John Benjamins Publishing Company
Accessing robot acceptance by motor interference
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, and
Abstract
A possibly objective method for evaluation of the acceptance of humanoid robots in joint interaction with humans is based on the phenomenon of motor interference (MI) which claims that face-to-face or video observation of a different (incongruent) movement of another individual leads to a higher variance in one’s own movement trajectory. MI is supposed to be a consequence of the tendency to imitate our partner’s movements (motor resonance) during social interaction (e.g. contagious yawning). Since motor resonance correlates with the feeling of sympathy, togetherness and mutual rapport and also leads to an easier understanding of emotions and intentions of others, measuring MI can be used as an indicator of the quality of the human-robot interaction. In this review, we explain the neural basis of MI and show which features of robots trigger its emergence and thus should be taken into consideration during the development of robots for human-robot interaction scenarios.
Abstract
A possibly objective method for evaluation of the acceptance of humanoid robots in joint interaction with humans is based on the phenomenon of motor interference (MI) which claims that face-to-face or video observation of a different (incongruent) movement of another individual leads to a higher variance in one’s own movement trajectory. MI is supposed to be a consequence of the tendency to imitate our partner’s movements (motor resonance) during social interaction (e.g. contagious yawning). Since motor resonance correlates with the feeling of sympathy, togetherness and mutual rapport and also leads to an easier understanding of emotions and intentions of others, measuring MI can be used as an indicator of the quality of the human-robot interaction. In this review, we explain the neural basis of MI and show which features of robots trigger its emergence and thus should be taken into consideration during the development of robots for human-robot interaction scenarios.
Chapters in this book
- Prelim pages i
- Table of contents v
- Introduction 1
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The human in the loop
- Helping robots imitate 9
- The role of expectations and situations in human-robot interaction 35
- Validating characterizations of sociality in HRI 57
- Attitudes toward robots and factors influencing them 73
- The USUS evaluation framework for user-centered HRI 89
- Toward making robots invisible-in-use 111
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Joint action, collaboration and communication
- A dynamic field approach to goal inference, error detection and anticipatory action selection in human-robot collaboration 135
- Accessing robot acceptance by motor interference 165
- Evaluation of robot body movements supporting communication 185
- The acquisition of word semantics by a humanoid robot via interaction with a human tutor 211
- Communication robots 235
- Designing domestic robots with personality 257
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Robots in therapy, safety and communication
- Touch-triggered withdrawal reflexes for safer robots 281
- Rehabilitation robots 305
- Notes 327
- Index 329
Chapters in this book
- Prelim pages i
- Table of contents v
- Introduction 1
-
The human in the loop
- Helping robots imitate 9
- The role of expectations and situations in human-robot interaction 35
- Validating characterizations of sociality in HRI 57
- Attitudes toward robots and factors influencing them 73
- The USUS evaluation framework for user-centered HRI 89
- Toward making robots invisible-in-use 111
-
Joint action, collaboration and communication
- A dynamic field approach to goal inference, error detection and anticipatory action selection in human-robot collaboration 135
- Accessing robot acceptance by motor interference 165
- Evaluation of robot body movements supporting communication 185
- The acquisition of word semantics by a humanoid robot via interaction with a human tutor 211
- Communication robots 235
- Designing domestic robots with personality 257
-
Robots in therapy, safety and communication
- Touch-triggered withdrawal reflexes for safer robots 281
- Rehabilitation robots 305
- Notes 327
- Index 329