Gajos, Krzysztof Z.

To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making

Buçinca, Z., Malaya, M. B., & Gajos, K. Z. (2021) · arXiv

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 1,124

Automatically generating personalized user interfaces with Supple

Gajos, K. Z., Weld, D. S., & Wobbrock, J. O. (2010) · Artificial Intelligence

Usability and User Interface DesignDigital Accessibility for Disabilities

Cited by 317

Proxy tasks and subjective measures can be misleading in evaluating explainable AI systems

Buçinca, Z., Lin, P., Gajos, K. Z., & Glassman, E. L. (2020) · Proceedings of the 25th International Conference on Intelligent User Interfaces

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 307

The Efficacy of Web-Based Cognitive Behavioral Interventions for Chronic Pain: A Systematic Review and Meta-Analysis

Macea, D. D., Gajos, K., Daglia Calil, Y. A., & Fregni, F. (2010) · The Journal of Pain

Digital Mental Health InterventionsMusculoskeletal pain and rehabilitation

Cited by 289

How machine-learning recommendations influence clinician treatment selections: the example of antidepressant selection

Jacobs, M., Pradier, M. F., McCoy, T. H., Perlis, R. H., Doshi-Velez, F., & Gajos, K. Z. (2021) · Translational Psychiatry

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

Cited by 247

Exploring the design space for adaptive graphical user interfaces

Gajos, K. Z., Czerwinski, M., Tan, D. S., & Weld, D. S. (2006) · Proceedings of the working conference on Advanced visual interfaces - AVI '06

Usability and User Interface DesignInteractive and Immersive Displays

Cited by 198

Designing AI for Trust and Collaboration in Time-Constrained Medical Decisions: A Sociotechnical Lens

Jacobs, M., He, J., F. Pradier, M., Lam, B., Ahn, A. C., McCoy, T. H., Perlis, R. H., Doshi-Velez, F., & Gajos, K. Z. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems

Cited by 177

Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental Learning

Gajos, K. Z., & Mamykina, L. (2022) · 27th International Conference on Intelligent User Interfaces

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 127

Providing Timely Examples Improves the Quantity and Quality of Generated Ideas

Siangliulue, P., Chan, J., Gajos, K. Z., & Dow, S. P. (2015) · Proceedings of the 2015 ACM SIGCHI Conference on Creativity and Cognition

Design Education and PracticeCreativity in Education and Neuroscience

Cited by 99

Predictive text encourages predictable writing

Arnold, K. C., Chauncey, K., & Gajos, K. Z. (2020) · Proceedings of the 25th International Conference on Intelligent User Interfaces

Usability and User Interface DesignDigital Communication and Language

Cited by 87

Acceptance of mobile technology by older adults: a preliminary study

Kim, S., Gajos, K. Z., Muller, M., & Grosz, B. J. (2016) · Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services

Technology Use by Older AdultsTechnology Adoption and User Behaviour

Cited by 79

On Suggesting Phrases vs. Predicting Words for Mobile Text Composition

Arnold, K. C., Gajos, K. Z., & Kalai, A. T. (2016) · Proceedings of the 29th Annual Symposium on User Interface Software and Technology

Usability and User Interface DesignInteractive and Immersive Displays

Cited by 69

Goal Crossing with Mice and Trackballs for People with Motor Impairments

Wobbrock, J. O., & Gajos, K. Z. (2008) · ACM Transactions on Accessible Computing

Interactive and Immersive DisplaysGaze Tracking and Assistive Technology

Cited by 68

The Influence of Personality Traits and Cognitive Load on the Use of Adaptive User Interfaces

Gajos, K. Z., & Chauncey, K. (2017) · Proceedings of the 22nd International Conference on Intelligent User Interfaces

Usability and User Interface DesignIntelligent Tutoring Systems and Adaptive Learning

Cited by 57

Accuracy-Time Tradeoffs in AI-Assisted Decision Making under Time Pressure

Swaroop, S., Buçinca, Z., Gajos, K. Z., & Doshi-Velez, F. (2024) · Proceedings of the 29th International Conference on Intelligent User Interfaces

Human-Automation Interaction and SafetyExplainable Artificial Intelligence (XAI)

Cited by 49

Sentiment Bias in Predictive Text Recommendations Results in Biased Writing

Arnold, K., Chauncey, K., & Gajos, K. (2018) · Canadian Human-Computer Communications Society / Société canadienne du dialogue humain-machine

Ethics and Social Impacts of AIInnovative Human-Technology Interaction

Cited by 31

Personalising AI Assistance Based on Overreliance Rate in AI-Assisted Decision Making

Swaroop, S., Buçinca, Z., Gajos, K. Z., & Doshi-Velez, F. (2025) · Proceedings of the 30th International Conference on Intelligent User Interfaces

Human-Automation Interaction and SafetyEthics and Social Impacts of AI

Cited by 20

Ask Me or Tell Me? Enhancing the Effectiveness of Crowdsourced Design Feedback

Lekschas, F., Ampanavos, S., Siangliulue, P., Pfister, H., & Gajos, K. Z. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignMobile Crowdsensing and Crowdsourcing

Cited by 14

To Recommend or Not to Recommend: Designing and Evaluating AI-Enabled Decision Support for Time-Critical Medical Events

Mastrianni, A., Kim, M. S., Sullivan, T. M., Sippel, G. J., Burd, R. S., Gajos, K. Z., & Sarcevic, A. (2025) · Proceedings of the ACM on Human-Computer Interaction

Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems

Cited by 6

Towards Optimizing Human-Centric Objectives in AI-Assisted Decision-Making With Offline Reinforcement Learning

Buçinca, Z., Swaroop, S., Paluch, A. E., Murphy, S. A., & Gajos, K. Z. (2024) · arXiv

Human-Automation Interaction and SafetyReinforcement Learning in Robotics

Cited by 2

Generative AI in the Software Engineering Domain: Tensions of Occupational Identity and Patterns of Identity Protection

Schmitt, A., Gajos, K. Z., & Mokryn, O. (2024) · arXiv

Information Systems Theories and ImplementationInnovative Education and Learning Practices

Cited by 1