3 citations · 7 across the 4 of their papers we have counts for
4 papers
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,…
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…
Challenges, Adaptations, and Fringe Benefits of Conducting Software Engineering Research with Human Participants during the COVID-19 Pandemic
Anuradha Madugalla, Tanjila Kanij, Rashina Hoda +4
The COVID-19 pandemic changed the way we live, work and the way we conduct research. With the restrictions of lockdowns and social distancing, various impacts were experienced by m…
Diverse End User Requirements
John Grundy, Tanjila Kanij, Jennifer McIntosh +2
As part of our larger research effort to improve support for diverse end user human-centric aspects during software development, we wanted to better understand how developers curre…