Yong-Mi Kim
Doctoral Candidate
School of Information
University of Michigan
k i m y m @ u m i c h d o t e d u
Dissertation research. This study investigates the question, “What are tags good for?” in the context of interactive information retrieval. The role of tags in the Web search process, for image searches and text searches, is examined through information retrieval experiments with different interfaces.
The project investigates how to valuate search engines. We conducted an experimental study with 244 students taking part in either online or offline search. The project involved generating questions from search queries, and having search results evaluated by trained raters, in addition to the search experiments.
Participants: Yan Chen (PI), Yong-Mi Kim, Grace Jeon
This project studies credibility assessment in the Web 2.0 environment. The study has three phases: 1) a survey of over 300 Michigan residents; 2) interviews of content creators; and 3) experimental study of credibility assessment.
Participants: Soo Young Rieh (PI), Yong-Mi Kim, Beth St. Jean, Ji-Yeon Yang
The relationship between price and the quality of answers is examined through a field experiment in Google Answers.
Participants: Yan Chen (PI), Yong-Mi Kim, Grace Jeon
The project investigates how users’ preconceptions of information systems and self-efficacy affect the amount of mental effort invested in search. As part of the project I designed and carried out a dual-task experiment to measure mental effort during search.
Participants: Soo Young Rieh (PI), Karen Markey (PI), Yong-Mi Kim
As part of a university-wide digital asset management pilot, investigated existing metadata implementations and developed a metadata standard for use in the pilot.
Participants: Lynn Johnson (PI), Judith Ahronheim (mentor), Yong-Mi Kim
I've also done work in software maintenance process modeling and measurement, and applications of fuzzy logic.