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Systematic changes in the duration and precision of interception in response to variation of amplitude and effector size

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Abstract

The results of two experiments are reported that examined how performance in a simple interceptive action (hitting a moving target) was influenced by the speed of the target, the size of the intercepting effector and the distance moved to make the interception. In Experiment 1, target speed and the width of the intercepting manipulandum (bat) were varied. The hypothesis that people make briefer movements, when the temporal accuracy and precision demands of the task are high, predicts that bat width and target speed will divisively interact in their effect on movement time (MT) and that shorter MTs will be associated with a smaller temporal variable error (VE). An alternative hypothesis that people initiate movement when the rate of expansion (ROE) of the target’s image reaches a specific, fixed criterion value predicts that bat width will have no effect on MT. The results supported the first hypothesis: a statistically reliable interaction of the predicted form was obtained and the temporal VE was smaller for briefer movements. In Experiment 2, distance to move and target speed were varied. MT increased in direct proportion to distance and there was a divisive interaction between distance and speed; as in Experiment 1, temporal VE was smaller for briefer movements. The pattern of results could not be explained by the strategy of initiating movement at a fixed value of the ROE or at a fixed value of any other perceptual variable potentially available for initiating movement. It is argued that the results support pre-programming of MT with movement initiated when the target’s time to arrival at the interception location reaches a criterion value that is matched to the pre-programmed MT. The data supported completely open-loop control when MT was less than between 200 and 240 ms with corrective sub-movements increasingly frequent for movements of longer duration.

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References

  • Abramowitz M, Stegun IA (eds) (1972) Handbook of mathematical functions with formulas, graphs, and mathematical tables. Dover, New York

  • Bairstow PJ (1987) Analysis of hand movement to moving targets. Hum Mov Sci 6:205–231

    Article  Google Scholar 

  • Beek PJ, Dessing JC, Peper CE, Bullock D (2003) Modeling the control of interceptive actions. Phil Trans Roy Soc Lond B 358:1511–1523

    Article  CAS  Google Scholar 

  • Bootsma RJ, Fayt V, Zaal FTJM, Laurent M (1997) On the information based regulation of movement: things Wann (1996) may want to consider. J Exp Psychol Hum Percept Perform 23:1282–1289

    Article  Google Scholar 

  • Breen JL (1967) What makes a good hitter? J Health Phys Educ Recr 38:36–39

    Google Scholar 

  • Brenner E, Smeets JBJ, De Lussanet M (1998) Hitting moving targets: continuous control of the acceleration of the hand on the basis of the target’s velocity. Exp Brain Res 122:467–474

    Article  PubMed  CAS  Google Scholar 

  • Brouwer A-M, Brenner E, Smeets JBJ (2000) Hitting moving objects: The dependency of hand velocity on the speed of the target. Exp Brain Res 133:242–248

    Article  PubMed  CAS  Google Scholar 

  • Caljouw SR, Van der Kamp J, Savelsbergh GJP (2004) Catching optical information for the regulation of timing. Exp Brain Res 155:427–238

    Article  PubMed  CAS  Google Scholar 

  • DeLucia PR, Warren R (1994) Pictorial and motion-based depth information during active control of self-motion: size-arrival effects on collision avoidance. J Exp Psychol Hum Percept Perform 20:783–798

    Article  PubMed  CAS  Google Scholar 

  • Dessing JC, Caljouw SR, Peper CL, Beek PJ (2004) A dynamical neural network for hitting an approaching object. Biol Cybern 91:377–387

    Article  PubMed  Google Scholar 

  • Fleury M, Basset F, Bard C, Teasdale N (1998) Target speed alone influences the latency and temporal accuracy of interceptive action. Can J Exp Psychol 52:84–92

    PubMed  CAS  Google Scholar 

  • Grasso R, Ivanenko YP, McIntyre J, Viaud-Delmon I, Berthoz A (2000) Spatial, not temporal cues drive predictive orienting movements during navigation, a virtual reality study. Neuroreport 11:775–778

    Article  PubMed  CAS  Google Scholar 

  • Gray R (2002) Behavior of college baseball players in a virtual batting task. J Exp Psychol Hum Percept Perform 28:1131–1148

    Article  PubMed  Google Scholar 

  • Gray R, Regan D (1998) Accuracy of estimating time to collision using binocular and monocular information. Vision Res 38:499–512

    Article  PubMed  CAS  Google Scholar 

  • Jagacinksi RJ, Repperger DW, Ward SL, Moran MS (1980) A test of Fitts’ law with moving targets. Hum Factors 22:225–233

    PubMed  Google Scholar 

  • Lacquaniti F, Maioli C (1989) The role of preparation in tuning anticipatory and reflex responses during catching. J Neurosci 9:134–138

    PubMed  CAS  Google Scholar 

  • Laurent M, Montagne G, Savelsbergh GJP (1994) The control and coordination of one-handed catching—the effect of temporal constraints. Exp Brain Res 101:314–322

    Article  PubMed  CAS  Google Scholar 

  • Lee DN (1998) Guiding movement by coupling taus. Ecol Psychol 10:221–250

    Article  Google Scholar 

  • Lee D-Y, Port NL, Georgopoulos AP (1997) Manual interception of moving targets 2 On-line control of overlapping submovements. Exp Brain Res 116:421–433

    Article  PubMed  CAS  Google Scholar 

  • Meyer DE, Kornblum S, Abrams RA, Wright CE, Smith JEK (1988) Optimality in human motor performance—ideal control of rapid aimed movement. Psychol Rev 95:340–370

    Article  PubMed  CAS  Google Scholar 

  • Milner TE (1992) A model for the generation of movements requiring endpoint precision. Neuroscience 49:365–374

    Article  PubMed  Google Scholar 

  • Michaels CF, Zeinstra E, Oudejans RRD (2001). Information and action in timing the punch of a falling ball. Q J Exp Psychol A 54:69–93

    Article  PubMed  CAS  Google Scholar 

  • Montagne G, Fraisse F, Ripoll H, Laurent M (2000) Perception-action coupling in an interceptive task: first-order time-to-contact as an input variable. Hum Mov Sci 19:59–72

    Article  Google Scholar 

  • Newell KM, Hoshizakio LEF, Carlton MJ, Halbert JA (1979) Movement time and velocity as determinants of movement timing accuracy. J Mot Behav 11:49–58

    PubMed  CAS  Google Scholar 

  • Peper CL, Bootsma RJ, Mestre D, Bakker F (1994) Catching balls—how to get the hand to the right place at the right time. J Exp Psychol Hum Percept Perform 20:591–612

    Article  PubMed  CAS  Google Scholar 

  • Port NL, Lee D-Y, Dassonville P, Georgopoulos AP (1997) Manual interception of moving targets I performance and movement initiation. Exp Brain Res 116:406–420

    Article  PubMed  CAS  Google Scholar 

  • Regan D, Hamstra S (1993) Dissociation of discrimination thresholds for time-to-contact and rate of angular expansion. Vision Res 33:447–462

    Article  PubMed  CAS  Google Scholar 

  • Rohrer B, Hogan N (2003) Avoiding spurious submovement decompositions: a globally optimal algorthim. Biol Cybern 89:190–199

    Article  PubMed  Google Scholar 

  • Schmidt RA (1969) Movement time as a determiner of timing accuracy. J Exp Psychol 79:43–47

    Article  PubMed  CAS  Google Scholar 

  • Schmidt RA (1988) Motor control and learning: a behavioral emphasis. Human Kinetics

  • Schmidt RA, Zelaznik HN, Hawkins B, Frank JS, Quinn JT (1979) Motor output variability: a theory for the accuracy of rapid motor acts. Psychol Rev 86:415–451

    Article  Google Scholar 

  • Smith MRH, Flach JM, Dittman S, Stanard T. (2001) Monocular optical constraints on collision control. J Exp Psychol Hum Percept Perform 27:395–410

    Article  PubMed  CAS  Google Scholar 

  • Teasdale N, Bard C, Fleury M, Young DE, Proteau L (1993) Determining movement onsets from temporal series. J Mot Behav 25:97–106

    PubMed  CAS  Google Scholar 

  • Tresilian JR (2005) Hitting a moving target: perception and action in the timing of rapid interceptions. Percept Psychophys 67:129–149

    PubMed  Google Scholar 

  • Tresilian JR, Houseman JH (2005) Systematic variation in performance of an interceptive action with changes in the temporal constraints. Q J Exp Psychol A 58:447–466

    Article  PubMed  Google Scholar 

  • Tresilian JR, Lonergan A (2002) Intercepting a moving target: effects of temporal precision constraints and movement amplitude. Exp Brain Res 142:193–207

    Article  PubMed  Google Scholar 

  • Tresilian JR, Oliver J, Carroll TJ (2003) Temporal precision of interceptive action: differential effects of target speed and size. Exp Brain Res 148:425–438

    PubMed  CAS  Google Scholar 

  • Tresilian JR, Plooy A, Carroll TJ (2004) Constraints on the spatio-temporal accuracy of interceptive action: effects of target size on hitting a moving target. Exp Brain Res 155:509–526

    Article  PubMed  CAS  Google Scholar 

  • Tyldesley DA, Whiting HTA (1975) Operational timing. J Hum Mov Stud 1:172–177

    Google Scholar 

  • Van der Kamp J, Savelsbergh GJP, Smeets JBJ (1997) Multiple information sources in interceptive timing. Hum Mov Sci 16:787–821

    Article  Google Scholar 

  • Van Donkelaar P, Lee RG, Gellman RS (1992) Control strategies in directing the hand at moving targets. Exp Brain Res 91:151–161

    Article  PubMed  Google Scholar 

  • Wann JP (1996) Anticipating arrival: is the tau margin a specious theory? J Exp Psychol Hum Percept Perform 22:1031–1048

    Article  PubMed  CAS  Google Scholar 

  • Watts RG, Bahill AT (1990) Keep your eye on the ball: the science and folklore of baseball. Freeman, New York

    Google Scholar 

  • Winter DA (1990) Biomechanics and motor control of human movement. Wiley-Interscience, New York

    Google Scholar 

  • Zaal FTJM, Bootsma RJ, van Wieringen PCW (1999) Dynamics of reaching for stationary and moving objects: data and model. J Exp Psychol Hum Percept Perform 25:149–161

    Article  Google Scholar 

  • Zago M, Bosco G, Maffei V, Iosa M, Ivanenko YP, Lacquaniti F (2004) Internal models of target motion: expected dynamics overrides measured kinematics in timing manual interceptions. J Neurophysiol 91:1620–1634

    Article  PubMed  Google Scholar 

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Authors and Affiliations

  1. Perception and Motor Systems Laboratory School of Human Movement Studies, The University of Queensland, 4072, St Lucia, Australia

    James R. Tresilian & Annaliese Plooy

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  1. James R. Tresilian
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  2. Annaliese Plooy
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Correspondence to James R. Tresilian.

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Tresilian, J.R., Plooy, A. Systematic changes in the duration and precision of interception in response to variation of amplitude and effector size. Exp Brain Res 171, 421–435 (2006). https://doi.org/10.1007/s00221-005-0286-5

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  • DOI: https://doi.org/10.1007/s00221-005-0286-5

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