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Japanese Young Women Did not Discriminate between Robots and Humans as Listeners for Their Self-Disclosure -Pilot Study-

1
Graduate School of Engineering Science, Osaka University, Osaka 560-853, Japan
2
Advanced Telecommunications Research Institute International (ATR), Kyoto 619-0288, Japan
*
Author to whom correspondence should be addressed.
Multimodal Technologies Interact. 2020, 4(3), 35; https://doi.org/10.3390/mti4030035
Received: 15 May 2020 / Revised: 5 June 2020 / Accepted: 24 June 2020 / Published: 30 June 2020
Disclosing personal matters to other individuals often contributes to the maintenance of our mental health and social bonding. However, in face-to-face situations, it can be difficult to prompt others to self-disclose because people often feel embarrassed disclosing personal matters to others. Although artificial agents without strong social pressure for listeners to induce self-disclosure is a promising engineering method that can be applied in daily stress management and reduce depression, gender difference is known to make a drastic difference of the attitude toward robots. We hypothesized that, as compared to men, women tend to prefer robots as a listener for their self-disclosure. The experimental results that are based on questionnaires and the actual self-disclosure behavior indicate that men preferred to self-disclose to the human listener, while women did not discriminate between robots and humans as listeners for their self-disclosure in the willingness and the amount of self-disclosure. This also suggests that the gender difference needs to be considered when robots are used as a self-disclosure listener. View Full-Text
Keywords: self-disclosure; gender difference; conversational robot self-disclosure; gender difference; conversational robot
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Uchida, T.; Takahashi, H.; Ban, M.; Shimaya, J.; Minato, T.; Ogawa, K.; Yoshikawa, Y.; Ishiguro, H. Japanese Young Women Did not Discriminate between Robots and Humans as Listeners for Their Self-Disclosure -Pilot Study-. Multimodal Technologies Interact. 2020, 4, 35.

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