Seminar Series: Dr. Shan Xu
October 6 @ 2:00 pm – 3:00 pm
Dr. Shan Xu is an Associate Professor in the Department of Public Relations and Strategic Communication Management at Texas Tech University. Her research adopts a dynamic, longitudinal lens to investigate human-technology interaction in organizational, health, and science communication contexts. Her work has been published in journals including Journal of Communication, Communication Research, Human Communication Research, Communication Monographs, Journal of Computer-Mediated Communication, and Health Communication.
Location: Blocker 220 and Zoom
Zoom ID: 974 9688 4861
Passcode: 923446
A Dynamic Approach to Examine Human-AI Interaction
This talk introduces a dynamic, longitudinal approach to studying human-AI interaction. I begin by outlining the theoretical foundations that guide my research, particularly how “dynamic” is conceptualized.
The first study examines how trust in AI systems calibrates over time in human-AI collaboration. Building on a typology of trusting behaviors: under-trust, over-trust, validated trust, and discerning trust, we investigate their antecedents, temporal trajectories, and responsiveness to performance feedback as a corrective intervention. I will present findings from two experiments in which participants completed 24 human-AI collaborative tasks.
The second stream of my research investigates the dynamic relationship between functional and relational use of AI over time, specifically, how users may begin by engaging with AI as a tool, yet gradually come to relate to it as a social companion. Drawing on findings from two longitudinal studies and an ongoing project, I reflect on the conceptual and methodological challenges in tracing this dynamic relationship, and the implications for our understanding of AI companions.
Faculty Host: Dr. Lu Tang, Director of TAMIDS Data Justice Lab