The results show that view mismatch is not only a geometric artifact, but can also introduce security, privacy, and reliability concerns for AI-integrated VST XR systems.
This paper gives HRI practitioners a standardised basis for evaluating, classifying, and comparing human-robot relationships, and sets out the experimental rigour that each classification demands, and calls on researchers of human-robot relationships to adopt such rigour.
An Australia-focused analysis of WildChat, a public dataset of real-world ChatGPT interaction logs, shows that the Australian subset is strongly action-oriented and comparatively work-oriented, with most interactions classified as doing and a majority of conversations classified as work-related.
Yin-Hsuan Ma, K. Gero, Clément Canonne et al.· 0 citations
AnomaSense is presented, a sensor activation approach for wrist wearables that keeps the microphone off by default and turns it on for at most one second when an unsupervised anomaly detector flags an IMU segment that is likely to produce sound.
Xue Wang, Yang Zhang· 0 citations
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HelpCoach is an add-on for chat interfaces that helps students formulate knowledge- and scaffold-specific questions and receive targeted help during problem solving and led to more specific questions during chatbot interactions and greater knowledge retention than pre-task help-seeking training alone.
Hyoungwook Jin, Wei-Rui Peng, Jieun Han et al.· 0 citations
A scoping review analyzes 53 HCI studies and offers a framework explaining how LLM capabilities become organized through family participation, using activity theory and AODM to relate participants and educational objects to mediation, labour, and rules.
This study examines how Taiwanese parent-child families negotiate a"good"family life through everyday energy use and imagine future smart homes that support it. We conducted in-home interviews and co-design sessions with 21 families, including 46 parents and children. We found that families pursued a good life through...
Yang Hong, Ying-Yu Chen, Wei-Chien Chang et al.· 0 citations
Three designs for presenting the hallucination-awareness information (uncertainty and provenance) in ECAs in VR against a no-cue baseline are compared and all three support users in identifying hallucinations.
Xiao-Ran Yang, Yang Zhan, Xie He et al.· 0 citations
This paper translates the studio, the room where practice happens: a persistent computational setting that translates a human practice into software that is a humorphic environment, and calls the shared setting a humorphic environment.
It is found that traditional data auditing mechanisms cannot solely address data devaluation; hence, the Citizen-centered Cross-institutional Data Audit (CCDA) is proposed, which discusses design and policy implications of CCDA in HCI and datafied citizen services.
Spatial biologists use visualization to assess computational analyses of tissue data. We examine how they direct and verify analyses when an AI agent performs this work. We synthesized workflows from fourteen contextual inquiries and conducted a formative pilot followed by an observational study with ten spatial biolog...
Ella Hugie, Alexandra Irger, Chiara Schiller et al.· 0 citations
Our mixed-method study examines how Chinese women livestreamers use masking to construct idealized mediated personas while navigating gendered, commercial, organizational, and platform pressures alongside personal agendas. We built on the concept of masking, analyzed 627 recruitment posts, and conducted livestream obse...
Yang Hong, Nusrat Jahan Mim, Sharifa Sultana· 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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