喻园管理论坛2023年第61期(总第884期)
演讲主题: The Promise and Peril of Empathic Chatbots
主 讲 人: 张 晗，美国佐治亚理工学院教授
主 持 人: 赵 玲，管理学院管理科学与信息管理系教授
活动时间: 2023年6月26日（周一） 10:30-12:00
活动地点: 管理大楼119室
主讲人简介：
Dr. Han Zhang is a Full Professor of Information Technology Management (ITM) and Steven A. Denning Professor of Technology & Management at the Scheller College of Business, Georgia Institute of Technology (Georgia Tech). He received his Ph.D. in Information Systems from the University of Texas at Austin. Dr. Zhang currently serves as the Faculty Director of the Denning Technology & Management (T&M) Program. He was the ITM Area Coordinator from 2007 to 2012 and served as the Faculty Director of the Executive MBA Program from 2013 to 2016. His research focuses on online trust and reputation, user-generated content, online healthcare, and human-AI interaction. His research on the institutional setup to help small businesses grow in the digital economy has been used as the basis for testimony before the Congressional House Committee on Small Business. His research on AI chatbots has been featured in Wall Street Journal (March 20, 2023). He has published in MIS Quarterly, Information Systems Research, Journal of Marketing Research, Production and Operations Management, Journal of Management Information Systems, Journal of the Association for Information Systems, and other academic journals. Dr. Zhang currently serves as a senior editor for MIS Quarterly and Co-Editor-in-Chief for Information & Management.
活动简介：
The advance of artificial intelligence technologies has enabled chatbots to be emotionally responsive. Expressing empathy constitutes a critical component of emotional responsiveness often required for human service employees, but the impact of chatbot-expressed empathy is underexamined. In this research, we investigate the effect of service chatbots’ empathy expressions on customers’ service evaluations. Extending the social perception literature, we propose that an empathic chatbot may not always be perceived by customers to have greater warmth, and it can backfire under certain situations. Specifically, when a cue that undermines a chatbot’s competence (e.g., chatbot failure) is salient, chatbot-expressed empathy hurts service evaluations by decreasing the perceived competence of the chatbot, which spills over to the warmth perception. On the other hand, when such a cue does not exist, chatbot-expressed empathy enhances service evaluations by increasing the perceived warmth of the chatbot, which spills over to the competence perception. Results from three laboratory experiments provide evidence for these predictions. Our theoretical framework and findings illuminate the more nuanced role of empathy expressed by service chatbots, and they offer practical guidance for companies on when they can benefit from deploying empathic chatbots.
