Aspects Related to the Marathon and Performance That Can Be Supported by Artificial Intelligence (AI): A Systematic Literature Review
Full-marathon and Half-marathon distances are categorized as road running. Full-marathon running is becoming increasingly popular, and Half-marathon is increasing worldwide in both sexes and all age groups. Some aspects might relate to Full-marathon and Half-marathon running performance during training and races. Technology also plays an essential role in supporting runners and running races. Technology like artificial intelligence (AI) now supports the running athlete, not only predicting performance and results. It can also be used later to help the coach generate training programs for the athlete. This research aimed to find many aspects of marathons and performance and analyze them to see if artificial intelligence could later support them. It used secondary data and a systematic literature review proposed by Kitchenham. Out of the 58 articles, 21 of them (36.21%) received a score of 1 from Q1. Additionally, 19 articles (32.76%) received a score of 1 from both Q2 and Q3. Among the 58 articles, 9 (15.52%) received a total score of 3, with all three Q1, Q2, and Q3 scores being 1. This indicates that artificial intelligence will likely support the content of these nine articles. Several factors were also discovered to be connected to marathons and athletic performance. These findings suggested that additional investigation into marathons and performance, later backed by artificial intelligence, remained pertinent and essential.
Authors
- Wandy Wandy (ORCID: https://orcid.org/0000-0002-8292-6530)
- Media Anugerah Ayu (ORCID: https://orcid.org/0000-0002-6774-0850)
- Kusworo Adi (ORCID: https://orcid.org/0000-0002-7702-6554)
Institutions
- Diponegoro University (ID)
- Sampoerna University (ID)
Publication Details
- Published
- 2024-09-12
- DOI
- https://doi.org/10.1109/ic2ie63342.2024.10747908
- Primary Topic
- Advanced Technologies in Various Fields
- Type
- article
- Field-Weighted Citation Impact
- 0.00