Featuring 261 anonymized survey responses from college student sports fans in the United States. It measures attitudes toward AI-assisted coaching in sports decision-making, guided by the Heuristic-Systematic Model, and includes Likert-scale items and demographic variables.
Use Cases
- Analyze correlations between self-reported AI knowledge and attitudes toward AI-assisted coaching.
- Examine the relationship between perceptions of AI accuracy and preferences for AI applications in sports.
- Model team performance heuristics as predictors of critical thinking about AI in coaching contexts.
- Conduct regression analysis to replicate the study's findings on AI acceptance in sports.
Strengths
- Contains 261 survey responses, providing a sample for statistical analysis.
- Includes variables measuring specific constructs like AI accuracy, objectivity, and team performance heuristics.
- Data is anonymized with no personally identifiable information included.
Limitations
- Sample size of 261 is relatively small and limited to college students, limiting generalizability.
- Geographic coverage is restricted to the United States.
- Data consists of self-reported survey responses, which may be subject to bias.
Provenance
- Source
- Texas Data Repository Harvested Dataverse
- Collection Method
- Survey data collection from college student sports fans.
- Time Range
- null
- Freshness
- null
- Geography
- United States