collaborators

7 papers

cs.HC2026

Auto-Generating Personas from User Reviews in VR App Stores

Yi Wang, Kexin Cheng, Xiao Liu +4

Personas are a valuable tool for discussing accessibility requirements in software design and development practices. However, the use of personas for accessibility-focused requirem…

cs.HC2026

Discussing Your Needs in VR: A Novel Approach through Persona-based Stakeholder Role-Playing

Yi Wang, Zhengxin Zhang, Xiao Liu +3

In this study, we propose a novel approach that supports requirements discussions in virtual environments by automatically generating personas from real-time speech-to-text data. I…

cs.HC2026

VRARE: Using Virtual Reality to Understand Accessibility Requirements of Color Blindness and Weakness

Yi Wang, Ben Cheng, Xiao Liu +3

In this paper, we developed a virtual reality (VR) system that can simulate color blindness and weakness. We built an immersive 3D web view interface where participants can discuss…

cs.SE2025

Monitoring Machine Learning Systems: A Multivocal Literature Review

Hira Naveed, Scott Barnett, Chetan Arora +3

Context: Dynamic production environments make it challenging to maintain reliable machine learning (ML) systems. Runtime issues, such as changes in data patterns or operating conte…

cs.SE2025

Investigating VR Accessibility Reviews for Users with Disabilities: A Qualitative Analysis

Yi Wang, Chetan Arora, Xiao Liu +4

Accessibility reviews provide valuable insights into both the limitations and benefits experienced by users with disabilities when using virtual reality (VR) applications. However,…

cs.CY2025

Ethical Concerns of Generative AI and Mitigation Strategies: A Systematic Mapping Study

Yutan Huang, Chetan Arora, Wen Cheng Houng +3

[Context] Generative AI technologies, particularly Large Language Models (LLMs), have transformed numerous domains by enhancing convenience and efficiency in information retrieval,…