User Factors and Trust in ChatGPT: Investigating the Relationship between Demographic Variables, Experience with AI Systems, and Trust in ChatGPT
This study explores the relationship between various user factors and the level of trust in ChatGPT, a sophisticated language model exhibiting human-like capabilities. Specifically, we considered demographic characteristics such as age, education, gender, and major, along with factors related to pre...
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| Published in | (사)디지털산업정보학회 논문지, 19(4) pp. 53 - 71 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
(사)디지털산업정보학회
01.12.2023
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1738-6667 2713-9018 |
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| Summary: | This study explores the relationship between various user factors and the level of trust in ChatGPT, a sophisticated language model exhibiting human-like capabilities. Specifically, we considered demographic characteristics such as age, education, gender, and major, along with factors related to previous AI experience, including duration, frequency, proficiency, perception, and familiarity. Through a survey of 140 participants, comprising 71 females and 69 males, we collected and analyzed the data to see how these user factors have a relationship with trust in ChatGPT. Both descriptive and inferential statistical methods, encompassing multiple linear regression models, were employed in our analysis. Our findings reveal significant relationships between user factors such as gender, the perception of prior AI interactions, self-evaluated proficiency, and Trust in ChatGPT. This research not only enhances our understanding of trust in artificial intelligence but also offers valuable insights for AI developers and practitioners in the field. KCI Citation Count: 0 |
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| ISSN: | 1738-6667 2713-9018 |