Characteristics of older adults that predict performance in building robotic kits.

Background: Robotic kits are a popular, modern pastime primarily marketed and designed for younger generations. Kits designed for use by older adults have the potential to promote cognitive, physical, and social engagement. Objective: This study sought to determine characteristics and abilities of o...

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Publicado en:Gerontechnology Vol. 19; no. 3; pp. 1 - 9
Autores principales: Parkhurst, Eva L., Montalvo, Fernando, Sung, Stella, Navarro, Mar, Smither, Janan A.
Formato: pictorial research tables/charts Journal Article
Publicado: International Society for Gerontechnology 2020
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Characteristics of older adults that predict performance in building robotic kits.
      aug:
        au:
          Parkhurst, Eva L.
          Montalvo, Fernando
          Sung, Stella
          Navarro, Mar
          Smither, Janan A.
        affil: Department of Psychology, University of Central Florida, Florida, USA
      sug:
        subj:
          Robotics
          Attitude In Old Age
          Human
          Middle Age
          Aged
          Aged, 80 and Over
          Male
          Female
          Descriptive Statistics
          Regression
          Prediction Models
          Middle Aged: 45-64 years
          Aged: 65+ years
          Aged, 80 & over
          Male
          Female
      ab: Background: Robotic kits are a popular, modern pastime primarily marketed and designed for younger generations. Kits designed for use by older adults have the potential to promote cognitive, physical, and social engagement. Objective: This study sought to determine characteristics and abilities of older adults that predicted efficiency, perceived usability, and engagement in building a market-available kit. Methods: Fifty-nine adults, 25 males, and 34 females, ages 55 to 87 (M = 70.80, SD = 8.44) completed a series of assessments for spatial visualization, visual abilities, working memory, and dexterity before assembling a robot kit. Results: Backwards regression was utilized to create significant prediction models for five outcome variables: time on task, perceived system usability, task engagement, distress (i.e. negative affect), and worry (i.e. self-focused attention). Conclusion: Results indicated that younger individuals and those with higher spatial visualization ability completed the build faster and perceived the kit to be more usable. Dexterity in the non-dominant hand also predicted faster build times. The findings of this study can be used to inform gerontechnological designs of assembly kits. Future studies can examine if the important factors identified here are predictive of performance in building more complex robotic kits.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
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      ougenre: Article
    language: English
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