From Natural Towards Representative Decision Making in Sports: A Framework for Decision Making in Virtual and Augmented Environments.
Journal
Sports medicine (Auckland, N.Z.)
ISSN: 1179-2035
Titre abrégé: Sports Med
Pays: New Zealand
ID NLM: 8412297
Informations de publication
Date de publication:
10 2023
10 2023
Historique:
accepted:
11
06
2023
medline:
18
9
2023
pubmed:
1
9
2023
entrez:
1
9
2023
Statut:
ppublish
Résumé
Decision making is vital in complex sporting tasks but is difficult to test and train. New technologies such as virtual and augmented reality offer novel opportunities for improving decision making, yet it remains unclear whether training gains using these new approaches will improve decision making on-field. To clarify the potential benefits, a clear conceptualization of decision making is required, particularly for invasive team sports such as football, basketball and field hockey, where decisions are complex with many possible options offered. Therefore, the aim of this position paper is to establish a framework for the design of virtual and augmented environments that help invasive team sport athletes to train their decision-making capacities. To achieve this, we propose a framework for conceptualising 'natural' decision making within the performance environment in invasive team sports that views decision making as a continuous cyclical process where the ball carrier interacts with teammates to create 'windows of opportunity', and where skilled decision makers often delay decisions to create time, and in turn new opportunities, rather than necessarily selecting the first option available to them. Within the framework, we make a distinction between decision making and anticipation, proposing that decision making requires a series of on-going anticipatory judgments. Based on the framework, we subsequently highlight the consequences for testing and training decision making using virtual and augmented reality environments, in particular outlining the technological challenges that need to be overcome for natural decision making to be represented within virtual and augmented environments.
Identifiants
pubmed: 37656407
doi: 10.1007/s40279-023-01884-3
pii: 10.1007/s40279-023-01884-3
pmc: PMC10504147
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
1851-1864Informations de copyright
© 2023. The Author(s).
Références
Thorpe R, Bunker D, Almond L. Rethinking games teaching. Loughborough: Loughborough University Press; 1986. p. 17–24.
Davids K, Araújo D, Correia V, Vilar L. How small-sided and conditioned games enhance acquisition of movement and decision-making skills. Exerc Sport Sci Rev. 2013;41:154–61.
pubmed: 23558693
doi: 10.1097/JES.0b013e318292f3ec
De Groot AD. Thought and choice in chess. 1965.
Gorman AD, Abernethy B, Farrow D. Investigating the anticipatory nature of pattern perception in sport. Mem Cognit. 2011;39:894–901.
pubmed: 21264636
doi: 10.3758/s13421-010-0067-7
Gorman AD, Abernethy B, Farrow D. Evidence of different underlying processes in pattern recall and decision-making. Q J Exp Psychol. 2015;1–19.
Williams AM, Hodges NJ, North JS, Barton G. Perceiving patterns of play in dynamic sport tasks: investigating the essential information underlying skilled performance. Perception. 2006;35:317–32.
doi: 10.1068/p5310
Vaeyens R, Lenoir M, Williams AM, Philippaerts RM. Mechanisms underpinning successful decision making in skilled youth soccer players: an analysis of visual search behaviors. J Mot Behav. 2007;39:395–408.
pubmed: 17827116
doi: 10.3200/JMBR.39.5.395-408
Vaeyens R, Lenoir M, Williams AM, Mazyn L, Philippaerts RM. The effects of task constraints on visual search behavior and decision-making skill in youth soccer players. J Sport Exerc Psychol. 2007;29:147–69.
pubmed: 17568064
doi: 10.1123/jsep.29.2.147
Oudejans RR, Michaels CF, Van DB, Frissen EJP. To cross or not to cross: the effect of locomotion on street-crossing behavior. Ecol Psychol. 2010;7413:259–67.
Araújo D, Davids K, Hristovski R. The ecological dynamics of decision making in sport. Psychol Sport Exerc. 2006;7:653–76.
doi: 10.1016/j.psychsport.2006.07.002
Dicks M, Araújo D, van der Kamp J. Perception-action for the study of anticipation and decision making. In: Anticipation and decision making in sport. 2019. p. 181–99.
Araújo D, Ludovic S, Robert H, Joao HC. Ecological cognition: expert decision-making behaviour in sport. Int Rev Sport Exerc Psychol. 2019;12:1–25.
doi: 10.1080/1750984X.2017.1349826
Brunswik E. Perception. 2nd ed. Berkeley: University of California Press; 1956.
Levin Pt MF, Weiss Ot PL, Keshner Pt EA. Emergence of virtual reality as a tool for upper limb rehabilitation: incorporation of motor control and motor learning principles. Phys Ther. 2015;95:415–25.
doi: 10.2522/ptj.20130579
Faure C, Limballe A, Bideau B, Kulpa R. Virtual reality to assess and train team ball sports performance: a scoping review. J Sports Sci. 2020;38:192–205.
pubmed: 31724487
doi: 10.1080/02640414.2019.1689807
Le Noury P, Polman R, Maloney M, Gorman A. A narrative review of the current state of extended reality technology and how it can be utilised in sport. Sports Med. 2022;52:1473–89.
pubmed: 35286617
pmcid: 9213326
doi: 10.1007/s40279-022-01669-0
Düking P, Holmberg HC, Sperlich B. The potential usefulness of virtual reality systems for athletes: a short SWOT analysis. Front Physiol. 2018;9:1–4.
doi: 10.3389/fphys.2018.00128
Bird JM. The use of virtual reality head-mounted displays within applied sport psychology. J Sport Psychol Action. 2020;11:115–28.
doi: 10.1080/21520704.2018.1563573
Cotterill ST. Virtual reality and sport psychology: implications for applied practice. In: Case studies in sport and exercise psychology. 2018. p. 21–2.
Stone JA, Strafford BW, North JS, Toner C, Davids K. Effectiveness and efficiency of virtual reality designs to enhance athlete development: an ecological dynamics perspective. Mov Sports Sci. 2018;2018:51–60.
doi: 10.1051/sm/2018031
Gray R. Transfer of training from virtual to real baseball batting. Front Psychol. 2017;8:1–11.
doi: 10.3389/fpsyg.2017.02183
Koutitas G, Smith KS, Lawrence G, Metsis V, Stamper C, Trahan M, et al. A virtual and augmented reality platform for the training of first responders of the ambulance bus. ACM Int Conf Proc Ser. 2019;299–302.
Müller D, Mann D. Testing decision-making skills in football using augmented reality. Curr Iss Sport Sci. 2023;8(2):042–042.
Johnson JG, Raab M. Take the first: option-generation and resulting choices. Organ Behav Hum Decis Process. 2003;91:215–29.
doi: 10.1016/S0749-5978(03)00027-X
Raab M, Johnson JG. Expertise-based differences in search and option-generation strategies. J Exp Psychol Appl. 2007;13:158–70.
pubmed: 17924801
doi: 10.1037/1076-898X.13.3.158
Bruce L, Farrow D, Raynor A, Mann D. But I can’t pass that far! The influence of motor skill on decision making. Psychol Sport Exerc. 2012;13:152–61. https://doi.org/10.1016/j.psychsport.2011.10.005 .
doi: 10.1016/j.psychsport.2011.10.005
Roca A, Ford PR, McRobert AP, Williams AM. Perceptual-cognitive skills and their interaction as a function of task constraints in soccer. J Sport Exerc Psychol. 2013;35:144–55.
pubmed: 23535973
doi: 10.1123/jsep.35.2.144
Mann DL, Farrow D, Shuttleworth R, Hopwood M. The influence of viewing perspective on decision-making and visual search behaviour in an invasive sport. Int J Sport Psychol. 2009;40:546–64.
Panchuk D, Klusemann MJ, Hadlow SM. Exploring the effectiveness of immersive video for training decision-making capability in elite, youth basketball players. Front Psychol. 2018;9:1–9.
doi: 10.3389/fpsyg.2018.02315
van Biemen T, Müller D, Mann DL. Virtual reality as a representative training environment for football referees. Hum Mov Sci. 2023;89: 103091.
pubmed: 37084551
doi: 10.1016/j.humov.2023.103091
Alguacil FP, Fernandez J, Arce PP. Seeing in to the future: using self-propelled particle models to aid player decision-making in soccer. MIT Sloan Sports Anal Conf. 2020;1–23.
Michalczyk K. How impactful are line breaking passes? 2020 OptaPro Forum. 2020.
Abernethy B, Russel D. Expert-Novice differences in an applied selective attention task. J Sport Psychol. 1987;1–492.
Mann DL, Abernethy B, Farrow D. Action specificity increases anticipatory performance and the expert advantage in natural interceptive tasks. Acta Psychol. 2010;17–23.
Jones C, Miles T. Use of advance cues in predicting the flight of a lawn tennis ball. J Hum Mov Stud. 1978;231–5.
Roca A, Ford PR, McRobert AP, Mark Williams A. Identifying the processes underpinning anticipation and decision-making in a dynamic time-constrained task. Cogn Process. 2011;12:301–10.
Shim J, Carlton LG, Chow JW, Chae WS. The use of anticipatory visual cues by highly skilled tennis players. J Mot Behav. 2005;37:164–75.
pubmed: 15730949
doi: 10.3200/JMBR.37.2.164-175
Hopwood M, Mann D, Farrow D, Nielsen T. Does visual-perceptual training augment the fielding performance of skilled cricketers? Int J Sports Sci Coach. 2011;6:523–35.
doi: 10.1260/1747-9541.6.4.523
Abernethy B, Gill DP, Parks SL, Packer ST. Expertise and the perception of kinematic and situational probability information. Perception. 2001;30:233–52.
pubmed: 11296504
doi: 10.1068/p2872
Cañal-Bruland R, Mann DL. Time to broaden the scope of research on anticipatory behavior: a case for the role of probabilistic information. Front Psychol. 2015;6:1–3.
doi: 10.3389/fpsyg.2015.01518
Mann DL, Schaefers T, Cañal-Bruland R. Action preferences and the anticipation of action outcomes. Acta Psychol. 2014;152:1–9. https://doi.org/10.1016/j.actpsy.2014.07.004 .
doi: 10.1016/j.actpsy.2014.07.004
Farrow D, Reid M. The contribution of situational probability information to anticipatory skill. J Sci Med Sport. 2012;15:368–73. https://doi.org/10.1016/j.jsams.2011.12.007 .
doi: 10.1016/j.jsams.2011.12.007
pubmed: 22406067
Gredin NV, Broadbent DP, Williams AM, Bishop DT. Judgement utility modulates the use of explicit contextual priors and visual information during anticipation. Psychol Sport Exerc. 2019;45: 101578.
doi: 10.1016/j.psychsport.2019.101578
Gredin NV, Broadbent DP, Thomas JL, Williams AM. The role of action tendencies in expert anticipation. Asian J Sport Exerc Psychol. 2023;1:30–8.
Dicks M, Davids K, Button C. Individual differences in the visual control of intercepting a penalty kick in association football. Hum Mov Sci. 2010;29:401–11. https://doi.org/10.1016/j.humov.2010.02.008 .
doi: 10.1016/j.humov.2010.02.008
pubmed: 20359763
Le Noury P, Buszard T, Reid M, Farrow D. Examining the representativeness of a virtual reality environment for simulation of tennis performance. J Sports Sci. 2021;39:412–20.
pubmed: 32951536
doi: 10.1080/02640414.2020.1823618
Neumann DL, Moffitt RL, Thomas PR, Loveday K, Watling DP, Lombard CL, et al. A systematic review of the application of interactive virtual reality to sport. Virtual Real. 2018;22:183–98.
doi: 10.1007/s10055-017-0320-5
Hadlow S, Panchuk D, Lindsay D, Ronald M, Abernethy B. Modified perceptual training in sport: a new classification framework. Sports Med Aust. 2018;9:950–8.
Pinder RA, Davids K, Renshaw I, Araújo D. Representative learning design and functionality of research and practice in sport. J Sport Exerc Psychol. 2011;33:146–55.
pubmed: 21451175
doi: 10.1123/jsep.33.1.146
Kittel A, Larkin P, Elsworthy N, Spittle M. Using 360° virtual reality as a decision-making assessment tool in sport. J Sci Med Sport. 2019;22:1049–53. https://doi.org/10.1016/j.jsams.2019.03.012 .
doi: 10.1016/j.jsams.2019.03.012
pubmed: 30987883
Fortes LS, Almeida SS, Praça GM, Nascimento-Júnior JRA, Lima-Junior D, Barbosa BT, et al. Virtual reality promotes greater improvements than video-stimulation screen on perceptual-cognitive skills in young soccer athletes. Hum Mov Sci. 2021;79.
Discombe RM, Bird JM, Kelly A, Blake RL, Harris DJ, Vine SJ. Effects of traditional and immersive video on anticipation in cricket: a temporal occlusion study. Psychol Sport Exerc. 2022;58: 102088.
doi: 10.1016/j.psychsport.2021.102088
Wood G, Wright DJ, Harris D, Pal A, Franklin ZC, Vine SJ. Testing the construct validity of a soccer-specific virtual reality simulator using novice, academy, and professional soccer players. Virtual Real. 2021;25:43–51.
doi: 10.1007/s10055-020-00441-x
Adams K, Kiefer A, Panchuk D, Hunter A, MacPherson R, Spratford W. From the field of play to the laboratory: recreating the demands of competition with augmented reality simulated sport. J Sports Sci. 2020;38:486–93.
pubmed: 31865835
doi: 10.1080/02640414.2019.1706872
Dessing JC, Craig CM. Bending it like Beckham: how to visually fool the goalkeeper. PLoS One. 2010;5.
Hohmann T, Obelöer H, Schlapkohl N, Raab M. Does training with 3D videos improve decision-making in team invasion sports? J Sports Sci. 2016;34:746–55.
pubmed: 26207956
doi: 10.1080/02640414.2015.1069380
Lorains M, Ball K, MacMahon C. An above real time training intervention for sport decision making. Psychol Sport Exerc. 2013;14:670–4.
doi: 10.1016/j.psychsport.2013.05.005
Gil-Arias A, Moreno MP, Garciá-Mas A, Moreno A, Garciá-González L, Del Villar F. Reasoning and action: implementation of a decision-making program in sport. Span J Psychol. 2016;19.
Raab M, Araújo D. Embodied cognition with and without mental representations: the case of embodied choices in sports. Front Microbiol. 2019;10.
Gray R. Embodied perception in sport. Int Rev Sport Exerc Psychol. 2014;7:72–86.
doi: 10.1080/1750984X.2013.871572
Craig C. Understanding perception and action in sport: how can virtual reality technology help ? Sports Technol. 2014;37–41.
Weigelt M, Güldenpenning I, Steggemann-Weinrich Y, Alhaj Ahmad Alaboud M, Kunde W. Control over the processing of the opponent’s gaze direction in basketball experts. Psychon Bull Rev. 2017;24:828–34.
Kittel A, Larkin P, Cunningham I, Spittle M. 360° Virtual reality: a SWOT analysis in comparison to virtual reality. Front Psychol. 2020;11.
Furley P, Memmert D. Coaches’ implicit associations between size and giftedness: implications for the relative age effect. J Sports Sci. 2016;34:459–66.
pubmed: 26096053
doi: 10.1080/02640414.2015.1061198
Laakso T, Travassos B, Liukkonen J, Davids K. Field location and player roles as constraints on emergent 1-vs-1 interpersonal patterns of play in football. Hum Mov Sci. 2017;54:347–53.
pubmed: 28688301
doi: 10.1016/j.humov.2017.06.008
Fernandez J, Bornn L. Wide open spaces: a statistical technique for measuring space creation in professional soccer. MIT Sloan Sports Anal Conf. 2018;1–19.
Fernández J, Bornn L, Cervone D. A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessions. Mach Learn. 2021.
Starke S, Zhao Y, Komura T, Zaman K. Local motion phases for learning multi-contact character movements. ACM Trans Graph. 2020;39.
Decroos T, Davis J. Characterizing Soccer Players ’ Playing Style from Match Event Streams. In: Joint European conference on machine learning and knowledge discovery in databases. 2019. pp. 569–84.
Stein M, Schreck T, Keim DA. Tackling similarity search for soccer match analysis: multimodal distance measure and interactive query definition. IEEE Comput Graph Appl. 2019;39:60–71.
pubmed: 31199254
doi: 10.1109/MCG.2019.2922224
Ryu D, Abernethy B, Mann DL, Poolton JM. The contributions of central and peripheral vision to expertise in basketball: how blur helps to provide a clearer picture. J Exp Psychol Hum Percept Perform. 2015;41:167–85.
pubmed: 25485663
doi: 10.1037/a0038306
Withagen R, Michaels CF. The role of feedback information for calibration and attunement in perceiving length by dynamic touch. J Exp Psychol Hum Percept Perform. 2005;31:1379–90.
pubmed: 16366796
doi: 10.1037/0096-1523.31.6.1379