Track Co-Chairs
Chunmei Gan
Associate Professor
ganchm3@mail.sysu.edu.cn
Sun Yat-sen University
Yong Liu
Associate Professor
yong.liu@aalto.fi
Aalto University School of Business
Brief Introduction
As Generative AI (GenAI) technologies become integral to digital platforms and organizational ecosystems, they are reshaping how users think, decide, and interact with intelligent systems. From creative collaboration and decision-making to identity construction and ethical reflection, GenAI is redefining the boundaries between humans and intelligent systems.
This track explores the multifaceted impacts of GenAI on user cognition, perception, and behavior—ranging from trust, transparency, and privacy concerns to empowerment, adaptation, and resistance in human–AI interactions. It seeks to advance theoretical and empirical understanding of GenAI-driven personalization, engagement, and innovation, as well as creativity and collaboration in digital and organizational contexts.
We invite contributions employing diverse qualitative, quantitative, or mixed methods that provide theoretical or empirical insights into user behavior and engagement in GenAI contexts.
Topics
1. User cognition, perception, and decision-making in GenAI environments
2. Trust, transparency, and privacy concerns in GenAI use
3. GenAI-driven personalization, engagement, and behavioral outcomes
4. User empowerment, adaptation, and resistance to GenAI systems
5. Creativity, collaboration, and Innovation with GenAI
6. Cross-cultural differences and contextual factors in GenAI user behavior
7. Ethical, psychological, and societal implications of GenAI use
8. Responsible use of GenAI
9. Applications of GenAI in vertical domains (e.g., education and healthcare) and their user impacts
Associate Editors
Kun Huang
Professor
huangkun@bnu.edu.cn
Beijing Normal University
Chang Liu
Associate Professor
imliuc@pku.edu.cn
Peking University
Shaobo Liang
Associate Professor
liangshaobo@whu.edu.cn
Wuhan University