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Research Article

Mechanisms for handling uncertainty in sensorimotor control in sports: a scoping review

, &
Received 30 May 2023, Accepted 30 Oct 2023, Published online: 26 Nov 2023

References

  • Abernethy, B., Gill, D. P., Parks, S. L., & Packer, S. T. (2001). Expertise and the perception of kinematic and situational probability information. Perception, 30(2), 233–252. https://doi.org/10.1068/p2872
  • Adie, J. M., Renshaw, I., Polman, R., Thompson, M. B., & Mann, D. L. (2020). When in doubt, it’s not out: Match format is associated with differences in elite-level cricket umpires’ leg-before-wicket decisions. Psychology of Sport and Exercise, 51. https://doi.org/10.1016/j.psychsport.2020.101760
  • Ankarali, M. M., Sen, H. T., De, A., Okamura, A. M., & Cowan, N. J. (2014). Haptic feedback enhances rhythmic motor control by reducing variability, not improving convergence rate. Journal of Neurophysiology, 111(6), 1286–1299. https://doi.org/10.1152/jn.00140.2013
  • Arthur, T., & Harris, D. J. (2021). Predictive eye movements are adjusted in a Bayes-optimal fashion in response to unexpectedly changing environmental probabilities. Cortex, 145, 212–225. https://doi.org/10.1016/j.cortex.2021.09.017
  • Bardy, B. G., & Laurent, M. (1998). How is body orientation controlled during somersaulting? Journal of Experimental Psychology: Human Perception and Performance, 24(3), 963–977. https://doi.org/10.1037/0096-1523.24.3.963
  • Bar-Eli, M., Azar, O. H., Ritov, I., Keidar-Levin, Y., & Schein, G. (2007). Action bias among elite soccer goalkeepers: The case of penalty kicks. Journal of Economic Psychology, 28(5), 606–621. https://doi.org/10.1016/j.joep.2006.12.001
  • Berg, W. P., & Hughes, M. R. (2017). The effect of load uncertainty and foreperiod regularity on anticipatory and compensatory neuromotor control in catching. Motor Control, 21(1), 1–25. https://doi.org/10.1123/mc.2015-0003
  • Berg, W. P., & Hughes, M. R. (2020). The effect of load uncertainty on neuromotor control in catching: Gender differences and short foreperiods. Journal of Motor Behavior, 52(3), 318–332. https://doi.org/10.1080/00222895.2019.1622503
  • Berg, W. P., Wade, M. G., & Greer, N. L. (1994). Visual regulation of gait in bipedal locomotion: Revisiting Lee, Lishman, and Thomson (1982). Journal of Experimental Psychology: Human Perception and Performance, 20(4), 854–863. https://doi.org/10.1037/0096-1523.20.4.854
  • Bernstein, N. A. (1987). Bewegungsphysiologie. J. A. Barth. First publications 1935-1965.
  • Bertucco, M., Dunning, A., & Sanger, T. D. (2020). Tuning of standing postural responses to instability and cost function. Neuroscience, 428, 100–110. https://doi.org/10.1016/j.neuroscience.2019.12.043
  • Betzler, N. F., Monk, S. A., Wallace, E. S., & Otto, S. R. (2014). The relationships between driver clubhead presentation characteristics, ball launch conditions and golf shot outcomes. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, 228(4), 242–249. https://doi.org/10.1177/1754337114541884
  • Bland, A. R., & Schaefer, A. (2012). Different varieties of uncertainty in human decision-making. Frontiers in Neuroscience, 6, 85. https://doi.org/10.3389/fnins.2012.00085
  • Blenkinsop, G. M., Pain, M. T. G., & Hiley, M. J. (2016). Evaluating feedback time delay during perturbed and unperturbed balance in handstand. Human Movement Science, 48, 112–120. https://doi.org/10.1016/j.humov.2016.04.011
  • Bootsma, R. J., & van Wieringen, P. C. W. (1990). Timing an attacking forehand drive in table tennis. Journal of Experimental Psychology: Human Perception and Performance, 16(1), 21–29. https://doi.org/10.1037/0096-1523.16.1.21
  • Burdet, E., Osu, R., Franklin, D. W., Milner, T. E., & Kawato, M. (2001). The central nervous system stabilizes unstable dynamics by learning optimal impedance. Nature, 414(6862), 446–449. https://doi.org/10.1038/35106566
  • Burgess-Limerick, R., Abernethy, B., & Neal, R. J. (1991). Experience and backswing movement time variability. Human Movement Science, 10(6), 621–627. https://doi.org/10.1016/0167-9457(91)90019-T
  • Cañal-Bruland, R., Müller, F., Lach, B., & Spence, C. (2018). Auditory contributions to visual anticipation in tennis. Psychology of Sport and Exercise, 36, 100–103. https://doi.org/10.1016/j.psychsport.2018.02.001
  • Crognier, L., & Féry, Y.-A. (2005). Effect of tactical initiative on predicting passing shots in tennis. Applied Cognitive Psychology, 19(5), 637–649. https://doi.org/10.1002/acp.1100
  • Davids, K., Bennett, S., Handford, C., & Jones, B. (1999). Acquiring coordination in self-paced, extrinsic timing tasks: A constraints-led perspective. International Journal of Sport Psychology, 30(4), 437–461.
  • Den Hartigh, R. J. R., Cox, R. F. A., Gernigon, C., Van Yperen, N. W., & Van Geert, P. L. C. (2015). Pink noise in rowing ergometer performance and the role of skill level. Motor Control, 19(4), 355–369. https://doi.org/10.1123/mc.2014-0071
  • Dupuy, M. A., Mottet, D., & Ripoll, H. (2000). The regulation of release parameters in underarm precision throwing. Journal of Sports Sciences, 18(6), 375–382. https://doi.org/10.1080/02640410050074304
  • Eckerle, J. J., Berg, W. P., & Ward, R. M. (2012). The effect of load uncertainty on anticipatory muscle activity in catching. Experimental Brain Research, 220, 311–318. https://doi.org/10.1007/s00221-012-3139-z
  • Ernst, M. O., & Banks, M. S. (2002). Humans integrate visual and haptic information in a statistically optimal fashion. Nature, 415(6870), 429–433. https://doi.org/10.1038/415429a
  • Faisal, A. A., Selen, L. P., & Wolpert, D. M. (2008). Noise in the nervous system. Nature reviews neuroscience, 9(4), 292–303. https://www.ncbi.nlm.nih.gov/pubmed/18319728
  • Farrow, D., & Reid, M. (2012). The contribution of situational probability information to anticipatory skill. Journal of Science and Medicine in Sport, 15(4), 368–373. https://doi.org/10.1016/j.jsams.2011.12.007
  • Franklin, D. W., & Wolpert, D. M. (2011). Computational mechanisms of sensorimotor control. Neuron, 72(3), 425–442. https://doi.org/10.1016/j.neuron.2011.10.006
  • Franks, I. M., Weicker, D., & Robertson, D. G. E. (1985). The kinematics, movement phasing and timing of a skilled action in response to varying conditions of uncertainty. Human Movement Science, 4(2), 91–105. https://doi.org/10.1016/0167-9457(85)90005-3
  • Friston, K. (2010). The free-energy principle: a unified brain theory? Nature Reviews Neuroscience, 11(2), 127–138. https://doi.org/10.1038/nrn2787
  • Friston, K. (2011). What is optimal about motor control? Neuron, 72(3), 488–498. https://doi.org/10.1016/j.neuron.2011.10.018
  • Gallivan, J. P., Chapman, C. S., Wolpert, D. M., & Flanagan, J. R. (2018). Decision-making in sensorimotor control. Nature Reviews Neuroscience, 19(9), 519–534. https://doi.org/10.1038/s41583-018-0045-9
  • Goodman, S., Haufler, A., Shim, J., & Hatfieldd, B. (2009). Regular and random components in aiming-point trajectory during rifle aiming and shooting. Journal of Motor Behavior, 41(4), 367–384. https://doi.org/10.3200/JMBR.41.4.367-384
  • Gray, R. (2002). “Markov at the Bat”: A model of cognitive processing in baseball batters. Psychological Science, 13(6), 542–547. https://doi.org/10.1111/1467-9280.00495
  • Gray, R. (2009). How do batters use visual, auditory, and tactile information about the success of a baseball swing? Research Quarterly for Exercise and Sport, 80(3), 491–501. https://doi.org/10.1080/02701367.2009.10599587
  • Gray, R., & Cañal-Bruland, R. (2018). Integrating visual trajectory and probabilistic information in baseball batting. Psychology of Sport and Exercise, 36, 123–131. https://doi.org/10.1016/j.psychsport.2018.02.009
  • Gredin, N. V., Bishop, D. T., Broadbent, D. P., Tucker, A., & Williams, A. M. (2018). Experts integrate explicit contextual priors and environmental information to improve anticipation efficiency. Journal of Experimental Psychology: Applied, 24(4), 509–520. https://doi.org/10.1037/xap0000174
  • Gredin, N. V., Bishop, D. T., Williams, A. M., & Broadbent, D. P. (2020a). Integrating explicit contextual priors and kinematic information during anticipation. Journal of Sports Sciences, 39(7), 783–791. https://doi.org/10.1080/02640414.2020.1845494
  • Gredin, N. V., Bishop, D. T., Williams, A. M., & Broadbent, D. P. (2020b). The use of contextual priors and kinematic information during anticipation in sport: Toward a Bayesian integration framework. International Review of Sport and Exercise Psychology, 1–25. https://doi.org/10.1080/1750984X.2020.1855667
  • Gredin, N. V., Broadbent, D. P., Findon, J. L., Williams, A. M., & Bishop, D. T. (2020c). The impact of task load on the integration of explicit contextual priors and visual information during anticipation. Psychophysiology, 57(6), e13578. https://doi.org/10.1111/psyp.13578
  • Gredin, N. V., Broadbent, D. P., Williams, A. M., & Bishop, D. T. (2019). Judgement utility modulates the use of explicit contextual priors and visual information during anticipation. Psychology of Sport and Exercise, 45, 101578. https://doi.org/10.1016/j.psychsport.2019.101578
  • Griffiths, T. L., Chater, N., Norris, D., & Pouget, A. (2012). How the Bayesians got their beliefs (and what those beliefs actually are): comment on Bowers and Davis (2012). Psychological Bulletin, 138(3), 415–422. https://doi.org/10.1037/a0026884
  • Güldenpenning, I., Jackson, R. C., & Weigelt, M. (2023). Action outcome probability influences the size of the head-fake effect in basketball. Psychology of Sport and Exercise, 68, 102467. https://doi.org/10.1016/j.psychsport.2023.102467
  • Güldenpenning, I., Alaboud, M. A. A., Kunde, W., & Weigelt, M. (2018). The impact of global and local context information on the processing of deceptive actions in game sports. German Journal of Exercise and Sport Research, 48(3), 366–375. https://doi.org/10.1007/s12662-018-0493-4
  • Harris, D. J., Arthur, T., Broadbent, D. P., Wilson, M. R., Vine, S. J., & Runswick, O. R. (2022a). An active inference account of skilled anticipation in sport: Using computational models to formalise theory and generate new hypotheses. Sports Medicine, 52(9), 2023–2038. https://doi.org/10.1007/s40279-022-01689-w
  • Harris, D. J., Arthur, T., Vine, S. J., Liu, J., Abd Rahman, H. R., Han, F., & Wilson, M. R. (2022b). Task-evoked pupillary responses track precision-weighted prediction errors and learning rate during interceptive visuomotor actions. Scientific Reports, 12, Article 22098. https://doi.org/10.1038/s41598-022-26544-w
  • Hay, J. G. (1988). Approach strategies in the long jump. International Journal of Sport Biomechanics, 4(2), 114–129. https://doi.org/10.1123/ijsb.4.2.114
  • Hay, J. G., & Koh, T. J. (1988). Evaluating the approach in the horizontal jumps. International Journal of Sport Biomechanics, 4(4), 372–392. https://doi.org/10.1123/ijsb.4.4.372
  • Heinen, T., Koschnick, J., Schmidt-Maass, D., & Vinken, P. M. (2014). Gymnasts utilize visual and auditory information for behavioural synchronization in trampolining. Biology of Sport, 31(3), 223–226. https://doi.org/10.5604/20831862.1111850
  • Helm, F., Cañal-Bruland, R., Mann, D. L., Troje, N. F., & Munzert, J. (2020). Integrating situational probability and kinematic information when anticipating disguised movements. Psychology of Sport and Exercise, 46, 101607. https://doi.org/10.1016/j.psychsport.2019.101607
  • Hiley, M. J., Zuevsky, V. V., & Yeadon, M. R. (2013). Is skilled technique characterized by high or low variability? An analysis of high bar giant circles. Human Movement Science, 32(1), 171–180. https://doi.org/10.1016/j.humov.2012.11.007
  • Hogan, N. (1984). Adaptive control of mechanical impedance by coactivation of antagonist muscles. IEEE Transactions on Automatic Control, 29(8), 681–690. https://doi.org/10.1109/TAC.1984.1103644
  • Horan, S. A., Evans, K., & Kavanagh, J. J. (2011). Movement variability in the golf swing of male and female skilled golfers. Medicine & Science in Sports & Exercise, 43(8), 1474–1483. https://doi.org/10.1249/MSS.0b013e318210fe03
  • Hossner, E. J., Käch, B., & Enz, J. (2016). On the optimal degree of fluctuations in practice for motor learning. Human Movement Science, 47, 231–239. https://doi.org/10.1016/j.humov.2015.06.007
  • Iino, Y., Yoshioka, S., & Fukashiro, S. (2017). Uncontrolled manifold analysis of joint angle variability during table tennis forehand. Human Movement Science, 56, 98–108. https://doi.org/10.1016/j.humov.2017.10.021
  • Jackson, R. C., Barton, H., & Bishop, D. T. (2020). Knowledge is power? Outcome probability information impairs detection of deceptive intent. Psychology of Sport and Exercise, 50), https://doi.org/10.1016/j.psychsport.2020.101744
  • Kennel, C., Streese, L., Pizzera, A., Justen, C., Hohmann, T., & Raab, M. (2015). Auditory reafferences: The influence of real-time feedback on movement control. Frontiers in Psychology, 6, 1–6. https://doi.org/10.3389/fpsyg.2015.00069
  • Kersten, D., Mamassian, P., & Yuille, A. (2004). Object perception as Bayesian inference. Annual Review of Psychology, 55(1), 271–304. https://doi.org/10.1146/annurev.psych.55.090902.142005
  • Körding, K. P., & Wolpert, D. M. (2004). Bayesian integration in sensorimotor learning. Nature, 427(6971), 244–247. https://doi.org/10.1038/nature02169
  • Körding, K. P., & Wolpert, D. M. (2006). Bayesian decision theory in sensorimotor control. Trends in Cognitive Sciences, 10(7), 319–326. https://doi.org/10.1016/j.tics.2006.05.003
  • Krabben, K. J., van der Kamp, J., & Mann, D. L. (2018). Fight without sight: The contribution of vision to judo performance. Psychology of Sport and Exercise, 37, 157–163. https://doi.org/10.1016/j.psychsport.2017.08.004
  • Lee, D. N., Lishman, J. R., & Thomson, J. A. (1982). Regulation of gait in long jumping. Journal of Experimental Psychology: Human Perception and Performance, 8(3), 448–459. https://doi.org/10.1037/0096-1523.8.3.448
  • Leukel, C., Taube, W., Lorch, M., & Gollhofer, A. (2012). Changes in predictive motor control in drop-jumps based on uncertainties in task execution. Human Movement Science, 31(1), 152–160. https://doi.org/10.1016/j.humov.2011.04.006
  • Loffing, F., & Hagemann, N. (2014). On-court position influences skilled tennis players’ anticipation of shot outcome. Journal of Sport and Exercise Psychology, 36(1), 14–26. https://doi.org/10.1123/jsep.2013-0082
  • Loffing, F., Sölter, F., Hagemann, N., & Strauss, B. (2016). On-court position and handedness in visual anticipation of stroke direction in tennis. Psychology of Sport and Exercise, 27, 195–204. https://doi.org/10.1016/j.psychsport.2016.08.014
  • Loffing, F., Stern, R., & Hagemann, N. (2015). Pattern-induced expectation bias in visual anticipation of action outcomes. Acta Psychologica, 161, 45–53. https://doi.org/10.1016/j.actpsy.2015.08.007
  • Magnaguagno, L., & Hossner, E. J. (2020). The impact of self-generated and explicitly acquired contextual knowledge on anticipatory performance. Journal of Sports Sciences, 38(18), 2108–2117. https://doi.org/10.1080/02640414.2020.1774142
  • Magnaguagno, L., Zahno, S., Kredel, R., & Hossner, E.-J. (2022). Contextual information in situations of uncertainty: The value of explicit-information provision depends on expertise level, knowledge acquisition and prior-action congruency. Psychology of Sport and Exercise, 59, 102109. https://doi.org/10.1016/j.psychsport.2021.102109
  • Mann, D. L., Schaefers, T., & Cañal-Bruland, R. (2014). Action preferences and the anticipation of action outcomes. Acta Psychologica, 152, 1–9. https://doi.org/10.1016/j.actpsy.2014.07.004
  • Mather, G. (2008). Perceptual uncertainty and line-call challenges in professional tennis. Proceedings of the Royal Society B: Biological Sciences, 275, 1645–1651. https://doi.org/10.1098/rspb.2008.0211
  • Mazyn, L. I. N., Savelsbergh, G. J. P., Montagne, G., & Lenoir, M. (2007). Planning and on-line control of catching as a function of perceptual-motor constraints. Acta Psychologica, 126(1), 59–78. https://doi.org/10.1016/j.actpsy.2006.10.001
  • McIntyre, J., Zago, M., Berthoz, A., & Lacquaniti, F. (2001). Does the brain model Newton's laws? Nature Neuroscience, 4(7), 693–694. https://doi.org/10.1038/89477
  • Milazzo, N., Farrow, D., Ruffault, A., & Fournier, J. F. (2016). Do karate fighters use situational probability information to improve decision-making performance during on-mat tasks? Journal of Sports Sciences, 34(16), 1547–1556. https://doi.org/10.1080/02640414.2015.1122824
  • Misirlisoy, E., & Haggard, P. (2014). Asymmetric predictability and cognitive competition in football penalty shootouts. Current Biology, 24(16), 1918–1922. https://doi.org/10.1016/j.cub.2014.07.013
  • Morrison, A., McGrath, D., & Wallace, E. (2014). Changes in club head trajectory and planarity throughout the golf swing. Procedia Engineering, 72, 144–149. https://doi.org/10.1016/j.proeng.2014.06.083
  • Morrison, A., McGrath, D., & Wallace, E. S. (2016). Motor abundance and control structure in the golf swing. Human Movement Science, 46, 129–147. https://doi.org/10.1016/j.humov.2016.01.009
  • Murphy, C. P., Jackson, R. C., Cooke, K., Roca, A., Benguigui, N., & Williams, A. M. (2016). Contextual information and perceptual-cognitive expertise in a dynamic, temporally-constrained task. Journal of Experimental Psychology: Applied, 22(4), 455–470. https://doi.org/10.1037/xap0000094
  • Murphy, C. P., Jackson, R. C., & Williams, A. M. (2018). The role of contextual information during skilled anticipation. Quarterly Journal of Experimental Psychology, 71(10), 2070–2087. https://doi.org/10.1177/1747021817739201
  • Nakamoto, H., Fukuhara, K., Torii, T., Takamido, R., & Mann, D. L. (2022). Optimal integration of kinematic and ball-flight information when perceiving the speed of a moving ball. Frontiers in Sports and Active Living, 4, Article 930295. https://doi.org/10.3389/fspor.2022.930295
  • Nakano, N., Inaba, Y., Fukashiro, S., & Yoshioka, S. (2020). Basketball players minimize the effect of motor noise by using near-minimum release speed in free-throw shooting. Human Movement Science, 70, 102583. https://doi.org/10.1016/j.humov.2020.102583
  • Navia, J. A., Van der Kamp, J., & Ruiz, L. M. (2013). On the use of situation and body information in goalkeeper actions during a soccer penalty kick. International Journal of Sport Psychology, 44(3), 243–251. https://doi.org/10.7352/IJSP
  • O'Brien, B., Juhas, B., Bienkiewicz, M., Buloup, F., Bringoux, L., & Bourdin, C. (2020). Online sonification for golf putting gesture: Reduced variability of motor behaviour and perceptual judgement. Experimental Brain Research, 238(4), 883–895. https://doi.org/10.1007/s00221-020-05757-3
  • O'Brien, B., Juhas, B., Bienkiewicz, M., Buloup, F., Bringoux, L., & Bourdin, C. (2021). Sonification of golf putting gesture reduces swing movement variability in novices. Research Quarterly for Exercise and Sport, 92(3), 301–310. https://doi.org/10.1080/02701367.2020.1726859
  • Petri, K., Schmidt, T., & Witte, K. (2020). The influence of auditory information on performance in table tennis. European Journal of Human Movement, 45. https://doi.org/10.21134/eurjhm.2020.45.7
  • Reeves, N. P., Pathak, P., Popovich, Jr., J. M., & Vijayanagar, V. (2013). Limits in motor control bandwidth during stick balancing. Journal of Neurophysiology, 109(10), 2523–2527. https://doi.org/10.1152/jn.00429.2012
  • Reeves, N. P., Popovich, J. M., Vijayanagar, V., & Pathak, P. K. (2016). Less precise motor control leads to increased agonist-antagonist muscle activation during stick balancing. Human Movement Science, 47, 166–174. https://doi.org/10.1016/j.humov.2016.03.006
  • Runswick, O. R., Roca, A., Williams, A. M., McRobert, A. P., & North, J. S. (2018). The temporal integration of information during anticipation. Psychology of Sport and Exercise, 37, 100–108. https://doi.org/10.1016/j.psychsport.2018.05.001
  • Sanderson, F. H. (1983). The effect of directional uncertainty on reaction time and movement time in a fencing task. Journal of Sports Sciences, 1(2), 105–110. https://doi.org/10.1080/02640418308729667
  • Santello, M., McDonagh, M. J., & Challis, J. H. (2001). Visual and non-visual control of landing movements in humans. The Journal of Physiology, 537(1), 313–327. https://doi.org/10.1111/j.1469-7793.2001.0313k.x
  • Schaffert, N., Oldag, B., & Cesari, P. (2020). Sound matters: The impact of auditory deprivation on movement precision in rowing. European Journal of Sport Science, 20(10), 1299–1306. https://doi.org/10.1080/17461391.2019.1710265
  • Scholz, J. P., & Schöner, G. (1999). The uncontrolled manifold concept: Identifying control variables for a functional task. Experimental Brain Research, 126(3), 289–306. https://doi.org/10.1007/s002210050738
  • Scholz, J. P., Schoner, G., & Latash, M. L. (2000). Identifying the control structure of multijoint coordination during pistol shooting. Experimental Brain Research, 135(3), 382–404. https://doi.org/10.1007/s002210000540
  • Scott, M. A., Li, F. X., & Davids, K. (1997). Expertise and the regulation of gait in the approach phase of the long jump. Journal of Sports Sciences, 15(6), 597–605. https://doi.org/10.1080/026404197367038
  • Sheppard, A., & Li, F.-X. (2007). Expertise and the control of interception in table tennis. European Journal of Sport Science, 7(4), 213–222. https://doi.org/10.1080/17461390701718505
  • Sinn, S. R., Berg, W. P., Vachon, G. E., & Hughes, M. R. (2023). The role of anticipatory and reflexive compensatory muscle activation in catching errors under load uncertainty. Experimental Brain Research, 241(5), 1411–1419. https://doi.org/10.1007/s00221-023-06614-9
  • Sinnett, S., & Kingstone, A. (2010). A preliminary investigation regarding the effect of tennis grunting: Does white noise during a tennis shot have a negative impact on shot perception? PLoS One, 5(10), e13148. https://doi.org/10.1371/journal.pone.0013148
  • Sors, F., Lath, F., Bader, A., Santoro, I., Galmonte, A., Agostini, T., & Murgia, M. (2018). Predicting the length of volleyball serves: The role of early auditory and visual information. PLoS One, 13(12), e0208174. https://doi.org/10.1371/journal.pone.0208174
  • Sors, F., Murgia, M., Santoro, I., Prpic, V., Galmonte, A., & Agostini, T. (2017). The contribution of early auditory and visual information to the discrimination of shot power in ball sports. Psychology of Sport and Exercise, 31, 44–51. https://doi.org/10.1016/j.psychsport.2017.04.005
  • Sternad, D. (2018). It’s not (only) the mean that matters: Variability, noise and exploration in skill learning. Current Opinion in Behavioral Sciences, 20, 183–195. https://doi.org/10.1016/j.cobeha.2018.01.004
  • Stevenson, I. H., Fernandes, H. L., Vilares, I., Wei, K., & Kording, K. P. (2009). Bayesian integration and non-linear feedback control in a full-body motor task. PLoS Computational Biology, 5(12), e1000629. https://doi.org/10.1371/journal.pcbi.1000629
  • Takeuchi, T. (1993). Auditory information in playing tennis. Perceptual and Motor Skills, 76(3_suppl), 1323–1328. https://doi.org/10.2466/pms.1993.76.3c.1323
  • Todorov, E. (2004). Optimality principles in sensorimotor control. Nature Neuroscience, 7(9), 907–915. https://doi.org/10.1038/nn1309
  • Todorov, E., & Jordan, M. I. (2002). Optimal feedback control as a theory of motor coordination. Nature Neuroscience, 5(11), 1226–1235. https://doi.org/10.1038/nn963
  • Tricco, A. C., Lillie, E., Zarin, W., O'Brien, K. K., Colquhoun, H., Levac, D., Moher, D., Peters, M. D. J., Horsley, T., Weeks, L., Hempel, S., Akl, E. A., Chang, C., McGowan, J., Stewart, L., Hartling, L., Aldcroft, A., Wilson, M. G., Garritty, C., … Straus, S. E. (2018). PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation. Annals of Internal Medicine, 169, 467–473. https://doi.org/10.7326/M18-0850
  • Triolet, C., Benguigui, N., Le Runigo, C., & Williams, M. (2013). Quantifying the nature of anticipation in professional tennis. Journal of Sports Sciences, 31(8), 820–830. https://doi.org/10.1080/02640414.2012.759658
  • Trommershäuser, J., Maloney, L. T., & Landy, M. S. (2003). Statistical decision theory and the selection of rapid, goal-directed movements. Journal of the Optical Society of America A, 20(7), 1419–1433. https://doi.org/10.1364/JOSAA.20.001419
  • Trommershäuser, J., Maloney, L. T., & Landy, M. S. (2008). Decision making, movement planning and statistical decision theory. Trends in Cognitive Sciences, 12(8), 291–297. https://doi.org/10.1016/j.tics.2008.04.010
  • Tucker, C. B., Anderson, R., & Kenny, I. C. (2013). Is outcome related to movement variability in golf? Sports Biomechanics, 12(4), 343–354. https://doi.org/10.1080/14763141.2013.784350
  • van Soest, A. J., Casius, L. J., de Kok, W., Krijger, M., Meeder, M., & Beek, P. J. (2010). Are fast interceptive actions continuously guided by vision? Revisiting Bootsma and van Wieringen (1990). Journal of Experimental Psychology: Human Perception and Performance, 36(4), 1040–1055. https://doi.org/10.1037/a0016890
  • Wang, Y., Ji, Q., & Zhou, C. (2019). Effect of prior cues on action anticipation in soccer goalkeepers. Psychology of Sport and Exercise, 43, 137–143. https://doi.org/10.1016/j.psychsport.2019.02.001
  • Whittier, T. T., Weller, Z. D., & Fling, B. W. (2022). Novel applications of Bayesian inference clarify sensorimotor uncertainty during stepping movements. Neuropsychologia, 173, 108310–8. https://doi.org/10.1016/j.neuropsychologia.2022.108310
  • Williams, A. M., Ford, P. R., Eccles, D. W., & Ward, P. (2011). Perceptual-cognitive expertise in sport and its acquisition: Implications for applied cognitive psychology. Applied Cognitive Psychology, 25(3), 432–442. https://doi.org/10.1002/acp.1710
  • Witt, J. K., & Riley, M. A. (2014). Discovering your inner Gibson: Reconciling action-specific and ecological approaches to perception-action. Psychonomic Bulletin & Review, 21(6), 1353–1370. https://doi.org/10.3758/s13423-014-0623-4
  • Wolpert, D. M., Diedrichsen, J., & Flanagan, J. R. (2011). Principles of sensorimotor learning. Nature Reviews Neuroscience, 12(12), 739–751. https://doi.org/10.1038/nrn3112
  • Wolpert, D. M., & Landy, M. S. (2012). Motor control is decision-making. Current Opinion in Neurobiology, 22(6), 996–1003. https://doi.org/10.1016/j.conb.2012.05.003
  • Yamamoto, H., Shinya, M., & Kudo, K. (2019). Cognitive bias for the distribution of ball landing positions in amateur tennis players (Cognitive bias for the motor variance in tennis). Journal of Motor Behavior, 51(2), 141–150. https://doi.org/10.1080/00222895.2018.1440523
  • Zago, M., Bosco, G., Maffei, V., Iosa, M., Ivanenko, Y. P., & Lacquaniti, F. (2004). Internal models of target motion: Expected dynamics overrides measured kinematics in timing manual interceptions. Journal of Neurophysiology, 91(4), 1620–1634. https://doi.org/10.1152/jn.00862.2003
  • Zelic, G., Mottet, D., & Lagarde, J. (2012). Behavioral impact of unisensory and multisensory audio-tactile events: Pros and cons for interlimb coordination in juggling. PLoS ONE, 7(2), e32308. doi:10.1371/journal.pone.0032308