Track Co-Chairs

Haichao Zheng
Professor
haichao@swufe.edu.cn
Southwestern University of Finance and Economics

 

 

 

 

 

Yuxiang Zhao
Professor
yxzhao@njust.edu.cn
Nanjing University Of Science And Technology

 

 

 

 

Bin Zhu
Associate Professor
Bin.Zhu@bus.oregonstate.edu
Oregon State University

 

 

Associate Editors

Bo Xu
Associate professor
bxu@fudan.edu.cn
Fudan University

 

 

 

 

Kai Li
Professor
likai@nankai.edu.cn
Nankai University

 

 

 

 

Brief Introduction

The rapid advancement of technology has caused a profound shift in the way we interact with machines. As artificial intelligence (AI) becomes increasingly adopted (e.g., Large Language Models, LLMs), there is a growing need to focus on the design human-computer/AI interactions. This track aims to bring together researchers, practitioners, and experts in the field of human-computer/AI interactions to explore the latest trends, share best practices, and showcase innovative techniques and applications. We call for studies that aim to improve human-computer interactions in the areas of electronic commerce, Internet, autonomous intelligent systems, robots, LLMs agent applications, hybrid human-machine systems, and computer-aided judgment and decision-making in business and social environments. We invite both theoretical and empirical studies that apply any perspective (behavioral, computational, design science, economics). Topics of interest for submission include, but are not limited to, the following list.

Topics

1. User behaviors in human-computer/AI systems
2. Human-computer interactions design and development
3. AI and LLM-based applications in various domains
4. Human-robot interaction and collaboration
5. Hybrid-augmented intelligence of humans and machines
6. Human-Computer/AI collaboration in virtual and augmented reality environments
7. Adaptive and personalized human-computer/AI interactions
8. Hybrid human-machine systems and decision-making support
9. Algorithm-driven recommendations for e-commerce platforms
10. Natural Language Processing (NLP) and Human-Computer/AI Interactions
11. Ethical and privacy considerations in AI-driven interactions
12. Affective computing in human-computer/AI interaction
13. Human-centeredness in human-computer/AI interactions design
14. Cross-cultural perspectives on human-computer/AI interactions
15. Trust and perceived credibility in human-computer/AI interaction

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