arXiv AI By Tingting Xiang, Weihan Jiang, Hrishitva Patel, Haiqi Shen, Tianzhi He, Kyrie Zhou

Making Smart Homes Fit for Autistic Children: Family Work and Monitored Independence

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The article examines how general-purpose smart‑home technologies affect autistic children and their families, using qualitative data from caregiver interviews and social media posts. It finds that families adapt technology outputs, prompts, and interaction channels to support their children, but sensory intensity, communication rules, and opaque operating states can also create barriers. The study highlights the ongoing family work required—translation, configuration, modification, maintenance, and boundary‑setting—and discusses how remote monitoring can provide conditional independence while raising tensions around safety, privacy, and control.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

arXiv Computer Vision
Oct 23

Navigating human-robot interaction challenges in private and residential aged care homes

The chapter examines how robotic systems and ambient intelligence can improve care for older adults in both residential aged care homes and private homes, highlighting the extreme and challenging nature of these environments. It reviews embodied and non‑embodied solutions for daily living, safety monitoring, and social engagement, emphasizing hybrid deployments that combine robots with fixed and wearable sensors. Design considerations focus on accessibility, privacy, trust, and practical evaluation metrics such as false alarms, fault recovery time, staff workload, and long‑term reliability, while outlining future research challenges for scalable, regulation‑ready deployments.

By David Ahmedt-Aristizabal, Mohammad Ali Armin, Akila Pemasiri, Harshala Gammulle, Tharindu Fernando, David Silvera-Tawil, Simon Denman
arXiv Computer Vision
Sep 18

AI Smart Glasses for Wearable Intelligence: From Egocentric Sensing to Agentic Personalization

The paper surveys the evolution of smart glasses into AI smart glasses, framing them as wearable intelligence platforms that integrate egocentric sensing, resource-aware computing, intelligent reasoning, multimodal interaction, and real-world constraints for personalized assistance. It organizes the discussion into four dimensions: hardware foundations, wearable intelligence, interaction design, and application scenarios across healthcare, accessibility, learning, daily life, tourism, and industry. The authors identify five cross-cutting research challenges—next-generation hardware, trustworthy egocentric intelligence, lifelong personalized memory, proactive intelligence, and embodied foundation models—to guide future work.

By Xu Yuan, Yi Wang, Zhuohang Jiang, Haohao Qu, Yujuan Ding, Shanru Lin, Guoliang Xing, Hongxia Yang, Jiannong Cao, Qing Li, Wenqi Fan