Citizen preferences and government chatbot social characteristics: Evidence from a discrete choice experiment |
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| Institution: | 1. School of Public Administration, Huazhong University of Science and Technology, Wuhan, China;2. School of Public Policy and Management, Tsinghua University, Beijing, China;3. School of Management, Harbin Institute of Technology, Harbin, China;4. Warwick Business School, University of Warwick, Coventry, UK;1. Department of Analytics in the Digital Era, College of Business and Economics, United Arab Emirates University, Al Ain 15551, United Arab Emirates;2. Department of Business Analytics Technology, Business School, Al-Ahliyya Amman University, Jordan;3. Department of Management Information Systems, Business School, The University of Jordan, Jordan;4. Department of Electronic Business and Commerce, Business School, Al-Ahliyya Amman University, Amman 19328, Jordan;5. Department of Management Information Systems, Amman College for Financial and Managerial Science, Al-Balqa’ Applied University, P.O. Box 206, Al-Salt 19117, Jordan;1. University of Antwerp, Faculty of Social Sciences, Department of Political Science, GOVTRUST Centre of Excellence, Sint-Jacobstraat 2, 2000 Antwerpen, Belgium;2. KU Leuven, Faculty of Social Sciences, Public Governance Institute, Parkstraat 45 - box 3609, 3000 Leuven, Belgium;1. Department of Government, Cornell University, 313 White Hall, Ithaca NY 14853, United States |
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| Abstract: | Government chatbots have become increasingly popular as artificial-intelligence-based tools to improve communication between the government and its citizens. This study explores the interaction mode design of a trustworthy government chatbot, which involves multiple social characteristics from the user-centric perspective. A discrete choice experiment was conducted in the context of Chinese government chatbots to examine the effects of various social characteristics on citizen preferences. Participants utilized a crowdsourcing survey platform to report their preferences for interaction processes designed with distinct sets of social characteristics. Valid data were obtained from 371 participants and analyzed using a multinomial logit model. The results indicate that (in order from highest to lowest impact) emotional intelligence, proactivity, identity consistency, and conscientiousness significantly influence the citizens' preferences. Identity consistency has a negative effect, whereas the other factors all have positive impacts. It was also determined that some of these correlations are influenced by the participants' individual characteristics, such as age, gender, and prior experience with chatbots. This work provides empirical evidence for the relative importance of social characteristics and their impacts on user perception, expands the service dimension scope of information provision/communication (one of five categories of digital interaction), and facilitates the identification and operationalization of the social characteristics. We provide a theoretical framework to understand the interaction model design of a trustworthy government chatbot and also offer practical recommendations for government chatbot designers and policy implications. |
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