A persuasive robotic agent to save energy: the influence of social feedback, feedback valence and task similarity on energy conservation behavior

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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 languageEnglish
Title of host publicationSocial Robotics - Second International Conference on Social Robotics, ICSR 2010, Proceedings
Pages335-344
Number of pages10
DOIs
Publication statusPublished - 15 Dec 2010
Event2nd International Conference on Social Robotics, ICSR 2010 - Singapore, Singapore
Duration: 23 Nov 201024 Nov 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6414 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Social Robotics, ICSR 2010
Country/TerritorySingapore
CitySingapore
Period23/11/1024/11/10

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Energy Conservation Behavior
  • Human-Robot Interaction
  • Persuasion
  • Social Feedback

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