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Closing the Capacity-Ability Gap: Using Technology to Support Aging With Disability.

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New models support technology design for older adults with diverse abilities and long-term impairments. These frameworks ensure interventions meet user needs, promoting independence and participation for aging populations.

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Area of Science:

  • Gerontology
  • Rehabilitation Technology
  • Assistive Technology

Background:

  • Older adults, especially those with long-term impairments, require tailored support to maintain optimal functioning and participation.
  • Current technology interventions often lack specific guidance, leading to suboptimal outcomes for diverse user needs.
  • A gap exists in differentiating between age-related changes and pre-existing disabilities in intervention design.

Purpose of the Study:

  • To present the TechSAge Aging and Disability Model, distinguishing between aging into disability and aging with disability.
  • To introduce the TechSAge Technology Intervention Model for guiding technology development for individuals aging with pre-existing impairments.
  • To address the need for actionable models in aging and disability research for technology design.

Main Methods:

  • Development of two conceptual models: the TechSAge Aging and Disability Model and the TechSAge Technology Intervention Model.
  • Literature review and synthesis of aging and disability research to inform model development.
  • Emphasis on differentiating age-related changes from long-term impairments in intervention design.

Main Results:

  • The TechSAge Aging and Disability Model clarifies distinct population groups within the aging and disability spectrum.
  • The TechSAge Technology Intervention Model offers specific guidance for technology development and redesign.
  • The models highlight the dynamic interplay between aging, prior capabilities, and technological support.

Conclusions:

  • Differentiating between age-related changes and long-term impairments is crucial for effective technology intervention design.
  • The presented models provide a framework to bridge aging and disability research for better technology outcomes.
  • Further quantitative and qualitative data are needed to refine these models and enhance technology interventions for aging populations.