Exploring the Drivers and Outcomes of Generative AI Usage: The Role of Metacognition.
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| Title: | Exploring the Drivers and Outcomes of Generative AI Usage: The Role of Metacognition. |
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| Authors: | Lee, Yunhee (AUTHOR), Ahn, Hyunchul (AUTHOR), Jo, Hyeon (AUTHOR) |
| Source: | International Journal of Human-Computer Interaction. Feb2026, Vol. 42 Issue 4, p2098-2120. 23p. |
| Subjects: | Generative artificial intelligence, Metacognition, Employee training personnel, Structural equation modeling, Self-efficacy, Information technology |
| Abstract: | As generative artificial intelligence (GAI) tools become increasingly prevalent across various sectors, understanding the factors that influence their usage and performance is essential. This study examines the effects of GAI-task fitness, task knowledge, and self-efficacy on GAI usage and generativity performance, while also exploring the moderating role of metacognition. Data from 245 GAI users were analyzed using structural equation modeling (SEM). The results indicate that GAI-task fitness, task knowledge, and self-efficacy significantly enhance GAI usage, which, in turn, positively influences generativity performance. However, metacognition significantly moderated only the relationship between GAI self-efficacy and usage, showing no notable effects on other pathways. These findings suggest that organizations and educators should prioritize improving task alignment, user knowledge, and self-efficacy to promote the adoption and effective use of GAI tools. Additionally, training that fosters metacognitive skills may help users engage more strategically with GAI, leading to better creative and productive outcomes. [ABSTRACT FROM AUTHOR] |
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| Database: | Psychology and Behavioral Sciences Collection |
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