Simulations show that over-reliance on a weak AI is especially harmful, and that diversifying AI signals across users can better keep the crowd informative, and conclude with implications for understanding human-AI interaction in information spread and designing misinformation interventions.
Zhuoran Lu, Weilong Wang, Yang-Yang Yu et al.· Proceedings of the 2026 ACM...· 0 citations
The best machines now out-see young adults here, without matching the human balance between suspicion and trust, without matching the human balance between suspicion and trust.
Sunwhi Kim, Sunyul Kim, Meounggun Jo et al.· 0 citations
LandmarkLens, a mixed-reality navigation system that uses a vision-language model (VLM) to identify and highlight navigation-relevant landmarks is built, suggesting that guided landmark attention can support landmark-level spatial knowledge acquisition for people with poor SOD, a first step toward broader spatial learn...
Lin-Qian Chu, Yotam Sechayk, Jared Hwang et al.· 0 citations
FocusAdapt is presented, a context-aware DR system that predicts object-level distraction by integrating visual saliency, semantic relevance, and gaze behavior, enabling adaptive focus assistance during procedural tasks.
Tianyu Zhang, Shu-Tong Wu, Jiankun Yang et al.· 0 citations
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The results showed that ATs increased perceived risk and encouraged more cautious crossing behavior, suggesting a risk-compensation effect, but this compensation was weakened under rainy conditions, where braking-related safety margins were reduced.
Looking Around by Looking Around (LALA) is introduced, a gaze-based VR pitch-and-yaw viewport control technique designed for natural and effortless omnidirectional exploration via eye movements, without requiring or obstructing movement of the head, hand, or body, offering a low-effort and highly accessible interaction...
It is suggested that AI-enabled vehicles can support urgent takeover communication through visual-tactile displays and can adapt message content to the time available and the maneuver quality required, with implications for drivers across hearing abilities.
This paper extends a previously presented CPMT framework by introducing a hierarchical DT framework that simultaneously maintains DTs of both the machine tool and the machining process, providing a foundation for AI-assisted machining applications while preserving the machine tool monitoring and teleoperation capabilit...
Khalil Chakal, Tero Kaarlela, José Outeiro et al.· 0 citations
It is argued that AI-SEL studies should systematically specify Who should act, What actions are recommended, Why these actions are needed, When and Where they apply, and How strongly they are framed, thereby strengthening the translation of AI x SEL innovation into educational policy and practice.
C. V. Tran, Yi-Hang Liu, Tuong Van Nguyen· 0 citations
The findings provide the first systematic assessment of vibe coding for interactive visualization construction, revealing both its strengths and limitations, explaining the shift in developer labor and identifying the hybrid collaboration strategies participants adopted.
Yan-Shan Zeng, Ruixuan Tu, Zuodong Xiang et al.· 0 citations
EITWatch is the first wrist-EIT system built around smartwatch case-back geometry, asking whether this contact patch alone can support gesture recognition: eight planar electrodes in a 31 mm ring acquire 35 impedance measurements at 48 Hz.
Feelium is a blimp-based telepresence platform that enables visual embodiment and touch interaction through its inflatable skin that turns the skin into a shared surface between remote and co-located partners.
George Xi Wang, Heng-Hao Li, Shan Lin 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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