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<p>Global aging poses challenges for older adults using digital products, increasing cognitive load and operational complexity. This study addresses optimal product design by evaluating three assistance methods -adult child-assisted support, AI and VR-assisted training, and voice guidance- across different elderly cohorts. A 3 × 2 × 2 × 2 mixed-design experiment assessed task completion time, accuracy, completion rate, emotional response, and technology acceptance. Results show that adult child-assisted support significantly enhances task performance, especially for those over 85. AI and VR assistance effectively reduce completion time and improve accuracy and completion rates. Conversely, voice guidance has limited effectiveness, particularly for the 65–70 age group. Combining adult child support with AI/VR technology markedly improves digital task performance among the elderly. This research underpins age-friendly design, highlighting multi-assistance systems to bridge the intergenerational digital divide and enhance technology acceptance. Future studies should explore multicultural contexts and integrate supports like augmented reality and robotics.</p>

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Designing ergonomic multi-modal digital support systems to enhance well-being in older adults: insights from AI-integrated VR, voice guidance, and social assistance

  • 期刊论文

  • 发表日期：

    2025年12月24日

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  • Liyan Bu,
  • Yiming Zhang,
  • Weicheng Pan,
  • Hong Chen,
  • Chunpeng Hua,
  • Hesen Li

摘要

Global aging poses challenges for older adults using digital products, increasing cognitive load and operational complexity. This study addresses optimal product design by evaluating three assistance methods -adult child-assisted support, AI and VR-assisted training, and voice guidance- across different elderly cohorts. A 3 × 2 × 2 × 2 mixed-design experiment assessed task completion time, accuracy, completion rate, emotional response, and technology acceptance. Results show that adult child-assisted support significantly enhances task performance, especially for those over 85. AI and VR assistance effectively reduce completion time and improve accuracy and completion rates. Conversely, voice guidance has limited effectiveness, particularly for the 65–70 age group. Combining adult child support with AI/VR technology markedly improves digital task performance among the elderly. This research underpins age-friendly design, highlighting multi-assistance systems to bridge the intergenerational digital divide and enhance technology acceptance. Future studies should explore multicultural contexts and integrate supports like augmented reality and robotics.