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2,089 papers
Evidence about sexual violence in Bangladesh is fragmented across individual reports, while official and civil-society statistics rarely provide reusable case-level detail. We examine how structured analysis can make one part of this fragmented record legible without treating it as prevalence data. Our corpus contains...
AdaptED Stories is presented, a practitioner-guided system for authoring, personalizing, and delivering Social Stories in special-education contexts that suggests that AI assistance can reduce story-preparation burden and support more individualized story creation.
As AI coding agents carry out development tasks with greater autonomy, developers are shifting from direct implementation toward supervising delegated work. Yet existing research offers limited understanding of how developers organize supervisory activities into connected workflows. Drawing on observations and workflow...
ProbeScout is presented, a visual analytics system that builds composable attribute probes from sparse VQA labels and fuses them into a conjunction-aware initial ranking, and provides lightweight attribute- and query-level feedback that drives staged refinement of fusion weights while keeping the probes fixed.
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This work introduces WidgetVA, a widget-centric agentic VA framework that standardizes interactive components as structured widgets with unified action and perception-query APIs and presents WidgetVABench, a benchmark of single- and multi-widget VA tasks that require agents to perform multi-step interactions to uncover...
In a preregistered randomized field experiment in a graduate corporate-finance course of an online MBA, 86 students were randomized between a structured tutor grounded in the course materials and a holdout in which consumer AI remained freely available.
This work examines whether requiring students to justify decisions to accept or reject AI suggestions can mitigate uncritical uptake in academic writing and reveals superficial engagement in the justification task and gaps in metacognitive monitoring and domain knowledge.
This paper reflects on the design of an internship program which engaged two foster-involved youth in creative self-expression and co-design with technology, and outlines how the program to foster belonging affected youth's inclusion and overall engagement; self-expression; exploration; and self-efficacy.
In agentic coding, developers shift from implementing changes themselves to specifying intent, evaluating the agent's work, and making approval decisions. However, delegating implementation can introduce cognitive debt that erodes project comprehension over time, constraining developers'ability to provide oversight. In...
Generative user interfaces (GenUI) promise personalized interfaces to a user's tasks and needs. However, user needs are often implicit---difficult for systems to infer and users to articulate, making it hard for users to arrive at their ideal interface. We propose Elicitive User Interfaces, a design approach to GenUI t...
As part of HVAC systems, residential heating provides foundational infrastructure for human habitation in cold weather. However, research on how residents interact with HVAC systems, particularly heating systems, remains fragmented across architecture, engineering, informatics, physiology, psychology, sociology, and de...
Interestingly, greater familiarity within the owner-co-owner dyad was associated with both higher disclosure acceptability and lower co-owner misalignment, whereas the exploratory four-item empathy measure was not.
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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