Publications

Peer-reviewed publications by members of the People-Centered Computing Lab, aggregated automatically from the authors’ DBLP profiles.

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(2026). Platform and Study Design for Adaptive EMA Using Smart Glasses to Monitor Affective States. Proceedings of the 24th Annual International Conference on Mobile Systems, Applications and Services Workshops, MobiSys Workshops 2026, University of Cambridge, Cambridge, United Kingdom, June 21-25, 2026.
(2026). Security and Privacy in Agentic AI: Grand Challenges and Future Directions. CoRR.
(2026). The Effect of Complexity and Provenance on Code Review Decisions: Evidence from a Controlled Experiment. Proc. ACM Softw. Eng..
(2026). The Power of 10: New Rules for the Digital World. Commun. ACM.
(2026). The Power of 10: New Rules for the Digital World. CoRR.
(2026). The price of precision: the cost of preprocessing for automated code revision in code review. Empir. Softw. Eng..
(2025). A Comparative Analysis of Retrieval-Augmented Generation and Crowdsourcing for Fact-Checking. Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part III.
(2025). A Review of Methods for Unobtrusive Measurement of Work-Related Well-Being. Mach. Learn. Knowl. Extr..
(2025). A Survey on Federated Learning in Human Sensing. CoRR.
(2025). Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts. Forty-second International Conference on Machine Learning, ICML 2025, Vancouver, BC, Canada, July 13-19, 2025.
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(2025). Blue Mondays and Happy Meals: Investigating the Impact of Contextual Factors on Mood States. Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp Companion 2025, Espoo, Finland, October 12-16, 2025.
(2025). Categorical Explaining Functors: Ensuring Coherence in Logical Explanations. Proceedings of the 22nd International Conference on Principles of Knowledge Representation and Reasoning, KR 2025, Melbourne, Australia, November 11-17, 2025.
(2025). Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning. The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025.
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(2025). Causally Reliable Concept Bottleneck Models. Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, NeurIPS 2025, San Diego, CA, USA, December 2-7, 2025 / Mexico City, Mexico, November 30 - December 5, 2025.
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(2025). Causally Reliable Concept Bottleneck Models. CoRR.
(2025). Comprehension is a double-edged sword: Over-interpreting unspecified information in intelligible machine learning explanations. Int. J. Hum. Comput. Stud..
(2025). Counterfactual Concept Bottleneck Models. The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025.
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