Brian Y. Lim · National University of Singapore

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Works75 from public data

TitleCited by

Designing Theory-Driven User-Centric Explainable AI
CHI Conference on Human Factors in Computing Systems · 2019
937
Trends and Trajectories for Explainable, Accountable and Intelligible Systems
CHI Conference on Human Factors in Computing Systems · 2018
867
Why and why not explanations improve the intelligibility of context-aware intelligent systems
ACM SIGCHI Conference on Human Factors in Computing Systems (CHI) · 2009
702
Assessing demand for intelligibility in context-aware applications
ACM International Conference on Ubiquitous Computing (UbiComp) · 2009
287
Toolkit to support intelligibility in context-aware applications
Brian Y. Lim, Anind K. Dey
Proceedings of the 12th ACM international conference on Ubiquitous computing · 2010
195
RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions
CHI Conference on Human Factors in Computing Systems · 2023
159
Sparse Mobile Crowdsensing With Differential and Distortion Location Privacy
IEEE Transactions on Information Forensics and Security · 2020
145
COGAM: Measuring and Moderating Cognitive Load in Machine Learning Model Explanations
CHI Conference on Human Factors in Computing Systems · 2020
140
Event-Driven Visual-Tactile Sensing and Learning for Robots
Tasbolat Taunyazov, Weicong Sng, Brian Lim, Hian Hian See, Jethro Kuan, Abdul Fatir Ansari, Benjamin Tee, Harold Soh
Robotics: Science and Systems XVI · 2020
132
Exploiting Explanations for Model Inversion Attacks
IEEE/CVF International Conference on Computer Vision (ICCV) · 2021
123
Investigating intelligibility for uncertain context-aware applications
ACM International Conference on Ubiquitous Computing (UbiComp) · 2011
120
Where to locate wearable displays?
ACM SIGCHI Conference on Human Factors in Computing Systems (CHI) · 2009
106
Differential Location Privacy for Sparse Mobile Crowdsensing
Proceedings · 2016
103
TableChat
Proceedings of the ACM on Human-Computer Interaction · 2018
87
Towards Relatable Explainable AI with the Perceptual Process
CHI Conference on Human Factors in Computing Systems · 2022
85
RecGAN
ACM Conference on Recommender Systems (RecSys) · 2018
80
Why these Explanations? Selecting Intelligibility Types for Explanation Goals.
IUI Workshops · 2019
70
Design of an intelligible mobile context-aware application
International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI) · 2011
69
Pediluma
International Conference on Tangible, Embedded, and Embodied Interaction (TEI) · 2010
57
Allocating Heterogeneous Tasks in Participatory Sensing with Diverse Participant-Side Factors
IEEE Transactions on Mobile Computing · 2018
43
Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation
CHI Conference on Human Factors in Computing Systems · 2022
33
Evaluating Intelligibility Usage and Usefulness in a Context-Aware Application
Lecture notes in computer science · 2013
32
Improving understanding and trust with intelligibility in context-aware applications
ProQuest LLC eBooks · 2012
32
Show or suppress? Managing input uncertainty in machine learning model explanations
Artificial Intelligence · 2021
31
Incremental XAI: Memorable Understanding of AI with Incremental Explanations
CHI Conference on Human Factors in Computing Systems · 2024
27

Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar; position from the scholar’s ORCID record, last synced 2026-10-10. Citation counts may be lower than on Google Scholar, which indexes more sources.

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