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Krzysztof Gajos
Krzysztof Gajos
Professor of Computer Science, Harvard University
Verified email at eecs.harvard.edu - Homepage
Title
Cited by
Cited by
Year
SUPPLE: automatically generating user interfaces
K Gajos, DS Weld
Proceedings of the 9th international conference on Intelligent user …, 2004
5882004
Ability-based design: Concept, principles and examples
JO Wobbrock, SK Kane, KZ Gajos, S Harada, J Froehlich
ACM Transactions on Accessible Computing (TACCESS) 3 (3), 1-27, 2011
5832011
Understanding in-video dropouts and interaction peaks inonline lecture videos
J Kim, PJ Guo, DT Seaton, P Mitros, KZ Gajos, RC Miller
Proceedings of the first ACM conference on Learning@ scale conference, 31-40, 2014
5122014
Predicting users' first impressions of website aesthetics with a quantification of perceived visual complexity and colorfulness
K Reinecke, T Yeh, L Miratrix, R Mardiko, Y Zhao, J Liu, KZ Gajos
Proceedings of the SIGCHI conference on human factors in computing systems …, 2013
4032013
To trust or to think: cognitive forcing functions can reduce overreliance on AI in AI-assisted decision-making
Z Buçinca, MB Malaya, KZ Gajos
Proceedings of the ACM on Human-Computer Interaction 5 (CSCW1), 1-21, 2021
3872021
Automatically generating personalized user interfaces with Supple
KZ Gajos, DS Weld, JO Wobbrock
Artificial intelligence 174 (12-13), 910-950, 2010
3752010
The efficacy of Web-based cognitive behavioral interventions for chronic pain: a systematic review and meta-analysis
DD Macea, K Gajos, YAD Calil, F Fregni
The Journal of Pain 11 (10), 917-929, 2010
3582010
Platemate: crowdsourcing nutritional analysis from food photographs
J Noronha, E Hysen, H Zhang, KZ Gajos
Proceedings of the 24th annual ACM symposium on User interface software and …, 2011
3322011
Opportunity knocks: A system to provide cognitive assistance with transportation services
DJ Patterson, L Liao, K Gajos, M Collier, N Livic, K Olson, S Wang, D Fox, ...
UbiComp 2004: Ubiquitous Computing: 6th International Conference, Nottingham …, 2004
2822004
Exploring the design space for adaptive graphical user interfaces
KZ Gajos, M Czerwinski, DS Tan, DS Weld
Proceedings of the working conference on Advanced visual interfaces, 201-208, 2006
2772006
Proxy tasks and subjective measures can be misleading in evaluating explainable AI systems
Z Buçinca, P Lin, KZ Gajos, EL Glassman
Proceedings of the 25th international conference on intelligent user …, 2020
2562020
Improving the performance of motor-impaired users with automatically-generated, ability-based interfaces
KZ Gajos, JO Wobbrock, DS Weld
Proceedings of the SIGCHI conference on Human Factors in Computing Systems …, 2008
2552008
Automatically generating user interfaces adapted to users' motor and vision capabilities
KZ Gajos, JO Wobbrock, DS Weld
Proceedings of the 20th annual ACM symposium on User interface software and …, 2007
2272007
Crowdsourcing performance evaluations of user interfaces
S Komarov, K Reinecke, KZ Gajos
Proceedings of the SIGCHI conference on human factors in computing systems …, 2013
2222013
Evaluation of artery visualizations for heart disease diagnosis
M Borkin, K Gajos, A Peters, D Mitsouras, S Melchionna, F Rybicki, ...
IEEE transactions on visualization and computer graphics 17 (12), 2479-2488, 2011
2152011
Human computation tasks with global constraints
H Zhang, E Law, R Miller, K Gajos, D Parkes, E Horvitz
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems …, 2012
2132012
Axis: Generating explanations at scale with learnersourcing and machine learning
JJ Williams, J Kim, A Rafferty, S Maldonado, KZ Gajos, WS Lasecki, ...
Proceedings of the third (2016) ACM conference on learning@ scale, 379-388, 2016
2042016
Quantifying visual preferences around the world
K Reinecke, KZ Gajos
Proceedings of the SIGCHI conference on human factors in computing systems …, 2014
1962014
Predictability and accuracy in adaptive user interfaces
KZ Gajos, K Everitt, DS Tan, M Czerwinski, DS Weld
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems …, 2008
1922008
How machine-learning recommendations influence clinician treatment selections: the example of antidepressant selection
M Jacobs, MF Pradier, TH McCoy Jr, RH Perlis, F Doshi-Velez, KZ Gajos
Translational psychiatry 11 (1), 108, 2021
1902021
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Articles 1–20