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Does Self-Disclosing to a Robot Induce Liking for the Robot? Testing the Disclosure and Liking Hypotheses in Human–Robot Interaction

Yi Mou, Lin Zhang, Yuheng Wu, Shuyi Pan, Xiaoyu Ye

Year
2023
Citations
25

Abstract

When someone intimately discloses themselves to a robot, does that make them like the robot more? Does a robot’s reciprocal disclosure contribute to a human’s liking of the robot? To explore whether these disclosure-liking effects in human–human interaction also apply to human–robot interaction, we conducted a between-subjects lab experiment to examine how self-disclosure intimacy (intimate vs. non-intimate) and reciprocal self-disclosure (yes vs. no) from the robot influence participants’ social perceptions (i.e., likability, trustworthiness, and social attraction) toward the robot. None of the disclosure-liking effects were confirmed by the results. In contrast, reciprocal self-disclosure from the robot increased liking in intimate self-disclosure but decreased liking in non-intimate self-disclosure, indicating a crossover interaction effect on likability. A post-hoc analysis was conducted to further understand these patterns. Implications in terms of the computers are social actors (CASA) paradigm were discussed.

Keywords

RobotPsychologyHuman–robot interactionHuman–computer interactionSocial psychologySelf-disclosureCognitive psychologyComputer scienceArtificial intelligence

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