Wenjia Yan , Bo Hu , Yu-li Liu , Changyan Li , Chuling Song
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Does usage scenario matter? Investigating user perceptions, attitude and support for policies towards ChatGPT
ChatGPT's impressive performance enables users to increasingly apply it to a variety of scenarios. However, previous studies investigating people's perceptions or attitudes towards ChatGPT have not considered the effects of the usage scenario. This paper aims to extract the representative scenarios of ChatGPT, explore differences in user perceptions for each scenario, and provide a policy support model. We extracted five scenarios by collecting 50 open-ended responses from Mturk, including “Scenario 1: Daily life tasks,” “Scenario 2: Enhance efficiency (work and education purposes),” “Scenario 3: Replace manpower (work and education purposes),” “Scenario 4: Browsing and general information seeking,” “Scenario 5: Enjoyment.” Subsequently, we identified four key variables to be tested (i.e., information quality, perceived risk, attitude, and policy support), and classified usage scenarios into different categories according to the perception variables measured via an online survey (n = 514). Finally, we built a model including the four variables and tested it for each scenario. The results of this study provide deep insights into user perceptions towards ChatGPT in distinct scenarios.
期刊介绍:
Information Processing and Management is dedicated to publishing cutting-edge original research at the convergence of computing and information science. Our scope encompasses theory, methods, and applications across various domains, including advertising, business, health, information science, information technology marketing, and social computing.
We aim to cater to the interests of both primary researchers and practitioners by offering an effective platform for the timely dissemination of advanced and topical issues in this interdisciplinary field. The journal places particular emphasis on original research articles, research survey articles, research method articles, and articles addressing critical applications of research. Join us in advancing knowledge and innovation at the intersection of computing and information science.