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

ACM International Conference Proceeding Series

Volumn 350, Issue , 2009, Pages

  Midden, Cees ^a   Ham, Jaap ^a  

^a EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Energy conservation behavior; Human robot interaction; Persuasion; Social feedback

Indexed keywords

BEHAVIORAL CHANGES; CONSERVATION ACTIONS; CONSERVE ENERGY; EMBODIED AGENT; HUMAN-ROBOT INTERACTION; NEGATIVE FEEDBACK; PERSUASION; POSITIVE FEEDBACK; ROBOTIC AGENTS; SAVE ENERGY; SOCIAL FEEDBACK;

ENERGY CONSERVATION; EXPERIMENTS; HUMAN COMPUTER INTERACTION; MAN MACHINE SYSTEMS; ROBOTICS; ROBOTS; WASHERS; WASHING;

FEEDBACK;

EID: 70049115416     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1541948.1541966     Document Type: Conference Paper

References (13)

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.
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.
3. Bandura, A. 1989. Human agency in social cognitive theory. American Psychologist, 44, 1175-1184.
4. Baumeister, R. F., Bratlavsky, E., Finkenauer, C., & Vohs, K. D. (2001). Bad is stronger than good. Review of General Psychology, 5, 323-370.
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.
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.
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.
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.
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.
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.
11. Rozin, P., & Royzman, E. (2001). Negativity bias, negativity dominance, and contagion. Personality and Social Psychology Review, 5, 296-320.
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.
13. Wright, D. (1968) Social Reinforcement and Maze Learning in Children. Child Development, 39, 1,177-183.