Technology Acceptance for Digital Arts Activities Among Older Chinese Adults with MCI

A mixed-methods study investigating the acceptance of digital arts-based activities among older Chinese adults with mild cognitive impairment. The research includes interviews with 36 older adults, 3 caregivers, and 1 art therapist, and a survey of 204 older adults using the Senior Technology Acceptance Model. The dataset was authored by Sihan An and last updated on 2026-04 27.

Use Cases

• Modeling technology acceptance factors based on perceived usefulness and ease of use mentioned in the description
• Designing user-friendly digital art interfaces based on participant preferences for personalized content
• Assessing the role of environmental support and cognitive ability on adoption intention based on the study's key factors
• Evaluating the feasibility of non-pharmacological interventions for mild cognitive impairment based on the mixed-methods approach

Strengths

• Includes data from 204 survey participants, providing a quantitative basis for analysis
• Employs a mixed-methods approach combining interviews with 40 individuals and a structured survey
• Uses the validated Senior Technology Acceptance Model (STAM) and structural equation modeling

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• The dataset is small at 390.7 KB, indicating limited scope

Provenance

Source

figshare

Collection Method

Mixed-methods study employing interviews and a survey using the Senior Technology Acceptance Model (STAM).

Time Range

null

Freshness

Last updated 2026-04-27 16:23:41; freshness should be verified

Geography

China (implied by focus on older Chinese adults)