we know of is Lucas and Valli (1990). Through picture and video descriptions of people and objects moving past each other collected from three native ASL signers, they show that ‘perceived motion’ constructions form a productive subclass of CCs, able to depict the movement of different entities (e.g., people, vehicles, coins) in different directions, at different speeds, or in different constellations with respect to each other (e.g., passing each other on the side or one above the other). The construction is also used to show passing a plurality of entities (e.g., trees) through a repeated movement sequence of the hand representing multiple Ground objects. Perceived motion can involve either only CCs (e.g., a car driving along a road) or a combination of embodiment and a CC. In the latter case, the signer embodies the Figure involved in a motion event and their hand(s) represent some object/surface passing them at different angles.

Liddell (2003) considers different types of fictive motion in Talmy’s taxonomy and touches upon frame-relative fictive motion. Building on Lucas and Valli (1990), Liddell observes resemblances between fictive-motion constructions in sign languages and cinematographic strategies related to camera perspective. In representing a moving object as stationary, the signer creates the effect of a “viewing window” similar to a camera that films the moving object from the front while moving with it at the same speed (Liddell 2003: 297). The parallels to cinematography are elaborated in Müller (2018), who frames fictive motion in DGS in terms of tracking shots, i.e. shots in which the camera follows or moves alongside the person or entity being recorded. In cases of parallel use of embodiment and classifiers, Müller suggests this complexity allows the interlocutor to reconstruct a character’s perceptual experience during a motion event; as a narrative device, it helps us enter their viewpoint. For instance, when the hands pass at the sides of the signer’s head to show a character driving past a number of trees, the interlocutor has access to the spatial arrangement between Figure and Ground from an observer’s and from a character’s perspective simultaneously.

3 Data set and methodology

To address the question of whether and how frame-relative fictive motion is used in motion descriptions in sign languages, we took a two-pronged approach. On the one hand, we analyzed 16 re-tellings of the Canary Row cartoons in DGS (by 16 signers). Thirteen of these re-tellings were taken from the VIDI Sign space project (Zelle et al. 2002–2009), the remaining three are from the DGS Corpus (Konrad et al. 2020). The re-tellings were chosen because they contain a large number of different motion events and because they allow for future cross-linguistic comparison given their frequent use as elicitation materials in sign languages. Since we further wanted to show that fictive motion is not limited to DGS, we also looked at a selection of narrative and lyrical texts in other sign languages to see if we could find similar uses of fictive motion there. Note that our small sample of sign languages is not representative from a typological point of view; it was determined mostly on the basis of data availability and our familiarity with the respective sign languages. We include data from ASL, BSL, ISL, LIS, LSF, and NGT. Most of these languages have been shown to be genetically related to some extent (Abner et al. 2024).

3.1 DGS data and annotation

The Canary Row cartoons consist of eight episodes, and we analyzed re-tellings of all episodes from three DGS Corpus signers (24 total). For the VIDI Sign space project re-tellings, episodes two and eight were not available for analysis, and one participant did not provide episode 3, resulting in 77 episodes retold. In total, we analyzed 89 min of data. The set of DGS signers who provided the re-tellings was balanced for gender (8 female) and covers a wide age range (18–61+).[5]

A proficient L2 signer first coded for the presence of fictive motion in the dataset. All articulations that involved moving a factively stationary Ground entity were coded as fictive motion. The first author of the study (also a proficient L2 signer) then double-checked each annotation; both annotators discussed cases where their annotations differed and came to an agreement. For each instance of frame-relative fictive motion, we then annotated what the Figure and Ground objects depicted were (e.g., Sylvester and the entrance of a bowling alley), whether they were represented by a lexical sign, an entity classifier, a handling classifier, or embodiment, and whether only the hand representing the Ground moved or both hands moved.

3.2 Further sign language data and annotation

For ASL and LIS, we analyzed two stories/poems each. For BSL, ISL, LSF, and NGT one story or poem was analyzed. Table 1 lists all videos on which we base our discussion together with the names of the story-tellers/artists.

Table 1:

List of sign language videos included in the analysis.

Artist Title Source
ASL

Ella Mae Lentz Roadrunner Wins Again https://www.youtube.com/watch?v=82KcldIwJx8
Debbie Rennie;

Peter Cook
Psychotic Memory https://www.youtube.com/watch?v=RWBrpu4Amuk (26:00–29:30)

BSL

Richard Carter Owl https://www.youtube.com/watch?v=aDFTIRSKXRg

ISL

David Eccles Frog, Where Are you? Signs of Ireland (SOI) digital corpus (Leeson and Saeed 2012)

LIS

Giuseppe Giuranna Musica/Music https://www.youtube.com/watch?v=L92dnupmGuU&list=PLWA0dsP-DBGDI9t1tODkm9VTsY7m7SteR&index=1
Lucia Daniele Tempo/Time https://www.youtube.com/watch?v=rohNzdku5Fw

LSF

Edwige Ratagne Bonhomme de pain d’épice/Gingerbread Man https://www.youtube.com/watch?v=ZNqJzPvDZMY

NGT

Tony Bloem Slow Motion Portrait https://cnlse.es/es/recursos/biblioteca/tony-bloem-slow-motion-portrait-v%25C3%25ADdeo

Since our goal is to show the existence of different types of frame-relative fictive motion across a (limited) range of different sign languages, we do not provide a quantitative phonetic data analysis (as, e.g., Kinect motion tracking technology in Puupponen et al. 2014; or Computer Vision models in Kimmelman et al. 2024). We use videos available on the internet and not collected for linguistic study, where camera angles and lighting vary. We separately annotated the articulations using our unaided eyes, then checked for consistency. We found no annotation discrepancies, which is unsurprising given that the articulations are large. We believe our method adequate to the task of presenting an initial sketch of fictive-motion techniques in sign languages.

4 Results

In the DGS dataset, we found a total of 66 fictive motion constructions involving classifiers and/or embodiment. Of the 16 signers, 15 produced at least one fictive motion construction. Six of them produced only one or two instances of fictive motion in their re-tellings; the remaining nine ranged from three to ten tokens of fictive motion in their overall re-tellings. To put these numbers into perspective and see how frequent a phenomenon fictive motion is in our dataset, we compared the number of fictive motion tokens for each of the three DGS Corpus signers with their total number of sign productions in the Canary Row re-tellings.[6] Fictive motion made up 1.1–2.0 % of their total productions, which is in line with token frequencies of fictive motion in spoken language data (Stosic et al. 2015).

The fictive motion tokens are listed in Table 2 by the type of construction encoding Figure and Ground referents and by movement type. Thirty-eight tokens involve only CCs, while in 19 the Figure object is encoded via embodiment and the Ground via a CC. The remaining nine feature a (general) entity classifier representing the Figure and a lexicalized speed/distance marker we call B-Flap, whose origins seem to be grounded in fictive motion. Note that, in most tokens, it is not only the hand representing the Ground object that moves, but both hands articulate a movement (52/66 or 79 %).

Table 2:

Overview of fictive motion constructions in DGS.

Figure Ground Only Ground

hand moves
Ground and Figure

hands move
Total
Entity classifier Entity classifier 0 38 38
B-flap 1 8 9
Embodiment Entity classifier 9 3 12
Handling classifier 4 3 7
Total 14 52 66

In the following sections, we present each type of fictive motion using examples from DGS and, if attested, from other European sign languages. We start with the most frequent type – combinations of CCs on both hands – and then move onto combinations of embodiment with an entity classifier. We discuss embodiment combined with a handling classifier separately, as it involves the creation of surrogate blends with non-visible elements that move fictively. Last, we discuss the development of a lexicalized marker of speed and/or distance in DGS, which we claim is grounded in fictive motion.

4.1 Fictive motion with two classifiers

In all 38 tokens of fictive motion involving two classifiers, one for the Figure object and one for the Ground object, both hands articulate a path movement. The two events from the Canary Row cartoons that were most often depicted with this type of fictive motion are an object moving up or down a drainpipe (12 tokens), illustrated in Figure 5a, and Sylvester colliding with a wall (14 tokens), shown in Figure 5b.

Figure 5a features a vertical movement where the hands pass one another as they move farther apart and 5b constitutes a horizontal movement where the hands move towards one another, hence there seems to be no clear preference for a particular absolute movement direction or relative movement direction of the hands with respect to each other.

That the hand representing the Figure does not have to move in these constructions is shown by additional data from NGT. In Figure 6a, Tony Bloem shows a car speeding along a street by encoding the car via an entity classifier on his immobile right hand, and encoding (sections of) the street on his left hand. The left hand repeatedly moves forward and backward underneath the right hand, representing different subsections of the street as the car passes over them. Various permutations of such surface-passing-below-vehicle constructions can also be seen in Lucas and Valli (1990) for ASL, and in Papaspyrou and colleagues (2008) for DGS. Another example of fictive motion involving two classifiers comes from a re-telling of Frog Where Are You? (Mayer 1969) in ISL. In Figure 6b, David Eccles shows a boy (Figure) falling off a deer’s antlers (Ground) and down a cliff. Eccles encodes the boy via a V()-classifier on his right hand and the deer’s head via a 5 ()-classifier on his left hand. While the V()-hand moves down showing factive movement of the boy, the 5 ()-hand moves up, showing fictive movement of the deer’s head. The effect is to increase the relative distance between boy and deer’s head in the falling event, as well as to enhance the viewer’s perception of the speed at which the boy falls.

Figure 6: 
Examples of fictive motion in CCs from other sign languages. a) NGT: a car speeds along a fictively moving street (from Slow Motion Portrait). b) ISL: a boy falls off a deer‘s head.
Figure 6:

Examples of fictive motion in CCs from other sign languages. a) NGT: a car speeds along a fictively moving street (from Slow Motion Portrait). b) ISL: a boy falls off a deer‘s head.

4.2 Fictive motion with embodiment (Figure) and an entity classifier (Ground)

In twelve tokens of fictive motion in our DGS data set, the Figure object is encoded via embodiment. In contrast to pure classifier combinations, the articulator(s) representing the Figure object often do(es) not move, that is, the signer’s head and torso remain immobile while only their hand representing the Ground object moves (9/12 tokens or 75 %). We will discuss anatomical and phonological motivations for this finding in Section 5.1.1. The scenes from Canary Row most frequently depicted via fictive motion during embodiment involve someone appearing from below a windowsill (five tokens, see Figure 7a) or looking around a corner (three tokens, see Figure 7b). Further scenes that can be represented via embodiment and involve fictive motion are Sylvester colliding with a wall, or being catapulted into the air (two tokens, Figure 7c).

Figure 7: 
DGS: fictive motion of a ground object when the Figure is represented via embodiment.
Figure 7:

DGS: fictive motion of a ground object when the Figure is represented via embodiment.

Let’s walk through some of these examples together. In Figure 7a, the signer’s head embodies that of Sylvester while the windowsill (the Ground) is represented via the flat-B-()-hands. The change in Sylvester’s head position from below the windowsill to above it is shown by the hands moving down quickly. In Figure 7b, the same signer embodies Sylvester while her hands form an entity classifier for the corner that Sylvester peeks out from. The hands representing the Ground are pushed leftward, but the signer herself also moves. She displaces her head laterally to the right to indicate peeking. Finally, in Figure 7c, the signer embodies Sylvester, who is being catapulted into the air moving along the façade of a house. The signer’s hands form entity classifiers depicting either the façade or the air in front of Sylvester, and they move upwards repeatedly.

Such combinations of embodiment and classifiers for fictive motion constructions are not limited to DGS. In Figure 8a from ASL, Ella Mae Lentz depicts a motorcyclist climbing out of the chasm he has fallen into. She shows the position change between the motorcyclist’s head (Figure) and the chasm lip (Ground) by lowering the flat-B () hands representing the chasm rather than by getting on tiptoe to raise the embodied motorcyclist’s head. Note that in contrast to Figure 7a from DGS, the movement is gradual, mimicking that the motorcyclist climbs up slowly with great effort, while Sylvester in 7a jumps up onto the windowsill quickly. Thus, the dynamics of the fictive motion are those of the factive motion they inform us about. In Figure 8b from LSF, Edwige Ratagne embodies a fox (Figure) descending into deep water (Ground), whose surface is represented by the flat-B () hands. Instead of bending her knees to show downward movement of the fox, Ratagne shows the initial versus final position change between fox and water by moving the hands upward – a fictive motion. At the same time, the artist’s head tilts backward, to show the fox keeping their nose above water – a factive motion.

Figure 8: 
Fictive motion of a ground object with embodiment for the Figure in other sign languages: a) ASL: motorcyclist climbing out of chasm; chasm lip lowers (Roadrunner Wins Again). b) LSF: fox descends into water; water level rises (Bonhomme de pain d'épice). c) NGT: trees flying by a person sitting in a car (Slow Motion Portrait). d) LIS: street passing under a driver (Musica).
Figure 8:

Fictive motion of a ground object with embodiment for the Figure in other sign languages: a) ASL: motorcyclist climbing out of chasm; chasm lip lowers (Roadrunner Wins Again). b) LSF: fox descends into water; water level rises (Bonhomme de pain d'épice). c) NGT: trees flying by a person sitting in a car (Slow Motion Portrait). d) LIS: street passing under a driver (Musica).

In Figure 8c from NGT (repeated from Figure 1), Tony Bloem depicts an event that commonly triggers fictive motion across sign languages (Lucas and Valli 1990): Someone is sitting in a vehicle that is speeding past the landscape. The artist uses multiple means to indicate that a car is speeding. Just before this scene, Bloem shows the speedometer swinging to the right, he narrows his eyes, tenses his lips as he blows through them, and leans backward to demonstrate Newton’s Third Law (movement forward triggers a force to move backward), coherent with the idea that distance is being covered fast. As illustrated in Figure 8c, he then embodies a person sitting in the car (Figure) while his hands represent trees (Ground) that seem to be speeding past. We found a similar construction used in ASL (in Debbie Rennie’s Psychotic Memory, min. 27:20). In Figure 8d from LIS, Giuseppe Giuranna also shows a driver (Figure) passing quickly above a street (Ground). Here, the Ground is represented using a general entity classifier (see Zwitserlood 2003: 110). The index finger points downward and moves toward the signer’s body repeatedly, with each movement pointing toward a different subsection of the street as the car passes over them.

4.3 Fictive motion with embodiment (Figure) and a handling classifier (Ground)

While the Ground in fictive motion constructions employing embodiment is typically encoded by an entity classifier, there were also three cases in our DGS data where the Ground is represented by a handling classifier. The type of event portrayed in this way involves either Sylvester or the Granny getting up on tiptoe to look out a window or over a windowsill. One example of Granny looking out a high window is illustrated in Figure 9. The signer embodies Granny holding on to the frame of the open window. To show her pushing herself upwards to look over the window, the signer moves his head and chin slightly upwards, i.e. an instance of factive movement, while at the same time moving his hands downward. He creates a surrogate blend of the narrative space (shown in 9a) and the real space involving himself and the space around him. The space in front of his empty hands is mapped onto the window frame (Ground), and as this ‘empty’ space is displaced downwards by moving the hands down, the frame mapped onto it moves downwards fictively.

Figure 9: 
DGS: scene from Canary Row cartoons where Granny looks out from a tall window. a) Scene from the original cartoon. b) DGS depiction of the same scene.
Figure 9:

DGS: scene from Canary Row cartoons where Granny looks out from a tall window. a) Scene from the original cartoon. b) DGS depiction of the same scene.

Again, such combinations of embodiment and handing classifiers to create fictive motion constructions are not limited to DGS. In Figure 3, we saw an example from ISL, where a log fictively moves downward. A second example comes from the BSL story Owl (Figure 10). Richard Carter depicts a boy (Figure) looking into a garbage can (Ground) that is taller than him. He moves his hands downward, as if pushing down on the can lip.[7] The message is that the boy has lifted himself up by pushing down on the can. The boy’s hands grasp the top edge of the can and thus are a handling classifier. In a surrogate blend, the can lip is mapped onto the space between the signer’s hands. Since the hands move downwards, the entity they manipulate also moves downwards, thus this is a case of fictive motion (in that the can lid does not actually lower). The result is that the boy’s whole body is understood to move upward through the relative change in position between the boy’s head/chest and his hands Thus, a metonymic mechanism (hands representing whole body) is at play.

Figure 10: 
BSL: boy looking into garbage can; arms move instead of legs (Owl, min. 5:59).
Figure 10:

BSL: boy looking into garbage can; arms move instead of legs (Owl, min. 5:59).

4.4 A lexical speed/distance marker originating in fictive motion

In Loos and Napoli (2023), we argued that DGS has a lexical marker of speed or distance that consists of the B-()-hand performing a repeated wrist flap. In the current data set, we find nine tokens of this sign that are compatible with a fictive motion interpretation. In Figure 11, for example, the signer depicts Sylvester (Figure) slowly crawling up the outside of a tall drainpipe (Ground) (depicted on the left of Figure 11). The drainpipe consists of sections connected by couplers, which create horizontal lines on the pipe that can be represented by the signer’s flat-B()-hand. Meanwhile, his dominant hand assumes the 1()-classifier handshape representing the cat. Both hands move: the 1()-hand moves slowly upwards, while the B()-hand flaps quickly (via wrist flexion) and repeatedly. The repeated movements of the non-dominant hand are construed as representing different couplers connecting drainpipe elements. The effect is to increase the perceived distance covered by the movement; since the Ground moves in the opposite direction of the Figure, the relative change in location between Figure and Ground is greater and happens more quickly than if only the Figure was moving. The same signer uses the same construction again to show Sylvester climbing up the inside of the drainpipe. Other signers in our dataset use B-Flap to represent the air fictively moving past the Figure, who is e.g., being catapulted upwards or rolls down the street. It is these latter uses that presumably serve as a bridging context that allows the lexicalization of this classifier: When B-Flap is used to depict the air passing by Sylvester as he races towards a bowling alley, B-Flap becomes ambiguous and can either represent air or a heterogenous array of objects past which the cat moves. As we argue in Loos and Napoli (2023), once B-Flap is interpreted to stand in for a heterogeneous class of objects, it can no longer be interpreted as a classifier but becomes lexicalized.

Figure 11: 
DGS: cat climbing up the outside of a drainpipe. https://www.sign-lang.uni-hamburg.de/meinedgs/html/1413242_de.html#t00004634.
Figure 11:

5 Discussion

We first discuss the motivations for fictive motion within sign languages. Then we turn to predictions of those motivations with regard to the lexicon and the occurrence of fictive motion in sign languages around the world. Finally, we argue that fictive motion is inherent in visual communication of all types.

5.1 Motivations for fictive motion within sign languages

There are two basic types of motivation for fictive motion within sign languages. One has to do with how we can move our bodies and what makes a sensible phonology. The other type has to do with cognitive perceptual needs.

5.1.1 Anatomical and phonological motivations for fictive motion

Some of the instances of fictive motion we saw in Section 4 seem to be conditioned primarily by the affordances of anatomy as well as by phonotactic constraints operating across sign languages. As we showed in Section 4.2, signers sometimes embody the Figure in a motion event, i.e. the head, torso, and limbs of a character in the story are mapped onto those of the signer, and thus the signer takes on that character’s role in performing some type of movement. Now, movement of the signer’s body is limited both anatomically and phonologically in sign languages. Displacement of the signer upward along the vertical axis is limited; even standing erect on tiptoe will achieve only a few centimeters’ displacement. Downward displacement by bending the knees and/or sagittal spine flexion is anatomically feasible, as is horizontal displacement by lateral torso flexion and/or foot movement. However, the phonology of most established sign languages does not include articulation below the waist (Nyst 2007) – to put it simply, a signer embodying a character will not walk around to show that character’s movements. To circumvent the restrictions placed on a signer by their anatomy and the phonology of their language while still maintaining embodiment, they may either partition off their dominant hand to show translocatory movement with the help of an entity classifier (as illustrated in Figure 4a), or they may employ a fictive motion construction, perhaps with the help of metonymy (as illustrated in Figure 10). To show displacement of an embodied character, a signer may show its relative change of position with respect to a Ground entity by depicting the Ground as moving. The resulting construction increases articulatory efficiency by reducing the energy expenditure necessary to show the relative change in position between Figure and Ground. Instead of moving upwards either from a crouching position or onto one’s tiptoes, the signer’s hands may depict the Ground as moving down (e.g., a windowsill, a chasm), and instead of bending one’s knees one can show the Ground as moving up (e.g., a river’s surface). Fast movements in either a vertical or horizontal direction may be shown by multiple Ground objects moving past the embodied character (e.g., trees moving past a car, or different parts of a house façade racing across the signer’s field of vision).

Some movements that are within the purview of sign language phonology but physiologically difficult may be enlarged with the help of fictive motion. Embodying Sylvester peeking out from behind a corner of a wall (Figure 7b), for instance, requires the signer to displace her head laterally (and lightly sagittally) to the right to depict peeking. Displacement of the head is dispreferred from a physiological perspective: Lateral displacements are a cause for cervical spine injuries in sports (Swartz et al. 2005), and sagittal displacements cause the lower spine to go into hyperflexion and the upper cervical spine to hyperextend (Morrison 2018, cited in Tariq et al. 2022).[8] Hence it is not surprising that this physiologically strenuous movement of the Figure should be kept small, and that it is complemented by fictive motion of the corner (Ground) to the left to enlarge the relative change in position between Figure and Ground.

While anatomy and phonology constitute one motivation for fictive motion, they are certainly not the only factors and, arguably, not even the main factors driving fictive motion constructions. In our DGS data set, only 28.8 % of all fictive motion tokens involve embodiment, which means that more than two thirds of the fictive motion constructions are formed only from classifiers and/or lexical signs, where only the signer’s hands need to move. We now turn to further, conceptual-perceptual motivations for fictive motion.

5.1.2 Cognitive-perceptual motivations for fictive motion

In fictive motion involving two classifiers, the hand depicting the Ground can either represent a single entity or a sequence of identical or at least similar entities. In both cases, fictive motion serves to show that a given translocatory movement is fast or covers a great distance. We will discuss each case in turn starting with the Ground hand representing multiple entities.

When the hand encoding the Ground depicts a series of quickly moving stationary objects, the effect is to indicate that a character is moving quickly past those objects. In our DGS dataset, nine tokens involve multiple Ground objects or multiple homogeneous parts of a single object (e.g., couplers of a drainpipe, rows of bricks). In NGT, we saw Tony Bloem depicting sections of a street passing underneath a car. This type of fictive motion is frequently found in sign languages; Papaspyrou and colleagues (2008) describe a similar scenario for DGS where a plane takes off. The signer repeatedly passes the non-dominant hand depicting stretches of runway under the dominant hand depicting the plane.[9] Each iteration of the non-dominant hand’s path movement corresponds to one subpart of the movement event. We construe the immobile hand as representing the same entity (a car or a plane) undergoing a continuous movement, while the moving hand represents different subsections of the street/runway that are covered in each motion subevent.

Müller (2018) suggests that this strategy is grounded in physiology: it reproduces the eye saccades involved in scanning one stretch of ground when moving past it, then jumping back and scanning the next section of ground, etc. We propose that cognitive-perceptual reasons underlie the use of a fictive over a factive motion construction here. A factive-motion representation of a car racing along a street might have the B-hand representing the Figure moving forward either once or multiple times. If the hand depicting the car moves forward a single time, it is limited by the anatomy of the arm from showing that the car covers a great distance. If the car-hand moves forward multiple times, we run into a different problem. A repeatedly moving hand can be interpreted as referring to either the same entity across a series of (different) events, or to different entities engaged in the same type of event (see Kuhn and Aristodemo 2017 for pluractionality interpretations of repeated movement in LSF). In other words, repetition is interpreted as a quantification over events and repeating the movement of the car-hand should have the reading ‘the same or different car(s) repeatedly move along the same path’. This is not the reading we want to convey – we want to depict a single extended motion event. In a lexical predicate, repetition could be interpreted as marking continuous aspect and therefore at least implying that a great distance was covered by the car moving over an extended period of time (see Reagan 2007 on repetition as a continuous aspect marker). However, this marker does not apply to CCs denoting spatial events.[10] As Wilbur (2008: 241) explains, the path movements of classifiers are “lexically specified as meaning spatial path, extent, or shape outline… Hence these paths are not available to be interpreted temporally….” Instead, movement repetition of a classifier denoting a spatial event is interpreted more iconically, as indicating multiple occurrences of an event (see Wilbur 2008: 242, fn. 28), perhaps allowing the transitional movements between each iteration to be interpreted as the entity moving back to the beginning, or, alternatively, allowing each repetition to indicate a new event with potentially different event participants. This is how we get the interpretation that several different stretches of road passed by. Hence, a fictive-motion representation is preferred over a factive-motion one in cases where a single entity passes a number of like entities.

Let us now turn to cases of fictive motion where the hand encoding the Ground object depicts a single entity. As mentioned in Section 4.1, all tokens of fictive motion with two classifiers exhibited movement on both the dominant and the non-dominant hand. The hands moved either towards one another, e.g., when Sylvester collides with a wall, or away from one another, e.g., when Sylvester climbs up a drainpipe, which itself seems to be moving downward. The effect here is to increase the perceived distance covered by the movement and/or its perceived speed, as the movement articulations of both hands are combined additively for the total effect.

At first sight, these constructions look like combinations of fictive and factive motion in one predicate. One hand encodes the Figure and the other the Ground object, and both hands articulate a path movement. Since movements in CCs are typically analyzed as meaningful (Zwitserlood 2003), each path movement should correspond to the movement of Figure or Ground, respectively. However, we argue that what we observe in these data are not, in fact, combinations of fictive and factive movement, but rather combinations of articulatory movements that create a single movement interpretation.

First, we note that combinations of fictive and factive motion within one predicate do not occur in spoken languages. Talmy (1996: 238–239) observes that English cannot represent fictive and factive motion via a single predicate (see 2b).

(2)
a.
I was walking through the woods and this branch that was sticking out hit me.
b.
*We and the scenery rushed past each other.

The jarring effect of (2b) may be comparable to that of zeugma, as in He lost his keys and his mind (Crystal 1999). Here lost is understood literally with respect to the first conjunct of the conjoined direct object, while it is understood as part of an idiom with the second conjunct. Since each sense of lose imposes different selectional restrictions on its object (a concrete vs. an abstract entity), and since a single use of the verb has to instantiate one sense, lose cannot select simultaneously a concrete and an abstract object. One can debate whether the oddity of such sentences is grounded in lexical meaning or more in discourse context and our world knowledge. Either way, the analogy holds: in fictive-motion constructions in spoken languages, unacceptability may result from the fact that a predicate cannot hold true factively of one argument (we in (2b)) and fictively of another (the scenery in (2b)) simultaneously.

Second, we observe that signers do not interpret the articulatory movement of the hand encoding the Ground object as representing movement of that object. We showed two DGS signers a re-telling of Sylvester rolling into a bowling alley, where the signer encodes the cat via a general entity classifier and the entrance to the bowling alley via the C()-classifier (see Figure 12).

Figure 12: 
DGS: cat rolling into a bowling alley; 1()-hand shows factive motion of the cat and C()-hand shows fictive motion of the building’s entrance. https://www.sign-lang.uni-hamburg.de/meinedgs/html/1413234_de.html#t00004145
Figure 12:

DGS: cat rolling into a bowling alley; 1()-hand shows factive motion of the cat and C()-hand shows fictive motion of the building’s entrance. https://www.sign-lang.uni-hamburg.de/meinedgs/html/1413234_de.html#t00004145

Both hands articulate a movement towards and past each other. To see whether the signers interpreted the construction as containing two meaningful movements, we signed each part of the construction separately (1()-hand moving towards C()-hand and vice versa) and asked whether they matched the cartoon in Figure 12. Both signers commented that only the utterance in which the 1()-hand moved towards the C()-hand matched the cartoon, but not the C()-hand representing the bowling alley’s entrance moving towards the 1()-hand representing Sylvester. Hence, signers do not interpret the movement articulated by the Ground-encoding hand to carry meaning independently of the other hand’s movement. Instead, it seems that signers perceive a single movement of the Figure, a movement composed of the two hands’ concerted articulations.

We thus propose that the encoding of an entity’s motion through space in relation to another entity, especially when this motion is fast or covers a large distance, is achieved through the combined movement of both manual articulators. Rather than assuming that each hand articulates a distinct semantic unit, we propose that the two hands together articulate one predicate, and that it predicates motion of a Figure with respect to a Ground entity by virtue of the relative change in position of the hands encoding Figure and Ground. That is, the calculation of movement distance is additive: the combination of the factive and the fictive distances.

The analysis we present raises questions for some generative theories of the morphological make-up of CCs. Supalla (1978) and subsequent publications treat movement of a single hand as a morphological unit (e.g., Emmorey 2002; Schick 1990; Zwitserlood 2003), but such a treatment is inadequate here because the movement of the hand encoding the Ground is not meaningful by itself. Alternative accounts such as DeMatteo (1977) claim that movement in CCs is best analyzed as analogous to the motion it describes rather than as a separate morpheme, but that analysis is also inadequate here, because the Ground object does not perform the motion we see the hand perform. In our examples, there is no single movement morpheme that denotes the movement of the referent associated with the moving hand; instead, this meaning arises from the interplay of articulatory gestures on both hands. A cognitive-linguistic approach like Construction Morphology (e.g., Lepic and Occhino 2018) may provide a descriptively more adequate account of frame-relative fictive motion in terms of a general ‘translocative motion’ schema that only specifies a change in position between Figure and Ground objects but leaves underspecified how this change comes about. We leave the concrete theoretical modeling of fictive motion constructions for future research.[11]

5.2 Prediction: where fictive motion should appear in sign languages

Given that fictive motion allows a sign language to express what it needs to within the physiological limits imposed by our bodies and within the phonological restrictions imposed by grammar, and given that fictive motion meets cognitive-perceptual needs, we expect fictive motion to be pervasive in sign languages. Here we argue that, indeed, this prediction is met. We first show that fictive motion occurs not just in CCs, but in the lexicon of sign languages. Then we show that fictive motion is attested in sign languages outside the Western ones we examined extensively in our study.

5.2.1 Fictive motion beyond classifiers in narrative

We show here that fictive motion pervades the lexicon, as well. We can see this by comparing techniques of sign language narrative to techniques in the established lexicon of sign languages, where the data below were drawn both from our DGS dataset and from spreadthesign.com (as accessed on 1 March 2023[12] unless otherwise noted). Where possible, we checked with dictionaries or lexical databases, including:

The signs in question recognizably contain classifiers that have been entrenched in the lexicon of their respective sign language. In our Canary Row data from DGS, the sign enter involved movement of both hands toward each other 35 times (see Figure 13). Both the moving Figure and the enclosure that it enters are represented by entity classifiers. Whether this is fictive motion or simply a phonological process of opposite movement, we cannot say. While certainly not all movement in sign phonology encodes physical movement, the movement shown here is at least compatible with fictive motion.

Figure 13: 
DGS: enter.
Figure 13:

DGS: enter.

The fictive-motion analysis of enter finds support by looking at other lexical items where similar parallel articulations of Figure and Ground hand are attested. For example, in the DGS sign flee both hands move in eleven tokens; here the dominant B()-hand moves under the non-dominant curved-B()-hand. This curved-B()-hand represents the exit of some enclosure, from which the entity represented by the dominant hand flees. Similar movement into or away from an enclosure, where the hand representing the enclosure moves away from the hand representing the Figure, is attested in hide in the sign languages of Brazil, Bulgaria, Denmark, Estonia, and Finland; and in escape in the sign languages of China, the Czech Republic, Finland, Germany, India, Latvia, Mexico, Slovakia, Sweden, and the UK.

Further common cases of co-articulation of Figure and Ground hands are the signs down (seven tokens), and up (sixteen tokens) in our DGS data.

Another example is train in Swedish SL (STS, Figure 14). The hand representing the train tracks (Ground) moves repeatedly underneath the hand representing the train itself (Figure). This is comparable to what we saw in Figure 8d, where the hand representing the road moves while the hand representing the car also moves.

Figure 14: 
STS: train.
Figure 14:

STS: train.

Another common example, though complex, involves metonymy (as we saw in Figure 10 with the lip of the garbage can): drive in the sign languages of Germany, Poland, Latvia, Portugal, Sweden, and the United States. The signer’s hands move forward, seemingly gripping a steering wheel. Movement of the driver/steering wheel forward is portrayed via moving only the hands through extension of the elbow, a joint that would otherwise be stable (i.e., not articulate) during driving. Factive movement of the car is thus shown metonymically via forward movement of the steering wheel and/or the driver’s hands. Since the driver’s torso remains still, there is also a fictive component, as forward movement of the hands/steering wheel can be shown only via elbow extension, which is not a part of driving.

Likewise, grow in the sign languages of America, Austria, and the Czech Republic features a ‘growing’ entity represented by a 5()-hand (Figure) that rises out of a C()-hand forming some kind of enclosure (Ground). Meanwhile, the C()-hand moves downward, resulting in a larger relative change of location between Figure and Ground. In elevator in the sign languages of America, Brazil, and Mexico, the hand that represents the wall moves vertically repeatedly and in the opposite direction from the hand that represents the moving elevator.

Finally, a range of examples in which we have fictive motion of the Ground while the Figure is represented via embodiment also occur (as in Section 4.2). Examples echoing that in Figure 7b include peek in the sign languages of Croatia and Finland, and sneak in the sign languages of Belarus, Iceland, Spain, and the UK.

We conclude that fictive motion of the wide variety of types found in narrative sparkles across sign language lexicons.

5.2.2 Fictive motion across sign languages

The classifier examples discussed in Sections 2 through 4 come from seven different Western sign languages, which might not all be genetically related, but which are open to claims of areal similarity (see Börstell 2017 for areal phenomena in Scandinavian sign languages). The lexical examples brought up in Section 5.2.1, however, are drawn from multiple languages around the globe, where neither genetics nor areal similarities are pertinent. Such examples spur us on to expect sign languages around the globe to use classifiers that make use of fictive motion. This expectation is met. Here we present examples of fictive motion in narratives of three non-Western sign languages.

In Figure 15 from Taiwanese SL (TSL), the signer embodies a hawk but partitions his hands off to form two classifiers: the right hand encodes the hawk itself or its beak, while the left hand represents the ground underneath. As the hawk spies his prey, the right Figure hand stays in one position. The left hand flaps (wrist extension and flexion), just like we observed for B-Flap in Section 4.4, showing the fictional movement of sections of the ground. From this we understand that the hawk is factively flying fast.

Figure 15: 
TSL: Hawk following his prey, fictive motion of the ground-hand (min. 0:56–0:57, https://www.youtube.com/watch?v=0vFOwgMHrSk).
Figure 15:

TSL: Hawk following his prey, fictive motion of the ground-hand (min. 0:56–0:57, https://www.youtube.com/watch?v=0vFOwgMHrSk).

In Figure 16 from Fijian SL, the signer embodies kittens running fast (Figure) in between the legs of a boy. The signer’s hands form body-part classifiers () that represent the boy’s legs (Ground) (Figure 16a). Instead of the kittens running forward, however, we see the legs of the boy moving backward, i.e. the signer’s hands articulate an arc-shaped backward movement past the signer’s head (Figure 16b). Since the boy does not, in fact, move backward, but instead stays in one place as the kittens move forward, the movement that the classifiers convey is fictive, which allows us to understand that the kittens have factively moved.

Figure 16: 
Fijian SL: kittens race between a boy’s legs, fictive motion of the boy’s legs backwards (from min. 00:06 of page 10, https://deafworldaroundyou.org/View?id=168).
Figure 16:

Fijian SL: kittens race between a boy’s legs, fictive motion of the boy’s legs backwards (from min. 00:06 of page 10, https://deafworldaroundyou.org/View?id=168).

In Figure 17 from Turkish SL (TİD), the signer embodies a boy who ducks down behind a couch to hide from his shadow. His hands are handling classifiers, representing gripping the top edge of the back of the couch. The signer crouches forward and lowers his head a little, showing the factive motion of the boy. At the same time, his hands raise, showing the fictive upward motion of the couch through a surrogate blend.

Figure 17: 
TİD: embodiment and fictive motion (from min. 0:32 https://www.youtube.com/watch?v=dyVhXCp_S1Q&list=PLz551fY8YMLgkqoQj4Gb88vpRUW7VIVzN&index=5).
Figure 17:

These examples suggest that a wide range of types of fictive motion is available in a typologically diverse range of sign languages.

5.3 Fictive motion in visual communication

The wide range of fictive motion that we see in sign languages is not accidental. Rather, it is common to visual communication. In comic strips, for example, the viewer is left to figure out that motion has occurred based on the change of location of a character from one frame to the next (e.g., Cohn 2013, 2016; Eisner 2008). If an animate character is to the left of a building in one frame and to the right in the next, given our world knowledge, we understand that the animate character has changed location, not that the building has moved or that the character and the building have both moved, switching locations. That is, we go through the inferential process of construing: we consider both new positions with respect to the other and then conclude that the animate character has factively moved. Construals about physical objects with respect to space are particularly stable, since humans perceive spatial configurations of objects more reliably than they do object representations (Mandler et al. 1977; Schulman 1973; Simons 1996). Further, time is conceived of spatially in visual narrative (McCloud 1993), such as sign language storytelling (Bauman et al. 2006; Sutton-Spence and Kaneko 2016; among many), which suggests that construals about spatio-temporal relationships should be stable in sign languages. And there is evidence that such heuristics also apply in gestures (e.g., Streeck 2008).

Working from the literature on comic strips and gestures, Napoli and Leeson (2020: 444) propose construals to handle a range of these types of phenomena in sign language narratives, where their Construal 4 is pertinent to fictive motion: “If a movable object changes position with respect to an immovable object, the movable object has moved.” Applying this construal to our data, we can see that the Figures have changed position with respect to immovable Ground objects (e.g., a windowsill, a corner, a chasm, or trees), thus we construe the new positions of Figure and Ground with respect to each other as factive movement of the Figure.

In other words, construals that have to do with what we know about reality are common to visual communication of various sorts, and these construals help us to understand fictive motion in sign languages. We conclude that sign language grammars have simply absorbed such construals.

6 General discussion and conclusion

In this work we have shown both that fictive motion of Ground objects is used in sign languages to convey factive motion of a Figure, and that the combined motion of Ground- and Figure-encoding hands conveys the factive motion of the Figure. We now look at consequences of this finding for the grammars of sign languages and for explanations of modality differences between sign and spoken languages in general.

First, the distinction between fictive and factive motion must be included in the grammars of sign languages. Sign languages exploit fictive motion to get us inside the perspective of a character – just as spoken languages do. But sign languages go further, using fictive motion to indicate distance/speed of a Figure when anatomical and/or phonological considerations would preclude or severely limit factive motion. In doing this, they make use of construals common to visual communication in general. And, in doing this, they can use multiple articulators in embodiment and/or CCs, where some show factive motion while others, fictive motion. Where CCs are employed, movement of the two hands must be interpreted as a conjunction of movements rather than as separate morphemes on each hand – the distance each articulator covers is combined to give a sense of greater speed or distance that the Figure has covered. We suggest that the movements in these instances are not independent of one another, but, instead, coordinated by some component of the grammar (or interface thereof) to allow for their interpretation as a single predicate.

Fictive motion is an example of figurative language and can reflect the way people conceptualize the world (Gibbs 1994, 2005; Lakoff 1987). This may explain why some consider it a possible linguistic universal (e.g., Blomberg and Zlatev 2014), though perhaps with language-specific constraints (Bohnemeyer 2010; Matsumoto 1996; Stosic and Sarda 2009) and with some types of fictive motion occurring more frequently within given languages (Capelli 2013; Stosic et al. 2015).

The use of fictive motion in spoken languages has been shown to cause mental simulation of motion (Matlock 2004) and adds to our ability to communicate emotional experience (Fussell and Moss 1998). However, this embodied-cognition/enactive-perception approach (Noë 2004) cannot be the sole motivation for all fictive motion in sign languages. We have seen examples for which purely anatomical and phonological motivations are at work. We conclude that the modality itself benefits from the use of fictive motion since its lack would complicate sign language phonology. That fictive motion can also enhance storytelling and perspective-taking is a lovely added benefit.

But there is surely more to say about modality here. Fictive motion happens in sign languages for at least three reasons. First, human anatomy limits the amount of distance and the degree of speed the manuals can convey through factive motion, thus fictive motion can come to the rescue. Second, sign language phonology, in considering articulation of the manuals (and other body parts) is limited by the drive for ease of articulation and general rules of communication (such as maintaining eye contact), thus fictive motion can come to the rescue (as with a windowsill moving downward to show the factive motion of a cat upwards). Third, fictive motion of the Ground can at times capture the sensations of a situation in a more dramatically satisfying way – a way truer to the point of view of the character we are empathizing with – than factive motion of the Figure (as with water creeping upwards as a fox wades into a river).

Thus, studying fictive motion in sign languages forces us to admit not only that anatomical factors can play a role in sign language grammars, but that they may be the natural explanation for facts about sign languages that distinguish them from spoken languages. We have seen this kind of explanation for characteristics specific to a given modality elsewhere: Wilbur (2000, 2003, 2010), for example, has argued extensively that layering (delivering information with multiple articulators simultaneously) in sign languages is the result of biomechanics and anatomy (and see early suggestions in Cutting 1980). Perhaps looking at anatomy will explain other characteristics of signing that either are different from speech or have no counterpart in speech. The study of fictive motion then enlightens us about sign language grammars and makes us consider the range of ways anatomy can play a role in grammar.


Corresponding author: Donna Jo Napoli, Swarthmore College, Swarthmore, PA, USA, E-mail:

Funding source: Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)

Award Identifier / Grant number: 502009339

  1. Research funding: This work was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) (502009339).

  2. Data availability: The data supporting the findings of this study are available from third-party providers detailed in Table 1. Additional supplementary material is available at OSF.io at https://osf.io/sh5tq/.

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Supplementary Material

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Received: 2024-01-12
Accepted: 2025-11-26
Published Online: 2025-12-29

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