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Sue Lim

Ph.D. Candidate (ABD)

Department
  • Communication
limsue@msu.edu
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Bio

Sue is a doctoral candidate in the Department of Communication. She received her B.S. in Economics from the Wharton School of Business at UPenn, with a concentration in Marketing. She worked as a data analyst at a marketing research company (NAXION) for four years before deciding to pursue her passion for academic research.

Research and Teaching

Sue's current main research interest is at the intersection of social influence and artificial intelligence betboom sports betting(AI). She is particularly interested in how we can integrate our knowledge about the human social world with rapidly advancing AI and extended reality platforms to build influential embodied AI agents that can support human learning, judgment, decision-making, and well-being across various contexts.

Her other ongoing projects include using biobehavioral and neurophysiological measures, in conjunction with self-reports, to understand people's behavior and experience in simulated contexts (e.g., public speaking events) within immersive virtual reality (VR). 

In general, Sue is also interested in using and developing AI and other computational tools to examine interpersonal and human-AI communication processes. 

Sue is a Google PhD Fellowship nominee for 2024-2025 school year and attended the 2023 MIND summer school for computational neuroscience (topic: interacting minds).

Sue's teaching experience includes Introduction to Artificial Intelligence (AI) and Use Case for Communication Research, Methods of Communication Inquiry, Introduction to Organizational Communication, Human Communication, and Business Communication.

Recent Publications

betboom team, Schmälzle, R., & Bente, G. (2024). Artificial social influence via human-embodied AI agent interaction in immersive virtual reality (VR): Effects of similarity-matching during health conversations. arXiv.

Lim, S., & Schmälzle, R. (2024). The effect betboom dachaof source disclosure on evaluation of AI-generated messages. Computers in Human Behavior: Artificial Human, 2(1), 100058.

Schmälzle, R., Wu, J., Lim, S., & Bente, G. (2024). The eyes have it: Inter-subject correlations of pupillary responses for audience response measurement in VR. bioRxiv.

Schmälzle, R., Lim, S., Wu, J., Bezbaruah, S., & Hussain, S. A. (2024). Two of a kind: Adolescent twins' brains align more closely during a social movie. Journal of Media Psychology.

Lim, S., & Schmälzle, R. (2024). Exploring the mechanisms of AI message generation: A chatbot development activity for students. Communication Teacher, 38(1), 21-27.

Schmälzle, R., Lim, S., Cho, H. J., Wu, J., & Bente, G. (2023). Examining the exposure-reception-retention link in realistic communication environments via VR and eye-tracking: The VR billboard paradigm. PLOS One, 18(11), e0291924.

Lim, S., & Schmälzle, R. (2023). Artificial intelligence for health message generation: An empirical study using a large language model (LLM) and prompt engineering. Frontiers in Communication, 8, 1129082.

Contact Information

404 Wilson Rd, Room 552
LinkedIn: Sue Lim
Website: https://sueminnlim.com
Twitter/X: @sueminnlim