A study dataset examining how task–technology fit and social–technology fit shape older adults’ satisfaction with generative AI-powered conversational agents. The dataset was authored by Mingxi Sun and last updated on 2026-05-26. It is a small dataset of 148.6 KB, stored in an XLSX file.
Use Cases
- Analyze factors influencing technology acceptance based on the task–technology fit (TTF) concept.
- Model user satisfaction predictors based on the social–technology fit (STF) concept.
- Study demographic or behavioral patterns in older adults' interactions with generative AI agents.
Strengths
- Dataset is openly licensed under CC-BY-4.0.
- File is provided in the widely compatible XLSX format.
- Specific research focus on older adults and generative AI is clearly defined.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- The dataset's 148.6 KB size indicates a very limited scope.
Provenance
- Source
- figshare
- Collection Method
- Likely contains survey or experimental data from a study, as inferred from the description.
- Freshness
- Last updated 2026-05-26 09:42:07; freshness should be verified.