Gratitude technologies support well-being by prompting reflection on what people appreciate. But gratitude does not serve the same purpose in every circumstance: as life situations change, so does what people seek from it, and whether it feels appropriate at all. To understand how technology can adapt to and support su...
Joy Qiuyue Zhong, Jeongah Lee, Drishti Goel et al.· 0 citations
Results indicate that hand tracking benefits from any form of visual representation-even when mismatched-achieving up to 5.8% greater accuracy compared to having no avatar, likely due to its reliance on visual feedback in the absence of a physical prop.
Natalia Ocampo, Johann Felipe Gonzalez, Robert J. Teather· International Symposium on M...· 5 citations
Computational notebooks make problem-solving visible, but typically only one notebook at a time. Meanwhile, in data science platforms like Kaggle, one competition can accumulate hundreds of notebooks. Effective collection-level analysis requires characterizing recurring solution patterns across all notebooks, as well a...
Xiaotian Su, Hongxin Fu, Xiaoyu Zhang et al.· 0 citations
This study examines how news engineers and related technical stakeholders perceive and implement personalization and explainability in practice, and provides actionable and practical guidelines for news engineers and researchers on how to adopt explainability methods within a news personalization pipeline.
Jasmin Kareem, Siddharth Mehrotra, M. Willemsen et al.· Proceedings of the 20th ACM...· 0 citations
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People increasingly compete against AI agents rather than other human opponents. We distinguish two channels: an opponent effect and an information effect. These are different elements with different consequences: the opponent effect is specific to a given computational system, the information effect a property of the...
End-to-end system operation and support online reuse without test-day calibration are demonstrated and AESSI, an around-ear SSI using masked-context representation pretraining (MCRP), an around-ear SSI using masked-context representation pretraining is presented.
Xi-Ran Xu, Mo-Chu Dong, Yu-Jie Yan et al.· 0 citations
GUIDE (GenUI Development Environment), a system that lets designers continuously inspect and refine GenUI behavior as they create and edit interfaces through prompt optimization and a novel adaptive conformance scoring model, is introduced.
Hyewon Lee, Zi-Ying Wang, Aiden Moy et al.· 0 citations
Effective collaboration and communication are vital to developer productivity and well-being, yet remain constrained by human factors such as attention, intrinsic motivation, and interpersonal accountability. These constraints are particularly vital for developers identifying with Attention Deficit Hyperactivity Disord...
Veronica Pimenova, Seth Bernstein, Shalini Madan et al.· 0 citations
This work analyzed 91 SIGCHI papers that contribute HCI interventions for mental health self-care from 2015 through June 2026 to surface six orientations of self-care, which describe how HCI self-care interventions constitute care through shared assumptions regarding self, care, and technology.
Cooperative and connected automated vehicles (CAVs) rely on Signal Phase and Timing (SPaT) messages to cross signalized intersections; a denial-of-service (DoS) flood that blocks SPaT forces CAVs into a fail-safe mode. Because human-driven vehicles share the intersection, the safety consequence depends not only on the...
R. Bello, Gurcan Comert, V. Vaidyan et al.· 0 citations
Techniques for exploring the relationships between the SAE's features and the model's predictions and errors are presented and integrated into SAEfarer, a tool for analyzing concepts learned by text classification LMs.
Daniel Kerrigan, Brian Barr, Enrico Bertini· 0 citations
It is suggested that both students and teachers are receptive to data comics as a means of supporting the interpretability of LADs, though they must be carefully designed to avoid overwhelming students with information.
M. Milesi, Vanessa Echeverría, Li-Xiang Yan et al.· 0 citations
AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
MIT News · Artificial Intelligence· news.mit.eduOct 23, 2026
During the School of Humanities, Arts, and Social Sciences’ 75th Anniversary Symposium, President Sally Kornbluth said “MIT has never needed your particular insight and guidance more than we do now.”
MIT News · Artificial Intelligence· news.mit.eduOct 23, 2026
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
MIT News · Artificial Intelligence· news.mit.eduOct 22, 2026
“X-Hinges” helps design and 3D print items like lamps and gloves with an interactive twist: automatically embedded sensors that perceive and adaptively respond to human contact.
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