Kun Xu, Ph.D.
Assistant Professor in Emerging Media - Department of Telecommunication
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.
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
- 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)
- Kun Xu Co-Authors Article on Cues for Understanding Emerging Media Technology (January 6, 2020)
- All News About Kun Xu
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. 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
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
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. (2019). Explicating cues: A typology for understanding emerging media technologies. Journal of Computer-Mediated Communication, 25(1), 32-43. DOI: 10.1093/jcmc/zmz023
Wu, Y., Mou, Y., Li, Z., & Xu, K. (2019). 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
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).
Syllabi from the current and three previous semesters:
- RTV 3405 - Television and American Society - Spring 2021 (PDF)
- RTV 3405 - Television and American Society - section 4492 - Fall 2020 (PDF)
- MMC 6936 - Computer-Mediated Communication - Spring 2020 (PDF)
- RTV 3405 - Television and American Society - section 029H - Spring 2020 (PDF)
- RTV 3405 - Television and American Society - section 4492 - Fall 2019 (PDF)