User-informed recommendations for enhancing smart home services among people with disabilities

Smart home technology offers significant potential to improve independence, convenience, and daily functioning for individuals with disabilities. Despite its promise, there is limited research examining how people with different types of disabilities experience and adopt smart home systems in their everyday lives. This study aimed to explore user perspectives and suggest strategies for enhancing smart home services by conducting a cross-sectional qualitative study with 25 participants, including individuals with physical, visual, hearing, developmental, or brain lesion-related disabilities. Data were collected through disability-specific focus groups and were analyzed thematically. Four major themes were identified: motivations for adoption (e.g. convenience, safety, energy efficiency), accessibility barriers (e.g. technical complexity, inconsistent functionality), facilitators of continued use (e.g. peer feedback, increased independence), and space-specific needs within the home. Quantitative data supported these findings, with 92% of participants reporting overall satisfaction. However, concerns remained about reliability and accessibility. The findings highlight the importance of user-centered customization, simplified integration, and spatially adaptive design to promote the effective and inclusive use of smart home technology among people with disabilities.

Authors

Institutions

Publication Details

Journal
Assistive Technology
Published
2025-10-20
DOI
https://doi.org/10.1080/10400435.2025.2573676
Primary Topic
Technology Use by Older Adults
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

User-informed recommendations for enhancing smart home services among people with disabilities

Jong-bae Kim, S.E. Park, Hyung-Joo Lee, KwangTae Moon
Assistive Technology
Technology Use by Older Adults
article

User-informed recommendations for enhancing smart home services among people with disabilities

Jong-bae Kim, S.E. Park, Hyung-Joo Lee, KwangTae Moon
article en

Abstract

Smart home technology offers significant potential to improve independence, convenience, and daily functioning for individuals with disabilities. Despite its promise, there is limited research examining how people with different types of disabilities experience and adopt smart home systems in their everyday lives. This study aimed to explore user perspectives and suggest strategies for enhancing smart home services by conducting a cross-sectional qualitative study with 25 participants, including individuals with physical, visual, hearing, developmental, or brain lesion-related disabilities. Data were collected through disability-specific focus groups and were analyzed thematically. Four major themes were identified: motivations for adoption (e.g. convenience, safety, energy efficiency), accessibility barriers (e.g. technical complexity, inconsistent functionality), facilitators of continued use (e.g. peer feedback, increased independence), and space-specific needs within the home. Quantitative data supported these findings, with 92% of participants reporting overall satisfaction. However, concerns remained about reliability and accessibility. The findings highlight the importance of user-centered customization, simplified integration, and spatially adaptive design to promote the effective and inclusive use of smart home technology among people with disabilities.

Assistive Technology
University of Pittsburgh (US), Yonsei University (KR), National Rehabilitation Center (KR)
Openalex Percentile: Top 48%
Technology Use by Older Adults
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.