12 citations · 18 across the 5 of their papers we have counts for
5 papers
Prompt Engineering for Requirements Engineering: A Literature Review and Roadmap
Kaicheng Huang, Fanyu Wang, Yutan Huang +1
Advancements in large language models (LLMs) have led to a surge of prompt engineering (PE) techniques that can enhance various requirements engineering (RE) tasks. However, curren…
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,…
Generating User Experience Based on Personas with AI Assistants
Yutan Huang
Traditional UX development methodologies focus on developing ``one size fits all" solutions and lack the flexibility to cater to diverse user needs. In response, a growing interest…
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…
Engineering Adaptive Information Graphics for Disabled Communities: A Case Study with Public Space Indoor Maps
Anuradha Madugalla, Yutan Huang, John Grundy +4
Most software applications contain graphics such as charts, diagrams and maps. Currently, these graphics are designed with a ``one size fits all" approach and do not cater to the n…