Lim, Brian Y.
National University of Singapore
10 papers on CoChatORCID 0000-0002-0543-2414
Most cited papers
- Verified
Designing Theory-Driven User-Centric Explainable AI
Wang, D., Yang, Q., Abdul, A., & Lim, B. Y. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 906
- Verified
Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda
Abdul, A., Vermeulen, J., Wang, D., Lim, B. Y., & Kankanhalli, M. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 743
- Verified
Why and why not explanations improve the intelligibility of context-aware intelligent systems
Lim, B. Y., Dey, A. K., & Avrahami, D. (2009) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Explainable Artificial Intelligence (XAI)Usability and User Interface Design
Cited by 552
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Assessing demand for intelligibility in context-aware applications
Lim, B. Y., & Dey, A. K. (2009) · Proceedings of the 11th international conference on Ubiquitous computing
Usability and User Interface DesignInnovative Human-Technology Interaction
Cited by 246
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Toolkit to support intelligibility in context-aware applications
Lim, B. Y., & Dey, A. K. (2010) · Proceedings of the 12th ACM international conference on Ubiquitous computing
Explainable Artificial Intelligence (XAI)Context-Aware Activity Recognition Systems
Cited by 143
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RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions
Wang, Y., Shen, S., & Lim, B. Y. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Digital Media and Visual ArtGenerative Adversarial Networks and Image Synthesis
Cited by 120
- Verified
Investigating intelligibility for uncertain context-aware applications
Lim, B. Y., & Dey, A. K. (2011) · Proceedings of the 13th international conference on Ubiquitous computing
Usability and User Interface DesignExplainable Artificial Intelligence (XAI)
Cited by 101
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COGAM: Measuring and Moderating Cognitive Load in Machine Learning Model Explanations
Abdul, A., von der Weth, C., Kankanhalli, M., & Lim, B. Y. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
Explainable Artificial Intelligence (XAI)Data Visualization and Analytics
Cited by 96
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Towards relatable explainable AI with the perceptual process
Zhang, W., & Lim, B. Y. (2022) · CHI Conference on Human Factors in Computing Systems
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 67
- Verified
Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation
Wang, Y., Venkatesh, P., & Lim, B. Y. (2022) · CHI Conference on Human Factors in Computing Systems
Explainable Artificial Intelligence (XAI)Design Education and Practice
Cited by 21
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