Explainable artificial intelligence (XAI) reveals how explanatory variables relate to a response variable, yet communicating XAI outputs to laypersons remains difficult, limiting trust in AI-based predictions. Large language models (LLMs) can translate technical explanations into accessible narratives, but iterative re...
Tomoaki Yamaguchi, Yutong Zhou, Masahiro Ryo et al.· 0 citations
The Extended Reality Universal Planning Toolkit (ERUPT), an extended reality (XR) system for interactive motion planning, is presented to introduce the open-source system to others who can use it as a base to develop immersive robot interaction applications.
Isaac Ngui, C. McBeth, A. Santos et al.· arXiv.org· 0 citations
A tool that elicits cultural markers through guided questions and generates personalized voice candidates for participants to hear and reflect on shows that cultural voice alignment runs deeper than accent or language alone; it touches on belonging, self-recognition, and what it means to be heard as who you are.
Tobias M. Weinberg, Aaleyah Lewis, Ricardo E. Gonzalez Penuela et al.· arXiv.org· 1 citation
People increasingly turn to LLMs for emotional support, yet common evaluations reward responses that feel helpful and may miss consequential response behaviors. We introduce a theory-informed measurement framework that decomposes LLM emotional-support responses into Soothe (affective comfort), Reframe (cognitive perspe...
Vivienne Bihe Chi, Adithya V Ganesan, Ryan L Boyd et al.· 0 citations
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Large language model (LLM)-based student simulation offers a scalable alternative for educational research, teacher training, and learner practice. However, its validity depends on whether LLMs maintain stable personas across and within interactions. We test this using a dual-assessment framework measuring self-reporte...
Jana Gonnermann-M\"uller, Jennifer Haase, Nicolas Leins et al.· 0 citations
A morality-as-a-system framework, grounded in Niklas Luhmann's social systems theory, that treats LLM morality as a dynamic, emergent property of a sociotechnical system is proposed.
A mixed-design study with 140 older adults, examining two dimensions of explanation design: evidential grounding and the VA's conversational personality and the results show that both dimensions influenced older adults' perceptions in distinct but interdependent ways, challenging one-size-fits-all explanation strategie...
N. Mathur, Hasibur Rahman, Smit Desai· 0 citations
A decision model and five design implications for concurrent human-agent collaboration are presented and a second probe is developed that tracks user actions and selectively updates its plan.
Kihoon Son, Hyewon Lee, DaEun Choi et al.· 1 citation
This work proposes a human-in-the-loop workflow for interactive theorem proving and discovery with LLMs, which retains control over problem formulation and assumptions, while the model searches for proofs or contradictions, proposes candidate properties and theorems, and helps construct structures and parameters that s...
Chen-Yi Li, Zhi-Jian Lai, Dong An et al.· Journal of Scientific Comput...· 4 citations
Charging electric vehicles (EVs) with renewable energy can lessen their environmental impact. However, the fluctuating availability of renewable energy affects the sustainability of public EV charging stations. Nearby public charging stations may utilize differing energy sources due to their microgrid connections - ran...
Delong Du, Apostolos K. Vavouris, O. Veisi et al.· Message Understanding Confer...· 3 citations
An empirical account of how older adults imagine petlike embodiment carrying another person's presence, the concept of robotic pets as embodied communication media, and a four-part sensitizing framework organized around relational purpose, source of agency, mode of embodiment, and governance are contributed.
De-Long Du, Sara Gilda Amirhajlou, Akwasi Gyabaah et al.· 0 citations
Therapeutic writing offers significant benefits for well-being; however, for family caregivers, conventional fixed or user-initiated schedules often fail to align with their dynamic, high-stress reality. We conducted a three-week field study with 47 caregivers using a chatbot that delivered daily reflective writing cue...
Shunpei Norihama, Yuka Iwane, Jo Takezawa et al.· Proceedings of the ACM on In...· 1 citation
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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