3 citations · 7 across the 11 of their papers we have counts for
11 papers
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…
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…
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…
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…
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,…
Understanding Practitioners Perspectives on Monitoring Machine Learning Systems
Hira Naveed, John Grundy, Chetan Arora +2
Given the inherent non-deterministic nature of machine learning (ML) systems, their behavior in production environments can lead to unforeseen and potentially dangerous outcomes. F…
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,…
Managing Human-Centric Software Defects: Insights from GitHub and Practitioners' Perspectives
Vedant Chauhan, Chetan Arora, Hourieh Khalajzadeh +1
Context: Human-centric defects (HCDs) are nuanced and subjective defects that often occur due to end-user perceptions or differences, such as their genders, ages, cultures, languag…
Unlocking Adaptive User Experience with Generative AI
Yutan Huang, Tanjila Kanij, Anuradha Madugalla +3
Developing user-centred applications that address diverse user needs requires rigorous user research. This is time, effort and cost-consuming. With the recent rise of generative AI…
Towards Standards-Compliant Assistive Technology Product Specifications via LLMs
Chetan Arora, John Grundy, Louise Puli +1
In the rapidly evolving field of assistive technology (AT), ensuring that products meet national and international standards is essential for user safety, efficacy, and accessibili…
Who Uses Personas in Requirements Engineering: The Practitioners' Perspective
Yi Wang, Chetan Arora, Xiao Liu +4
Personas are commonly used in software projects to gain a better understanding of end-users' needs. However, there is a limited understanding of their usage and effectiveness in pr…