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As global populations age, service robots are increasingly viewed as scalable tools to support elderly individuals in performing Activities of Daily Living (ADLs). However, the extent of ADL support and the barriers to broader deployment remain unclear. This systematic literature review screened 306 peer-reviewed publications (2012–2024), with 75 articles selected for in-depth analysis, addressing three research questions: (1) which ADLs remain underserved and what barriers hinder development; (2) how ethical, usability, and social factors affect adoption; and (3) what technological and deployment constraints limit commercialization. Findings show a disproportionate focus on Instrumental ADLs (IADLs), while Basic ADLs (BADLs)—particularly toileting, dressing, and bathing—remain underexplored. Sentiment analysis reveals stakeholder acceptance varies by robot type, shaped by concerns over privacy, reliability, and transparency. To assess readiness, the study proposes a taxonomy with three dimensions: explainability, failure tolerance, and robustness. Applied to Domestic Assistance Robots (DARs), Socially Assistive Robots (SARs), and Physically Assistive Robots (PARs), the framework highlights the need for distinct trust-building strategies. The study concludes that successful adoption depends on both functional capability and context-sensitive, user-centered design.

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Service Robots in Elderly Care: A Systematic Review of ADL Coverage, Stakeholder Sentiment, and Deployment Readiness

  • 会议论文

  • 发表日期：

    2026年

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  • Timothy Scott Chu,
  • John-John Cabibihan

摘要

As global populations age, service robots are increasingly viewed as scalable tools to support elderly individuals in performing Activities of Daily Living (ADLs). However, the extent of ADL support and the barriers to broader deployment remain unclear. This systematic literature review screened 306 peer-reviewed publications (2012–2024), with 75 articles selected for in-depth analysis, addressing three research questions: (1) which ADLs remain underserved and what barriers hinder development; (2) how ethical, usability, and social factors affect adoption; and (3) what technological and deployment constraints limit commercialization. Findings show a disproportionate focus on Instrumental ADLs (IADLs), while Basic ADLs (BADLs)—particularly toileting, dressing, and bathing—remain underexplored. Sentiment analysis reveals stakeholder acceptance varies by robot type, shaped by concerns over privacy, reliability, and transparency. To assess readiness, the study proposes a taxonomy with three dimensions: explainability, failure tolerance, and robustness. Applied to Domestic Assistance Robots (DARs), Socially Assistive Robots (SARs), and Physically Assistive Robots (PARs), the framework highlights the need for distinct trust-building strategies. The study concludes that successful adoption depends on both functional capability and context-sensitive, user-centered design.