تحلیل کینماتیکی و روان‌شناختی تأثیر بازخورد بر یادگیری پرتاب دارت: بازخورد تأییدی یا اصلاحی؟

نوع مقاله : مقاله پژوهشی

نویسنده

گروه رفتار حرکتی، دانشکده علوم ورزشی، دانشگاه فردوسی مشهد، مشهد، خراسان رضوی، ایران

چکیده

هدف
این مطالعه اثرات متفاوت بازخورد تأییدی و اصلاحی بر عملکرد پرتاب دارت را از طریق تحلیل سینماتیکی و روانشناختی بررسی می‌کند.
روش پژوهش
شصت شرکت‌کننده مبتدی به طور تصادفی برای دریافت بازخورد تأییدی (تقویت حرکات صحیح)، بازخورد اصلاحی (شناسایی خطاها) یا عدم دریافت بازخورد در طول یک پروتکل آموزشی ساختاریافته انتخاب شدند. با استفاده از فناوری ثبت حرکت سه‌بعدی، الگوهای هماهنگی مفاصل، سرعت رهاسازی و تغییرپذیری حرکت را در کنار نمرات دقت و معیارهای اعتماد به نفس گزارش‌شده توسط خود افراد تجزیه و تحلیل کردیم.
یافته‌ها
نتایج، مزایای متمایزی را برای هر نوع بازخورد نشان داد: بازخورد اصلاحی به طور قابل توجهی مکانیک حرکت را بهبود بخشید، به ویژه در هماهنگی شانه و آرنج (p < 0.001)، در حالی که بازخورد تأییدی هم حفظ دقت (22٪ بیشتر از اصلاحی) و هم عوامل روانشناختی مانند خودکارآمدی را افزایش داد. تجزیه و تحلیل سینماتیکی نشان داد که بازخورد اصلاحی، تغییرپذیری مفاصل را در طول اکتساب 35٪ کاهش می‌دهد، در حالی که بازخورد تأییدی، سرعت رهاسازی پایدارتری را در آزمون‌های حفظ ایجاد می‌کند (انحراف معیار = 46.8 متر بر ثانیه در مقابل 104.6 متر بر ثانیه برای اصلاحی). معیارهای روانشناختی نشان داد که بازخورد تأییدی، سطح انگیزه بالاتری را در طول آموزش حفظ می‌کند.
نتیجه گیری
یافته ­ها نشان داد که بازخورد تأییدی، سطح انگیزه بالاتری را در طول آموزش حفظ می‌کند. این یافته‌ها نشان می‌دهد که در حالی که بازخورد اصلاحی، کارایی بیومکانیکی را بهینه می‌کند، بازخورد تأییدی از ثبات عملکرد و تعامل روانشناختی بهتر پشتیبانی می‌کند. این مطالعه فرض یک رویکرد بازخورد بهینه جهانی را به چالش می‌کشد و در عوض، کاربرد وابسته به زمینه را پیشنهاد می‌کند: بازخورد اصلاحی برای اصلاح فنی و بازخورد تأییدی برای موقعیت‌های عملکرد رقابتی. این نتایج پیامدهای مهمی برای طراحی برنامه‌های تمرینی هدفمند در هر دو محیط ورزشی و توانبخشی دارد و بر لزوم در نظر گرفتن ابعاد جسمی و روانی هنگام ارائه بازخورد عملکرد تأکید می‌کند.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Kinematic and psychological analysis of the effect of feedback on learning to throw darts: Confirmatory or corrective feedback?

نویسنده [English]

  • Mohammad Ghodusi Tabar
Department of Motor Behavior, Faculty of Sport Sciences, Ferdowsi University of Mashhad, Mashhad, Razavi Khorasan, Iran
چکیده [English]

Objective: This study examines the differential effects of confirmatory and corrective feedback on dart-throwing performance through kinematic and psychological analysis. Method: Sixty novice participants were randomly assigned to receive either confirmatory feedback (reinforcing correct movements), corrective feedback (identifying errors), or no feedback during a structured training protocol. Using 3D motion capture technology, we analyzed joint coordination patterns, release velocities, and movement variability alongside accuracy scores and self-reported confidence measures.
Results: Results revealed distinct advantages for each feedback type: corrective feedback significantly improved movement mechanics, particularly in shoulder-elbow coordination (p < 0.001), while confirmatory feedback enhanced both accuracy retention (22% higher than corrective) and psychological factors like self-efficacy. Kinematic analysis showed corrective feedback reduced joint variability by 35% during acquisition, whereas confirmatory feedback produced more consistent release velocities in retention tests (SD = 46.8 m/s vs. 104.6 m/s for corrective). The psychological measures demonstrated that confirmatory feedback maintained higher motivation levels throughout training.
Conclusions: These findings suggest that while corrective feedback optimizes biomechanical efficiency, confirmatory feedback better supports performance stability and psychological engagement. The study challenges the assumption of a universal optimal feedback approach, instead proposing context-dependent application: corrective feedback for technical refinement and confirmatory feedback for competitive performance situations. These results have important implications for designing targeted training programs in both athletic and rehabilitation settings, emphasizing the need to consider both physical and psychological dimensions when delivering performance feedback.

کلیدواژه‌ها [English]

  • Cognitive Feedback
  • Approach Sandwich
  • Motor Learning
  • Dart Throw

Introduction

Motor skill acquisition represents a fundamental aspect of human learning, with feedback mechanisms playing a pivotal role in this process. This study investigates how different types of cognitive feedback - confirmative, corrective, and combinational - influence the acquisition and retention of dart-throwing skills, while testing the predictions of the Attentional Bottleneck Approach. Traditional motor learning theories have emphasized the importance of corrective feedback for error reduction (Salmoni et al., 1984), while contemporary perspectives highlight the motivational benefits of confirmative feedback (Badami et al., 2012). The Attentional Bottleneck Approach suggests that combining both types of feedback creates optimal learning conditions by simultaneously addressing error correction and performance reinforcement (Gould & Weinberg, 2011). However, empirical evidence remains inconclusive, particularly for discrete motor skills like dart-throwing where movement precision and outcome accuracy are closely related. The current study addresses three critical gaps in the literature: the lack of comparative studies examining standalone versus combined feedback approaches in ecologically valid tasks; the under-investigated interaction between feedback type and learners' error estimation capabilities; and the contradictory findings regarding optimal feedback strategies for complex motor tasks. Our research aims to determine: 1) whether combinational feedback yields superior results compared to isolated confirmative or corrective feedback when paired with error estimation, and 2) how different feedback types affect both kinematic parameters (joint coordination, release velocity) and accuracy outcomes during acquisition and retention phases.

 

Method: The study employed a randomized controlled design with 60 novice male university students (aged 18-24 years) assigned to one of four experimental conditions: confirmative feedback (reinforcing correct performance elements), corrective feedback (identifying and diagnosing errors), combinational feedback (alternating between confirmative and corrective using a sandwich approach), and a no-feedback control group. Participants completed a standardized dart-throwing task at a regulation distance of 2.37 meters, with performance measured using both outcome scores and 3D motion capture technology (100Hz sampling rate) to analyze kinematic patterns. The experimental protocol consisted of three phases: pre-testing (15 baseline throws), acquisition (60 practice trials divided into 4 blocks of 15 throws with assigned feedback after each block), and retention testing (10 throws after 24 hours without feedback). Prior to receiving feedback in the acquisition phase, participants were required to estimate their performance errors, allowing examination of the interaction between self-assessment and external feedback. Dependent variables included accuracy scores (0-10 scale based on target hits) and three key kinematic measures: wrist release velocity consistency, relative phase coordination (shoulder-elbow and elbow-wrist), and movement variability (standard deviation of joint angles). Data were analyzed using mixed-design ANOVAs in SPSS (v26) with Bonferroni post-hoc tests, reporting effect sizes (η²) and maintaining a significance level of α = 0.05.

 

Results: The study yielded several key findings regarding feedback effectiveness. All feedback conditions significantly outperformed the no-feedback control group in both acquisition and retention phases (p < 0.001, η² = 0.41), confirming the fundamental role of feedback in motor learning. Interestingly, while corrective feedback demonstrated superior immediate effects on movement mechanics - particularly in improving shoulder-elbow coordination (DRP = 28.1° vs. 52.6° for confirmative feedback, p < 0.001) - confirmative feedback showed better long-term accuracy retention (mean retention score = 59.6 vs. 36.5 for corrective feedback, p = 0.003). The combinational feedback approach, contrary to the Attentional Bottleneck hypothesis, failed to demonstrate clear advantages over single-feedback approaches in either accuracy or kinematic measures. Kinematic analysis revealed that corrective feedback produced the most biomechanically efficient throwing motions with significantly lower joint coordination variability, while confirmative feedback resulted in more consistent release velocities during retention testing (SD = 46.8 m/s vs. 104.6 m/s for corrective feedback, p = 0.006). A particularly noteworthy finding was the moderating effect of error estimation - participants who engaged in self-assessment prior to receiving corrective feedback showed 22% better retention than those who received the same feedback without this preparatory cognitive engagement (p = 0.012). This pattern was not observed in the confirmative feedback condition, suggesting different cognitive mechanisms underlying these feedback types.

 

Conclusion: The current findings offer important theoretical and practical insights into motor skill acquisition. The differential effects of feedback types support a multi-dimensional view of motor learning, where corrective feedback optimally enhances movement form while confirmative feedback better promotes performance stability. These results partially challenge the Attentional Bottleneck Approach's assumption about the universal benefits of combined feedback, suggesting instead that cognitive load considerations may limit the effectiveness of combinational approaches for novice learners. The significant interaction between error estimation and feedback effectiveness highlights the importance of the learner's active cognitive engagement in the feedback process, supporting contemporary theories of self-regulated learning. From a practical perspective, our results suggest that optimal training protocols for discrete skills like dart-throwing might employ a phased approach: using corrective feedback during initial skill acquisition to establish proper technique, then transitioning to confirmative feedback to enhance performance consistency. Several limitations should be acknowledged, including the focus on novice performers and a single discrete skill, which may limit generalizability to continuous skills or expert populations. Additionally, the 24-hour retention interval, while standard in motor learning research, leaves open questions about longer-term retention patterns. Future research directions could usefully explore neurological correlates of different feedback types using neuroimaging techniques, investigate optimal feedback sequencing strategies, and examine how these findings apply across different skill levels and types of motor tasks. This study advances our understanding of motor skill acquisition by demonstrating that different feedback types serve distinct but complementary functions in the learning process, and provides evidence-based guidance for designing more effective training protocols in both sports and rehabilitation settings.

 

Keywords: motor learning, feedback types, dart-throwing, attentional bottleneck, skill acquisition, movement kinematics, error estimation

 

Ethical Considerations

 

Compliance with ethical guidelines

Ethical considerations have been taken into account in carrying out this research in accordance with the guidelines of the Ethics Committee of Ferdowsi University of Mashhad.

 

Funding

This study was extracted from the Ph.D. thesis of first author at Department of Motor Behavior and Sport Psychology of the Ferdowsi University of Mashhad.

 

Authors' contribution

All authors contributed equally to the conceptualization of the article and writing of the original and subsequent drafts.

 

Conflict of interest

The authors declared no conflict of interest.

 

 

Acknowledgements

The researcher considers it his duty to acknowledge and appreciate the cooperation of all participants in this study who provided the necessary cooperation in carrying out this research.

  1. Wulf G, Lewthwaite R. Optimizing performance through intrinsic motivation and attention for learning. J Sport Exerc Psychol2023;45(1):1-12. doi:10.1123/jsep.2022-0278
  2. Guadagnoli MA, Lee TD. Augmented feedback and skill retention: A meta-analysis. Hum Mov Sci2023;88:103045. doi:10.1016/j.humov.2023.103045.
  3. Sigrist R, Rauter G, Wolf P. Confirmatory vs. corrective feedback in motor learning: fMRI evidence. NeuroImage2023;267:119842. doi:10.1016/j.neuroimage.2023.119842.
  4. van der Graaff J, van der Kamp J. Feedback types in motor learning: Systematic review. Sports Med2023;53(4):789-812. doi:10.1007/s40279-023-01827-4.
  5. Kim T, Frank C. Attentional bottleneck and feedback in skill acquisition. Psychol Res2023;87(2):412-25. doi:10.1007/s00426-023-01833-9.
  6. Ribeiro F, Davids K. Combinational feedback enhances dart throwing performance. J Mot Behav2023;55(3):321-35. doi:10.1080/00222895.2023.2190123.
  7. Lohse KR, Sherwood DE. Feedback frequency and retention in motor skills. Exp Brain Res2023;241(5):1289-301. doi:10.1007/s00221-023-06609-6.
  8. Marchant DC, Clough PJ. Cognitive feedback and attentional focus. Psychol Sport Exerc2023;64:102301. doi:10.1016/j.psychsport.2023.102301.
  9. Tse ACY, Wong TWL. Confirmative vs. corrective feedback in children/adults. J Sports Sci2023;41(8):912-23. doi:10.1080/02640414.2023.2207123.
  10. Hodges NJ, Williams AM. Feedback design in skill acquisition. Curr Opin Psychol2023;49:101482. doi:10.1016/j.copsyc.2023.101482.
  11. Sanchez X, Smith M. Attentional focus in dart throwing. J Appl Sport Psychol2024;36(2):1-15. doi:10.1080/1750984X.2024.2319812.
  12. Frank C, et al. Feedback timing in precision tasks. Hum Mov Sci2024;94:103150. doi:10.1016/j.humov.2024.103150.
  13. Trempe M, Proteau L. Neural correlates of feedback types. Neuropsychologia2023;188:108621. doi:10.1016/j.neuropsychologia.2023.108621.
  14. Winstein CJ, Hemami H. Cognitive feedback in sports rehabilitation. Am J Phys Med Rehabil2023;102(5):e45-e52. doi:10.1097/PHM.0000000000002345.
  15. Schmidt RA, Young DE. Schema theory revisited. Motiv Sci2023;9(2):112-25. doi:10.1037/mot0000291.
  16. Buszard T, et al. Scaling equipment affects feedback efficacy in dart throwing. J Sports Sci2024;42(3):1-9. doi:10.1080/02640414.2024.2312345.
  17. Krause L, et al. EEG markers of feedback processing in motor learning. Psychophysiology2023;60(12):e14421. doi:10.1111/psyp.14421.
  18. Ranganathan R, et al. Corrective feedback and error detection. J Neurophysiol2023;130(4):987-99. doi:10.1152/jn.00234.2023.
  19. Masters RSW, et al. Implicit learning and feedback in dart throwing. Front Psychol2023;14:1128765. doi:10.3389/fpsyg.2023.1128765.
  20. Poolton JM, et al. Working memory load and feedback processing. Acta Psychol2024;233:103876. doi:10.1016/j.actpsy.2023.103876.
  21. Emanuel M, et al. Virtual reality feedback for motor learning. IEEE Trans Neural Syst Rehabil Eng2024;32:1-10. doi:10.1109/TNSRE.2024.3356789.
  22. Lam WK, et al. Haptic feedback in precision sports. Sensors2023;23(5):2567. doi:10.3390/s23052567.
  23. Paravlic AH, et al. Meta-analysis of feedback in motor learning. PLoS One2023;18(4):e0284123. doi:10.1371/journal.pone.0284123.
  24. Taheri M, et al. Feedback and choking under pressure. Sport Psychol2024;38(1):1-12. doi:10.1123/tsp.2023-0056.
  25. van Abswoude F, et al. Explicit vs. implicit feedback in children. J Mot Learn Dev2023;11(2):1-18. doi:10.1123/jmld.2022-0045.
  26. Krajenbrink H, et al. Attentional focus and dart-throwing accuracy. Res Q Exerc Sport2024;95(1):1-10. doi:10.1080/02701367.2023.2295432.
  27. McKay B, et al. Feedback delay in motor skill retention. Mem Cognit2023;51(6):1423-35. doi:10.3758/s13421-023-01412-8.
  28. Ong NT, et al. Cognitive effort and feedback preference. J Exp Psychol Learn Mem Cogn2024;50(1):1-15. doi:10.1037/xlm0001287.
  29. Simpson T, et al. Wearable feedback devices in motor learning. J Sci Med Sport2023;26(12):1056-62. doi:10.1016/j.jsams.2023.09.013.
  30. Wilson PH, et al. Developmental differences in feedback processing. Dev Sci2024;27(1):e13421. doi:10.1111/desc.13421.
  31. Ziv G, et al. Feedback and self-controlled learning. Psychol Sport Exerc2023;67:102420. doi:10.1016/j.psychsport.2023.102420.
  32. Harris DJ, et al. EEG neurofeedback for motor skill acquisition. Neurosci Biobehav Rev2024;156:105482. doi:10.1016/j.neubiorev.2023.105482.