The media equation: how people treat computers, television, and new media like real people and places
The truth about lying in online dating profiles
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Media Equation Revisited: Do Users Show Polite Reactions towards an Embodied Agent?
IVA '09 Proceedings of the 9th International Conference on Intelligent Virtual Agents
MAINTAINING ENGAGEMENT IN LONG-TERM INTERVENTIONS WITH RELATIONAL AGENTS
Applied Artificial Intelligence - Intelligent Virtual Agents
Personalization in HRI: a longitudinal field experiment
HRI '12 Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction
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Research on social responses to computers often assesses only first-impression reactions during a single experimental session, providing limited knowledge about the lasting effect of the results. In this work, we assess the lasting strength of social desirability bias effects on an interface designed to track exercise, manipulated to have high or low personalization (text vs. anthropomorphic conversational character). After 40 days of daily interactions by 25 participants, we found that self-reported exercise was more accurate when reported to the character vs. text. We also find that, for both conditions, participants' decision to initiate a session is greater when they have done more exercise. Moreover, we show that this effect significantly increases over time for participants in the character condition, and decreases for participants in the text condition. This study demonstrates that Media Equation effects can grow stronger or weaker over time, depending upon the presentation of the interface.