"I Hear You, I Feel You": Encouraging Deep Self-disclosure through a Chatbot

被引:103
|
作者
Lee, Yi-Chieh [1 ,2 ]
Yamashita, Naomi [2 ]
Huang, Yun [1 ]
Fu, Wai [1 ]
机构
[1] Univ Illinois, Champaign, IL 61820 USA
[2] Nippon Telegraph & Tel Corp, Tokyo, Japan
基金
日本学术振兴会;
关键词
Conversation; Chatbot; Self-disclosure; Mental well-being; RECIPROCITY; CLOSENESS; STIGMA; ONLINE;
D O I
10.1145/3313831.3376175
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Chatbots have great potential to serve as a low-cost, effective tool to support people's self-disclosure. Prior work has shown that reciprocity occurs in human-machine dialog; however, whether reciprocity can be leveraged to promote and sustain deep self-disclosure over time has not been systematically studied. In this work, we design, implement and evaluate a chatbot that has self-disclosure features when it performs small talk with people. We ran a study with 47 participants and divided them into three groups to use different chatting styles of the chatbot for three weeks. We found that chatbot self-disclosure had a reciprocal effect on promoting deeper participant self-disclosure that lasted over the study period, in which the other chat styles without self-disclosure features failed to deliver. Chatbot self-disclosure also had a positive effect on improving participants' perceived intimacy and enjoyment over the study period. Finally, we reflect on the design implications of chatbots where deep self-disclosure is needed over time.
引用
收藏
页数:12
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