9 Personalized persuasion for behavior change
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Judith Masthoff
Abstract
Persuasive technology refers to technology designed to influence or change people’s attitudes or behaviors. This chapter provides an overview of personalized persuasive technology interventions that aim to support and motivate people to initiate, maintain, engage in, or discontinue specific behaviors. It presents some of the key theories that inform the design of persuasive technology interventions. Additionally, it outlines four models of behavior change used in persuasive technology design, developed by Cialdini, Fogg, Oinas-Kukkonen and Harummaa, and Michie, that involve persuasive techniques such as goal-setting, feedback and emotional support, rewards, (self-) monitoring, social comparison, and persuasive messages. Personalization is critical for effective persuasive technology. The chapter discusses the adaptation of (1) the choice of behavior change techniques, and (2) the instantiation of commonly used behavior change techniques. It also discusses application domains in which personalized persuasive technology has been used, such as healthy living, sustainability and user participation and engagement. Evaluating the effectiveness of personalized persuasive technology is not easy, and the chapter provides an overview of the main issues to consider: perceived versus actual persuasiveness, layered evaluation, direct versus indirect studies, short-term versus longitudinal studies, domain effects and metrics and scales. Finally, the paper highlights the ethical considerations in designing and deploying personalized persuasive technology. Overall, this chapter provides a comprehensive overview of the field of persuasive technology, emphasizing the importance of personalization in designing effective interventions for behavior change. It discusses different theories, techniques and approaches to personalization and provide an overview of different application domains and evaluation methods. By highlighting the ethical considerations of designing and deploying persuasive technology interventions, the chapter underscores the importance of responsible design and emphasizes the potential of persuasive technology to bring about positive change in people’s lives.
Abstract
Persuasive technology refers to technology designed to influence or change people’s attitudes or behaviors. This chapter provides an overview of personalized persuasive technology interventions that aim to support and motivate people to initiate, maintain, engage in, or discontinue specific behaviors. It presents some of the key theories that inform the design of persuasive technology interventions. Additionally, it outlines four models of behavior change used in persuasive technology design, developed by Cialdini, Fogg, Oinas-Kukkonen and Harummaa, and Michie, that involve persuasive techniques such as goal-setting, feedback and emotional support, rewards, (self-) monitoring, social comparison, and persuasive messages. Personalization is critical for effective persuasive technology. The chapter discusses the adaptation of (1) the choice of behavior change techniques, and (2) the instantiation of commonly used behavior change techniques. It also discusses application domains in which personalized persuasive technology has been used, such as healthy living, sustainability and user participation and engagement. Evaluating the effectiveness of personalized persuasive technology is not easy, and the chapter provides an overview of the main issues to consider: perceived versus actual persuasiveness, layered evaluation, direct versus indirect studies, short-term versus longitudinal studies, domain effects and metrics and scales. Finally, the paper highlights the ethical considerations in designing and deploying personalized persuasive technology. Overall, this chapter provides a comprehensive overview of the field of persuasive technology, emphasizing the importance of personalization in designing effective interventions for behavior change. It discusses different theories, techniques and approaches to personalization and provide an overview of different application domains and evaluation methods. By highlighting the ethical considerations of designing and deploying persuasive technology interventions, the chapter underscores the importance of responsible design and emphasizes the potential of persuasive technology to bring about positive change in people’s lives.
Chapters in this book
- Frontmatter I
- Introduction V
- Contents IX
- List of Contributing Authors XI
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Part I: Foundations of personalization
- 1 Theory-grounded user modeling for personalized HCI 1
- 2 User-centered recommender systems 33
- 3 Fairness of information access systems 59
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Part II: User input and feedback
- 4 Personalization and user modeling for interaction processes 81
- 5 How to use socio-emotional signals for adaptive training 99
- 6 Explanations and user control in recommender systems 129
- 7 Feedback loops and mutual reinforcement in personalized interaction 153
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Part III: Personalization purposes and goals
- 8 Personalizing the user interface for people with disabilities 175
- 9 Personalized persuasion for behavior change 205
- 10 Personalization approaches for remote collaborative interaction 237
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Part IV: Personalization domains
- 11 Listener awareness in music recommender systems: directions and current trends 279
- 12 Tourist trip recommendations – foundations, state of the art and challenges 313
- 13 Pictures as a tool for matching tourist preferences with destinations 337
- Index 355
Chapters in this book
- Frontmatter I
- Introduction V
- Contents IX
- List of Contributing Authors XI
-
Part I: Foundations of personalization
- 1 Theory-grounded user modeling for personalized HCI 1
- 2 User-centered recommender systems 33
- 3 Fairness of information access systems 59
-
Part II: User input and feedback
- 4 Personalization and user modeling for interaction processes 81
- 5 How to use socio-emotional signals for adaptive training 99
- 6 Explanations and user control in recommender systems 129
- 7 Feedback loops and mutual reinforcement in personalized interaction 153
-
Part III: Personalization purposes and goals
- 8 Personalizing the user interface for people with disabilities 175
- 9 Personalized persuasion for behavior change 205
- 10 Personalization approaches for remote collaborative interaction 237
-
Part IV: Personalization domains
- 11 Listener awareness in music recommender systems: directions and current trends 279
- 12 Tourist trip recommendations – foundations, state of the art and challenges 313
- 13 Pictures as a tool for matching tourist preferences with destinations 337
- Index 355
