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He "Albert" Zhang

He Zhang, or Albert is a HCI researcher. He is a third-year PhD student in Informatics at the College of Information Science and Technology, Penn State University, advised by Dr. John M. Carroll. He is a student member of the Center for Socially Responsible Artificial Intelligence (CSRAI), and the winner of IST Ph.D. Student Award for Research Excellence. He was a full-time research assistant (2021-2022) in an interdisciplinary human-computer interaction lab (The Future Lab) at Tsinghua University. He owned Bachelor of Science degree (2019) with double-major in Computer Science & Data Science, issued by Massey University, New Zealand, and Master of Science degree (2021) with majors in Computer and Mathematical Sciences, issued by Auckland University of Technology.

Portfolio [Click Here]

Recent News

2025/04 - Our paper has been accepted to ACM Conference on Fairness, Accountability, and Transparency (FAccT 2025).
2025/03 - I have been selected as the Winner of IST Ph.D. Student Award for Research Excellence! [A significant milestone]
2025/03 - Our paper has been accepted to Computers in Human Behavior: Artificial Humans | Journal.
2025/03 - Our paper has been accepted to AHFE 2025.
2025/03 - Our paper, "Augmenting Image Annotation: A Human-LMM Collaborative Framework for Efficient Object Selection and Label Generation", has been accepted to ICLR 2025 Workshop on bidirectional human-AI alignment.
2025/02 - Completed Comprehensive Exam [A significant milestone]
2025/02 - Our paper, "Generative AI in Virtual Reality Communities: A Preliminary Analysis of the VRChat Discord Community", has been accepted to CHI 2025 LBW.
2025/01 - I will attend CHI 2025 as an SV. See you all in Japan!
2025/01 - One full paper, "Beyond Visual Perception: Insights from Smartphone Interaction of Visually Impaired Users with Large Multimodal Models", has been accepted to CHI 2025.
2025/01 - I am serving as Program Committee member for ICLR 2025 Workshop on bidirectional human-AI alignment.
2025/01 - I am serving as Associate Chair (AC) for CHI 2025 LBW Track.
2024/10 - One poster paper has been accepted to GROUP '25.
2024/09 - I will attend UIST '24 as an SV. See you in Pittsburgh!
2024/08 - I am serving as CHI 2025 Associate Chair (AC) for User Experience and Usability Track.
2024/07 - One paper has been accepted to ACM SIGITE '24.
2024/05 - One paper has been accepted to IEEE Transactions on Games.
2024/05 - One paper has been announced the Best Paper Honorable Mention of CHI '24 [≈ 3.7%]
2024/03 - Two full papers and one poster were accepted to CHI 2024.
2024/02 - I received two Special Recognitions for Outstanding Reviews for CHI '24 (Papers and Late-Breaking Work).
2024/01 - One paper has been accepted to IEEE VR 2024.

Google Scholar

ResearchGate

GitHub

Publications

Human-AI Collaboration

[Recommended] Harnessing the Power of AI in Qualitative Research: Exploring, Using and Redesigning ChatGPT

(Preprint version: Redefining Qualitative Analysis in the AI Era: Utilizing ChatGPT for Efficient Thematic Analysis)

He Zhang, Chuhao Wu, Jingyi Xie, Yao Lyu, Jie Cai, John M. Carroll

Accepted to Computers in Human Behavior: Artificial Humans | Journal

[paper] [arXiv] [html]

AI Trust Reshaping Administrative Burdens: Understanding Trust-Burden Dynamics in LLM-Assisted Benefits Systems

Jeongwon Jo, He Zhang, Jie Cai, Nitesh Goyal

Accepted to ACM FaccT 2025

Augmenting Image Annotation: A Human-LMM Collaborative Framework for Efficient Object Selection and Label Generation

He Zhang, Xinyi Fu, John M. Carroll

Accepted to ICLR 2025 Workshop on Bidirectional Human-AI Alignment

The Future of Learning: Large Language Models through the Lens of Students.

He Zhang, Jingyi Xie, Chuhao Wu, Jie Cai, ChanMin Kim, John M. Carroll. In the 25th ACM Annual Conference on Information Technology Education (SIGITE '24).

[paper][arXiv] [html]

Exploring Inductive and Deductive Qualitative Coding with AI: Investigating Inter-Rater Reliability between Large Language Model and Human Coders

Accepted to 16th International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences (AHFE 2025 Conference).

(Preprint version: When Qualitative Research Meets Large Language Model: Exploring the Potential of QualiGPT as a Tool for Qualitative Coding)

He Zhang, Chuhao Wu, Jingyi Xie, Fiona Rubino, Sydney Graver, ChanMin Kim, John M. Carroll, Jie Cai

[arXiv] [html]

QualiGPT: GPT as an easy-to-use tool for qualitative coding.

He Zhang, Chuhao Wu, Jingyi Xie, ChanMin Kim, John M. Carroll.

[arXiv] [online ]

Behavioral Analysis and Affective Computing

VRMN-bD: A Multi-modal Natural Behavior Dataset of Immersive Human Fear Responses in VR Stand-up Interactive Games.

He Zhang, Xinyang Li, Yuanxi Sun, Xinyi Fu, Christine Qiu, John M. Carroll. In 2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR) (IEEE VR '24).

[paper] [arXiv] [online ]

Investigating Fear Emotion in Virtual Reality Environments

Understanding Fear Responses and Coping Mechanisms in VR Horror Gaming: Insights From Semi-Structured Interviews

He Zhang, Xinyang Li, Xinyi Fu, Christine Qiu, Jiyuan Zhang, John M. Carroll. In IEEE Transactions on Games, 2024.

[paper]

Exploring Virtual Reality through Ihde's Instrumental Realism

He Zhang & John M. Carroll. In Proceedings of 19th International Conference (iConference 2024).

[paper]

Decoding Fear: Exploring User Experiences in Virtual Reality Horror Games

He Zhang, Xinyang Li, Christine Qiu, Xinyi Fu. In Proceedings of the Eleventh International Symposium of Chinese CHI (CHCHI '23).

[paper]

Human-AI collaboration

Accessibility

Beyond Visual Perception: Insights from Smartphone Interaction of Visually Impaired Users with Large Multimodal Models

Jingyi Xie, Rui Yu, He Zhang, Syed Masum Billah, Sooyeon Lee, John M. Carroll. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI '25).

[paper] [full-text] [GitHub]

Enhancing the Travel Experience for People with Visual Impairments through Multimodal Interaction: NaviGPT, A Real-Time AI-Driven Mobile Navigation System

He Zhang, Nicholas J. Falletta, Jingyi Xie, Rui Yu, Sooyeon Lee, Syed Masum Billah, John M. Carroll. In ACM International Conference on Supporting Group Work (GROUP '25)

[paper] [full-text] [GitHub]

BubbleCam: Engaging Privacy in Remote Sighted Assistance.

Jingyi Xie*, Rui Yu*, He Zhang, Sooyeon Lee, Syed Masum Billah, John M. Carroll. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (CHI '24).

[paper] [full-text] [video] [video teaser]

Social Computing

alberthezhang_AI_world_Human-AI_abstract_d60e6fff-458f-4ac1-bc56-97e8cb9c1983.png?ex=66c4c86a&is=66c376ea&hm=604114c0f1ef4bdc353e4542b79cf0d21e0931060b7c7b7d4aed64fb50b9940d&=&format=webp&quality=lossless&width=710&height=710

Generative AI in Virtual Reality Communities: A Preliminary Analysis of the VRChat Discord Community

He Zhang, Siyu Zha, Jie Cai*, Donghee Yvette Wohn and John M. Carroll. In Extended Abstracts of the 2025 CHI Conference on Human Factors in Computing Systems (CHI EA '25).

[arXiv]

Third-Party Developers and Tool Development for Community Management on Live Streaming Platform Twitch.

Jie Cai, Ya-Fang Lin, He Zhang, and John M. Carroll. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (CHI '24). [Honorable Mention]

[paper] [arXiv] [video]

A Preliminary Exploration of YouTubers’ Use of Generative-AI in Content Creation.

Yao Lyu, He Zhang, Shuo Niu, Jie Cai. In Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems (CHI EA '24)

[paper] [arXiv] [video]

Reconnecting An International Travel Network: The Personal Infrastructuring Work of International Travelers in A Multi-facet Crisis.

Yao Lyu, He Zhang, John M. Carroll. In Proceedings of the Eleventh International Symposium of Chinese CHI (CHCHI '23).

[paper] [arXiv]

Tips, Tidings, and Tech: Governmental Communication on Facebook During the COVID-19 Pandemic.

Ehsan Ul Haq, Tristan Braud, Lik Hang Lee, Reza Hadi Mogavi, He Zhang, Pan Hui. In Proceedings of the 23rd Annual International Conference on Digital Government Research (DG. O '22)

[paper] [full-text]

Smart Home IoT

Multi-channel Sensor Network Construction, Data Fusion and Challenges for Smart Home.

He Zhang, Robin Ananda, Xinyi Fu, Zhe Sun, Xiaoyu Wang, Keqi Chen, John M. Carroll. In Proceedings of the Eleventh International Symposium of Chinese CHI (CHCHI '23).

[paper] [arXiv]

A review of the frontier research on future smart home.

Xinyi Fu, He Zhang, Cheng Xue, Tongxin Sun. In Science & Technology Review, 2023.

[reference]

Design Research and Application Practice of Integrated Experimental Platform for Smart Home

Xinyi Fu, He Zhang, Cheng Xue, Xinyang Li, Zhe Sun, Ying-Qing Xu. In Packaging Engineering, 2022

[reference]