Does usage scenario matter? Investigating user perceptions, attitude and support for policies towards ChatGPT

IF 7.4 1区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Information Processing & Management Pub Date : 2024-08-31 DOI:10.1016/j.ipm.2024.103867

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Abstract

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.

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使用场景重要吗？调查用户对 ChatGPT 的看法、态度和支持政策

ChatGPT 令人印象深刻的性能使用户越来越多地将其应用于各种场景。然而，以往调查人们对 ChatGPT 的看法或态度的研究并未考虑使用场景的影响。本文旨在提取 ChatGPT 的代表性应用场景，探索每个场景下用户感知的差异，并提供一个政策支持模型。我们从 Mturk 收集了 50 个开放式回答，提取了五个场景，包括 "场景 1：日常生活任务"、"场景 2：提高效率（工作和教育目的）"、"场景 3：替代人力（工作和教育目的）"、"场景 4：浏览和一般信息搜索"、"场景 5：享受"。随后，我们确定了四个需要测试的关键变量（即信息质量、感知风险、态度和政策支持），并根据在线调查（n = 514）测得的感知变量将使用情景划分为不同类别。最后，我们建立了一个包含四个变量的模型，并对每个场景进行了测试。本研究的结果深入揭示了不同场景下用户对 ChatGPT 的看法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Information Processing & Management 工程技术-计算机：信息系统

CiteScore

17.00

自引率

11.60%

发文量

276

审稿时长

39 days

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.