Fan's attitude towards AI-Assisted Coaching in Sports

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Authors: Rich or Rich Onyeka, Shan Xu
Cited by: 0

Abstract

This dataset provides the raw survey data used to examine sports fans’ attitudes toward AI-assisted coaching in sports decision-making, guided by the Heuristic-Systematic Model (HSM). It supports transparency, replication, and further analysis of the study’s findings. It includes anonymized survey responses from 261 college student sports fans in the United States. Variables measure attitudes toward AI-assisted coaching, perceptions of AI accuracy and objectivity, team performance heuristics, critical thinking about AI, self-reported AI knowledge, and preferences for AI applications in sports. Data consist of Likert-scale items and demographic variables, with no personally identifiable information included. The dataset focuses on fan perceptions of AI use in college football coaching decisions, particularly AI as a decision-support tool. It enables replication of regression and descriptive analyses and supports future research on AI acceptance and technology use in sports coaching contexts.

Fields of Study & Subjects

Sports Gender and Society Sports Analytics and Performance Technology Adoption and User Behaviour

Publication details

Journal / source
Texas Digital Library (University of Texas)
Publication date
2 February 2026
Document type
Dataset