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Department of Media and Communication Center for Communication Research

Yuheng WU 吳宇恆

BA (Sichuan University), PhD Candidate (Shanghai Jiao Tong University), PhD Candidate (City University of Hong Kong)

Ph.D. Candidate

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Contact Information

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Email: yuheng.wu@my.cityu.edu.hk
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Personal CV: Personal CV
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Academic Profile

CityU Scholar
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Research Interests

  • Media Technology
  • Media Psychology
  • Human–Computer Interaction
Yuheng Wu (吴宇恒) is a double degree PhD Candidate in the Department of Media and Communication at City University of Hong Kong (CityU) and the School of Media and Communication at Shanghai Jiao Tong University (SJTU). His research focuses on sociopsychological issues of human–AI interaction and human–machine communication.


Education

  • Ph.D. in Media and Communication (2021 - present)
    Department of Media and Communication
    City University of Hong Kong
  • Combined M.A. & Ph.D. in Communication (2018 - present)
    School of Media and Communication
    Shanghai Jiao Tong University
  • B.A. in Advertising (2014 - 2018)
    College of Literature and Journalism
    Sichuan University

Journal Publications

Journals' JCR information for the corresponding publication year.

  • Mou, Y., Zhang, L., Wu, Y.* (corresponding author), Pan, S., & Ye, X. (2023, online first). Does self-disclosing to a robot induce liking for the robot? Testing the disclosure and liking hypotheses in human–robot interaction. International Journal of Human–Computer Interaction. [SSCI, Q1]
  • Dong, Y., Chen, M., & Wu, Y. (2022, online first). Effects of social norms and message framing on reducing the stigma of gynecological diseases: A cognitive-affective-behavioral model. Applied Psychology: Health and Well-Being. [SSCI, Q1]
  • Wu, Y., Kim, K. J., & Mou, Y. (2022, online first). Minority social influence and moral decision-making in human–AI interaction: The effects of identity and specialization cues. New Media & Society. [SSCI, Q1]
  • Dong, Y., Wu, Y.* (corresponding author), Wu, F., Mou, Y., & Ivanov, A. (2022). From Homeland-Mother to Azhong-Brother: A qualitative study of nation anthropomorphism among Chinese youths. Media, Culture & Society, 44(7), 1354–1371. [SSCI, IF = 3.3, Q2]
  • Wu, Y., Zhang, L., Wang, J., & Mou, Y. (2021). Communicating air quality index information: Effects of different styles on individuals’ risk perception and precaution intention. International Journal of Environmental Research and Public Health, 18, 10542. [SSCI/SCIE, Open Access, IF = 4.614, Q1]
  • Mou, Y., Cui, Y., Wang, J., Wu, Y., Li, Z., & Wu, Y. (2021). Perceiving sexual harassment and #metoo social media campaign among Chinese female college students. Journal of Gender Studies, 31(2), 178–192. [SSCI, IF = 2.011, Q2]
  • Xu, K., Liu, F., Mou, Y., Wu, Y., Zeng, J., & Schäfer, M. S. (2020). Using machine learning to learn machines: A cross-cultural study of users’ responses to machine-generated artworks. Journal of Broadcasting & Electronic Media, 64(4), 566–591. [SSCI, IF = 2.441, Q3]
  • Mou, Y., Wu, Y., Wang, J., Wu, Y., Li, Z., & Cui, Y. (2020). Safer sex practice among female Chinese college students and its antecedents: A culture-centered approach. International Journal of Sexual Health, 32(3), 282–292. [SSCI, IF = 1.944, Q3]
  • 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, 106186. [SSCI, IF = 6.829, Q1]

Book Chapters

  • Mou, Y., & Wu, Y. (2023). Communicating with conversational assistants: Uses, contexts, and effects. In Guzman, A., McEwen, R., & Jones, S. (Eds.), The SAGE Handbook of Human–Machine Communication (pp. 458–465). SAGE Publications.
  • 吴宇恒 [Wu, Y.], 饶广祥 [Rao, G.], & 牟怡 [Mou, Y.]. (2020). “沉默”在理性诉求视频广告中的认知心理研究——基于ELM的眼动实验证据. [Cognitive psychological impacts of silence in rational video commercial: An eye tracking study based on ELM]. In 夏倩芳 [Xia, Q.] (Ed.), 中国网络传播研究(第13辑):在线媒体的使用与效果 [China Computer–Mediated Communication Studies (Series 13): Use and Effect of Online Media] (1st ed., pp. 28–46). 中国传媒大学出版社 [Communication University of China Press].

Featured Conference Presentations

  • Wu, Y., Kim, K. J., & Sundar, S. S. (2023, May). Effects of social, contingent, and transparent exchange of information in human–chatbot interaction. Paper to be presented at the 73rd Annual International Communication Association Conference (ICA’23), Toronto, Canada.
  • Dong, Y., Wu, Y., & Shao, Y. (2023, May). Is “Dr.” always good? Effects of status-based expert source cues and contingency in healthcare chatbots. Paper to be presented at the 73rd Annual International Communication Association Conference (ICA’23), Toronto, Canada.
  • Wu, Y., Mou, Y., & Kim, K. J. (2022, May). Minority influence in human–machine communication: Effects of source identity and expertise on moral decision-making. Paper presented at the 72nd Annual International Communication Association Conference (ICA’22), Paris, France.
  • Dong, Y., & Wu, Y. (2022, May). Algorithm transparency in online illness research: A serial mediation model. Paper presented at the 72nd Annual International Communication Association Conference (ICA’22), Paris, France.
  • Dong, Y., & Wu, Y. (2022, May). From Homeland-Mother to Azhong-Brother: A qualitative study of nation anthropomorphism among Chinese youths. Paper presented at the 72nd Annual International Communication Association Conference (ICA’22), Paris, France.
  • Wu, Y., Zhang, L., Wang, J., & Mou, Y. (2021, May). Framing air quality index information: Impact on risk perception and precaution intention. Paper presented at the 71st Annual International Communication Association Conference (ICA’21).
  • Xu, K., Liu, F., Mou, Y., Wu, Y., Zeng, J., & Schäfer, M. (2020, May). Using machine learning to learn machines: A cross-cultural study of users’ responses to machine-generated art works. Paper presented at the 70th Annual International Communication Association Conference (ICA’20).
  • Mou, Y., Wu, Y., Li, Z., & Xu, K. (2019, August). American and Chinese subjects’ explicit and implicit perceptions of AI-generated content: A mixed-methods approach. Paper presented at the 102nd Annual Conference of Association for Education in Journalism and Mass Communication (AEJMC’19), Toronto, Canada.

Teaching Experience

Teaching Assistant (SJTU)

  • JC26131, Human-machine Communication Studies (Graduate, Spring 2020)
  • JC26126, Ecological Crisis and Environmental & Health Communication (Graduate, Fall 2019)
  • GE6001, Scientific Writing, Integrity and Ethics (Graduate, Fall 2019)

Media Coverage of Research

  • Mou, Y., Wu, Y., & Ye, X. (2023, April 26). Exploring the potential for intimacy in conversational robots. The Academic. https://theacademic.com/exploring-the-potential-for-intimacy-in-conversational-robots/
  • 全媒派. (2021, May 10). AI续写小说悄然流行:人类特有的创作力,已经被AI复制?. 36氪. https://36kr.com/p/1217950038790789

Awards and Honors

  • Outstanding Research Papers Awards Scheme (2022/23), College of Liberal Arts and Social Sciences, City University of Hong Kong
  • Dean’s Scholarship (2019), School of Media and Communication, Shanghai Jiao Tong University
  • Outstanding Undergraduate Dissertation (2018), Sichuan University
  • National Scholarship (2016), Ministry of Education of the PRC