This study examined how human-robot interaction is influenced by individual differences in theory of mind ability. Participants engaged in a hallway navigation task with a robot over a number of trials. The display on the robot and its proxemics behavior was manipulated, and participants made mental state attributions across trials. Participant ability in theory of mind was also assessed. Results show that proxemics behavior and robotic display characteristics differentially influence the degree to which individuals perceive the robot when making mental state attributions about self or other. Additionally, theory of mind ability interacted with proxemics and display characteristics. The findings illustrate the importance of understanding individual differences in higher level cognition. As robots become more social, the need to understand social cognitive processes in human-robot interactions increases. Results are discussed in the context of how individual differences and social signals theory inform research in human-robot interaction.
This study seeks to understand online product review perception based on ratings, valence, and need for cognition. Review perception, review recollection, and intent to purchase after reading the reviews were being measured. Results showed that need for cognition had an effect on accuracy of review recognition and perceived review valence. Need for cognition and congruency (between rating of the review and valence of the review), as well as actual valence had an effect on perceived valence. Need for cognition, actual review valence, and review congruency all had an effect on purchase intention.
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