Portrait de Xin Jin

Xin Jin

User Experience Researcher II

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À propos

Xin Jin (靳昕) is currently working as a User Experience Researcher II at STC Asia, Microsoft. He is responsible for the user experience research work of Teams CMD (Calling, Meeting, and Device) and MSAI (Search, Assistive, Intelligent). Before joining Microsoft, Xin worked in both academia and industry for several years. 2020-2022, he worked as a senior user researcher for Douyin / Toutiao search engine at ByteDance (opens in new tab). 2019-2020, he worked as a senior research assistant at the Department of Media and Communication (opens in new tab), City University of Hong Kong (opens in new tab).

His research interests include UX (user experience) design, HCI (human-computer interaction), communication technology, political communication, and computational social science. Xin is good at both classic quantitative methods (e.g., survey, experiment, and content analysis) and computational methods (e.g., web scraping, natural language processing, social network analysis, and computer vision). Python is the most familiar programing language for him.

Featured publications (for details, see Publications tab)

  • Zhang, Y., Jin, X.* (2023) Presence in Ex-Game: How Switch’s Ring Fit Adventure Affects User Engagement and Psychological Satisfaction. The 73rd International Communication Association Annual Conference (ICA). Toronto, Canada [*corresponding]
  • Yan, L., Jin, X.*, & Zhang, Y. (2022) Effects of Virtual Reality Technology in Disaster News Coverage based on MAIN Model. Proceedings of the 24th International Conference on Human-Computer Interaction (HCII). Gothenburg, Sweden https://doi.org/10.1007/978-3-031-06394-7_18 (opens in new tab) [*corresponding]
  • Jiang, Y., & Jin, X. (2022) Using K-means Clustering to Classify Protest Songs Based on Conceptual and Descriptive Audio Features. Proceedings of the 24th International Conference on Human-Computer Interaction (HCII). Gothenburg, Sweden https://doi.org/10.1007/978-3-031-05434-1_19 (opens in new tab)
  • Jiang, Y., Jin, X., & Deng, Q. (2022) Short Video Uprising: How #BlackLivesMatter Content on TikTok Challenges the Protest Paradigm. Workshop Proceedings of the 16st International AAAI Conference on Web and Social Media (ICWSM). Atlanta, U.S. https://doi.org/10.36190/2022.42 (opens in new tab)
  • Zhang, Y., Jin, X.*, & Yan, L. (2022) How Social Media Information Affects the Intention to Uptake Covid-19 Vaccine: Integrating ELM and HBM Models. The 72nd International Communication Association Annual Conference (ICA). Paris, France [*corresponding]
  • Jin, X., Ye, Q., & Zhang, Y. (2021) Trust and Credibility: The Differences between Perceiving an AI Anchor as AI and Human. The 71st International Communication Association Annual Conference (ICA). Denver, U.S.
  • Jin, X., & Jiang, Y. (2021) Effects of Hong Kong Local Identity on the Intention to Use Health Code during COVID-19. The 2021 Association for Education in Journalism and Mass Communication Annual Conference (AEJMC). New Orleans, U.S.
  • Jin, X.*, Jiang, Y., Zhang, Y.a, An, Z., Ye, Q., Zhang, Y.b, Dai, B., Zhu, C., & Xiao, Y. (2021) AI Anchor, 5G, and Recommendation Algorithm: Interaction, Adoption, and Impact of Emerging Communication Technology. The 2021 Association for Education in Journalism and Mass Communication Midwinter Conference (AEJMC). University of Oklahoma, Norman, U.S. [*chair and moderator] https://bit.ly/36W2hFw (opens in new tab)
  • Jin, X. (2020) Using Text Mining to Examine the Role of Topics of Election Promises in Predicting Election Results. The 6th International Conference on Computational Social Science (IC2S2). MIT Media Lab, Cambridge, U.S.

Talks and keynote speeches

  • Microsoft (sharing session)
    • Dec 2022 – STCA Learning Day «What Can UX Research Help and How»
  • Academic conference (keynote speech)
    • Jul   2021 – IAMCR Regional Conference «Text and Images as Data»
    • May 2021 – ICA Regional Conference «Health Behavior by Political Identity»
  • City University of Hong Kong (teaching lecture)
    • COM 5507 – Social Media Data Acquisition and Processing (for graduate)
    • COM 2105 – Visual Communication (for undergraduate)
    • COM 3119 – International Communication (for undergraduate)
  • Communication University of China (invited talk)
    • Jun 2022 – User and market research method
  • Central South University (invited seminar)
    • Sep 2020 – Big Data and Computational Methods in Communication Research
    • Dec 2019 – API Data Retrieving Workshop (Python)
    • Nov 2019 – Communication Research Method (with SPSS/AMOS workshop)
    • Jun 2019 – Introduction to Computational Methods