Sport and fitness app uses: a review of humanities and social science perspectives

Marchant, Gonzalo; Verchère, Raphaël

doi:10.1080/16138171.2021.1918896

Cited by 16 publications

(11 citation statements)

References 71 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In line with this, gamification provides a way to disturb current behaviour or motivate changes [40,45]. Studies have shown that goal-setting and self-tracking and monitoring to help users to make progress and improve performance are more effective incentives than gamification [39,46]. Nonetheless, many studies also highlight that long-term involvement more often leads to positive results for behavioural change [43,47,48].…”

Section: Literature Review On Intervention Design For Cycling Promotionmentioning

confidence: 99%

“…We rarely found researches that study the effect of those interventions in the apps. But Soulé et al [39] shows that in general sport and fitness mobile applications can help some users set up their cycling/walking goals and achieve regular routine. However, others may find the use of the app excessive and cannot use the app in a lasting way.…”

Section: Literature Review On Intervention Design For Cycling Promotionmentioning

confidence: 99%

See 1 more Smart Citation

An investigation of the motivators and barriers of smartphone app incentives for encouraging cycling

Huang

Thomas

Groenewolt

et al. 2022

Decision Analytics Journal

View full text Add to dashboard Cite

Section: Literature Review On Intervention Design For Cycling Promotionmentioning

confidence: 99%

Section: Literature Review On Intervention Design For Cycling Promotionmentioning

confidence: 99%

An investigation of the motivators and barriers of smartphone app incentives for encouraging cycling

Huang

Thomas

Groenewolt

et al. 2022

Decision Analytics Journal

View full text Add to dashboard Cite

“…Athletes following these AI-guided programs experienced improvements in their physical capabilities, such as increased strength, speed, agility, and endurance. Personalized feedback enables athletes to make timely adjustments, improve technique and optimize their training for improved performance [12].…”

Section: Performance Enhancementmentioning

confidence: 99%

“…To show this approach, the linked article shows the impact of the use of sport apps. This helps for development by using milestone systems [13].…”

Section: 1training Efficiency and Adaptabilitymentioning

confidence: 99%

Enhancing Individual Sports Training through Artificial Intelligence: A Comprehensive Review

2023

EOA

View full text Add to dashboard Cite

The integration of artificial intelligence (AI) in sports training has emerged as a transformative approach to enhancing individual performance, optimizing training strategies, and providing personalized insights for athletes and coaches. This article presents a comprehensive review of the applications, algorithms, challenges, and future directions of AI in individual sports training. We explore the utilization of AI algorithms and techniques, including machine learning, deep learning, and computer vision, in sports apps to personalize training programs, analyze performance, provide feedback, assess injury risks, and optimize training methodologies. The article examines the scientific foundations of AI-enhanced sports training, discussing the personalization and customization of individual training, performance analysis and feedback using AI-powered tools, injury prevention and risk assessment through AI models, user experience and interface design considerations, ethical implications and data privacy, case studies and empirical evidence, challenges, and recommendations for further research. We highlight the potential of AI in transforming the way athletes train, providing tailored interventions, and optimizing performance outcomes. The article concludes by identifying areas for future research, including advanced data analytics, explainable AI models, ethical considerations, collaboration, longitudinal studies, optimization of training programs, human-AI interaction, and generalization to diverse populations. By addressing these research avenues, the field of AI-enhanced sports training can continue to evolve, supporting athletes and coaches in achieving their goals and unlocking new dimensions of performance optimization.

show abstract

“…Therefore, although gender and age have been found to influence the perceived quality of technology and especially Apps, the long-term appropriation of these devices is subject to many conditions, such as the acceptance of the App standards or the ability to do sport. However, it should be noted that people who consistently use fitness Apps have a more active lifestyle and therefore maintain the use of Apps ( 53 ). In other words, regular users of fitness Apps are generally already physically active and are long-lasting users ( 54 ).…”

Section: Introductionmentioning

confidence: 99%

Importance-performance analysis in fitness apps. A study from the viewpoint of gender and age

Rodríguez

Fernández

Torrente

et al. 2023

Front. Public Health

View full text Add to dashboard Cite

BackgroundWe are currently undergoing a profound process of digital transformation that has favoured the development and use of apps in multiple facets of people’s daily lives. In the fitness industry, this situation has facilitated the control of exercise and the maintenance of healthier lifestyles. However, it is not known how the perceived quality and importance of fitness apps vary for users based on gender and age, which is the objective of this study conducted among users of fitness centres.MethodsBy means of a convenience sample, 321 users from different centres of the boutique fitness chain Sano Centre (238 females and 83 males) took part in the study. They answered the 16 items of the MARS scale, distributed in four dimensions, in terms of importance and perceived quality. The existence of significant differences was analysed using non-parametrical statistics such as the U-Mann-Whitney (gender) and the H-Kruskal-Wallis (age). In addition, a cluster analysis, combining hierarchical and non-hierarchical methods, was analysed considering as a dependent variable the level of recommendation of fitness apps.ResultsConsidering gender, in importance-performance analysis (IPA), credibility was the most important attribute for females and quality of information for males. In the case of age, credibility was the most important attribute in all the ranges. The cluster analysis established two groups (high and low recommendations of the fitness app). In importance, the first group scored better on all factors except entertainment and interest. In valuation, the scores were lower than on importance, especially in the low recommendation group.ConclusionRegarding usage behaviour, credibility is the factor to which users attach the highest importance and rating, regardless of gender and age. The main demand focuses on improving the gestural design and visual appeal, which will facilitate a better user experience.

show abstract

Sport and fitness app uses: a review of humanities and social science perspectives

Cited by 16 publications

References 71 publications

An investigation of the motivators and barriers of smartphone app incentives for encouraging cycling

An investigation of the motivators and barriers of smartphone app incentives for encouraging cycling

Enhancing Individual Sports Training through Artificial Intelligence: A Comprehensive Review

Importance-performance analysis in fitness apps. A study from the viewpoint of gender and age

Contact Info

Product

Resources

About