Brian Y. Lim

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Anind K. DeyUniversity of WashingtonBekræftet mail på uw.edu
Ashraf AbdulNational University of SingaporeBekræftet mail på u.nus.edu
Danding WangInstitute of Computing Technology, Chinese Academy of SciencesBekræftet mail på ict.ac.cn
Daqing Zhang, IEEE FellowChair Professor, Telecom SudParis/Peking UniversityBekræftet mail på telecom-sudparis.eu
Jo VermeulenAutodesk ResearchBekræftet mail på autodesk.com
Mohan KankanhalliProfessor of Computer Science, National University of SingaporeBekræftet mail på comp.nus.edu.sg
Chris HarrisonCarnegie Mellon UniversityBekræftet mail på cs.cmu.edu
Leye WangAssistant Professor, Peking UniversityBekræftet mail på pku.edu.cn
Daniel AvrahamiAmazonBekræftet mail på amazon.com
Qian YangCornell UniversityBekræftet mail på cornell.edu
Dingqi YangAssociate Professor, University of MacauBekræftet mail på um.edu.mo
Homin ParkAgency for Science, Technology and Research (A*STAR)Bekræftet mail på i2r.a-star.edu.sg
Yan LyuAssociate Professor of Computer Science, Southeast UniversityBekræftet mail på seu.edu.cn
Wencan ZhangNational University of SingaporeBekræftet mail på u.nus.edu
Homanga BharadhwajSchool of Computer Science, Carnegie Mellon UniversityBekræftet mail på cs.cmu.edu
Simone StumpfUniversity of GlasgowBekræftet mail på glasgow.ac.uk
Christian von der WethNational University of SingaporeBekræftet mail på nus.edu.sg
Alison M Smith-RennerDataminrBekræftet mail på cs.umd.edu
Advait SarkarMicrosoft ResearchBekræftet mail på microsoft.com
Kai LukoffPhD Candidate, University of WashingtonBekræftet mail på uw.edu

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Brian Y. Lim

Assistant Professor, Department of Computer Science, National University of Singapore

Bekræftet mail på comp.nus.edu.sg - Startside

Explainable AI Human-Centered AI Human-Computer Interaction Ubiquitous Computing Machine Learning


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
Why and why not explanations improve the intelligibility of context-aware intelligent systems BY Lim, AK Dey, D Avrahami Proceedings of the SIGCHI conference on human factors in computing systems …, 2009	552	2009
Trends and trajectories for explainable, accountable and intelligible systems: An HCI research agenda A Abdul, J Vermeulen, D Wang, BY Lim, M Kankanhalli Proceedings of the 2018 CHI conference on human factors in computing systems, 2018	547	2018
Designing Theory-Driven User-Centric Explainable AI D Wang, Q Yang, A Abdul, BY Lim Proceedings of the 2019 CHI conference on human factors in computing systems …, 2019	409	2019
Assessing demand for intelligibility in context-aware applications BY Lim, AK Dey Proceedings of the 11th international conference on Ubiquitous computing …, 2009	235	2009
Toolkit to support intelligibility in context-aware applications BY Lim, AK Dey Proceedings of the 12th ACM international conference on Ubiquitous computing …, 2010	180	2010
Investigating intelligibility for uncertain context-aware applications BY Lim, AK Dey Proceedings of the 13th international conference on Ubiquitous computing, 2011	113	2011
Where to locate wearable displays? reaction time performance of visual alerts from tip to toe C Harrison, BY Lim, A Shick, SE Hudson Proceedings of the SIGCHI conference on Human factors in computing systems …, 2009	102	2009
Differential location privacy for sparse mobile crowdsensing L Wang, D Zhang, D Yang, BY Lim, X Ma 2016 IEEE 16th International Conference on Data Mining (ICDM), 1257-1262, 2016	84	2016
Design of an intelligible mobile context-aware application BY Lim, AK Dey Proceedings of the 13th international conference on human computer …, 2011	67	2011
Pediluma: motivating physical activity through contextual information and social influence BY Lim, A Shick, C Harrison, SE Hudson Proceedings of the fifth international conference on Tangible, embedded, and …, 2010	59	2010
RecGAN: recurrent generative adversarial networks for recommendation systems H Bharadhwaj, H Park, BY Lim Proceedings of the 12th ACM Conference on Recommender Systems, 372-376, 2018	53	2018
COGAM: Measuring and Moderating Cognitive Load in Machine Learning Model Explanations A Abdul, C von der Weth, M Kankanhalli, BY Lim Proceedings of the 2020 CHI conference on human factors in computing systems, 2020	47	2020
Sparse mobile crowdsensing with differential and distortion location privacy L Wang, D Zhang, D Yang, BY Lim, X Han, X Ma IEEE Transactions on Information Forensics and Security 15, 2735-2749, 2020	45	2020
TableChat: mobile food journaling to facilitate family support for healthy eating K Lukoff, T Li, Y Zhuang, BY Lim Proceedings of the ACM on Human-Computer Interaction 2 (CSCW), 1-28, 2018	34	2018
Why these Explanations? Selecting Intelligibility Types for Explanation Goals. BY Lim, Q Yang, AM Abdul, D Wang IUI Workshop on Explainable Smart Systems (ExSS), 2019	31	2019
Allocating heterogeneous tasks in participatory sensing with diverse participant-side factors J Wang, F Wang, Y Wang, D Zhang, B Lim, L Wang IEEE Transactions on Mobile Computing 18 (9), 1979-1991, 2018	31	2018
Improving Understanding and Trust with Intelligibility in Context-Aware Applications BY Lim Carnegie Mellon University, 2012	31	2012
Evaluating intelligibility usage and usefulness in a context-aware application BY Lim, AK Dey International Conference on Human-Computer Interaction, 92-101, 2013	25	2013
Flexi-Sharing: A Flexible and Personalized Taxi-Sharing System Y Lyu, VCS Lee, JKY Ng, BY Lim, K Liu, C Chen IEEE Transactions on Vehicular Technology 68 (10), 9399-9413, 2019	18	2019
Show me a good time: using content to provide activity awareness to collaborators with ActivitySpotter BY Lim, O Brdiczka, V Bellotti Proceedings of the 16th ACM international conference on Supporting group …, 2010	17	2010

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