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University of Michigan School of Information

A selfie of Song Mi Lee

Song Mi Lee-Kan


I am an information scientist and survey researcher with over 6 years of research and project management experience. I specialize in developing theory-informed tools and nudges to support user decision-making, taking into account individuals’ emotional and cognitive capacities (e.g., information literacy). Technology adoption and retention frequently face hurdles due to confusion and psychological resistance. I address those hurdles with human-centered designs that are accessible and empathetic.

I am currently a 5th year PhD candidate advised by Cliff Lampe.




Areas of interest

Information literacy, information seeking and avoidance, interface design, behavioral intervention, social media, sustainable technology


M.S. in Information Science, Indiana University, Bloomington, IN
M.A. in Library and Information Science, Yonsei University, South Korea
B.A. in Library and Information Science, Yonsei University, South Korea

News about Song Mi Lee-Kan

UMSI @ CHI 2024. Surfing the World. 11-16 May 2024. Honolulu, Hawaii.
UMSI at CHI 2024: Research, workshops, courses

UMSI research and workshops for the 2024 Conference on Human Factors in Computing Systems (CHI).

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Could a dislike button reduce online toxicity? UMSI researchers say yes

UMSI social media experts find that a dislike feature is a “simple and indirect intervention against online harassment.”

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