AI That Moves With You: A Review of Interactive Technologies Powered by Large Foundation Models for Mobility Impairment

要旨

Large foundation models (FMs) -- including large language model (LLM), large vision model (LVM), vision language model (VLM), and related variants -- are rapidly reshaping interactive assistive technologies during past years. We present a review of FM-enabled interactive systems for people with mobility impairments, covering work published from January 2020 to May 2025. Searching five databases, we screened 6,249 records and included 27 full papers. We first summerize descriptive results including study design and evaluation approaches of the reviewed studies. We then synthesize FM techniques, model integration patterns, interaction paradigms, and mobility impairment contexts. Our analysis surfaces and distills both technical and ethical challenges existed, lighting up future research topics. We contribute: (i) a conceptualization of FM-enabled interactions for mobility impairment functioning as a design space; (ii) a tabulated corpus with a reproducible codebook; and (iii) a forward agenda to guide and inspire the design of future mobility-assistance interactive systems within human-computer interaction (HCI) and CHI community.

受賞
Best Paper
著者
Duosi Dai
Aarhus university, Aarhus, Denmark
Yuchong Zhang
KTH Royal Institute of Technology, Stockholm, Sweden
Yong Ma
University of Bergen, Bergen, Norway
Danica Kragic
KTH Royal Institute of Techonology, Stockholm, Sweden

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: Practical and Adaptive Accessibility

P1 - Room 132
7 件の発表
2026-04-15 18:00:00
2026-04-15 19:30:00