Understanding Feedback in Rhythmic Gymnastics Training: An Ethnographic-Informed Study of a Competition Class

Title of the Paper

Understanding Feedback in Rhythmic Gymnastics Training: An Ethnographic-Informed Study of a Competition Class

Paper Information

• Domain: Human-Computer Interaction, Feedback Mechanisms in Sports and Dance Training
• Keywords: Rhythmic gymnastics training, feedback, technical support, dance learning, sports training, gestural interaction, field study

Research Background and Problem

• Problem or Challenge: Rhythmic gymnastics demands exceptional physical skills and artistic expression. Although feedback is crucial for athletes' skill improvement, research on feedback management and technological solutions in rhythmic gymnastics training remains limited. The lack of understanding of personalized feedback hampers the development of technologies to support rhythmic gymnastics training.
• Importance: Rhythmic gymnastics is a highly demanding Olympic sport where athletes must undergo extensive training to execute precise movements and achieve excellence. Proper feedback can significantly accelerate learning and performance optimization, making its design and application essential for improving training efficiency.
• Research Motivation and Related Work:
  • Existing literature has explored factors contributing to athletes' success, injury occurrence, and the potential of video and wearable technologies.
  • Feedback in rhythmic gymnastics training primarily relies on coaches' observational expertise, with limited research on the specific forms, timing, and quantity of feedback.
  • Related studies suggest that technology can provide auxiliary feedback for dance and sports training, but its application in rhythmic gymnastics remains underdeveloped.

Solution

• Proposed Method: This study employs qualitative methods, including field observations and semi-structured interviews, to explore the dynamics of feedback in rhythmic gymnastics training and its implications for technological design.
• Innovations:
  • Emphasizes personalized feedback, including how the form, timing, type, and amount of feedback dynamically adjust based on athletes' skill levels and specific movement types.
  • Proposes five design insights for developing feedback systems to support rhythmic gymnastics training, ranging from personalization to matching feedback timing and types.
• Implementation Steps and Key Techniques:
  • The study consists of two phases: online training observation and on-site training observation, encompassing 10 recorded training sessions.
  • In-depth interviews were conducted with 12 gymnasts and 4 coaches to analyze feedback practices and their potential impact on technological design.

Research Findings

• Specific Findings:
  • Three primary feedback modes (verbal, visual, and tactile feedback) are utilized during training to maintain athletes' performance and personalize adjustments for different exercises.
  • An innovative model was proposed to illustrate how athletes' skill levels and specific exercise types influence the timing, form, quantity, and content of feedback.
• Advantages and Comparisons:
  • Compared to existing feedback research in dance, these findings provide detailed dynamics of feedback practices in rhythmic gymnastics.
  • The exploration of feedback forms and content at the application level offers new perspectives for developing technology systems tailored to the specific needs of rhythmic gymnastics training.
• Experimental and Evaluation Results:
  • Coaches tend to simplify feedback for athletes with lower skill levels while providing more detailed technical feedback for advanced athletes, with all feedback dynamically adjusted based on exercise type.
  • Consistent results between online and on-site training observations demonstrate that feedback can adapt to different training contexts.
• Limitations and Future Directions:
  • The study was limited to a single gymnastics academy, which may not fully represent global feedback practices in rhythmic gymnastics.
  • Feedback needs for non-competitive or Olympic-level gymnasts were not addressed. Future research could explore designing technological solutions for athletes at different levels.
  • Remote training modes during the pandemic were not thoroughly investigated. Future work could consider developing hybrid training technologies.

Design Insights and Recommendations

• Integration of Warm-up and Training Structure: Technologies should include warm-up modules to prepare the body and progressively increase exercise intensity to prevent injuries.
• Three-Phase Feedback Design: Provide personalized and timely feedback before, during, and after practice to address reminders, immediate corrections, and subsequent improvements.
• Skill-Level Adapted Feedback: Systems should identify athletes' performance levels for each exercise and dynamically adjust the quantity, language complexity, and technical relevance of feedback.
• Feedback Adjustment Based on Exercise Type: Slow and simple exercises can accommodate continuous feedback, while fast and complex exercises require dynamic feedback tailored to advanced skill levels.
• Support for Group and Individual Feedback: Combine personal and team feedback to meet athletes' emotional and cognitive needs, using technology to precisely target feedback recipients.

Conclusion

This paper highlights the importance of feedback in rhythmic gymnastics training and how coaches tailor feedback to individual athletes, addressing the lack of technological support in this domain. These findings provide a foundation for future technological design in rhythmic gymnastics and expand the development of feedback technologies for related sports and dance scenarios.