波音游戏-波音娱乐城赌球打不开

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

CityU Scholar
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Research Interests

  • Human–AI Interaction
  • Human-Centered AI
  • AI for Healthcare
Yuheng Wu (吳宇恒) is a dual-degree PhD candidate in the Department of Media and Communication at City University of Hong Kong (CityUHK) and the School of Media and Communication at Shanghai Jiao Tong University (SJTU). His research explores the applicability of Human–Human Interaction (HHI) theories in Human–AI Interaction (HAII) contexts, while also developing novel conceptual approaches to address HAII phenomena that traditional HHI theories cannot fully explain. Building on these theoretical insights, his current work focuses on designing trustworthy and human-centered experiences for users of healthcare chatbots.


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

Refereed Publications

Journals' JCR information for the corresponding publication year.

  • Wu, Y., Dong, Y., Mou, Y., & Kim, K. J. (In press). How the algorithmic transparency of search engines influences health anxiety: The mediating effects of trust in online health information search. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI’25).
  • Wu, Y., Kim, K. J., & Mou, Y. (2024). Minority social influence and moral decision-making in human–AI interaction: The effects of identity and specialization cues. New Media & Society, 26(10), 5619–5637. [SSCI, IF = 5.0, Q1]
  • Dong, Y., & Wu, Y.* (corresponding author). (2024). Interacting with healthcare chatbot: Effects of status cues and message contingency on AI credibility assessment. International Journal of Human–Computer Interaction, Online First. [SSCI, Q1]
  • 牟怡, & 吳宇恒. (2024). 從準(zhǔn)社會關(guān)系到人機(jī)關(guān)系:基于原真性與互動(dòng)性的雙維度歸類模型, 當(dāng)代傳播, 3, 9–14. [CSSCI]
  • 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, 40(10), 2534–2545. [SSCI, IF = 3.4, Q1]
  • 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.
  • Dong, Y., Chen, M., & Wu, Y. (2022). 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, 15(4), 1221–1236. [SSCI, IF = 6.9, 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, Article 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., & Sch?fer, 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, Article 106186. [SSCI, IF = 6.829, Q1]
  • 吳宇恒, 饒廣祥, & 牟怡. (2020). “沉默”在理性訴求視頻廣告中的認(rèn)知心理研究——基于ELM的眼動(dòng)實(shí)驗(yàn)證據(jù). 夏倩芳 (Ed.), 中國網(wǎng)絡(luò)傳播研究(第13輯):在線媒體的使用與效果 (pp. 28–46). 中國傳媒大學(xué)出版社. [CSSCI 輯刊]

Refereed Conference Presentations

  • Wu, Y., & Shen, F. (2025, June). Conceptualizing and measuring the perception of machine agency: Developing and validating a higher-order composite scale. Paper to be presented at the 75th Annual International Communication Association Conference (ICA’25), Denver, CO.
  • Wu, Y., & Kim, K. J. (2025, June). Examining the costs and benefits of machine and user agency in human–AI interaction. Paper to be presented at the 75th Annual International Communication Association Conference (ICA’25), Denver, CO.
  • Wu, Y., Kim, K. J., & Sundar, S. S. (2023, May). Effects of social, contingent, and transparent exchange of information in human–chatbot interaction. Paper 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 presented at the 73rd Annual International Communication Association Conference (ICA’23), Toronto, Canada.
  • 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.
  • 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.
  • 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.
  • 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).
  • Zhang, L., Wu, Y., Wnag. J., & Mou, Y. (2020, May). East–West disparities in sex information access, value, and behavior inside China: A sociocultural perspective. Paper presented at the Annual Conference of the International Association for Media and Communication Research (IAMCR 2020).
  • Mou, Y., Wu, Y., Wnag. J., Cui, Y., Wu, Y., & Li, Z. (2020, May). Safe sex practice and its antecedents among female Chinese college students: A culture-centered approach. Paper presented at the 70th Annual International Communication Association Conference (ICA’20).
  • Mou, Y., Cui, Y., Wnag. J., Li, Z., Wu, Y., & Wu, Y.(2020, May). Better sex education, worse protection for girls? Perceiving sexual harassment among Chinese female college students. Paper presented at the 70th Annual International Communication Association Conference (ICA’20).
  • Xu, K., Liu, F., Mou, Y., Wu, Y., Zeng, J., & Sch?fer, 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.

Awards and Honors

  • Outstanding Research Papers Awards Scheme, College of Liberal Arts and Social Sciences, City University of Hong Kong, 2022-2023.
  • Dean’s Scholarship, School of Media and Communication, Shanghai Jiao Tong University, 2019.
  • Outstanding Undergraduate Dissertation, Sichuan University, 2018.
  • National Scholarship, Ministry of Education of the PRC, 2016.

Teaching Experience

Teaching Assistant

  • Human–Machine Communication Studies, JC26131 (MA students), Shanghai Jiao Tong University. (Spring 2020) [Prof. Yi Mou].
  • Ecological Crisis and Environmental & Health Communication, JC26126 (MA students), Shanghai Jiao Tong University. (Autumn, 2019) [Prof. Jilong Wang & Prof. Yi Mou].
  • Scientific Writing, Integrity and Ethics, GE6001 (PhD students), Shanghai Jiao Tong University. (Autumn, 2019) [Prof. Yi Mou].

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