A hierarchy category of socially assistive robots' functions: Insights from older adults.

Socially assistive robots (SARs) are increasingly recognized for their potential in helping older adults age in place. Effectively meeting the diverse needs of older adults requires a proper classification of SARs' functions. However, existing function categories are primarily proposed from the pers...

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Publicado en:Assistive Technology Vol. 37; no. 3; pp. 194 - 203
Autores principales: Chen, Yu, Zhao, Qingxian, Liu, Meng, Ma, Guojie, Zhuang, Xiangling
Formato: pictorial research tables/charts Journal Article
Publicado: Taylor & Francis Ltd 2025
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Taylor & Francis Ltd
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        atl: A hierarchy category of socially assistive robots' functions: Insights from older adults.
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        au:
          Chen, Yu
          Zhao, Qingxian
          Liu, Meng
          Ma, Guojie
          Zhuang, Xiangling
        affil: Shaanxi Key Laboratory of Behavior and Cognitive Neuroscience, School of Psychology, Shaanxi Normal University, Xi'an, China
      sug:
        subj:
          Assistive Technology Devices Utilization
          Robotics Equipment and Supplies
          Activities of Daily Living Evaluation
          Community Living Evaluation
          Consumer Attitudes Evaluation
          Human
          Funding Source
          Male
          Female
          Aged
          Aged, 80 and Over
          Equipment Design
          Multidimensional Scaling
          User-Computer Interface
          Functional Status
          Communication
          Conceptual Framework
          Aged: 65+ years
          Aged, 80 & over
          Male
          Female
      ab: Socially assistive robots (SARs) are increasingly recognized for their potential in helping older adults age in place. Effectively meeting the diverse needs of older adults requires a proper classification of SARs' functions. However, existing function categories are primarily proposed from the perspective of researchers, rarely from older adults themselves. This study addresses this gap by employing a user-centered design approach to explore how older adults classify SARs' functions. Using the open card sorting technique, we first identified 30 functions supporting the daily tasks of older adults. Subsequently, twenty-five older adults aged 60 to 86 with diverse educational backgrounds participated in an iterative function categorization. The initial sorting ranged from 2 to 10 groups but generally centered around 4 to 6. Through multidimensional scaling and hierarchical clustering, we revealed a hierarchical structure of SARs' functions. Which identified four main categories: "Home Management," "Smart Healthcare," "Entertainment and Communication," and "Monitoring and Maintenance," with their sub-categories and super-categories. These findings provide valuable insights for designing SARs that better align with older adults' needs.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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