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2,089 papers
The effectiveness of tokenized sEMG representations as a compact, generalizable, and physiologically meaningful feature space for applications in rehabilitation, human-machine interaction, and motor function analysis is highlighted.
This paper proposes that the mind pursues goals with closed control loops and emotions are recognized patterns of cognitive operations in the control loops and advances the building of a more accurate theory of emotions that deepens the understanding of human minds and accelerates the construction of artificial minds.
Apollo is a social recovery mechanism that aims to avoid any memorability assumptions while strongly protecting recovery metadata privacy, and uses a novel multi-layered secret sharing scheme to mitigate the computational overhead of recovery in this setting, which would otherwise be exponential in the recovery thresho...
No manufacturer-set password shared across units, the kind the advice describes; the only device-level credential located was unique to its unit; fewer than half the update sessions established firmware status.
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Preliminary results suggest that audio- and image-free earable sensing with inspectable personalization can support low-burden meal-awareness review.
PageGuide, a browser extension that grounds LLM answers in page content via two features: FIND, which highlights supporting evidence in situ on a page, and GUIDE, which guides users across pages with evidence captured at each step, improves overall verification accuracy and reduces verification time.
AI assistants on smart glasses need to know what surrounds the user and what the user is looking at. Obtaining this context typically relies on a world-facing camera, raising privacy concerns for bystanders. We present GlintMarkers, a system for gaze-anchored spatial perception using a single inward-facing eye camera....
StoryEcho is a generative storytelling system centered on a narrative mirroring loop, in which personalized stories model sensory exploration through a persistent counterpart and children's subsequent food encounters are reflected back into narrative feedback and future story development.
It is argued that AI/ML methods were born from specific platform and internet infrastructures, and so they can struggle to integrate with very different (in this case meteorological) ways of organizing data pipelines.
LLM-powered computer-use agents (CUAs) shift users from direct manipulation to supervising an unfolding action sequence, yet existing oversight research mostly evaluates static decisions rather than real-time oversight across an agent trajectory. We compared four oversight strategies with 48 participants across 192 liv...
This work investigates how animating personal smartphones to move expressively, without compromising regular functions, can transform them into embodied facilitators for co-located group interaction, and develops AnimaStand, a movement-enabled phone stand that animates phones to deliver facilitation cues according to c...
Personalized social media feeds infer preferences from behavior, leaving people little direct control over what they see. Existing controls range from post-level reactions to rules and natural language, but little is known about how people use them together or how added expressiveness changes effort. We built PILOT, a...
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…
Data Mining & Modeling
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
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.”
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
“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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