People often want garments that reflect their aesthetic preferences, fit their bodies, and meet their sizing needs, yet turning these requirements into physical garments remains difficult. Ready-to-wear options provide limited personalization, while custom tailoring is costly and time-consuming. Recent generative artif...
Hong Qu, Zhao-Xiang Xu, Jin-Bo Luo et al.· 0 citations
This study investigates AI augmentation of a clinical decision support system for physical-activity planning in cardiovascular disease and finds AI did not significantly improve workload, usability, confidence, or plan quality overall.
P. Pakianathan, R. Islambouli, Diogo Branco et al.· 0 citations
This work introduces interactional cultural markers, measurable patterns of doctor-patient interaction grounded in cross-cultural clinical communication, and uses them to compare real, simulated, and synthetic consultations from Indian and US clinical contexts to find distinct patterns of participation and control.
Krithi Shailya, Siddharth D. Jaiswal, A. Makani et al.· 0 citations
SmartFlex is presented, an intelligent wearable lumbar support system that integrates real-time posture recognition with an adaptive air bag array and achieves over 94% posture recognition accuracy and generates corresponding pressure-control commands with a sensing-to-command delay of less than 120 ms.
Benton Huang· 0 citations
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In recent years, large language model-based AI companion and role play chatbots have grown increasingly popular. People turn to these chatbots for emotional support and to engage in romantic and erotic role play. Although prior research suggests that digital role play can help people explore their gender and sexuality,...
Replication studies revisit previous experimental findings for multiple purposes, including assessing reliability, exploring generalisability, and evaluating research methods. Such studies entail design decisions that a single replication label cannot fully capture, making their designs difficult to describe and compar...
Yiheng Liang, Kim Marriott, Helen C. Purchase· 0 citations
Community-based fact-checking is promising in countering misinformation, yet its scalability is constrained by slow rating accumulation. To address this challenge, platforms such as X implement platform-directed rating mechanisms, specifically through ``Needs Your Help'' algorithmic prompts, to target unresolved notes....
Shuning Zhang, Changxi Wen, Jiuchang Wang et al.· 0 citations
Interactive visual interfaces have become an important means of controlling generative image models, enabling users to manipulate generation through prompts, direct manipulation, and a range of interactions. However, existing techniques are typically presented as independent systems, making it difficult to understand h...
Susie S. Y. Li, Ming-Wei Li, Remco Chang· 0 citations
This work presents Encypher, a collaborative generative music system that translates collective movement qualities into text prompts conditioning real-time music generation for dance cyphers, and offers a framework and design implications for AI systems for collaborative, embodied expression.
AI agents exert substantial social influence comparable in magnitude to that of human peers, and participants reported more dishonestly when exposed to dishonest rather than honest normative cues, highlighting the importance of managing the behaviors and normative signals communicated by AI group members.
Shu-Ning Zhang, Xin-Yuan Zhou, Yuan-Yang Qiu et al.· 0 citations
This work organizes accessibility navigation failures into a failure taxonomy and formalizes a browser-observable subset as executable Linear Temporal Logic properties over action-state traces and transforms accessibility knowledge into reusable checks of interface behavior over time.
Chen-Ming Ge, Ke-Wen Peng, Cheng-Yang Shi et al.· 0 citations
Apply-Mag is an LLM-powered tool to support HCI practitioners' work to design their products inclusively to wide ranges of users, supporting any inclusive design method that can be expressed as Mags (i.e., using attribute ranges and heuristics).
Sadia Afroz, Rudrajit Choudhuri, Fatima A. Moussaoui 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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