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Using negative and positive social feedback from a robotic agent to save energy

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Published:26 April 2009Publication History

ABSTRACT

In this paper we explore the persuasive effects of social feedback, as provided by an embodied agent, on behavioral change. In a lab setting, two experiments were conducted in which participants had the opportunity to conserve energy while carrying out washing tasks with a simulated washing machine. The experiments tested the effect of positive and negative social feedback and compared these effects to more widely used factual feedback. Results of both 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. The predicted perceived agency effect could not be demonstrated. These findings have several implications for theory and design of persuasive robotic agents.

References

  1. Abrahamse, W., Steg, L., Vlek, C., & Rothengatter, T. (2005). A review of intervention studies aimed at household energy conservation. Journal of Environmental Psychology, 25, 273--291.Google ScholarGoogle ScholarCross RefCross Ref
  2. Bandura, A. & McDonald, F. J. (1963). Influence of social reinforcement and the behavior of models in shaping children's moral judgments. Journal of Abnormal Psychology, 67, 274--281.Google ScholarGoogle ScholarCross RefCross Ref
  3. Bandura, A. 1989. Human agency in social cognitive theory. American Psychologist, 44, 1175--1184.Google ScholarGoogle ScholarCross RefCross Ref
  4. Baumeister, R. F., Bratlavsky, E., Finkenauer, C., & Vohs, K. D. (2001). Bad is stronger than good. Review of General Psychology, 5, 323--370.Google ScholarGoogle ScholarCross RefCross Ref
  5. Bracken, C. C., Jeffres, L. W., & Neuendorf, K. A. (2004). Criticism or praise: The impact of verbal versus text-only computer feedback on social presence, intrinsic motivation, and recall. CyberPsychology and Behavior, 7, 349--357.Google ScholarGoogle ScholarCross RefCross Ref
  6. Fogg, B. J. & Nass, C. I. (1997). Silicon sycophants: the effects of computers that flatter. International Journal of Human Computer Studies, 46, 551--561. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. McCalley, L. T., & Midden, C. J. H. (2002). Energy conservation through product-integrated feedback: The roles of goal-setting and social orientation. Journal of Economic Psychology, 23, 589--603.Google ScholarGoogle ScholarCross RefCross Ref
  8. McCalley, L. T. (2006). From motivation and cognition theories to everyday applications and back again: The case of product-integrated information and feedback. Energy Policy, 34, 129--137.Google ScholarGoogle ScholarCross RefCross Ref
  9. Midden, C. J. H., Kaiser, F. G., & Mccalley, L. T. (2007). Technology's four roles in understanding individuals' conservation of natural resources. Journal of Social Issues, 63, 1, 155--174.Google ScholarGoogle ScholarCross RefCross Ref
  10. Reeves, B., & Nass, C. I. (1996). The media equation: How people treat computers, television, and new media as real people and places. Cambridge, England: Cambridge University Press/CSLI. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Rozin, P., & Royzman, E. (2001). Negativity bias, negativity dominance, and contagion. Personality and Social Psychology Review, 5, 296--320.Google ScholarGoogle ScholarCross RefCross Ref
  12. Slovic, P., Finucane, M. L., Peters, E., & MacGregor, D. G. (2004). Risk as analysis and risk as feelings: Some thoughts about affect, reason, risk, and rationality. Risk Analysis, 24, 311--322.Google ScholarGoogle ScholarCross RefCross Ref
  13. Wright, D. (1968) Social Reinforcement and Maze Learning in Children. Child Development, 39, 1,177--183.Google ScholarGoogle ScholarCross RefCross Ref

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        cover image ACM Other conferences
        Persuasive '09: Proceedings of the 4th International Conference on Persuasive Technology
        April 2009
        279 pages
        ISBN:9781605583761
        DOI:10.1145/1541948

        Copyright © 2009 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 26 April 2009

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        Persuasive '09 Paper Acceptance Rate21of66submissions,32%Overall Acceptance Rate32of137submissions,23%

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