Informing existing technology acceptance models: a qualitative study with older persons and caregivers.

Area of Science:

• Gerontology and Human-Computer Interaction
• Assistive Technology Adoption
• Technology Acceptance Models

Background:

• Assistive technologies (AT) can enable older adults to age in place and support caregivers.
• User acceptance is critical for the successful implementation of AT.
• Existing technology acceptance models (TAM, UTAUT) primarily use quantitative methods and may overlook key factors.

Purpose of the Study:

• To qualitatively investigate factors influencing the acceptance of various AT among older persons and their caregivers.
• To examine the relevance of established technology acceptance model factors in a qualitative context.
• To identify and incorporate overlooked aspects into current technology acceptance models.

Main Methods:

• Qualitative study exploring user acceptance of diverse AT (wearables, ambient sensors, social robots).
• Focus on end-user groups: older persons and their caregivers.
• Investigated factors fostering and hindering technology acceptance.

Main Results:

• Performance expectancy and effort expectancy were confirmed as relevant factors for AT acceptance.
• Reliability, technology-related anxiety, and social aspects significantly influence acceptance across all end-user groups.
• Qualitative insights provide a deeper understanding beyond quantitative measures.

Conclusions:

• Current technology acceptance models can be enhanced by incorporating reliability, anxiety, and social factors.
• Findings offer practical knowledge for developing and implementing user-centered AT for aged care.
• Addressing these factors is crucial for maximizing the adoption and effectiveness of AT in supporting aging in place.