Kun Xu, Ph.D.

Assistant Professor in Emerging Media - Department of Telecommunication

Office: 3219A Weimer Phone: 352-392-0435 Email: kun.xu@ufl.edu

Bio

Kun Xu’s research area focuses on the intersection of human-computer interaction, computer-mediated communication, and media psychology. His work investigates how people perceive and process information from technologies such as social robots, computer agents and virtual assistants. He also examines how people use virtual and augmented reality (VR/AR) technologies to make sense of spaces and maintain social relationships. His research on smartphones focuses on mobile interface design and users’ geo-location sharing behavior.

His works have been accepted in journals such as Journal of Computer-Mediated Communication, New Media & Society, Computers in Human Behavior, International Journal of Human-Computer Interaction, Convergence, and International Communication Gazette.

Kun also was a journalist and a news editor at Thomson Reuters and Shanghai Media Group. He received his Ph.D. from the Klein College of Media and Communication at Temple University.

Education

B.A., Journalism, Shanghai International Studies University
M.A., Kent State University School of Communication Studies
Ph.D., Temple University Klein College of Media and Communication

News

Does the Popularity of Clubhouse Mean the “Good Old Days” are Back? (February 8, 2021)
Kun Xu Named 2020-2021 UF Global Fellow (December 11, 2020)
Kun Xu Co-Authors Article on Using Machine Learning to Learn Machines (December 11, 2020)
Kun Xu Authors Article on Mobile Media Usage and Language (January 24, 2020)
Explicating Cues: A Typology for Understanding Emerging Media Technologies (January 14, 2020)
All News About Kun Xu

Publications

Refereed Journal Articles

Xu, K. (2020). Language, modality, and mobile media use experiences: Social responses to smartphones in a task-oriented context. Telematics & Informatics, 48. DOI: 10.1016/j.tele.2020.101344

Kim, J., Merrill, K., Xu, K., & Sellnow, D. (2020). My teacher is a machine: Understanding students’ perception of AI teaching assistants in online education. International Journal of Human-Computer Interaction, 36, 1902-1911. DOI: 10.1080/10447318.2020.1801227

Xu, K., Liu , F., Mou, Y., Wu, Y., Zeng, J., & Schafer , M. (2020). Using machine learning to learn machines: A cross-cultural study of users’ responses to machine-generated art works. Journal of Broadcasting and Electronic Media. DOI: 10.1080/08838151.2020.1835136

Xu, K., & Liu, F. (2020). Using machine learning to learn machines: A cross-cultural study of users’ responses to machine-generated art works. Journal of Broadcasting & Electronic Media, 64(4), 566. DOI: 10.1080/08838151.2020.1835136

Liao, T., & Xu, K. (2020). A process approach to understanding multiple open source innovation contests: Assessing the contest structures, execution, and participant responses in the Android Developer Challenges. Information and Organization, 30(2). Retrieved from https://www.sciencedirect.com/science/article/abs/pii/S1471772720300245

Wu, Y., Mou, Y., Li, Z., & Xu, K. (2020). Investigating American and Chinese Subjects’ explicit and implicit perceptions of AI-Generated artistic work. Computers in Human Behavior, 104. Retrieved from https://www.sciencedirect.com/science/article/pii/S074756321930398X

Liao, T., Yang, H., Lee, S., Xu, K., & Bennett , S. (2020). Augmented criminality: How people process in-situ augmented reality crime information in relation to space/place. Mobile Media and Communication. DOI: 10.1177/2050157919899696

Steiner, E., & Xu, K. (2020). Binge-watching motivates change: Uses and gratifications of streaming video viewers challenge traditional TV research. Convergence: The International Journal of Research into New Media Technologies, 26(1), 82-101. Retrieved from https://journals.sagepub.com/doi/abs/10.1177/1354856517750365

Xu, K., & Liao, T. (2020). Explicating cues: A typology for understanding emerging media technologies. Journal of Computer-Mediated Communication, 25(1), 32-43. DOI: 10.1093/jcmc/zmz023

Xu, K. (2019). First encounter with robot Alpha: How individual differences interact with vocal and kinetic cues in users’ social responses. New Media & Society, 21(11-12), 2522-2547. Retrieved from https://journals.sagepub.com/doi/abs/10.1177/1461444819851479

Mou, Y., Shi, C., Shen, T., & Xu, K. (2019). A Systematic Review of the Personality of Robot: Mapping Its Conceptualization, Operationalization, Contextualization and Effects. International Journal of Human--Computer Interaction, 36, 591-605. Retrieved from https://www.tandfonline.com/doi/abs/10.1080/10447318.2019.1663008

Xu, K. (2018). Location Speaks: Using GIS Approach to Understand an Anti-pornography Campaign in Mainland China. China Media Research, 14(2), 29-44.

Mou, Y., Xu, K., & Xia, K. (2018). Unpacking the black box: Examining the (de) Gender categorization effect in human-machine communication. Computers in Human Behavior, 90, 380-387. Retrieved from https://www.sciencedirect.com/science/article/pii/S0747563218304242

Xu, K. (2018). Painting Chinese mythology: Varying touches on the magazine covers of Time, The Economist, Der Spiegel, and China Today. International Communication Gazette, 80(2), 135-157. Retrieved from https://journals.sagepub.com/doi/abs/10.1177/1748048517707386

Xu, K., & Lombard, M. (2017). Persuasive computing: Feeling peer pressure from multiple computer agents. Computers in Human Behavior, 74, 152-162. Retrieved from https://www.sciencedirect.com/science/article/pii/S0747563217302856

Mou, Y., & Xu, K. (2017). The media inequality: Comparing the initial human-human and human-AI social interactions. Computers in Human Behavior, 72, 432-440. Retrieved from https://www.sciencedirect.com/science/article/pii/S0747563217301486

Xu, K., Lin, M., & Haridakis, P. (2015). Being Addicted to Chinese Twitter: Exploring the Roles of Users' Expected Outcomes and Deficient Self-regulation in Social Network Service Addiction. China Media Research, 11(2).

Courses

Syllabi from the current and three previous semesters:

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