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,...
Julia Liu, Qing Xiao, Leona Yinglang Pang et al.· 0 citations
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, Mingwei Li, Remco Chang· 0 citations
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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
Doing inclusive design in HCI practice can be labor-intensive, a costly barrier that some companies and HCI practitioners may be unwilling or unable to overcome. Yet, not doing inclusive design is costly too, in the form of UX barriers that disproportionately disadvantage under-served user populations. To address this...
Sadia Afroz, Rudrajit Choudhuri, Fatima A. Moussaoui et al.· 0 citations
In conflict and disputes, especially, emotion acts as a salient force in influencing outcomes. Prior work shows negative affect can obstruct collaborative behaviors, which typically lead to ``win-win'' outcomes. Thus, some suggest mediators may help regulate emotion and achieve joint gains. With the proliferation of AI...
This work presents CANDOR (Collecting and Analyzing Networked Data for Open Research), an end-to-end infrastructure for participant-mediated collection and governance of sensitive digital trace data, and compares existing data donation infrastructures, identifying how different approaches support participant control, d...
Andrew Zhao, Rijul Magu, E. Raj et al.· 0 citations
Community health workers (CHWs) in the Global South increasingly encounter AI-powered tools, yet the counseling work central to their role remains largely unsupported. We study communication practices among Accredited Social Health Activists (ASHAs) in rural Rajasthan, India, through simulated family-planning calls, se...
Neil K. R. Sehgal, Sunny Rai, Sai Preethi Matam et al.· 0 citations
Graphical User Interface (GUI) grounding is a fundamental perception task for multimodal agents, enabling them to interpret natural language instructions and interact with digital interfaces. Existing methods face a fundamental trade-off between accuracy and efficiency: direct full-image inference often fails to captur...
Li-Yang Fan, Xin-Ping Bi, Yi-Tai Li et al.· 0 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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