Differences and Current Affairs between Expert Judgment and Generative AI Responses on Introducing the Possibility of Advanced Technology in the Study of Psychological Factors Determining Performance

Yun, Young-Kil; Kang, Jihun

doi:10.3389/fpsyg.2025.1527562

ORIGINAL RESEARCH article

Front. Psychol.

Sec. Sport Psychology

Volume 16 - 2025 | doi: 10.3389/fpsyg.2025.1527562

This article is part of the Research Topic Advances in Sports Science: Latest Findings and New Scientific Proposals- Volume III View all 4 articles

Differences and Current Affairs between Expert Judgment and Generative AI Responses on Introducing the Possibility of Advanced Technology in the Study of Psychological Factors Determining Performance

Provisionally accepted

Young-Kil Yun

Jihun Kang ^*

Korea National Sport University, Seoul, Republic of Korea

The final, formatted version of the article will be published soon.

Pupose: This study aimed to compare the judgments of experts (EP) and the responses of generative AI (GAI) regarding introducing the possibility of advanced technology in diagnosis of psychological factors determining performance (IoAoP) and to identify and analyze the differences and implications between the EP judgments and GAI responses. Methods: In this study were involved with 14 EP who met at least two of the following three conditions. GAI available in 2024 including ChatGPT, Gemini, Copilot, and HyperclovaX, were assessed for the IoAoP. Standard scores for the IoAoP were calculated using Excel, and the differences between EP judgments and GAI responses were measured by using ChatGPT 4o. Results: First, the EP were judged for the IoAoP as very high for AI, bigdata and etc, high for cloud, IoT, and etc, low for robotics, blockchain and etc, and very low for V2X, new material and etc. Second, GAI were responded to the IoAoP as very high for AI, mobile and etc, high for cloud, IoT and etc, low for CPS, robotics and etc, and very low for genetic scissors, new material and etc. Third, EP were responded to blockchain, cloud and etc higher than GAI, while GAI were responded to 3D printing, V2X and etc higher than EP. Conclusions: This study hopes to expand interest in GAI within sport psychology research while also serving as a catalyst for practical applications in research.

Keywords: Generative AI, introducing the generative AI, psychological factors determining performance, Advanced technology, judgment of expert and the responses of generative AI

Received: 13 Nov 2024; Accepted: 05 Mar 2025.

Copyright: © 2025 Yun and Kang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Jihun Kang, Korea National Sport University, Seoul, Republic of Korea

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.