Touvigation is presented, a hands-free object acquisition system that combines vision-language understanding with persistent local spatial modeling to provide low-latency, body-relative guidance and demonstrates how persistent spatial grounding and adaptive embodied guidance can improve object acquisition for blind and...
George Xi Wang, Xiang-Yu Li, Shaoyue Wen et al.· 0 citations
Background: Just-in-time adaptive interventions (JITAIs) can use behavioral data to adapt support to changing contexts, but many rely on predefined rules and manual configuration. Objective: We developed a proof-of-concept sleep JITAI using an AI agent to review personal data, evaluate reminders, adapt interventions, a...
AI productivity is often measured by task completion time, economic value, or improvements in outcome quality. However, these measures usually treat collaboration as a black box where they capture what output was produced, but not the interaction cost required to produce it. Motivated by economics literature, we introd...
Saki Imai, Mert \.Inan, Malihe Alikhani· 0 citations
A randomized vignette experiment with 285 U.S. adults across eight financial decisions independently varying three advice styles---AI, expert, and online community---and displayed source labels while holding the underlying recommendation consistent found expert-style advice remained most preferred when shown without so...
A. Kapadia, Eshwar Chandrasekharan, Koustuv Saha· 0 citations
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Beacon, a course-specific Retrieval-Augmented Generation system providing private, immediate, module-aligned academic support, is presented and evaluated and the findings suggest that carefully designed course-specific AI systems may reduce barriers to academic support by occupying an intermediary space between indepen...
Worked examples are an important part of introductory programming, but reading their expert explanations is passive. Self explanation, students explaining the problem and its solution to themselves with subgoal level analysis, converts passive reading into an active study of worked example, yet it is hard to scale beca...
Arun-Balajiee Lekshmi-Narayanan, Mohammad Hassany, Kamil Akhuseyinoglu et al.· 0 citations
As AI tools become embedded in productivity and self-improvement contexts, a pressing question emerges: what happens when AI does the goal-setting for us? In a preregistered experiment (N = 470), we compared self-authored goals against LLM-authored goals derived from a personal reflection. LLM-generated goals scored hi...
Vivienne Bihe Chi, Roman Rietsche, Andreas G\"oldi et al.· 0 citations
We introduce EventColumn, a new column type that integrates event-sequence data with heterogeneous tabular attributes into a single unified table. EventColumn lets analysts compare event sequences alongside numerical, categorical, and temporal attributes at both instance and group levels, offering a compressed overview...
Jakob Zethofer, Andreas Hinterreiter, Lukas Schieferm\"uller et al.· 0 citations
A conceptualization of LLMs as dialogue partners complementing a shared information baseline, causal evidence that this baseline shapes those conversations, an account of how citizens use and judge factual versus reflective agent roles, and a method for cities to test information packages and agent configurations befor...
C. Hausladen, Javier Argota Sánchez-Vaquerizo, Michael Siebenmann et al.· arXiv.org· 0 citations
Privacy policies govern how personal data is collected, used, and shared. Yet, in most privacy-policy consent flows, agreement is operationalized as a single click at the end of a long, opaque policy document. Recent privacy-law scholarship has argued for a standard of demonstrably informed consent. That is, the party...
Qian Ma, Aditya Majumdar, Sarah Rajtmajer et al.· 0 citations
Hand grip strength is a widely used clinical biomarker linked to mobility, frailty, surgical outcomes, and overall health. This work explores a novel, phone only approach for estimating grip related force using a smartphone's built in vibration motor and inertial measurement unit. When the phone vibrates, applied finge...
Colin Barry, Byron Fergerson, Edward Jay Wang· 0 citations
WoundAIssist enables patients to document wounds at home via photographs and questionnaires, while physicians remain engaged in the care process through remote monitoring and video consultations, and synthesizes design insights for remote patient monitoring apps that may inform the development of similar digital health...
Vanessa Borst, Anna Riedmann, Tassilo Dege et al.· ACM Transactions on Computin...· 6 citations
Students in MIT’s Concourse program delve deeply into the human condition, debate challenging questions, and learn to develop judgment about issues that can’t be quantified.
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduSep 30, 2026
Able to defeat top-ranked human players and more efficient than other models, the new system could help decision-makers in military maneuvers or business negotiations.
Computer scientist, entrepreneur, and philanthropist will collaborate with the MIT Schwarzman College of Computing to advance AI and scientific discovery.
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