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2,089 papers
The findings connect dashboard evolution with the human and organizational work needed to sustain their use and discuss seven opportunities for research and practice concerning validation, end-user education, dashboard proliferation and rot, organizational guidance, adaptation, novel visualizations, and accountability...
A Wizard-of-Oz study design and supporting real-time system for collecting multimodal behavioral data from native Chinese speakers reacting to social norm violations by German learners.
Large-scale learning programmes generate records that make learner participation observable across different activities. Participation points are commonly used to record and encourage such participation, but their value may extend beyond the activities for which points are awarded. Existing evaluations often examine ga...
Analysing large-scale Chinese-language and English-language social media discourse, this work combines topic clustering with inductive thematic analysis to examine how users interpret the social, moral, and political implications of AI-mediated memory.
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This survey of 443 designers, among the first phase-disaggregated accounts of its kind, examined reported AI use across the four phases of the Double Diamond workflow, pointing to two distinct modes of human-AI collaboration: generating from scratch versus refining within existing software.
This exploratory qualitative study examines how students' expectations of one process-capture platform, Turnitin Clarity, compared with their experience of using it are compared with their experience of using the platform.
This work introduces a bottom-up forum framework inspired by Philosophy for Children, in which language-model agents read a philosophical narrative, propose and select questions, and develop a shared conclusion without a privileged model facilitator or aggregator.
It is suggested that generative image AI helped pairs develop a solid shared understanding by providing concrete visual materials and supporting the exchange of ideas, and shifted conversation dynamics, enabling clients to participate more actively in shaping design direction.
HiThink Turn is an intent-aware streaming turn-state predictor that separates response intent from semantic completeness and conditions decisions on system playback state, and leads the compared methods in Easy Turn macro accuracy, Full-Duplex-Bench average interaction rate score, and non-target-speech average playback...
Scanvas is presented, an AI-supported system for systematically discovering and developing synergistic design opportunities and enables users to surface and develop significantly higher-quality, synergistic concepts compared to LLM ideation baselines.
This work introduces a shared structural representation that decomposes ideas into purpose, mechanism, and implementation components and organizes related components in a multi-layer concept graph and defines measures of pairwise similarity and set-level mechanism coverage for assessing idea diversity.
This work analyzes low-star reviews of 78 Amazon bestsellers across 8 categories at three levels of proximity to AI to propose two mechanisms by which suspicion arises: topical concentration, where a book's AI subject matter supplies vocabulary for quality complaints, and artifact detection, where readers notice ChatGP...
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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