Date of Award
4-16-2024
Document Type
Honors Thesis
Department
Behavioral Sciences
First Advisor
Karl G. D. Bailey
Abstract
This study investigates trust in AI-generated language fluency. Participants engaged with both human and AI-generated content, varying in fluency. Findings were to favor trust in fluent human and AI interactions over disfluent ones. Understanding fluency's impact can inform AI design and encourage critical thinking when dealing with AI-generated content. By using qualitative analysis of think-aloud reports, we examined strategies that people use to assess texts labeled as human-generated and AI-generated content.
Recommended Citation
Zhang, Guoxi Robert, "Chatting with Online Agent" (2024). Honors Theses. 293.
https://digitalcommons.andrews.edu/honors/293
Subject Area
Artificial intelligence; Computer sound processing; Text messaging (Cell phone systems)
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.