Location
Hilton Hawaiian Village, Honolulu, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2024 12:00 AM
End Date
6-1-2024 12:00 AM
Description
Generative artificial intelligence (GAI) has the potential to fundamentally disrupt how content is produced and will become increasingly integrated into organizational and individual task-performing and decision-making. This study aims to investigate how individuals perceive and process AI-generated content. Specifically, we propose that perceived credibility and creativity are critical antecedents of user satisfaction via cognitive fit and examine the boundary conditions. In an online scenario experiment with a sample size of 548 participants, we tested our hypotheses. The result shows that perceived credibility and creativity positively impact cognitive fit, which in turn affects user satisfaction with the outcome and process. Furthermore, regarding the boundary conditions, the results indicate a good match between the information values (i.e., credibility and creativity) and task types (i.e., routine vs. creative task) leads to cognitive fit, and users perceive different levels of satisfaction when they have different task motivations (i.e., hedonic vs. utilitarian task). Finally, we discuss theoretical contributions and practical implications.
Recommended Citation
Yang, Bo; Sun, Yongqiang; and Li, Qinwei, "To Be Credible or to Be Creative? Understanding the Antecedents of User Satisfaction with AI-Generated Content from a Cognitive Fit Perspective" (2024). Hawaii International Conference on System Sciences 2024 (HICSS-57). 5.
https://aisel.aisnet.org/hicss-57/cl/machines_as_teammates/5
To Be Credible or to Be Creative? Understanding the Antecedents of User Satisfaction with AI-Generated Content from a Cognitive Fit Perspective
Hilton Hawaiian Village, Honolulu, Hawaii
Generative artificial intelligence (GAI) has the potential to fundamentally disrupt how content is produced and will become increasingly integrated into organizational and individual task-performing and decision-making. This study aims to investigate how individuals perceive and process AI-generated content. Specifically, we propose that perceived credibility and creativity are critical antecedents of user satisfaction via cognitive fit and examine the boundary conditions. In an online scenario experiment with a sample size of 548 participants, we tested our hypotheses. The result shows that perceived credibility and creativity positively impact cognitive fit, which in turn affects user satisfaction with the outcome and process. Furthermore, regarding the boundary conditions, the results indicate a good match between the information values (i.e., credibility and creativity) and task types (i.e., routine vs. creative task) leads to cognitive fit, and users perceive different levels of satisfaction when they have different task motivations (i.e., hedonic vs. utilitarian task). Finally, we discuss theoretical contributions and practical implications.
https://aisel.aisnet.org/hicss-57/cl/machines_as_teammates/5