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Books and Theses
- 2015
[b1]Brian Y. Lim:
Improving Understanding and Trust with Intelligibility in Context-Aware Applications. Carnegie Mellon University, USA, 2015
Journal Articles
- 2024
- [j10]Yan Lyu
, Hangxin Lu, Min Kyung Lee, Gerhard Schmitt, Brian Y. Lim:
IF-City: Intelligible Fair City Planning to Measure, Explain and Mitigate Inequality. IEEE Trans. Vis. Comput. Graph. 30(7): 3749-3766 (2024) - 2023
- [j9]Mario Michelessa, Christophe Hurter, Brian Y. Lim, Jamie Ng Suat Ling, Bogdan Cautis, Carol Anne Hargreaves:
Visual Explanations of Differentiable Greedy Model Predictions on the Influence Maximization Problem. Big Data Cogn. Comput. 7(3): 149 (2023) - 2021
- [j8]Danding Wang, Wencan Zhang, Brian Y. Lim:
Show or suppress? Managing input uncertainty in machine learning model explanations. Artif. Intell. 294: 103456 (2021) - [j7]Yan Lyu, Fan Gao, I-Shuen Wu, Brian Y. Lim:
Imma Sort by Two or More Attributes With Interpretable Monotonic Multi-Attribute Sorting. IEEE Trans. Vis. Comput. Graph. 27(4): 2369-2384 (2021) - 2020
- [j6]Leye Wang, Daqing Zhang, Dingqi Yang, Brian Y. Lim, Xiao Han, Xiaojuan Ma:
Sparse Mobile Crowdsensing With Differential and Distortion Location Privacy. IEEE Trans. Inf. Forensics Secur. 15: 2735-2749 (2020) - [j5]Yan Lyu, Xu Liu, Hanyi Chen, Arpan Mangal, Kai Liu, Chao Chen, Brian Y. Lim:
OD Morphing: Balancing Simplicity with Faithfulness for OD Bundling. IEEE Trans. Vis. Comput. Graph. 26(1): 811-821 (2020) - 2019
- [j4]Brian Y. Lim, Judy Kay, Weilong Liu:
How Does a Nation Walk?: Interpreting Large-Scale Step Count Activity with Weekly Streak Patterns. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(2): 57:1-57:46 (2019) - [j3]Jiangtao Wang, Feng Wang, Yasha Wang, Daqing Zhang, Brian Y. Lim, Leye Wang:
Allocating Heterogeneous Tasks in Participatory Sensing with Diverse Participant-Side Factors. IEEE Trans. Mob. Comput. 18(9): 1979-1991 (2019) - [j2]Yan Lyu, Victor C. S. Lee, Joseph Kee-Yin Ng, Brian Y. Lim, Kai Liu, Chao Chen:
Flexi-Sharing: A Flexible and Personalized Taxi-Sharing System. IEEE Trans. Veh. Technol. 68(10): 9399-9413 (2019) - 2018
- [j1]Kai Lukoff, Taoxi Li, Yuan Zhuang, Brian Y. Lim:
TableChat: Mobile Food Journaling to Facilitate Family Support for Healthy Eating. Proc. ACM Hum. Comput. Interact. 2(CSCW): 114:1-114:28 (2018)
Conference and Workshop Papers
- 2024
- [c42]Jessica Y. Bo, Pan Hao, Brian Y. Lim:
Incremental XAI: Memorable Understanding of AI with Incremental Explanations. CHI 2024: 315:1-315:17 - 2023
- [c41]Yunlong Wang, Shuyuan Shen, Brian Y. Lim:
RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions. CHI 2023: 22:1-22:29 - [c40]Hitoshi Matsuyama, Nobuo Kawaguchi, Brian Y. Lim:
IRIS: Interpretable Rubric-Informed Segmentation for Action Quality Assessment. IUI 2023: 368-378 - 2022
- [c39]Lena Mamykina, Daniel A. Epstein, Predrag V. Klasnja, Donna Sprujt-Metz, Jochen Meyer, Mary Czerwinski, Tim Althoff, Eun Kyoung Choe, Munmun De Choudhury, Brian Y. Lim:
Grand Challenges for Personal Informatics and AI. CHI Extended Abstracts 2022: 76:1-76:6 - [c38]Wencan Zhang, Brian Y. Lim:
Towards Relatable Explainable AI with the Perceptual Process. CHI 2022: 181:1-181:24 - [c37]Wencan Zhang, Mariella Dimiccoli, Brian Y. Lim:
Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning. CHI 2022: 182:1-182:32 - [c36]Yunlong Wang, Priyadarshini Venkatesh, Brian Y. Lim:
Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation. CHI 2022: 183:1-183:28 - [c35]Tsvi Kuflik, Jonathan Dodge, Styliani Kleanthous Loizou, Brian Y. Lim, Carina Negreanu, Avital Shulner-Tal, Simone Stumpf:
TExSS 22: Transparency and Explanations in Smart Systems. IUI Companion 2022: 16-17 - 2021
- [c34]Samuel Rhys Cox, Yunlong Wang, Ashraf M. Abdul, Christian von der Weth, Brian Y. Lim:
Directed Diversity: Leveraging Language Embedding Distances for Collective Creativity in Crowd Ideation. CHI 2021: 393:1-393:35 - [c33]Xuejun Zhao, Wencan Zhang, Xiaokui Xiao, Brian Y. Lim:
Exploiting Explanations for Model Inversion Attacks. ICCV 2021: 662-672 - [c32]Alison Marie Smith-Renner, Styliani Kleanthous Loizou, Jonathan Dodge, Casey Dugan, Min Kyung Lee, Brian Y. Lim, Tsvi Kuflik, Advait Sarkar, Avital Shulner-Tal, Simone Stumpf:
TExSS: Transparency and Explanations in Smart Systems. IUI Companion 2021: 24-25 - 2020
- [c31]Guang Jiang, Mengzhen Shi, Pengcheng An, Ying Su, Yunlong Wang, Brian Y. Lim:
NaMemo: Enhancing Lecturers' Interpersonal Competence of Remembering Students' Names. Conference on Designing Interactive Systems (Companion Volume) 2020: 305-311 - [c30]Ashraf M. Abdul, Christian von der Weth, Mohan S. Kankanhalli, Brian Y. Lim:
COGAM: Measuring and Moderating Cognitive Load in Machine Learning Model Explanations. CHI 2020: 1-14 - [c29]Alison Smith-Renner, Styliani Kleanthous, Brian Y. Lim, Tsvi Kuflik, Simone Stumpf, Jahna Otterbacher, Advait Sarkar, Casey Dugan, Avital Shulner-Tal:
ExSS-ATEC: Explainable Smart Systems for Algorithmic Transparency in Emerging Technologies 2020. IUI Companion 2020: 7-8 - [c28]Alison Smith-Renner, Styliani Kleanthous, Brian Y. Lim, Tsvi Kuflik, Simone Stumpf, Jahna Otterbacher, Advait Sarkar, Casey Dugan, Avital Shulner-Tal:
ExSS-ATEC: Explainable Smart Systems and Algorithmic Transparency in Emerging Technlologies 2020 (workshop abstract). ExSS-ATEC@IUI 2020 - 2019
- [c27]Danding Wang, Qian Yang, Ashraf M. Abdul, Brian Y. Lim:
Designing Theory-Driven User-Centric Explainable AI. CHI 2019: 601 - [c26]Homin Park, Homanga Bharadhwaj, Brian Y. Lim:
Hierarchical Multi-Task Learning for Healthy Drink Classification. IJCNN 2019: 1-8 - [c25]Tom Gross, Kori Inkpen, Brian Y. Lim, Michael Veale:
The Human(s) in the Loop - Bringing AI and HCI Together. INTERACT (4) 2019: 731-734 - [c24]Brian Y. Lim, Advait Sarkar, Alison Smith-Renner, Simone Stumpf:
ExSS: explainable smart systems 2019. IUI Companion 2019: 125-126 - [c23]Brian Y. Lim, Qian Yang, Ashraf M. Abdul, Danding Wang:
Why these Explanations? Selecting Intelligibility Types for Explanation Goals. IUI Workshops 2019 - 2018
- [c22]Ashraf M. Abdul, Jo Vermeulen, Danding Wang, Brian Y. Lim, Mohan S. Kankanhalli:
Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda. CHI 2018: 582 - [c21]Brian Y. Lim, Danding Wang, Tze Ping Loh, Kee Yuan Ngiam:
Interpreting Intelligibility under Uncertain Data Imputation. IUI Workshops 2018 - [c20]Homanga Bharadhwaj, Homin Park, Brian Y. Lim:
RecGAN: recurrent generative adversarial networks for recommendation systems. RecSys 2018: 372-376 - 2017
- [c19]Brian Y. Lim, Xinni Chng, Shengdong Zhao:
Trade-off between Automation and Accuracy in Mobile Photo Recognition Food Logging. CCHI 2017: 53-59 - 2016
- [c18]Leye Wang, Daqing Zhang, Dingqi Yang, Brian Y. Lim, Xiaojuan Ma:
Differential Location Privacy for Sparse Mobile Crowdsensing. ICDM 2016: 1257-1262 - 2013
- [c17]Brian Y. Lim, Anind K. Dey:
Evaluating Intelligibility Usage and Usefulness in a Context-Aware Application. HCI (5) 2013: 92-101 - 2012
- [c16]Charles Gouin-Vallerand, Brian Y. Lim, Anind K. Dey:
Software provision in smart environment based on fuzzy logic intelligibility. UbiComp 2012: 774-777 - [c15]Brian Y. Lim, Anind K. Dey:
Weights of evidence for intelligible smart environments. UbiComp 2012: 782-785 - 2011
- [c14]Brian Y. Lim, Anind K. Dey:
Investigating intelligibility for uncertain context-aware applications. UbiComp 2011: 415-424 - [c13]Brian Y. Lim, Anind K. Dey:
Design of an intelligible mobile context-aware application. Mobile HCI 2011: 157-166 - [c12]Brian Y. Lim, Aubrey Shick, Chris Harrison, Scott E. Hudson:
Pediluma: motivating physical activity through contextual information and social influence. TEI 2011: 173-180 - 2010
- [c11]Brian Y. Lim, Oliver Brdiczka, Victoria Bellotti:
Show me a good time: using content to provide activity awareness to collaborators with activityspotter. GROUP 2010: 263-272 - [c10]Brian Y. Lim, Anind K. Dey:
Toolkit to support intelligibility in context-aware applications. UbiComp 2010: 13-22 - [c9]Brian Y. Lim:
Improving trust in context-aware applications with intelligibility. UbiComp (Adjunct Papers) 2010: 477-480 - 2009
- [c8]Chris Harrison, Brian Y. Lim, Aubrey Shick, Scott E. Hudson:
Where to locate wearable displays?: reaction time performance of visual alerts from tip to toe. CHI 2009: 941-944 - [c7]Brian Y. Lim, Anind K. Dey, Daniel Avrahami:
Why and why not explanations improve the intelligibility of context-aware intelligent systems. CHI 2009: 2119-2128 - [c6]E. Ilana Diamant, Brian Y. Lim, Andy Echenique, Gilly Leshed, Susan R. Fussell:
Supporting intercultural collaboration with dynamic feedback systems: preliminary evidence from a creative design task. CHI Extended Abstracts 2009: 3997-4002 - [c5]Brian Y. Lim, Anind K. Dey:
Assessing demand for intelligibility in context-aware applications. UbiComp 2009: 195-204 - 2007
- [c4]Manli Zhu, Daqing Zhang, Jun Zhang, Brian Y. Lim:
Context-Aware Informative Display. ICME 2007: 324-327 - [c3]Brian Y. Lim, Daqing Zhang, Manli Zhu, Song Zheng:
Context-Aware Framework for Spontaneous Interaction of Services in Multiple Heterogeneous Spaces. ICME 2007: 328-331 - [c2]Daqing Zhang, Brian Y. Lim, Manli Zhu, Song Zheng:
Supporting Impromptu Service Discovery and Access in Heterogeneous Assistive Environments. ICOST 2007: 238-246 - [c1]Brian Y. Lim, Daqing Zhang, Manli Zhu, Song Zheng, Mounir Mokhtari:
Spontaneous Interaction Framework for Thin-Client Access to Services. UIC 2007: 173-183
Editorship
- 2020
- [e1]Alison Smith-Renner, Styliani Kleanthous, Brian Y. Lim, Tsvi Kuflik, Simone Stumpf, Jahna Otterbacher, Advait Sarkar, Casey Dugan, Avital Shulner-Tal:
Proceedings of the Workshop on Explainable Smart Systems for Algorithmic Transparency in Emerging Technologies co-located with 25th International Conference on Intelligent User Interfaces (IUI 2020), Cagliari, Italy, March 17, 2020. CEUR Workshop Proceedings 2582, CEUR-WS.org 2020 [contents]
Informal and Other Publications
- 2024
- [i12]Jessica Y. Bo, Pan Hao, Brian Y. Lim:
Incremental XAI: Memorable Understanding of AI with Incremental Explanations. CoRR abs/2404.06733 (2024) - 2023
- [i11]Brian Y. Lim, Joseph P. Cahaly, Chester Y. F. Sng, Adam Chew:
Diagrammatization: Rationalizing with diagrammatic AI explanations for abductive reasoning on hypotheses. CoRR abs/2302.01241 (2023) - [i10]Yunlong Wang, Shuyuan Shen, Brian Y. Lim:
RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions. CoRR abs/2302.09466 (2023) - [i9]Hitoshi Matsuyama, Nobuo Kawaguchi, Brian Y. Lim:
IRIS: Interpretable Rubric-Informed Segmentation for Action Quality Assessment. CoRR abs/2303.09097 (2023) - 2022
- [i8]Yan Lyu, Hangxin Lu, Min Kyung Lee, Gerhard Schmitt, Brian Y. Lim:
IF-City: Intelligible Fair City Planning to Measure, Explain and Mitigate Inequality. CoRR abs/2202.07349 (2022) - 2021
- [i7]Samuel Rhys Cox, Yunlong Wang, Ashraf M. Abdul, Christian von der Weth, Brian Y. Lim:
Directed Diversity: Leveraging Language Embedding Distances for Collective Creativity in Crowd Ideation. CoRR abs/2101.06030 (2021) - [i6]Danding Wang, Wencan Zhang, Brian Y. Lim:
Show or Suppress? Managing Input Uncertainty in Machine Learning Model Explanations. CoRR abs/2101.09498 (2021) - [i5]Xuejun Zhao, Wencan Zhang, Xiaokui Xiao, Brian Y. Lim:
Exploiting Explanations for Model Inversion Attacks. CoRR abs/2104.12669 (2021) - [i4]Yunlong Wang, Priyadarshini Venkatesh, Brian Y. Lim:
Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation. CoRR abs/2109.10149 (2021) - [i3]Yunlong Wang, Jiaying Liu, Homin Park, Jordan Schultz-McArdle, Stephanie Rosenthal, Brian Y. Lim:
SalienTrack: providing salient information for semi-automated self-tracking feedback with model explanations. CoRR abs/2109.10231 (2021) - [i2]Wencan Zhang, Brian Y. Lim:
Towards Relatable Explainable AI with the Perceptual Process. CoRR abs/2112.14005 (2021) - 2020
- [i1]Wencan Zhang, Mariella Dimiccoli, Brian Y. Lim:
Debiased-CAM for bias-agnostic faithful visual explanations of deep convolutional networks. CoRR abs/2012.05567 (2020)
Coauthor Index
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