Third places---informal settings where relationships grow through repeated casual contact---are increasingly inaccessible to young people. Prior work shows that virtual third places exist, but little is known about how persistent settings and control over participation work together as relationships form. We interviewe...
JaeWon Kim, Thea Klein-Balajee, Ryan M. Kelly et al.· 0 citations
An AI resume screener reads a document supplied by the person it is evaluating, inverting the usual trust relationship between an assessor and the material it assesses. Candidates exploit this by concealing instructions inside a resume using white text, zero font size, hidden elements, markup comments, document metadat...
When it comes to aiding businesses with demanding tasks regarding human resource management, TalentOptima unequivocally boasts of the best there is to offer. This tool utilizes AI based decision making, advanced predictive analytics, and also machine learning, all of which help in enabling automated resource allocation...
Particle-based physics simulations, including fluids, smoke, and granular media, are fundamental to visual realism in immersive VR and AR. With the growing adoption of social VR and digital twins, demand is increasing for shared experiences in which multiple users interact with the same simulation in real time. Realizi...
Retrieval-Augmented Generation (RAG) is increasingly used to ground large language model (LLM) outputs in scientific literature. However, in open-ended literature exploration, the evidence context used for generation is often produced through hidden retrieval, reranking, assessment, and filtering steps. Users may recei...
Xingyu Liu, Yu Dong, Qizhen Yu et al.· 0 citations
Open datasets describing human behavior in environments shared with mobile robots remain limited, particularly for retail activities that combine locomotion, reaching, object handling, and robot guided movement. This paper introduces OHRID Retail, an open, human centered multimodal dataset collected from 16 healthy adu...
Xiang-Rui Wang, Yue-Tong Wu, Jalen Beeman et al.· 0 citations
Digital twins are too often described as realistic simulations, anatomical avatars, dashboards, or data mirrors. Those artifacts can be useful, but they miss the defining property of a digital twin: bidirectional feedback between a physical counterpart and a virtual counterpart. The physical system continuously updates...
2D and 3D videos could generally induce a higher cognitive load, but the extent of the differences also depended on the contents of the video stimuli and the viewing purpose, and the Cognitive Load Index (CLI) was introduced.
Research data quality is multidimensional and purpose-dependent: it emerges from the interplay of data, intended use, contextual knowledge, documentation, intervention decisions, and traceability. This concept paper presents the Data Hospital, a human-in-the-loop control and interaction model for research data quality....
Lennard Scheurer, Robert Porzel, Vinicius Carrillo Beber et al.· 0 citations
A codebook covering modes of use, risks, benefits, and parental mediation for youth AI companion use from parenting and teenager communities is developed and applied at corpus scale with an LLM, arguing differences track what a given kind of use makes visible to someone outside the conversation.
T. Berkane, A. Bischops, Anika Mellacheruvu et al.· 0 citations
Extended reality (XR) increasingly supports training and cognitive assessment, yet the age sensitivity of its interaction techniques is unclear. This study examined age, digital literacy, and interaction modality as correlates of psychomotor and cognitive-flexibility performance in immersive virtual reality (VR). Two h...
Panagiotis Kourtesis, Katerina Denaxa, Lydia Asimakopoulo 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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