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

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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.
Keywords
ChatGPT, Application scenarios, Information quality, Attitude, Perceived, risk, Policy support, PERCEIVED RISK

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MLA
Yan, Wenjia, et al. “Does Usage Scenario Matter? Investigating User Perceptions, Attitude and Support for Policies towards ChatGPT.” INFORMATION PROCESSING & MANAGEMENT, vol. 61, no. 6, 2024, doi:10.1016/j.ipm.2024.103867.
APA
Yan, W., Hu, B., Liu, Y., Li, C., & Song, C. (2024). Does usage scenario matter? Investigating user perceptions, attitude and support for policies towards ChatGPT. INFORMATION PROCESSING & MANAGEMENT, 61(6). https://doi.org/10.1016/j.ipm.2024.103867
Chicago author-date
Yan, Wenjia, Bo Hu, Yu-li Liu, Changyan Li, and Chuling Song. 2024. “Does Usage Scenario Matter? Investigating User Perceptions, Attitude and Support for Policies towards ChatGPT.” INFORMATION PROCESSING & MANAGEMENT 61 (6). https://doi.org/10.1016/j.ipm.2024.103867.
Chicago author-date (all authors)
Yan, Wenjia, Bo Hu, Yu-li Liu, Changyan Li, and Chuling Song. 2024. “Does Usage Scenario Matter? Investigating User Perceptions, Attitude and Support for Policies towards ChatGPT.” INFORMATION PROCESSING & MANAGEMENT 61 (6). doi:10.1016/j.ipm.2024.103867.
Vancouver
1.
Yan W, Hu B, Liu Y, Li C, Song C. Does usage scenario matter? Investigating user perceptions, attitude and support for policies towards ChatGPT. INFORMATION PROCESSING & MANAGEMENT. 2024;61(6).
IEEE
[1]
W. Yan, B. Hu, Y. Liu, C. Li, and C. Song, “Does usage scenario matter? Investigating user perceptions, attitude and support for policies towards ChatGPT,” INFORMATION PROCESSING & MANAGEMENT, vol. 61, no. 6, 2024.
@article{01J941GWTZ0ES8DNBVX8KFPXGW,
  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.}},
  articleno    = {{103867}},
  author       = {{Yan, Wenjia and Hu, Bo and Liu, Yu-li and Li, Changyan and Song, Chuling}},
  issn         = {{0306-4573}},
  journal      = {{INFORMATION PROCESSING & MANAGEMENT}},
  keywords     = {{ChatGPT,Application scenarios,Information quality,Attitude,Perceived,risk,Policy support,PERCEIVED RISK}},
  language     = {{eng}},
  number       = {{6}},
  pages        = {{19}},
  title        = {{Does usage scenario matter? Investigating user perceptions, attitude and support for policies towards ChatGPT}},
  url          = {{http://doi.org/10.1016/j.ipm.2024.103867}},
  volume       = {{61}},
  year         = {{2024}},
}

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