| 研究生: |
林若浠 Lum, Yeuk-Hei |
|---|---|
| 論文名稱: |
精英與非精英桌球選手在虛擬環境下接發球之視覺搜尋策略差異 The visual search strategies of elite and non-elite table tennis players on the return of serve in virtual environment |
| 指導教授: |
蔡佳良
Tsai, Chia-Liang |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 體育健康與休閒研究所 Institute of Physical Education, Health & Leisure Studies |
| 論文出版年: | 2022 |
| 畢業學年度: | 110 |
| 語文別: | 英文 |
| 論文頁數: | 33 |
| 中文關鍵詞: | 虛擬環境 、視覺搜索 、眼球追蹤技術 、桌球 |
| 外文關鍵詞: | virtual environment, visual search, eye-tracking technology, table tennis |
| 相關次數: | 點閱:159 下載:0 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
在桌球比賽當中,優秀球員總是能成功地接發球。過去文獻曾提到,優秀桌球選手通常會運用視覺搜索策略注意球和球軌跡以外的位置,使得他們比新手更加擅長預測對手的發球資訊。本研究目的為比較精英桌球選手與非精英選手在視覺搜索策略上的差異,包含凝視次數、凝視時間以及熱區圖,並透過穿戴式眼動儀及眼動程式分析結果。方法:本研究招募四十六位研究參與者,年齡皆為二十多歲,包含二十三位菁英以及二十三位新手,所有人均在如同真實比賽的虛擬桌球運動環境。在實驗過程中,受試者戴上Tobii Pro Glasses 2 眼動儀觀看螢幕上的發球影片,接著開始進行接發球。Tobii Pro Glasses 2會偵測受試者的目光,並將資料傳送至Tobii Pro Lab。藉由框出桌球桌與發球者身體四周,以Tobii Pro Lab計算研究參與者目光凝視各區塊的時間及凝視次數。結果:在凝視次數方面,新手的凝視次數比菁英多[F(7,308) = 714.68, p <0.001, ηp2 = 0.94] (新手 = 9.55 ± 0.13 ; 菁英 = 6.97 ± 0.13 次)。在凝視時間方面,新手看頭[t(44) = -8.53, p < 0.001] (新手 = 7.65 ± 1.09 ; 菁英 = 5.41 ± 0.63 秒)、身體[t(44) = -3.93, p < 0.001] (新手 = 4.55 ± 1.37 ; 菁英 = 3.37 ± 0.46 秒)以及其他部位[t(44) = -6.48, p < 0.001] (新手 = 2.73 ± 1.01 ; 菁英 =1.17 ± 0.55 秒)的時間多於菁英,而精英選手則是看球拍[t(44) = 8.02, p < 0.001] (菁英 = 11.15 ± 1.32 ; 新手 = 8.74 ± 1.00 秒)以及手臂[t(44) = 11.40, p < 0.001] (菁英 = 10.15 ± 1.21 ; 新手 = 6.31 ± 1.07 秒)的時間多於新手。結論:新手在各部位之間來回觀看的凝視次數比菁英多,而且較容易將目光分散在發球者的頭以及身體其他部位,而精英選手則是會將目光集中在發球者的球拍以及手臂上。
In a table tennis competition, advanced players always make many successful returns of serves. Studies have shown that high-skilled table tennis players normally tend to pay more attention to elements other than the ball trajectory by making visual saccades and displaying better anticipatory skills than novices. The purpose of this research is to investigate the table tennis data on fixation count, fixation duration, and heat map of elite and novice players doing the returns of serves. In total, 46 participants were recruited for this research, including 23 elite table tennis players and 23 novices. A Cave Virtual Environment (VE) was set in the laboratory to allow participants to be fully immersed in a life-like table tennis match. Donning the Tobii Pro Glasses 2 eye tracker, participants watched the videos displayed on the big screen and performed the return of serve. The fixation data were analyzed by Tobii Pro Lab. Results revealed that the novices had more fixation counts than the elites [F(7,308) = 714.68, p < 0.001, ηp2 = 0.94] (novices = 9.55 ± 0.13; elites =6.97 ± 0.13 times). Regarding fixation duration, the elites fixated longer than the novices on arm [t(44) = 11.40, p < 0.001] (elites = 10.15 ± 1.21; novices = 6.31 ± 1.07 seconds) and hand-and-racket [t(44) = 8.02, p < 0.001] (elites = 11.15 ± 1.32; novices = 8.74 ± 1.00 seconds), while the novices fixated longer than the elites on head [t(44) = -8.53, p < 0.001] (novices = 7.65 ± 1.09; elites = 5.41 ± 0.63 seconds), trunk [t(44) = -3.93, p < 0.001] (novices = 4.55 ± 1.37; elites =3.37 ± 0.46 seconds), and area away from the trunk [t(44) = -6.48, p < 0.001] (novices = 2.73 ± 1.01; elites =1.17 ± 0.55 seconds).
Abernethy, B., & Russell, D. G. (1987). The relationship between expertise and visual search strategy in a racquet sport. Human Movement Science, 6(4), 283-319.
Alessandro, P., Ivan, M. L., Milena, R., Michela, P., Salvatore, S. (2016). The within-task criterion to determine successful and unsuccessful table tennis players. International Journal of Sports Science & Coaching, 11(4), 523-531.
Bootsma, R., & Wieringen, P. (1990). Timing an Attacking Forehand Drive in Table Tennis. Journal of Experimental Psychology Human Perception & Performance, 16, 21-29.
Brunnett, G., & Rusdorf, S. (2005). Real time tracking of high speed movements in the context of a table tennis application. ACM symposium on virtual reality software and technology, 10, 192-200.
Brunnett, G., Rusdorf, S., & Lorenz, M. (2006). V-Pong: an immersive table tennis simulation. IEEE Computer Graphics and Applications, 26(4), 10-13.
Brunswik, E., & Kamiya, J. (1953). Ecological Cue-Validity of “Proximity” and of Other Gestalt Factors. The American Journal of Psychology, 66(1), 20-32.
Camilo, S., & Basevitch, I., & Tenenbaum, G. (2018). Gaze Behaviors During Serve Returns in Tennis: A Comparison Between Intermediate and High-Skill Players. Journal of Sport and Exercise Psychology, 40, 1-11.
Djokic, Z., Straub, G., Malagoli, L. I., Katsikadelis, M., & Munivrana, G. (2019). Effects of Rule Changes on Performance Efficacy: Differences Between Winners and Losers Table Tennis Players. Physical Education and Sport, 17(1), 149-63
Faber, I. R., Marjie, T. E., Visscher, C., Hung, T. M., & Vries, S. J. (2018). Higher-level cognitive functions in Dutch elite and sub-elite table tennis players. PLOS ONE, 13(11), e0206151.
Ferrandez, C., Marsan, T., Poulet, Y., Rouch, P., Thoreux, P., & Sauret, C. (2021). Physiology, biomechanics and injuries in table tennis: A systematic review. Science & Sports, 36(2), 95-104.
Goulet, C., Bard, C., & Fleury, M. (1989). Expertise differences in preparing to return a tennis serve: A visual information processing approach. Journal of Sport & Exercise Psychology, 11(4), 382-398.
Hughes, M. D. (2001). Performance indicator in performance analysis. Journal of Sports Sciences, 20, 739-754.
International Olympic Committee. (2019). Popular Appeal.
Jackson, R. C., & Gudgeon, M. (2006). Anticipating serve direction: implicit sequence learning in tennis. Journal of Sports Sciences, 24(4), 340.
Katsikadelis, M., Theophilos, P., & Mantzouranis, N. (2013). The interaction between serves and match winning in table tennis players in the London 2012 Olympic Games. International Journal of Table Tennis Sciences, 8, 77-79.
Land, M.F., & McLeod, P. (2000). From eye movements to actions: how batsmen hit the ball. Nature Neuroscience, 3, 1340-1345.
Lees, A. (2003). Science and the major racket sports: a review. Journal of Sports Sciences, 21(9), 707-732.
Mann, D. L., Spratford, W., & Abernethy, B. (2013). The Head Tracks and Gaze Predicts: How the World’s Best Batters Hit a Ball. PLoS ONE, 8(3), e58289.
Michalski, S. C., Szpak, A., Saredakis, D., Ross, T. J., & Billinghurst, M. (2019). Getting your game on: Using virtual reality to improve real table tennis skills. PLoS ONE, 14(9), e0222351.
Oagaz, H., Breawn, S., & Choi, M. H., (2022). Real-time posture feedback for effective motor learning in table tennis in virtual reality. International Journal of Human-Computer Studies, 158, 102731.
Padulo, J., Pizzolato, F., Tosi, R. S., Migliaccio, G. M., Attene, G., Curcio, R., & Zagatto, A. M. (2016). Task complexity reveals expertise of table tennis players. The Journal of Sports medicine and Physical Fitness, 56(1-2), 149-156.
Piras, A., Lobietti, R., & Squatrito, S. (2010). A study of saccadic eye movement dynamics in volleyball: Comparison between athletes and non-athletes. The Journal of sports medicine and physical fitness, 50(1), 99-108.
Piras, A., Lobietti, R., & Squatrito, S. (2014). Response Time, Visual Search Strategy, and Anticipatory Skills in Volleyball Players. Journal of Ophthalmology.
Piras, A., Raffi, M., Perazzolo, M., Lanzoni, I. M., & Squatrito, S. (2017). Microsaccades and interest areas during free-viewing sport task. Journal of Sports Sciences.
Ripoll, H., & Fleurance, P. (1988). What does keeping one’s eye on the ball mean. Ergonomics, 31, 1647-1654.
Ripoll, H. (1989). Uncertainty and Visual Strategies in Table Tennis. Perceptual and Motor Skills, 68(2), 507-512.
Rodrigues, S., Vickers, J., & Williams, A. (2002). Head, eye and arm coordination in table tennis. Journal of sports sciences, 20, 187-200.
Rosker, J., & Majcen, R. Z. (2021a). Skill Level in Tennis Serve Return Is Related to Adaptability in Visual Search Behavior. Front Psychol, 12, 689378.
Rosker, J. & Majcen, R. Z. (2021b). Correlations between gaze fixations to different areas of interest are related to tennis serve return performance in two different expert groups. International Journal of Performance Analysis in Sport, 21(6), 1149-1161.
Singer, R. N., James, H., Cauraugh, D. C., Gregg, M. S., & Shane, G. F. (1996). Visual search, anticipation, and reactive comparisons between highly-skilled and beginning tennis players. Journal of Applied Sport Psychology, 8(1), 9-26.
Singh, H., & Wulf, G. (2020). The distance effect and level of expertise: Is the optimal external focus different for low-skilled and high-skilled performers? Human Movement Science, 73, 102663.
Streuber, S., Betty, J. M., Heinrich, H. B., & Stephan, D. L. R. (2012). The influence of visual information on the motor control of table tennis strokes. Presence Teleoperators & Virtual Environments, 21(3), 281-294.
Tomeo, E., Cesari, P., Aglioti, S. M., & Urgesi, C. (2012). Fooling the Kickersbut not the Goalkeepers: Behavioral and Neurophysiological Correlates of Fake Action Detection in Soccer. Cerebral Cortex, 23(11), 2765-2778.
Williams, A. M., & K, Davids. (1998). Visual Search Strategy, Selective Attention, and Expertise in Soccer. Research Quarterly for Exercise and Sport, 69(2), 111-128.
Wu, Y., Zeng, Y., Zhang, L., Wang, S., Wang, D., Tan, X., & Zhang, J. (2013). The role of visual perception in action anticipation in basketball athletes. Neuroscience, 237, 29-41.
Zhao, Q., Yingzhi, L., Kyle, J., & Zhou, C. (2018). Utilization of cues in action anticipation in table tennis players. Journal of Sports Sciences, 36(23), 1-7.