Jiaying(Mia) Fu








Exploring interactive system with artistic spirits.














RESUME   CONTACT                 


Jiaying Fu is a media art creator and HCI researcher with dual backgrounds in engineering and art. She has extensive experience in interdisciplinary collaboration and is currently a graduate student at Beijing Normal University.

Her research interests are centered around interactive system with artistic spirits, focusing on topics such as synesthetic interactive narratives, spatial computing and empathy. Jiaying's works have been featured in ICME, Harvard XR Conference and China Digital Art Exhibition.

EDUCATION
09/2023 - Present   Master of Fine Arts, Beijing Normal University, Zhuhai, China
09/2019 - 07/2023   Bachelor of Engineering in Digital Media Technology, Beijing University of Posts and Telecommunications, Beijing, China


EXEPERIENCE


 04/2024 - Present   Assistant Developer, Ada Eden( AI-Native Game Team, Representative Work: 1001 Nights)
02/2022 - 06/2022   Multimedia Designer, Production Department, Beijing Xinju Yuan Culture Technology Co., Ltd
10/2021 - 02/2022   User Researcher, i-MUR Interactive Entertainment Marketing and User Research Department, Shenzhen Tencent Computer System Co., Ltd

 Publications






Cracking Aegis: An Adversarial LLM-based Game for Raising Privacy Awareness (Under Review)
Jiaying Fu*, Yiyang Lu*, Zehua Yang, Fiona Nah, Ray LC
CHI 2025


Co-evolving Body and Space: A Behavior-driven Form-finding Experiment through AR Media in Social Context 
Jiaying Fu, Yuhao Huang, Xingjian Miao, Wenyi Sun, Zitong Xia, Siyan Liu, Xinyu Wang, Haozhe Zhang, Weijie Lin, Rongwei Sun, Chao Yan
CEB-ASC 2024: Environment-Behavior and Future Human Habitat 

This paper explores the adaptive relationship between human behavior and spatial form using a real-time feedback loop via AR media and behavior computation. In a social experiment, participants’ interactions with modifiable physical spaces influence virtual geometry, which in turn affects their behavior. Preliminary results highlight the method’s potential to deepen understanding of behavior-environment dynamics. 

"AI Life" and Human Fear : From Phenomenological Insights to Digital Creation
Jiaying Fu*, Tianyue Gong*, Jialin Gu*, Tiange Zhou
ICME 2024

This paper examines the concept of "AI life" through a phenomenological lens, focusing on human fears of AI. It explores the root causes of these anxieties by comparing philosophical ideas on AI and human existence and presents a theoretical framework applied to an AI-narrative case study. The study highlights how AI in the arts reflects societal fears, contributing to the discourse on AI and digital creation.

Gallery

    





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