Abstract
In this paper we explore the persuasive effects of social feedback provided by a robotic agent, on behavioral change. In lab experiments, participants had the opportunity to conserve energy while carrying out washing tasks with a simulated washing machine. Three experiments tested the effect of positive and negative social feedback and compared these effects to more widely used factual feedback. Results of these studies indicate that social feedback has stronger persuasive effects than factual feedback (Experiment 1) and factual-evaluative feedback (Experiment 2). In addition, an effect of feedback valence was found, demonstrating more conservation actions following negative feedback (social or factual) as compared to positive feedback. Interestingly, especially negative social feedback had the strongest persuasive effects (Experiment 1, 2, & 3), and task similarity enhanced the effects of negative feedback (Experiment 3). These findings have several implications for theory and design of persuasive robotic agents.
| Original language | English |
|---|---|
| Title of host publication | Social Robotics - Second International Conference on Social Robotics, ICSR 2010, Proceedings |
| Pages | 335-344 |
| Number of pages | 10 |
| DOIs | |
| Publication status | Published - 15 Dec 2010 |
| Event | 2nd International Conference on Social Robotics, ICSR 2010 - Singapore, Singapore Duration: 23 Nov 2010 → 24 Nov 2010 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 6414 LNAI |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 2nd International Conference on Social Robotics, ICSR 2010 |
|---|---|
| Country/Territory | Singapore |
| City | Singapore |
| Period | 23/11/10 → 24/11/10 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Energy Conservation Behavior
- Human-Robot Interaction
- Persuasion
- Social Feedback
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