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Previous literature has proposed that parallel processing theories can be used to describe the architecture of human information processing. However, it remains uncertain whether these theories apply to decision-making involving movement effectors. This study conducted a field simulation experiment to replicate a basketball player’s decision to switch from a shoot to a pass during a jump shot. In Experiment 1, which examined the effect of changes in the severity of time constraints on the changes in the switching success rate, we found that shooters can switch from a shoot to a pass, even when temporal limits are exceeded, which supports the application of parallel processing principles to human movement dynamics. In Experiment 2, which confirmed the reflection of parallelism in information systems on the movement effectors, we observed strategies in which players paused their elbow joint angle in mid-air and delayed ball release during goal switches, indicating a parallel processing approach. These results exemplify how humans prepare to make two movements with different goals in parallel, which can be transferred to either movement if the movements are differentiated on the way from a common motion. These findings advance our understanding of how human cognition and motor control are intricately linked. By illustrating how parallel processing underlies flexible motor strategies, this research contributes to a deeper understanding of the mechanisms that allow humans to adapt to changing environments and make split-second decisions during complex movements. Furthermore, these insights offer new directions for future research on decision-making models that integrate cognitive processing and motor execution in real-world dynamic contexts, refining our theoretical understanding of human adaptability.
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Araújo, D., Davids, K. & Hristovski, R. (2006). The ecological dynamics of decision making in sport. — Psychol. Sport Exerc. 7: 653-676. DOI:10.1016/j.psychsport.2006.07.002.
Bohlhalter, S., Fretz, C. & Weder, B. (2002). Hierarchical versus parallel processing in tactile object recognition: a behavioural–neuroanatomical study of aperceptive tactile agnosia. — Brain 125: 2537-2548. DOI:10.1093/brain/awf245.
Bootsma, R.J. & van Wieringen, P.C. (1990). Timing an attacking forehand drive in table tennis. — J. Exp. Psychol. Hum. Percept. Perform. 16: 21-29. DOI:10.1037/0096-1523.16.1.21.
Brehmer, B. (1992). Dynamic decision making: Human control of complex systems. — Acta Psychol. 81: 211-241. DOI:10.1016/0001-6918(92)90019-a.
Bruza, P.D., Wang, Z. & Busemeyer, J.R. (2015). Quantum cognition: A new theoretical approach to psychology. — Trends Cogn. Sci. 19: 383-393. DOI:10.1016/j.tics.2015.05.001.
Busemeyer, J.R. & Bruza, P.D. (2012). Quantum models of cognition and decision. — Cambridge University Press, Cambridge.
FIBA (International Basketball Federation) (2020a). Official basketball rules 2020. — Available online at http://www.fiba.basketball/documents/official-basketball-rules/2020.pdf.
FIBA (International Basketball Federation) (2020b). Official basketball rules 2020 basketball equipment. — Available online at https://www.fiba.basketball/documents/official-basketball-rules/2020/equipment.pdf.
Fitts, P.M. (1954). The information capacity of the human motor system in controlling the amplitude of movement. — J. Exp. Psychol. 47: 381-391. DOI:10.1037/h0055392.
Flanders, M. & Soechting, J.F. (1992). Kinematics of typing: parallel control of the two hands. — J. Neurophysiol. 67: 1264-1274. DOI:10.1152/jn.1992.67.5.1264.
Gallivan, J.P., Logan, L., Wolpert, D.M. & Flanagan, J.R. (2016). Parallel specification of competing sensorimotor control policies for alternative action options. — Nature Neurosci. 19: 320-326. DOI:10.1038/nn.4214.
Galton, F. (1890). Exhibition of instruments (1) for testing perception of differences of tint, and (2) for determining reaction-time. — J. Anthropol. Inst. Gt. Br. Irel. 19: 27-29. DOI:10.2307/2842529.
Gibson, J.J. (1979). The ecological approach to visual perception. — Houghton Mifflin, London.
Gorniak, S.L. (2019). The relationship between task difficulty and motor performance complexity. — Atten. Percept. Psychophys. 81: 12-19. DOI:10.3758/s13414-018-1634-4.
Grosjean, M., Rosenbaum, D.A. & Elsinger, C. (2001). Timing and reaction time. — J. Exp. Psychol. Gen. 130: 256-272. DOI:10.1037/0096-3445.130.2.256.
Gutierrez-Dávila, M., Rojas, F.J., Antonio, R. & Navarro, E. (2013a). Response timing in the lunge and target change in elite versus medium-level fencers. — Eur. J. Sport Sci. 13: 364-371. DOI:10.1080/17461391.2011.635704.
Gutiérrez-Dávila, M., Rojas, F.J., Caletti, M., Antonio, R. & Navarro, E. (2013b). Effect of target change during the simple attack in fencing. — J. Sports Sci. 31: 1100-1107. DOI:10.1080/02640414.2013.770908.
Gutiérrez-Dávila, M., Rojas, F.J., Antonio, R. & Navarro, E. (2013c). Effect of uncertainty on the reaction response in fencing. — Res. Q. Exerc. Sport 84: 16-23. DOI:10.1080/02701367.2013.762286.
Haken, H., Kelso, J.S. & Bunz, H. (1985). A theoretical model of phase transitions in human hand movements. — Biol. Cybern. 51: 347-356. DOI:10.1007/BF00336922.
Hick, W.E. (1952). On the rate of gain of information. — Q. J. Exp. Psychol. 4: 11-26. DOI:10.1080/17470215208416600.
Hudson, T.E., Maloney, L.T. & Landy, M.S. (2007). Movement planning with probabilistic target information. — J. Neurophysiol. 98: 3034-3046. DOI:10.1152/jn.00858.2007.
Kahneman, D. (2003). A perspective on judgment and choice: Mapping bounded rationality. — Am. Psychol. 58: 697-720.
Kahneman, D. (2011). Thinking: Fast and slow. — Macmillan, New York, NY.
Kelso, J.A. (1984). Phase transitions and critical behavior in human bimanual coordination. — Am. J. Physiol. Regul. Integr. Comp. Physiol. 246: R1000-R1004. DOI:10.1152/ajpregu.1984.246.6.R1000.
Kitajima, M. & Toyota, M. (2012). Simulating navigation behaviour based on the architecture model Model Human Processor with Real-Time Constraints (MHP/RT). — Behav. Inform. Technol. 31: 41-58. DOI:10.1080/0144929X.2011.602427.
Kitajima, M. & Toyota, M. (2013). Decision-making and action selection in Two Minds: An analysis based on Model Human Processor with Realtime Constraints (MHP/RT). — Biol. Inspired Cogn. Architect. 5: 82-93. DOI:10.1016/j.bica.2013.05.003.
Kobayashi, A. & Kimura, T. (2022). Compensative movement ameliorates reduced efficacy of rapidly-embodied decisions in humans. — Commun. Biol. 5: 294. DOI:10.1038/s42003-022-03232-z.
Kugler, P.N. & Turvey, M.T. (1987). Information, natural law, and the self-assembly of rhythmic movements. — Lawrence Erlbaum, Hillside, NJ.
Lee, D.N. & Aronson, E. (1974). Visual proprioceptive control of standing in human infants. — Percept. Psychophys. 15: 529-532. DOI:10.3758/BF03199297.
Li, J.A., Dong, D., Wei, Z., Liu, Y., Pan, Y., Nori, F. & Zhang, X. (2020). Quantum reinforcement learning during human decision-making. — Nature Hum. Behav. 4: 294-307. DOI:10.1038/s41562-019-0804-2.
Logan, G.D. & Burkell, J. (1986). Dependence and independence in responding to double stimulation: A comparison of stop, change, and dual-task paradigms. — J. Exp. Psychol. Hum. Percept. Perform. 12: 549-563. DOI:10.1037/0096-1523.12.4.549.
Logan, G.D. & Cowan, W.B. (1984). On the ability to inhibit thought and action: A theory of an act of control. — Psychol. Rev. 91: 295-327. DOI:10.1037/0033-295X.91.3.295.
McClelland, J.L. & Rumelhart, D.E. (1985). Distributed memory and the representation of general and specific information. — J. Exp. Psychol. Gen. 114: 159-188. DOI:10.1037/0096-3445.114.2.159.
Merkel, J. (1885). Die zeitliche Verhältnisse der Willenstätigkeit. — Philos. Stud. 2: 73-127.
Miller, J. & Hackley, S.A. (1992). Electrophysiological evidence for temporal overlap among contingent mental processes. — J. Exp. Psychol. Gen. 121: 195-209. DOI:10.1037/0096-3445.121.2.195.
Miller, S. & Bartlett, R.M. (1993). The effects of increased shooting distance in the basketball jump shot. — J. Sports Sci. 11: 285-293. DOI:10.1080/02640419308729998.
Mindell, A. (2012). Quantum mind: The edge between physics and psychology. — Deep Democracy Exchange, Edinburgh.
Morya, E., Ranvaud, R. & Pinheiro, W.M. (2003). Dynamics of visual feedback in a laboratory simulation of a penalty kick. — J. Sports Sci. 21: 87-95. DOI:10.1080/0264041031000070840.
Murakami, H. & Yamada, N. (2022). Estimating information processing of human fast continuous tapping from trajectories. — Entropy 24: 788. DOI:10.3390/e24060788.
Murakami, H. & Yamada, N. (2023). Human information processing of the speed of various movements estimated based on trajectory change. — Entropy 25: 695. DOI:10.3390/e25040695.
Murakami, H. & Yamada, N. (2024). Mechanism for high-precision control of movement at maximum output in the vertical jump task. — Entropy 26: 300. DOI:10.3390/e26040300.
Nakajima, K. & Yamada, N. (2023). Characteristics of passing mistakes during kick direction changes in soccer. — Int. J. Hum. Mov. Sports Sci. 11: 1101-1113. DOI:10.13189/saj.2023.110519.
Nashner, L. & Berthoz, A. (1978). Visual contribution to rapid motor responses during postural control. — Brain Res. 150: 403-407. DOI:10.1016/0006-8993(78)90291-3.
Neisser, U. (1967). Cognitive psychology. — Appleton Century-Croft, New York, NY.
Norman, D.A. & Bobrow, D.G. (1975). On data-limited and resource-limited processes. — Cogn. Psychol. 7: 44-64. DOI:10.1016/0010-0285(75)90004-3.
Rumelhart, D.E., McClelland, J.L. & PDP Research Group (1986). Parallel distributed processing: Explorations in the microstructure of cognition: Foundations. — The MIT Press, Cambridge, MA.
Schmidt, R. & Lee, T. (2019). Motor learning and performance 6th edition with web study guide-loose-leaf edition: from principles to application. — Human Kinetics Publishers, Champaign, IL.
Shannon, C. (1948). A mathematical theory of communication. — Bell Syst. Tech. J. 27: 379-423. DOI:10.1002/j.1538-7305.1948.tb01338.x.
Soechting, J.F. & Flanders, M. (1992). Organization of sequential typing movements. — J. Neurophysiol. 67: 1275-1290. DOI:10.1152/jn.1992.67.5.1275.
Sternberg, S. (1966). High-speed scanning in human memory. — Science 153: 652-654. DOI:10.1126/science.153.3736.652.
Townsend, J.T. (1990). Serial vs. parallel processing: Sometimes they look like Tweedledum and Tweedledee but they can (and should) be distinguished. — Psychol. Sci. 1: 46-54. DOI:10.1111/j.1467-9280.1990.tb00067.x.
Van Der Kamp, J. (2006). A field simulation study of the effectiveness of penalty kick strategies in soccer: Late alterations of kick direction increase errors and reduce accuracy. — J. Sports Sci. 24: 467-477. DOI:10.1080/02640410500190841.
Verbruggen, F. & Logan, G.D. (2008). How to stop and change a response: The role of goal activation in multitasking. — J. Exp. Psychol. Hum. Percept. Perform. 34: 1212-1228. DOI:10.1037/0096-1523.34.5.1212.
Verbruggen, F. & Logan, G.D. (2009). Models of response inhibition in the stop-signal and stop-change paradigms. — Neurosci. Biobehav. Rev. 33: 647-661. DOI:10.1016/j.neubiorev.2008.08.014.
Wakatsuki, T. & Yamada, N. (2020). Difference between intentional and reactive movement in side-steps: Patterns of temporal structure and force exertion. — Front. Psychol. 11: 2186. DOI:10.3389/fpsyg.2020.02186.
Warren Jr, W.H. (1990). The perception-action coupling. — In: Sensory-motor organizations and development in infancy and early childhood: proceedings of the NATO advanced research workshop on sensory-motor organizations and development in infancy and early childhood, Chateu de Rosey, France. Springer, Dordrecht, p. 23-37. DOI:10.1007/978-94-009-2071-2_2.
Woodworth, R.S. (1899). Accuracy of voluntary movement. — Psychol. Rev. 3: i-114. DOI:10.1037/h0092992.
Yamada, N. (2011). [What sets the movements of top athletes apart: The secrets of elite performance revealed by sports science] Toppu asuri-to no ugoki wa naniga chigaunoka: supo-tsu saiensu de wakaru ichiryuu senshu no himitsu. — Kagakudojin, Kyoto. (in Japanese).
Yamada, N. (2015). [Approaching human movement through information (Perspective study)] Supo-tsu jouhouron no kokoromi (Tenbou ronbun). — Annu. Rep. Jpn. Mot. Learn. Semin. 23: 42-49. (in Japanese).
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Previous literature has proposed that parallel processing theories can be used to describe the architecture of human information processing. However, it remains uncertain whether these theories apply to decision-making involving movement effectors. This study conducted a field simulation experiment to replicate a basketball player’s decision to switch from a shoot to a pass during a jump shot. In Experiment 1, which examined the effect of changes in the severity of time constraints on the changes in the switching success rate, we found that shooters can switch from a shoot to a pass, even when temporal limits are exceeded, which supports the application of parallel processing principles to human movement dynamics. In Experiment 2, which confirmed the reflection of parallelism in information systems on the movement effectors, we observed strategies in which players paused their elbow joint angle in mid-air and delayed ball release during goal switches, indicating a parallel processing approach. These results exemplify how humans prepare to make two movements with different goals in parallel, which can be transferred to either movement if the movements are differentiated on the way from a common motion. These findings advance our understanding of how human cognition and motor control are intricately linked. By illustrating how parallel processing underlies flexible motor strategies, this research contributes to a deeper understanding of the mechanisms that allow humans to adapt to changing environments and make split-second decisions during complex movements. Furthermore, these insights offer new directions for future research on decision-making models that integrate cognitive processing and motor execution in real-world dynamic contexts, refining our theoretical understanding of human adaptability.
| Insgesamt | Letzte 365 Tage | In den letzten 30 Tagen | |
|---|---|---|---|
| Aufrufe von Kurzbeschreibungen | 1788 | 534 | 19 |
| Gesamttextansichten | 40 | 15 | 0 |
| PDF-Downloads | 80 | 28 | 0 |