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Krzysztof Z. Gajos

Krzysztof Z. Gajos

D-Index & Metrics

Computer Science

D-Index
54
Citations
11360
World Ranking
4582
National Ranking
2140

Research.com Recognitions

  • 2013 - Fellow of Alfred P. Sloan Foundation

Overview

Krzysztof Z. Gajos is affiliated with Harvard University in the United States. Their research spans multiple scientific fields with a focus on the intersection of artificial intelligence, cognitive neuroscience, and healthcare.

Their recent publications include work on decision-making processes, AI-assisted systems, and clinical reasoning. Notable papers are:

  • To Trust or to Think, 2021, Proceedings of the ACM on Human-Computer Interaction
  • How machine-learning recommendations influence clinician treatment selections: the example of antidepressant selection, 2021, Translational Psychiatry
  • To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making, 2021, arXiv (Cornell University)
  • Conducting online virtual environment experiments with uncompensated, unsupervised samples, 2020, PLoS ONE
  • Sex and age differences in "theory of mind" across 57 countries using the English version of the "Reading the Mind in the Eyes" Test, 2022, Proceedings of the National Academy of Sciences

The scientist collaborates frequently with several researchers, including Anoopum S. Gupta, Zana Buçinca, Bernd Huber, Vineet Pandey, and Maja Barbara Malaya. These collaborations reflect their engagement with a network of scholars across disciplines related to AI and cognitive studies.

Gajos's publication record features venues such as arXiv (Cornell University), Proceedings of the ACM on Human-Computer Interaction, Harvard Dataverse, Translational Psychiatry, and PLoS ONE. This range of publication venues highlights a multidisciplinary approach combining computer science, psychiatry, and experimental psychology.

Their work concentrates on key topics, including:

  • Explainable Artificial Intelligence (XAI)
  • Clinical Reasoning and Diagnostic Skills
  • Artificial Intelligence in Healthcare and Education
  • Decision-Making and Behavioral Economics
  • Data Visualization and Analytics
  • Evolutionary Psychology and Human Behavior
  • Genetic Neurodegenerative Diseases

Their research also covers multiple subfields such as Artificial Intelligence, Cognitive Neuroscience, Neurology, Sociology and Political Science, and Family Practice. This interdisciplinary orientation aligns with their focus on integrating AI technologies into healthcare and understanding human cognitive processes.

In 2013, Krzysztof Z. Gajos was recognized as a Fellow of the Alfred P. Sloan Foundation, indicating acknowledgment within the scientific community.

Best Publications

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

    Zana Buçinca;Maja Barbara Malaya;Krzysztof Z. Gajos

  • SUPPLE: automatically generating user interfaces

    Krzysztof Gajos;Daniel S. Weld

  • Ability-Based Design: Concept, Principles and Examples

    Jacob O. Wobbrock;Shaun K. Kane;Krzysztof Z. Gajos;Susumu Harada

  • Understanding in-video dropouts and interaction peaks inonline lecture videos

    Juho Kim;Philip J. Guo;Daniel T. Seaton;Piotr Mitros

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

    Zana Buçinca;Phoebe Lin;Krzysztof Z. Gajos;Elena L. Glassman

  • Predicting users' first impressions of website aesthetics with a quantification of perceived visual complexity and colorfulness

    Katharina Reinecke;Tom Yeh;Luke Miratrix;Rahmatri Mardiko

  • Automatically generating personalized user interfaces with Supple

    Krzysztof Z. Gajos;Daniel S. Weld;Jacob O. Wobbrock

  • The efficacy of Web-based cognitive behavioral interventions for chronic pain: a systematic review and meta-analysis

    Debora Duarte Macea;Debora Duarte Macea;Krzysztof Gajos;Yasser Armynd Daglia Calil;Felipe Fregni;Felipe Fregni

  • Platemate: crowdsourcing nutritional analysis from food photographs

    Jon Noronha;Eric Hysen;Haoqi Zhang;Krzysztof Z. Gajos

  • Opportunity Knocks: A System to Provide Cognitive Assistance with Transportation Services

    Donald J. Patterson;Lin Liao;Krzysztof Gajos;Michael Collier

  • Exploring the design space for adaptive graphical user interfaces

    Krzysztof Z. Gajos;Mary Czerwinski;Desney S. Tan;Daniel S. Weld

  • Automatically generating user interfaces adapted to users' motor and vision capabilities

    Krzysztof Z. Gajos;Jacob O. Wobbrock;Daniel S. Weld

  • Improving the performance of motor-impaired users with automatically-generated, ability-based interfaces

    Krzysztof Z. Gajos;Jacob O. Wobbrock;Daniel S. Weld

  • Evaluation of Artery Visualizations for Heart Disease Diagnosis

    M. Borkin;K. Gajos;A. Peters;D. Mitsouras

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

    Maia Jacobs;Melanie F. Pradier;Thomas H. McCoy;Roy H. Perlis

  • Crowdsourcing performance evaluations of user interfaces

    Steven Komarov;Katharina Reinecke;Krzysztof Z. Gajos

  • Human computation tasks with global constraints

    Haoqi Zhang;Edith Law;Rob Miller;Krzysztof Gajos

  • Predictability and accuracy in adaptive user interfaces

    Krzysztof Z. Gajos;Katherine Everitt;Desney S. Tan;Mary Czerwinski

  • Data-driven interaction techniques for improving navigation of educational videos

    Juho Kim;Philip J. Guo;Carrie J. Cai;Shang-Wen (Daniel) Li

  • Quantifying visual preferences around the world

    Katharina Reinecke;Krzysztof Z. Gajos

  • AXIS: Generating Explanations at Scale with Learnersourcing and Machine Learning

    Joseph Jay Williams;Juho Kim;Anna Rafferty;Samuel Maldonado

Frequent Co-Authors

Daniel S. Weld
Daniel S. Weld University of Washington
Hanspeter Pfister
Hanspeter Pfister Harvard University
Jacob O. Wobbrock
Jacob O. Wobbrock University of Washington
Barbara J. Grosz
Barbara J. Grosz Harvard University
Steven Dow
Steven Dow University of California, San Diego
Philip J. Guo
Philip J. Guo University of California, San Diego
Margo Seltzer
Margo Seltzer University of British Columbia
Stuart M. Shieber
Stuart M. Shieber Harvard University

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