In this paper we analyze the role of negative feedback as provided by artificial agents. We examine the hypothesis that negative feedback offers substantial potential to enhance persuasive interventions aimed to change behavior. This hypothesis is tested based on a review of several studies using the same experimental paradigm that includes a virtual washing machine, in which users have to make choices how to program the washing machine. The studies show how the provision of positive and negative feedback influences these choices under various experimental conditions. Results show that negative feedback can be more effective than positive feedback, also independent of the presence of positive feedback. Negative feedback is in particular effective when the feedback is social instead of factual. Furthermore, the analysis suggests that the effect of negative feedback is enhanced under conditions of task similarity, which stimulate using the feedback for performance improvement. Finally, we show that negative feedback is superior to positive feedback under multiple goals conditions. © 2014 Springer International Publishing Switzerland.
CITATION STYLE
Midden, C., & Ham, J. (2014). The power of negative feedback from an artificial agent to promote energy saving behavior. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8520 LNCS, pp. 328–338). Springer Verlag. https://doi.org/10.1007/978-3-319-07638-6_32
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