Bo Hyun Hong
Research, Teaching, and Scholarly Engagement

Hi!
I'm Bo Hyun,
a Ph.D. Student & Instructor in Information Studies at the University of Wisconsin-Milwaukee.
Bio
Ph.D. Candidate, Information studies,
University of Wisconsin-Milwaukee,
USAMA, Library and Information Science,
Yonsei University,
South KoreaBA, Library and Information Science, Duksung Women's University,
South Korea
Contacts
Current Research Projects
AI-mediated Information Practices
Fairness in AI-supported Information Access
Research Interests
Information Retrieval
Human-AI Interaction
Task-Based Information Practices · User Agency in AI Use
User Behavior and Experience in Information Systems
Publications & Activities
Publications
Xie, I., Choi, W., Hong, B. H., Cudjoe, E., Acheampong, E., & Wang, S. (2026). Blind and Visually Impaired Users' Acceptance of Digital Libraries in the Mobile Environment. Journal of Librarianship and Information Science. https://doi.org/10.1177/09610006261461293
Hong, B. H. (2026). From search to work tasks: exploring students’ AI chatbot information practices in higher education. Information Research an International Electronic Journal, 31(iConf), 1551–1557. https://doi.org/10.47989/ir31iConf64180
Xie, I., Choi, W., Lee, H. S., Wang, N. C., & Hong, B. H. (2026). Dimensions of information search strategies: a study of blind and visually impaired users in mobile digital library environments. Information Research an International Electronic Journal, 31(iConf), 50–64. https://doi.org/10.47989/ir31iConf64177
Xie, I., Choi, W., Lee, H. S., Hong, B. H., & Wang, S. (2026). Investigating the interactions between individuals with disabilities and information retrieval systems: A review of help‐seeking situations, search tactics, and design recommendations. An Annual Review of Information Science and Technology (ARIST) paper. Journal of the Association for Information Science and Technology. 77(1), 62-91. https://doi.org/10.1002/asi.24997
Xie, I., Choi, W., Wang, S., Lee, H. S., Hong, B. H., Wang, N.-C., & Cudjoe, E. K. (2024). Help-Seeking Situations Related to Visual Interactions on Mobile Platforms and Recommended Designs for Blind and Visually Impaired Users. Journal of Imaging, 10(8), 205. https://doi.org/10.3390/jimaging10080205
Posters
Hong, B. H., & Luo, M. (2024). Educational Use of AI Chatbot Responses: Exploring Situational Relevance in Higher Education. Proceedings of the Association for Information Science and Technology, 61(1), 931-933. https://doi.org/10.1002/pra2.1144
Hong, B. H., & Xie, I. (2024). Accessibility Violations of Digital Map Collections. In Wisdom, Well-Being, Win-Win. iConference 2024.
Presentations & Symposia
Hong, B. H. (2026, November 7). How Task Contexts Shape Agency and AI Evaluation in Higher Education. Doctoral Colloquium, 2026 ASIS&T Annual Meeting: Crossing Boundaries: Advancing Global Dialogue and Well-Being through Information Research and Practice, Bangkok, Thailand.
Hong, B. H. (2026, March 16). Understanding Students' AI Chatbot Practices Through Activity Theory. Doctoral Research Exchange Symposium, School of Information Studies, University of Wisconsin-Milwaukee, Milwaukee, WI.
Hong, B. H. (2025, November 14). Task-Based Differences in AI Chatbot Use Among Undergraduate and Graduate Students: An Activity Theory Perspective. [Lightning Talk]. SIG-USE Annual Research Symposium, 2025 ASIS&T Annual Meeting: Information Behavior Research and Practice in the Age of Human-Centered Artificial Intelligence, Washington, DC.
Hong, B. H. (2024, October 14). Educational Use of AI Chatbot Responses: Exploring Situational Relevance in Higher Education. Doctoral Research Exchange Symposium, School of Information Studies, University of Wisconsin-Milwaukee, Milwaukee, WI.
Professional / Public Writing
Hong, B. H. (2026, October 14). Could We Slow Down AI—Who Gets to Set the Pace and Write the Rules? Information Matters. https://informationmatters.org/2026/09/could-we-slow-down-ai-who-gets-to-set-the-pace-and-write-the-rules/
Hong, B. H. (2026, June 10). When AI output becomes “good enough”: Not everyone evaluates AI the same way. Information Matters. https://informationmatters.org/2026/05/when-ai-output-becomes-good-enough-not-everyone-evaluates-ai-the-same-way/
Hong, B. H. (2025, December 18). Are we in the dark forest? Fairness of AI use in learning. Information Matters. https://informationmatters.org/2025/12/are-we-in-the-dark-forest-fairness-of-ai-use-in-learning/
Teaching Experience
Instructor
University of Wisconsin-Milwaukee
[INFOST 120] Information Technology Ethics
[INFOST 310] Human Factors in Information Seeking and Use
[INFOST 571G] Information Access and Retrieval
Teaching Assistant
University of Wisconsin-Milwaukee
[INFOST 110] Introduction to Information Science and Technology
[INFOST 120] Information Technology Ethics
[INFOST 310] Human Factors in Information Seeking and Use
[INFOST 350] Introduction to Application Development
[INFOST 410] Database Information Retrieval Systems
[INFOST 501G] Foundations of Library and Information Science
[INFOST 571G] Information Access and Retrieval
[INFOST 547U/G] User-centered Interaction Design
[INFOST 671] Applied Web 3.0: Artificial Intelligence and Blockchain
[INFOST 691] Accessibility for People with Disabilities
Yonsei University
[LIS4807] Marketing in Libraries and Information Centers
Research Experience
Research Assistant
Universal Accessibility and Usability of Digital Libraries in the Mobile Environment: Developing design guidelines to support blind and visually impaired users (IMLS)
2022-2026Curriculum Development for Korean University Librarian’s Service Empowerment
2020Small Library Policy in Seoul Metropolitan Government
Fall 2019
Last updated: October 2026