Muller, Michael

Participatory design

Muller, M. J., & Kuhn, S. (1993) · Communications of the ACM

Usability and User Interface DesignSoftware Engineering Techniques and Practices

Cited by 909

Expanding Explainability: Towards Social Transparency in AI systems

Ehsan, U., Liao, Q. V., Muller, M., Riedl, M. O., & Weisz, J. D. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 538

Next steps for value sensitive design

Borning, A., & Muller, M. (2012) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 365

Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI

Wang, D., Weisz, J. D., Muller, M., Ram, P., Geyer, W., Dugan, C., Tausczik, Y., Samulowitz, H., & Gray, A. (2019) · Proceedings of the ACM on Human-Computer Interaction

Ethics and Social Impacts of AIAI and HR Technologies

Cited by 342

Investigating Explainability of Generative AI for Code through Scenario-based Design

Sun, J., Liao, Q. V., Muller, M., Agarwal, M., Houde, S., Talamadupula, K., & Weisz, J. D. (2022) · 27th International Conference on Intelligent User Interfaces

Explainable Artificial Intelligence (XAI)Software Engineering Research

Cited by 219

How AI Developers Overcome Communication Challenges in a Multidisciplinary Team: A Case Study

Piorkowski, D., Park, S., Wang, A. Y., Wang, D., Muller, M., & Portnoy, F. (2021) · Proceedings of the ACM on Human-Computer Interaction

Software Engineering Techniques and PracticesInterdisciplinary Research and Collaboration

Cited by 151

Considerations for AI fairness for people with disabilities

Trewin, S., Basson, S., Muller, M., Branham, S., Treviranus, J., Gruen, D., Hebert, D., Lyckowski, N., & Manser, E. (2019) · AI Matters

Ethics and Social Impacts of AIDigital Accessibility for Disabilities

Cited by 143

Perfection Not Required? Human-AI Partnerships in Code Translation

Weisz, J. D., Muller, M., Houde, S., Richards, J., Ross, S. I., Martinez, F., Agarwal, M., & Talamadupula, K. (2021) · 26th International Conference on Intelligent User Interfaces

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 129

Trust in AutoML: exploring information needs for establishing trust in automated machine learning systems

Drozdal, J., Weisz, J., Wang, D., Dass, G., Yao, B., Zhao, C., Muller, M., Ju, L., & Su, H. (2020) · Proceedings of the 25th International Conference on Intelligent User Interfaces

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

Cited by 119

All Work and No Play?

Liao, Q. V., Mas-ud Hussain, M., Chandar, P., Davis, M., Khazaeni, Y., Crasso, M. P., Wang, D., Muller, M., Shami, N. S., & Geyer, W. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

AI in Service InteractionsSpeech and dialogue systems

Cited by 116

GenAICHI: Generative AI and HCI

Muller, M., Chilton, L. B., Kantosalo, A., Martin, C. P., & Walsh, G. (2022) · CHI Conference on Human Factors in Computing Systems Extended Abstracts

Innovative Human-Technology InteractionDigital Media and Visual Art

Cited by 101

Designing Ground Truth and the Social Life of Labels

Muller, M., Wolf, C. T., Andres, J., Desmond, M., Joshi, N. N., Ashktorab, Z., Sharma, A., Brimijoin, K., Pan, Q., Duesterwald, E., et al. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Machine Learning and Data ClassificationMobile Crowdsensing and Crowdsourcing

Cited by 83

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

Better Together? An Evaluation of AI-Supported Code Translation

Weisz, J. D., Muller, M., Ross, S. I., Martinez, F., Houde, S., Agarwal, M., Talamadupula, K., & Richards, J. T. (2022) · 27th International Conference on Intelligent User Interfaces

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 69

Toward General Design Principles for Generative AI Applications

Weisz, J. D., Muller, M., He, J., & Houde, S. (2023) · arXiv

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 54

AI-Assisted Human Labeling: Batching for Efficiency without Overreliance

Ashktorab, Z., Desmond, M., Andres, J., Muller, M., Joshi, N. N., Brachman, M., Sharma, A., Brimijoin, K., Pan, Q., Wolf, C. T., et al. (2021) · Proceedings of the ACM on Human-Computer Interaction

Mobile Crowdsensing and CrowdsourcingHuman-Automation Interaction and Safety

Cited by 45

Exploring the Use of Personalized AI for Identifying Misinformation on Social Media

Jahanbakhsh, F., Katsis, Y., Wang, D., Popa, L., & Muller, M. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Misinformation and Its ImpactsSpam and Phishing Detection

Cited by 42

Examining the Use and Impact of an AI Code Assistant on Developer Productivity and Experience in the Enterprise

Weisz, J. D., Kumar, S. V., Muller, M., Browne, K.-E., Goldberg, A., Heintze, K. E., & Bajpai, S. (2025) · Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 37

Extending a Human-AI Collaboration Framework with Dynamism and Sociality

Muller, M., & Weisz, J. (2022) · 2022 Symposium on Human-Computer Interaction for Work

Information Systems Theories and ImplementationHuman-Automation Interaction and Safety

Cited by 37

Capturing the Context of Use to Inform System Design

Evenson, S., Muller, M., & Roth, E. M. (2008) · Journal of Cognitive Engineering and Decision Making

Usability and User Interface DesignErgonomics and Human Factors

Cited by 14

Quality Estimation & Interpretability for Code Translation

Agarwal, M., Talamadupula, K., Houde, S., Martinez, F., Muller, M., Richards, J., Ross, S., & Weisz, J. D. (2020) · arXiv

Software Engineering ResearchNatural Language Processing Techniques

Cited by 3