GAMIFICATION OF CONDITIONING TRAINING OF FOOTBALL PLAYERS USING ATHLETICS EXERCISES: INTERNET OF THINGS OPPORTUNITIES
DOI:
https://doi.org/10.31110/2616-650X-vol13i10-001Keywords:
gamification, IoT, football, track and field, athletics, conditioning training, motivation, engagement, self-determinationAbstract
Gamification and Internet of Things (IoT) technologies are gaining significant prominence in sports training, offering mechanisms for adaptive conditioning and enhanced motivation. Despite this potential, there is a scarcity of empirical evidence and a lack of a unified conceptual model integrating behavioral, technological, and physiological factors within the context of conditioning training for football players. The purpose of this study is to investigate the scientific approaches, trends, and patterns in the application of gamification and Internet of Things technologies in conditioning training for football players, utilizing track and field exercises. The research employed a structured literature review based on a search within the Web of Science scientific information database. An extended search query was not limited by time, aiming to cover the entire evolving research field. Initially, 66 documents were identified. The VOSviewer tool (version 1.6.19) was used to map the research field and cluster the identified keywords. Following a full-text analysis and the application of predefined inclusion/exclusion criteria, the bibliographical analysis focused on 38 relevant sources, ensuring that each work aligned with at least one thematic cluster. The analysis of the mapping results revealed 7 thematic clusters, which reflect the interdisciplinary nature of the field at the intersection of motivation psychology, sensor system engineering, and sports science. The primary research areas are concentrated on technological infrastructure and motivational-behavioral models. It was established that the use of game elements contributes to increased engagement; however, the risk of diminishing intrinsic motivation due to excessive use of extrinsic stimuli is also noted. Empirical data support the effectiveness of gamified programs in enhancing cardiorespiratory endurance in the general population. Nevertheless, researchers report significant fragmentation of empirical validation and a limited number of longitudinal studies, particularly within the context of professional team sports, such as football. The research demonstrates a transition from mere IoT data collection to the real-time integration of sensor indicators, providing behavioral feedback and creating an adaptive training environment. The scientific domain of gamification in conditioning training with IoT is interdisciplinary and exhibits a clear logical evolution from technological adoption to the conceptualization of psycho-physiological effects. The conducted analysis confirms the necessity of integrating data collection via sensors with gamified mechanics based on Self-Determination Theory and Theory of Planned Behavior. Further research should focus on developing holistic interdisciplinary models, validating IoT architectures, and evaluating athletes’ physiological outcomes (aerobic power, overload markers) in the specific conditions of football training.
References
Zhao, Z., Arya, A., Orji, R., & Chan, G. (2020). Effects of a personalized fitness recommender system using gamification and continuous player modeling: System design and long-term validation study. JMIR Serious Games, 8(4), e19968. https://doi.org/10.2196/19968
Li, M., Wang, Y., Wu, Y., & Liu, H. (2021). Gamification narrative design as a predictor for mobile fitness app user persistent usage intentions: A goal priming perspective. Enterprise Information Systems, 15(10), 1501–1545. https://doi.org/10.1080/17517575.2021.1941271
Esmaeilzadeh, P. (2021a). The effects of gamification on the post-adoption behaviors of health and fitness apps’ users: The mediating role of IT identity Completed Research. Digital Innovation and Entrepreneurship (AMCIS 2021). ASSOC INFORMATION SYSTEMS. https://scholar.archive.org/work/zk4dfjy5uvggnk4bkhobhemice/access/wayback/https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1038&context=amcis202
Yang, Y., & Koenigstorfer, J. (2021). Determinants of fitness app usage and moderating impacts of education-, motivation-, and gamification-related app features on physical activity intentions: Cross-sectional survey study. Journal of Medical Internet Research, 23(7), e26063. https://doi.org/10.2196/26063
Yong, B., Xu, Z., Wang, X., Cheng, L., Li, X., Wu, X., & Zhou, Q. (2018). IoT-based intelligent fitness system. Journal of Parallel and Distributed Computing, 118(1), 14–21. https://doi.org/10.1016/j.jpdc.2017.05.006
Jamil, F., Kahng, H. K., Kim, S., & Kim, D.-H. (2021). Towards secure fitness framework based on IoT-enabled blockchain network integrated with machine learning algorithms. Sensors, 21(5), 1640. https://doi.org/10.3390/s21051640
Li, J., Gong, R., & Wang, G. (2024). Enhancing fitness action recognition with ResNet-TransFit: Integrating IoT and deep learning techniques for real-time monitoring. Alexandria Engineering Journal, 109, 89–101. https://doi.org/10.1016/j.aej.2024.07.068
Ling, T. H. Y., Wong, L. J., & Moore, R. (2019). IoT fitness device with real time health assessment and cloud storage. 2019 7th International Conference on Smart Computing & Communications (ICSCC) (p. 148–152). IEEE. https://doi.org/10.1109/ICSCC.2019.8843690
Kao, Y.-S., Nawata, K., & Huang, C.-Y. (2019). An exploration and confirmation of the factors influencing adoption of IoT-based wearable fitness trackers. International Journal of Environmental Research and Public Health, 16(18), 3227. https://doi.org/10.3390/ijerph16183227
Mora-Gonzalez, J., Perez-Lopez, I. J., & Delgado-Fernandez, M. (2020). The “$in TIME” gamification project: Using a mobile app to improve cardiorespiratory fitness levels of college students. Games for Health Journal, 9(1), 37–44. https://doi.org/10.1089/g4h.2019.0001
Hsu, C.-T., Chang, Y.-H., Chen, J.-S., Lin, H.-H., & Chou, J.-Y. (2020). Implementation of IoT device on public fitness equipment for health physical fitness improvement. 2nd International Conference on Mathematics and Computers in Science and Engineering (MACISE 2020) (p. 236–239). IEEE COMPUTER SOC. https://doi.org/10.1109/MACISE49704.2020.00050
Esmaeilzadeh, P. (2021b). The influence of gamification and information technology identity on postadoption behaviors of health and fitness app users: Empirical study in the United States. JMIR Serious Games, 9(3), e28282. https://doi.org/10.2196/28282
Ma, Z., Gao, Q., Tian, Y., Chen, Y., & Yuan, Q. (2024). Effectiveness of cooperative and competitive gamification in mobile fitness applications among occasional exercisers. Behaviour & Information Technology, 43(11), 2401–2423. https://doi.org/10.1080/0144929X.2023.2246593
Lister, C., West, J. H., Cannon, B., Sax, T., & Brodegard, D. (2014). Just a fad? Gamification in health and fitness apps. JMIR Serious Games, 2(2), 51–62. https://doi.org/10.2196/games.3413
Feng, W., Tu, R., & Hsieh, P. (2020). Can gamification increases consumers’ engagement in fitness apps? The moderating role of commensurability of the game elements. Journal of Retailing and Consumer Services, 57, 102229. https://doi.org/10.1016/j.jretconser.2020.102229
Zhao, Z., Etemad, S. A., & Arya, A. (2016). Gamification of exercise and fitness using wearable activity trackers. In Proceedings of the 10th International Symposium on Computer Science in Sports (ISCSS) (Vol. 392, p. 233–240). SPRINGER-VERLAG BERLIN. https://doi.org/10.1007/978-3-319-24560-7_30
Zhao, Z., Etemad, S. A., Arya, A., & Whitehead, A. (2016). Usability and motivational effects of a gamified exercise and fitness system based on wearable devices. In Design, user experience, and usability: Novel user experiences, PT II (Vol. 9747, p. 333–344). SPRINGER INTERNATIONAL PUBLISHING AG. https://doi.org/10.1007/978-3-319-40355-7_32
Liu, J., & Zhou, Y. (2025). Smart fitness with YOLO-Fit IoT: Real-time pose analysis and personalized training via IoT and RL. Alexandria Engineering Journal, 129, 216–225. https://doi.org/10.1016/j.aej.2025.05.068
Passos, J., Lopes, S. I., Clemente, F. M., Moreira, P. M., Rico-Gonzalez, M., Bezerra, P., & Rodrigues, L. P. (2021). Wearables and Internet of Things (IoT) technologies for fitness assessment: A systematic review. Sensors, 21(16), 5418. https://doi.org/10.3390/s21165418
Reda, R., & Carbonaro, A. (2018). Design and development of a Linked Open Data-based web portal for sharing IoT health and fitness datasets. GOODTECHS `18: Proceedings of the 4th EAI International Conference on Smart Objects and Technologies for Social Good (GOODTECHS) (с. 43–48). ASSOC COMPUTING MACHINERY. https://doi.org/10.1145/3284869.3284890
Cho, I., Kaplanidou, K., & Sato, S. (2021). Gamified wearable fitness tracker for physical activity: A comprehensive literature review. Sustainability, 13(13), 7017. https://doi.org/10.3390/su13137017
Mora-Gonzalez, J., Perez-Lopez, I. J., Esteban-Cornejo, I., & Delgado-Fernandez, M. (2020). A gamification-based intervention program that encourages physical activity improves cardiorespiratory fitness of college students: `The Matrix rEFvolution Program’. International Journal of Environmental Research and Public Health, 17(3), 877. https://doi.org/10.3390/ijerph17030877
Cai, F., Dai, G., & Han, T. (2016). Gamification design based research on fitness mobile application for university students. In Design, user experience, and usability: Novel user experiences, PT II (Vol. 9747, p. 240–251). SPRINGER INTERNATIONAL PUBLISHING AG. https://doi.org/10.1007/978-3-319-40355-7_23
Nobakht, M., Sui, Y., Seneviratne, A., & Hu, W. (2018). Permission analysis of health and fitness apps in IoT programming frameworks. 2018 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom) / 12th IEEE International Conference on Big Data Science and Engineering (IEEE BigDataSE) (p. 533–538). IEEE. https://doi.org/10.1109/TrustCom/BigDataSE.2018.00081
Nalyvaiko, O., Zhukova, O., Ivanenko, L., Shvedova, Y., & Nekrashevych, T. (2021). Gamification as a new format of projects method in blended learning conditions studying disciplines of the pedagogical cycle. Revista Romaneasca Pentru Educatie Multidimensionala, 13(4), 17–30. https://doi.org/10.18662/rrem/13.4/468
Tu, R., Hsieh, P., & Feng, W. (2019). Walking for fun or for “likes”? The impacts of different gamification orientations of fitness apps on consumers’ physical activities. Sport Management Review, 22(5), 682–693. https://doi.org/10.1016/j.smr.2018.10.005
Cotton, V., & Patel, M. S. (2019). Gamification use and design in popular health and fitness mobile applications. American Journal of Health Promotion, 33(3), 448–451. https://doi.org/10.1177/0890117118790394
Jin, R., Cai, C., Deng, T., Li, Q., & Zheng, R. (2021). MotionBeep: Enabling fitness game for collocated players with acoustic-enabled IoT devices. IEEE Internet of Things Journal, 8(13), 10755–10765. https://doi.org/10.1109/JIOT.2021.3050436
Yin, S., Cai, X., Wang, Z., Zhang, Y., Luo, S., & Ma, J. (2022). Impact of gamification elements on user satisfaction in health and fitness applications: A comprehensive approach based on the Kano model. Computers in Human Behavior, 128, 107106. https://doi.org/10.1016/j.chb.2021.107106
Domuta, A. D., Libal, O., & Strauss, C. (2023). Health and fitness apps: An analysis of gamification elements in Austria. In 6th International Conference on Informatics & Data-Driven Medicine, IDDM 2023 (Vol. 3609). RWTH AACHEN. https://ceur-ws.org/Vol-3609/paper9.pdf
Sienel, N., Muenster, P., & Zimmermann, G. (2021). Player-type-based personalization of gamification in fitness apps. In HEALTHINF: Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies – Vol. 5: HEALTHINF (p. 361–368). SCITEPRESS. https://doi.org/10.5220/0010230603610368
Windasari, N. A., & Lin, F. (2021). Why do people continue using fitness wearables? The effect of interactivity and gamification. Sage Open, 11(4), 21582440211056606. https://doi.org/10.1177/21582440211056606
Zhao, Z., Etemad, S. A., Whitehead, A., & Arya, A. (2016). Motivational impacts and sustainability analysis of a wearable-based gamified exercise and fitness system. CHI Play 2016: Proceedings of the Annual Symposium on Computer-Human Interaction in Play Companion (p. 359–365). ASSOC COMPUTING MACHINERY. https://doi.org/10.1145/2968120.2987726
Kang, S., Kim, S., & Kim, J. (2020). Forensic analysis for IoT fitness trackers and its application. Peer-to-Peer Networking and Applications, 13(2, SI), 564–573. https://doi.org/10.1007/s12083-018-0708-3
Ozdamli, F., & Milrich, F. (2023). Positive and negative impacts of gamification on the fitness industry. European Journal of Investigation in Health Psychology and Education, 13(8), 1411–1422. https://doi.org/10.3390/ejihpe13080103
Nobakht, M., Sui, Y., Seneviratne, A., & Hu, W. (2020). PGFIT: Static permission analysis of health and fitness apps in IoT programming frameworks. Journal of Network and Computer Applications, 152?, 102509. https://doi.org/10.1016/j.jnca.2019.102509
Zhou, W., & Piramuthu, S. (2014). Security/privacy of wearable fitness tracking IoT devices. In 2014 9th Iberian Conference on Information Systems and Technologies (CISTI) (p. 1-5). IEEE. https://www.researchgate.net/profile/Wei-Zhou-5/publication/269268685_Securityprivacy_of_wearable_fitness_tracking_IoT_devices/links/56068cb608ae8e08c08e80cc/Security-privacy-of-wearable-fitness-tracking-IoT-devices.pdf
Arora, C., & Razavian, M. (2021). Ethics of gamification in health and fitness-tracking. International Journal of Environmental Research and Public Health, 18(21), 11052. https://doi.org/10.3390/ijerph182111052
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