2024

• Jessica Y. Bo, Pan Hao, and Brian Y. Lim. 2024. Incremental XAI: Memorable Understanding of AI with Incremental Explanations. In Proceedings of the international Conference on Human Factors in Computing Systems. CHI ’24.

2023

• Yunlong Wang, Shuyuan Shen, and Brian Y. Lim. 2023. RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions. In Proceedings of the international Conference on Human Factors in Computing Systems. CHI ’23.
• Brian Y. Lim*, Joseph P. Cahaly, Chester Y. F. Sng, Adam Chew. 2023. Diagrammatization: Rationalizing with diagrammatic AI explanations for abductive reasoning on hypotheses. arxiv.org/abs/2302.01241.
• Hitoshi Matsuyama, Nobuo Kawaguchi, and Brian Y Lim. 2023. IRIS: Interpretable Rubric-Informed Segmentation for Action Quality Assessment. In Proceedings of the 28th International Conference on Intelligent User Interfaces (IUI 2023).
• Yan Lyu, Hangxin Lu, Min Kyung Lee, Gerhard Schmitt, and Brian Y Lim. 2023. IF-City: Intelligible Fair City Planning to Measure, Explain and Mitigate Inequality. IEEE Transactions on Visualization and Computer Graphics (TVCG).

2022

• Wencan Zhang and Brian Y. Lim. 2022. Towards Relatable Explainable AI with the Perceptual Process. In Proceedings of the international Conference on Human Factors in Computing Systems. CHI ’22. Best Paper Award (Top 1%).
• Wencan Zhang, Mariella Dimiccoli, and Brian Y. Lim. 2022. Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning. In Proceedings of the international Conference on Human Factors in Computing Systems. CHI ’22.
• Yunlong Wang, Priyadarshini Venkatesh, and Brian Y. Lim. 2022. Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation. In Proceedings of the international Conference on Human Factors in Computing Systems. CHI ’22.

2021

• Yunlong Wang, Jiaying Liu, Homin Park, Jordan Schultz-McArdle, Stephanie Rosenthal, Brian Y Lim. 2021. SalienTrack: providing salient information for semi-automated self-tracking feedback with model explanations. arxiv.org/abs/2109.10231.
• Xuejun Zhao, Wencan Zhang, Xiaokui Xiao, and Brian Y. Lim. 2021. Exploiting Explanations for Model Inversion Attacks. IEEE International Conference on Computer Vision (ICCV).
• Danding Wang, Wencan Zhang, Brian Y. Lim. 2021. Show or Suppress? Managing Input Uncertainty in Machine Learning Model Explanations. Artificial Intelligence.
• Samuel R. Cox, Yunlong Wang, Ashraf Abdul, Christian von der Werth, Brian Y. Lim. 2021. Directed Diversity: Leveraging Language Embedding Distances for Collective Creativity in Crowd Ideation. In Proceedings of the international Conference on Human Factors in Computing Systems. CHI ’21.

2020

• Wencan Zhang, Mariella Dimiccoli and Brian Y. Lim. 2020. Debiased-CAM for bias-agnostic faithful visual explanations of deep convolutional networks. arXiv:2201.12835.
• Yan Lyu, Fan Gao, I-Shuen Wu, and Brian Y. Lim. 2020. Imma Sort by two or more attributes with Interpretable Monotonic Multi-Attribute Sorting. Accepted to IEEE Transactions on Visualization and Computer Graphics (TVCG).
• Guang Jiang, Mengzhen Shi, Pengcheng An, Ying Su, Yunlong Wang, and Brian Y Lim. 2020. NaMemo: Enhancing Lecturers’ Interpersonal Competence of Remembering Students’ Names. In Companion Publication of the 2020 ACM on Designing Interactive Systems Conference. DIS Workshop ’20.
• Leye Wang, Daqing Zhang, Dingqi Yang, Brian Y Lim, Xiao Han, Xiaojuan Ma. 2020. Sparse Mobile Crowdsensing With Differential and Distortion Location Privacy. In IEEE Transactions on Information Forensics and Security.
• Abdul, A., von der Weth, C., Kankanhalli, M., and Lim, B. Y. 2020. COGAM: Measuring and Moderating Cognitive Load in Machine Learning Model Explanations. In Proceedings of the international Conference on Human Factors in Computing Systems. CHI ’20.

2019

• Yan Lyu, Victor CS Lee, Joseph Kee-Yin Ng, Brian Y Lim, Kai Liu, Chao Chen. 2019. Flexi-Sharing: A Flexible and Personalized Taxi-Sharing System. In IEEE Transactions on Vehicular Technology.
• Heidi Fuchs, Arman Shehabi, Mohan Ganeshalingam, Louis-Benoit Desroches, Brian Lim, Kurt Roth, Allen Tsao. 2019. Comparing datasets of volume servers to illuminate their energy use in data centers. Energy Efficiency, 1-14.
• Lyu, Y., Liu, X., Chen, H., Mangal, A., Liu, K., Chen, C., and Lim, B. Y. (corresponding author). 2019.
  OD Morphing: balancing simplicity with faithfulness for OD bundling.
  Accepted to IEEE Transactions on Visualization and Computer Graphics (TVCG).
• Lim, B. Y.*, Kay, J., and Liu, W. 2019.
  How does a nation walk? Interpreting large-scale step count activity with weekly streak patterns.
  In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). IMWUT Vol. 3 Distinguished Paper Award (Top 6 of 166).
• Vermeulen, J., Lim, B. Y., Avdic, M., Wang, D., and Abdul., A. 2019.
  The Curious Case of Providing Intelligibility for Smart Speakers.
  In CHI 2019 Workshop on Where is the Human? Bridging the Gap Between AI and HCI.
• Park, H., Bharadhwaj, H., and Lim, B. Y. 2019.
  Hierarchical Multi-Task Learning for Healthy Drink Classification.
  In Proceedings of the International Joint Conference on Neural Networks (IJCNN).
• Lim, B. Y., Yang, Q., Abdul, A. and Wang, D. 2019.
  Why these Explanations? Selecting Intelligibility Types for Explanation Goals.
  In IUI 2019 Second Workshop on Explainable Smart Systems (ExSS 2019).
• Wang, D., Yang, Q., Abdul, A., Lim, B. Y. 2019.
  Designing Theory-Driven User-Centric Explainable AI.
  In Proceedings of the international Conference on Human Factors in Computing Systems. CHI ’19.
• Yang, Z., Tan, E.H., Li, Y., Lim, B., Metz, M., Loh, T.P.
  2019.
  Relative criticalness of common laboratory tests for critical value reporting.
  In Journal of Clinical Pathology.

2018

• Wang, J., Wang, F., Wang, Y., Zhang D., Lim, B., and Wang, L. 2018.
  Allocating Heterogeneous Tasks in Participatory Sensing with Diverse Participant-Side Factors.
  In IEEE Transactions on Mobile Computing (TMC).

• Lukoff, K., Li, T., Zhuang, Y., & Lim, B. Y.. 2018.
  TableChat: Mobile Food Journaling to Facilitate Family Support for Healthy Eating.
  In Proceedings of the ACM Conference on Computer Supported Cooperative Work. CSCW ’18.
• Bharadhwaj, H., Park, H., Lim, B. Y.. 2018.
  RecGAN: Recurrent Generative Adversarial Networks for Recommendation Systems.
  In Proceedings of the ACM Conference on Recommender Systems. RecSys ’18.
• Fuchs, H., Shehabi, A., Ganeshalingam, M., Desroches, L., Lim, B., Roth, K., Tsao A. 2018.
  Characteristics and Energy Use of Volume Servers in the U.S.
  In ACEEE Summer Study 2018.
• Abdul, A., Vermeulen, J., Wang, D., Lim, B. Y. (corresponding author), Kankanhalli, M. 2018.
  Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda.
  In Proceedings of the international Conference on Human Factors in Computing Systems. CHI ’18.
• Lim, B. Y., Wang, D., Loh, T. P., and Ngiam, K. Y. 2018.
  Interpreting Intelligibility under Uncertain Data Imputation.
  In IUI 2018 Workshop on Explainable Smart Systems (ExSS 2018).
• Lim, B. Y., Smith, A., Stumpf, S. 2018.
  ExSS 2018: Workshop on Explainable Smart Systems.
  In Workshop at IUI 2018.
• Park, H., Wang, Z., Kashyap, A., Lim, B. Y.. 2018.
  Biases in Food Photo Taking Behavior.
  In ACM CHI 2018 Workshop on Designing Recipes for Digital Food Lifestyles.

2017

• Lim, B. Y., Chng, X., Zhao, S. 2017.
  Trade-off between Automation and Accuracy in Mobile Photo Recognition Food Logging.
  In Proceedings of the Fifth International Symposium on Chinese CHI.
• Lim, B. Y., Ayalon, O., Toch, E. 2017.
  Reducing Communication Uncertainty with Social Intelligibility: Challenges and Opportunities.
  CHI 2017 Workshop on Designing for Uncertainty in HCI.

2016

• Wang, L., Zhang, D., Yang, D., Lim, B. Y., Ma, X. 2016.
  Differential Location Privacy for Sparse Mobile Crowdsensing.
  In IEEE International Conference on Data Mining 2016.

2015

• Urban, B., Shmakova, V., Lim, B. Y., Roth, K. 2015.
  Residential Consumer Electronics Energy Consumption in the United States.
  In Energy Efficiency in Domestic Appliances and Lighting 2015.

2014

• Lim, B. Y., Roth, K., Nambiar, S., Rayakota, H. 2014.
  Rapid Prototyping of Energy Management Applications with FRESH.
  In ACEEE Summer Study 2014.
• Roth, K., Shmakova, V., Urban, B., Lim, B. Y. 2014.
  Residential Consumer Electronics Energy Consumption in 2013.
  In ACEEE Summer Study 2014.

2013

• Fuchs, H., Shehabi, A., Ganeshalingam, M., Desroches, L. B., Lim, B., Roth, K., Tsao, A. 2017.
  Characteristics and Energy Use of Volume Servers in the United States.
  Technical Report by the Lawrence Berkeley National Laboratory (LBNL).
• Urban, B., Shmakova, V., Lim, B. Y., Roth, K. 2015.
  Energy Consumption of Consumer Electronics in U.S. Homes in 2013.
  Final Report to the Consumer Electronics Association (CEA) by Fraunhofer USA.
• Lim, B. Y., Dey, A. K. 2013.
  Evaluating Intelligibility Usage and Usefulness in a Context-Aware Application.
  In Human-Computer Interaction. Towards Intelligent and Implicit Interaction. Springer Berlin Heidelberg, 2013. 92-101.
• Lim, B. Y., Roth, K., Nambiar, S., Rayakota, H. 2013.
  FRESH: The Fraunhofer Experimental Smart Home Research Platform for Home Energy Management Applications.
  In MIT Energy Night 2013.

2012

• Lim, B. Y., Dey, A. K. 2012.
  Weights of Evidence for Intelligible Smart Environments.
  Ubicomp 2012 Workshop on Adaptable Service Delivery in Smart Environments.
• Lim, B. Y. 2012.
  Improving Understanding and Trust with Intelligibility in Context-Aware Applications.
  CMU-HCII Ph.D. Thesis.
• Lim, B. Y., Dey, A. K. 2012.
  Evaluating Intelligibility Usage and Usefulness in a Context-Aware Application
  CMU-HCII Technical Report.
• Lim, B. Y. and Dey, A. K. 2012.
  Field Evaluation of IM Autostatus, an Intelligible Context-Aware Application.
  CMU-HCII Technical Report.

2011

• Lim, B. Y., Dey, A. K. 2011.
  Investigating Intelligibility for Uncertain Context-Aware Applications.
  In Proceedings of the 13th international conference on Ubiquitous computing (UbiComp ’11). ACM, New York, NY, USA, 415-424. DOI=10.1145/2030112.2030168
• Lim, B. Y., Dey, A. K. 2011.
  Design of an Intelligible Mobile Context-Aware Application.
  In Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services (MobileHCI ’11). ACM, New York, NY, USA, 157-166. DOI=10.1145/2037373.2037399
• Lim, B. Y., Shick, A., Harrison, C., Hudson, S. E. 2011.
  Pediluma: Motivating Physical Activity Through Contextual Information and Social Influence.
  In Proceedings of the fifth international conference on Tangible, embedded, and embodied interaction (TEI ’11). ACM, New York, NY, USA, 173-180. DOI=10.1145/1935701.1935736.
• Vermeulen, J., Lim, B. Y., Kawsar, F. 2011.
  Pervasive Intelligibility: Workshop on Intelligibility and Control in Pervasive Computing.
  Pervasive 2011 Workshop on Intelligibility and Control in Pervasive Computing.

2010

• Lim, B. Y. 2010.
  Improving trust in context-aware applications with intelligibility.
  In Proceedings of the 12th ACM international Conference Adjunct Papers on Ubiquitous Computing (Copenhagen, Denmark, September 26 – 29, 2010). Ubicomp ’10.
  ACM, New York, NY, 477-480. DOI=10.1145/1864431.1864491.
• Lim, B. Y., Brdiczka, O., Bellotti, V. 2010.
  Show Me a Good Time: Using Content to Provide Activity Awareness to Collaborators with ActivitySpotter.
  In Proceedings of the 16th ACM international conference on Supporting group work (GROUP ’10). ACM, New York, NY, USA, 263-272. DOI=10.1145/1880071.1880115
• Lim, B. Y., Dey, A. K. 2010.
  Toolkit to Support Intelligibility in Context-Aware Applications.
  In Proceedings of the 12th ACM international Conference on Ubiquitous Computing (Copenhagen, Denmark, September 26 – 29, 2010). Ubicomp ’10. ACM, New York, NY, 13-22. DOI=10.1145/1864349.1864353.
  Poster for demo.

2009

• Lim, B. Y., Dey, A. K. 2009.
  Assessing Demand for Intelligibility in Context-Aware Applications.
  In Proceedings of the 11th international Conference on Ubiquitous Computing (Orlando, Florida, USA, September 30 – October 03, 2009). Ubicomp ’09. ACM, New York, NY, 195-204. DOI=10.1145/1620545.1620576.
• Lim, B. Y., Dey, A. K., Avrahami, D. 2009.
  Why and Why Not Explanations Improve the Intelligibility of Context-Aware Intelligent Systems.
  In Proceedings of the 27th international Conference on Human Factors in Computing Systems (Boston, MA, USA, April 04 – 09, 2009). CHI ’09. ACM, New York, NY, 2119-2128. DOI=10.1145/1518701.1519023.
  Best Paper Honourable Mention (Top 5%).
• Harrison, C., Lim, B. Y., Shick, A., Hudson, S. E. 2009.
  Where to Locate Wearable Displays? Reaction Time Performance of Visual Alerts from Tip to Toe.
  In Proceedings of the 27th international Conference on Human Factors in Computing Systems (Boston, MA, USA, April 04 – 09, 2009). CHI ’09. ACM, New York, NY, 941-944. DOI= a href=”http://doi.acm.org/10.1145/1518701.1518845″>10.1145/1518701.1518845.
  See Firefly.
• Diamant, E. I., Lim, B. Y., Echenique, A., Leshed, G., and Fussell, S. R. 2009.
  Supporting intercultural collaboration with dynamic feedback systems: preliminary evidence from a creative design task.
  In Proceedings of the 27th international Conference Extended Abstracts on Human Factors in Computing Systems (Boston, MA, USA, April 04 – 09, 2009). CHI EA ’09. ACM, New York, NY, 3997-4002. DOI=1520340.1520607

2008

• Lim, B. Y., Shick, A., Harrison, C. 2008.
  Personal-Public Displays: Motivating Behavior Change through Ambient Information and Social Pressure.
  CHI 2008 Workshop on Ambient Persuasion.
  See Pediluma

2007

• Lim, B. Y., Zhang, D., Zhu, M., Zheng, S. 2007.
  Spontaneous Interaction Framework for Thin-Client Access to Services.
  In Proceedings of UIC 2007.
• Zhu, M., Zhang, D., Zhang, J., Lim, B. Y. 2007.
  Context-Aware Informative Display.
  In Proceedings of ICME 2007.
• Lim, B.Y., Zhang, D., Zhu, M., Zheng, S. 2007.
  Context-Aware Framework for Spontaneous Interaction of Services in Multiple Heterogeneous Spaces.
  In Proceedings of ICME 2007.
• Zhang, D., Lim, B., Zhu, M., Zheng, S. 2007.
  Supporting Impromptu Service Discovery and Access in Heterogeneous Assistive Environments.
  In Proceedings of ICOST 2007.