Behaviors and Perceptions of Human-Chatbot Interactions Based on Top Active Users of a Commercial Social Chatbot

被引：0
|
作者：
Chin, Hyojin [1 ]
Zhunis, Assem [2 ]
Cha, Meeyoung [3 ]
机构：
[1] Gyeongsang National University (GNU), Jinjun, Korea, Republic of
[2] Korea Advanced Institute of Science & Technology (KAIST), Daejeon, Korea, Republic of
[3] Max Planck Institute for Security and Privacy (MPI-SP), Bochum, Germany
来源：
Proceedings of the ACM on Human-Computer Interaction | 2024年 / 8卷 / CSCW2期
基金：
新加坡国家研究基金会;
关键词：
Natural language processing is enabling machines to communicate with humans naturally, yet the dynamics of extended user-chatbot interactions remain much unexplored. This study characterizes the conversational styles, demographics, psychologies, and emotional tendencies of the most active users (i.e., top 1% by message count) of a commercial chatbot platform (SimSimi.com), whom we refer to as superusers. We analyzed the linguistic patterns and topics of 1,988,971 messages written by 1,994 superusers over a period of three years. We further surveyed 76 users to observe their emotional dispositions and perceptions towards the chatbot. We find that SimSimi superusers empathize and humanize the chatbot more than less active users, and they show a higher tendency to share personal and negative feelings. Our findings suggest that chatbots require new design considerations for users who are vulnerable due to their high anthropomorphism and openness toward machines. Our work also shows that chatbots should have functions to offer social support when necessary. © 2024 ACM;
D O I：
10.1145/3687022
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学科分类号：
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