ChatGPT Generated Training Plans for Runners are not Rated Optimal by Coaching Experts, but Increase in Quality with Additional Input Information.
ChatGPT may be used by runners to generate training plans to enhance performance or health aspects. However, the quality of ChatGPT generated training plans based on different input information is unknown. The objective of the study was to evaluate ChatGPT-generated six-week training plans for runne...
| Publicado en: | Journal of Sports Science & Medicine Vol. 23; no. 1; pp. 56 - 73 |
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| Autores principales: | , , , , , |
| Formato: | questionnaire/scale research tables/charts Journal Article |
| Publicado: |
Hakan Gur, Journal of Sports Science & Medicine
Mar2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=176128894&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 176128894 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13032968 FYN jtl: Journal of Sports Science & Medicine issn: 13032968 maglogo: N pubinfo: dt: Mar2024 vid: 23 iid: 1 pid: 26030 pub: Hakan Gur, Journal of Sports Science & Medicine artinfo: ui: 176128894 176128894 176128894 10.52082/jssm.2024.56 176128894 ppf: 56 ppct: 17 formats: fmt: @attributes: type: P tig: atl: ChatGPT Generated Training Plans for Runners are not Rated Optimal by Coaching Experts, but Increase in Quality with Additional Input Information. aug: au: Düking, Peter Sperlich, Billy Voigt, Laura Van Hooren, Bas Zanini, Michele Zinner, Christoph affil: Department of Sports Science and Movement Pedagogy, Technische Universität Braunschweig, Braunschweig, Germany sug: subj: Artificial Intelligence Utilization Athletic Training Programs Standards Athletes Running Athletic Training Programs Evaluation Coaches, Athletic Human Male Female Descriptive Statistics Summated Rating Scaling Comparative Studies Time Factors Friedman Test Digital Health Data Analysis Software Feedback Male Female ab: ChatGPT may be used by runners to generate training plans to enhance performance or health aspects. However, the quality of ChatGPT generated training plans based on different input information is unknown. The objective of the study was to evaluate ChatGPT-generated six-week training plans for runners based on different input information granularity. Three training plans were generated by ChatGPT using different input information granularity. 22 quality criteria for training plans were drawn from the literature and used to evaluate training plans by coaching experts on a 1-5 Likert Scale. A Friedmann test assessed significant differences in quality between training plans. For training plans 1, 2 and 3, a median rating of <3 was given 19, 11, and 1 times, a median rating of 3 was given 3, 5, and 8 times and a median rating of >3 was given 0, 6, 13 times, respectively. Training plan 1 received significantly lower ratings compared to training plan 2 for 3 criteria, and 15 times significantly lower ratings compared to training plan 3 (p < 0.05). Training plan 2 received significantly lower ratings (p < 0.05) compared to plan 3 for 9 criteria. ChatGPT generated plans are ranked sub-optimally by coaching experts, although the quality increases when more input information are provided. An understanding of aspects relevant to programming distance running training is important, and we advise avoiding the use of ChatGPT generated training plans without an expert coach's feedback. pubtype: Academic Journal doctype: questionnaire/scale research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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