External human-machine interfaces (eHMIs) are evolving from predefined displays toward adaptive communication strategies that respond to changing traffic and road-user states. This transition requires experimental infrastructure that supports human-in-the-loop (HIL) interaction, software-in-the-loop (SIL) algorithm exe...
Yun Ye, Zexuan Li, Haoyang Liang et al.· 0 citations
This work identifies four mechanisms by which national capacity fails to reach the household: legibility, intra-household power distribution, accessibility of redress, and infrastructure-affordability constraints, and proposes four concrete, low-cost last-mile indicators pilotable within existing CMM deployments.
This work evaluates state-of-the-art LLMs as pointwise and pairwise judges of conversational success on CANDOR, finding pointwise scoring correlates moderately with human ratings, while pairwise comparison suffers from long transcripts and positional bias.
Maike Zufle, Patrícia Schmidtová, Vilém Zouhar et al.· 0 citations
A novel definition of pedestrian-vehicle interaction as a partially observable Markov decision process (POMDP) with theory-grounded perceptual, cognitive, and motor constraints is introduced to establish a blueprint for simulator-ready pedestrian models that can support the development and evaluation of automated drivi...
Ruo-Feng Wang, Patrick Ebel, Philipp Wintersberger et al.· 0 citations
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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.
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
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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