Recently, the paper ‘Identity Disclosure and Anthropomorphism in Voice Chatbot Design: A Field Experiment’ published by Professor Hongyan Dai of Business School of the University and his overseas co-workers in the top international academic journal Management Science was The paper ‘Identity Disclosure and Anthropomorphism in Voice Chatbot Design: A Field Experiment’, published in the top international academic journal Management Science, was evaluated as an outstanding achievement of the National Natural Science Foundation of China (NSFC) funded project, which was regarded as a great progress in the field of human-computer interaction in China (https://www.nsfc.gov.cn/publish/portal0/tab448/info93824.htm).
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The Outstanding Achievements of NSF-funded Projects are the basic research results with significant innovation, leadership and application prospects selected among the achievements of NSF-funded projects. The Division of Management Sciences (DMS) keeps an eye on the Outstanding Achievements and promotes the dissemination of the Outstanding Achievements in the ‘Grant Achievements’ column. As of 15 November 2024, there are only 18 articles of excellent results evaluated by NSFC Management Science Department in the past year, among which there are 2 articles in the direction of human-computer interaction, which is a clear indication of the importance and pioneering nature of this research result.
Funded by the National Natural Science Foundation of China (Grant Nos. 72172169 and 91646325), this research explores the identity disclosure and anthropomorphism in the design of voice chatbots, and for the first time provides empirical evidence from large-scale field experiments to validate the identity disclosure and anthropomorphic features of voice chatbots in the interaction in the logistic environment, which provides an important opportunity for the application of intelligent service robots by enterprises to reduce costs and increase efficiency. to reduce costs and increase efficiency provides an important scientific basis and practical guidance.
Professor Hongyan Dai has conducted long-term and in-depth research in the fields of AI-driven optimal decision-making and human-robot interaction, and has achieved rich research results, published more than 40 articles, including MS, EJOR, Journal of Management Science, Journal of Management Engineering and other domestic and international flagship journals, and presided over a number of national scientific research projects, such as the Cultivation Project of Major Research Programs of the National Natural Science Foundation of China (NNSFC), and the Faceted Project of the National Natural Science Foundation of China (NNSFC), and so on. He has won the First Prize of Scientific and Technological Progress of China Federation of Logistics and Purchasing, the Second Prize of Management Science Practice Award of the Annual Conference of Chinese Scholars in Management Science and Engineering, the Third Prize of Scientific and Technological Progress of Zhejiang Province, as well as the First Prize of Outstanding Paper Award of several domestic and international conferences. Currently, he is the executive director and special researcher of the Chinese Society of Logistics, the director of the Behavioural Operations Branch of the Chinese Operations Research Society, and a member of the Artificial Intelligence Technology and Management Branch of the Management Science and Engineering Society.
