Skip to main content
Log in

The time course of amplitude specification in brief interceptive actions

  • Research Article
  • Published:
Experimental Brain Research Aims and scope Submit manuscript

Abstract

The interception of fast moving objects typically allows the object to be seen for only a short period of time. This limits the time available to prepare the movement. To deal with short preparation intervals, performers are likely to prepare a motor program in advance. Although motor preparation may begin before the target is seen, accuracy requires that certain program parameters are determined from observations of the target. In the experiments reported here we sought to determine the last moment at which information about the distance to move (amplitude) can be incorporated into a program. We employed an empirical protocol that allowed us to examine whether new amplitude information is incorporated discretely or continuously into the program during short intervals prior to movement onset (MO)—the preparation interval. Participants were trained to hit targets at two different distances with movements of a specific duration (180 ms): targets were moving in “Experiment 1” and stationary in “Experiment 2”. This method permitted an estimate of MO time. Preparation intervals were manipulated by delivering a stimulus cue for movement amplitude at varying times prior to the estimated MO. Results demonstrated that amplitude information could be effectively incorporated into the program provided the preparation interval was greater than about 200 ms. In addition, the results indicated that amplitude was specified predominantly in a discrete manner, though the number of responses directed towards a central default amplitude suggest that the distance between targets was near to a threshold for continuous specification.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

References

  • Abernethy B (1990a) Anticipation in squash: differences in advance cue utilization between expert and novice players. J Sports Sci 8:17–34

    PubMed  CAS  Google Scholar 

  • Abernethy B (1990b) Expertise, visual search, and information pick-up in squash. Perception 19:63–77

    Article  PubMed  CAS  Google Scholar 

  • Bootsma RJ, Vanwieringen PCW (1990) Timing an attacking forehand drive in table tennis. J Exp Psychol Hum Percept Perform 16:21–29

    Article  Google Scholar 

  • Brenner E, Smeets JBJ, de Lussanet MHE (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 

  • Caljouw SR, van der Kamp J, Savelsbergh GJP (2004) Timing of goal-directed hitting: impact requirements change the information-movement coupling. Exp Brain Res 155:135–144

    Article  PubMed  Google Scholar 

  • Carlton LG, Carlton MJ (1987) Response amendment latencies during discrete arm movements. J Mot Behav 19:227–239

    PubMed  CAS  Google Scholar 

  • Chambers JM, Cleveland WS, Kleiner B, Tukey PA (1983) Graphical methods for data analysis. Wadsworth, Bellmont

    Google Scholar 

  • de Lussanet MHE, Smeets JBJ, Brenner E (2001) The effect of expectations on hitting moving targets: influence of the preceding target’s speed. Exp Brain Res 137:246–248

    Article  PubMed  Google Scholar 

  • de Lussanet MHE, Smeets JBJ, Brenner E (2002) The relation between task history and movement strategy. Behav Brain Res 129:51–59

    Article  PubMed  Google Scholar 

  • Dessing JC, Bullock D, Peper CE, Beek PJ (2002) Prospective control of manual interceptive actions: comparative simulations of extant and new model constructs. Neural Netw 15:163–179

    Article  PubMed  Google Scholar 

  • Elliott D, Helsen WF, Chua R (2001) A century later: Woodworth’s (1899) two-component model of goal-directed aiming. Psychol Bull 127:342–357

    Article  PubMed  CAS  Google Scholar 

  • Favilla M (1996) Reaching movements: Programming time course is independent of choice number. Neuroreport 7:2629–2634

    Article  PubMed  CAS  Google Scholar 

  • Favilla M (1997) Reaching movements: concurrency of continuous and discrete programming. Neuroreport 8:3973–3977

    Article  PubMed  CAS  Google Scholar 

  • Favilla M (2002) Reaching movements: mode of motor programming influences programming time by itself. Exp Brain Res 144:414–418

    Article  PubMed  Google Scholar 

  • Ghez C, Favilla M, Ghilardi MF, Gordon J, Bermejo R, Pullman S (1997) Discrete and continuous planning of hand movements and isometric force trajectories. Exp Brain Res 115:217–233

    Article  PubMed  CAS  Google Scholar 

  • Ghez C, Hening W, Favilla M (1990) Parallel interacting channels in the initiation and specification of motor response features. In: Jeannerod M (ed) Attention and Performance, vol XVIII. Hillsdale, Erlbaum, pp 265–293

  • Gordon J, Ghez C (1987) Trajectory control in targeted force impulses.2. Pulse-height control. Exp Brain Res 67:241–252

    Article  PubMed  CAS  Google Scholar 

  • Gordon J, Ghilardi MF, Ghez C (1994) Accuracy of planar reaching movements.1. Independence of direction and extent variability. Exp Brain Res 99:97–111

    PubMed  CAS  Google Scholar 

  • Gray R (2002a) 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 (2002b) “Markov at the bat”: A model of cognitive processing in baseball batters. Psychol Sci 13:542–547

    Article  PubMed  Google Scholar 

  • Marinovic W, Iizuka CA, Freudenheim AM (2004) Striking velocity control by table tennis players. Percept Mot Skills 99:1027–1034

    Article  PubMed  Google Scholar 

  • Morya E, Ranvaud R, Pinheiro WM (2003) Dynamics of visual feedback in a laboratory simulation of a penalty kick. J Sports Sci 21:87–95

    Article  PubMed  Google Scholar 

  • Peper L, Bootsma RJ, Mestre DR, Bakker FC (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 

  • Quinn JT, Sherwood DE (1983) Time requirements of changes in program and parameter variables in rapid ongoing movements. J Mot Behav 15:163–178

    PubMed  Google Scholar 

  • Regan D, Gray R (2000) Visually guided collision avoidance and collision achievement. Trends Cognit Sci 4:99–107

    Article  Google Scholar 

  • Rosenbaum DA (1980) Human movement initiation: specification of arm, direction, and extent. J Exp Psychol Gen 109:444–474

    Article  PubMed  CAS  Google Scholar 

  • Saunders JA, Knill DC (2005) Humans use continuous visual feedback from the hand to control both the direction and distance of pointing movements. Exp Brain Res 162:458–473

    Article  PubMed  Google Scholar 

  • Savelsbergh GJP, Williams AM, Van der Kamp J, Ward P (2002) Visual search, anticipation and expertise in soccer goalkeepers. J Sports Sci 20:279–287

    Article  PubMed  Google Scholar 

  • Schmidt RA, Lee TD (2005) Motor control and learning: a behavioral emphasis. Human Kinetics Publishers, Champaign

    Google Scholar 

  • Schouten JF, Bekker JAM (1967) Reaction time and accuracy. Acta Psychol (Amst) 27:143–153

    Article  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 (1994) Perceptual and motor processes in interceptive timing. Hum Mov Sci 13:335–373

    Article  Google Scholar 

  • Tresilian JR (1999) Visually timed action: time-out for ‘tau’? Trends Cognit Sci 3:301–310

    Article  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, 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, Plooy AM (2006a) Effects of acoustic startle stimuli on interceptive action. Neuroscience 142:579–594

    Article  PubMed  CAS  Google Scholar 

  • Tresilian JR, Plooy AM (2006b) Systematic changes in the duration and precision of interception in response to variation of amplitude and effector size. Exp Brain Res 171:421–435

    Article  PubMed  Google Scholar 

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

    Google Scholar 

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

    Google Scholar 

  • Welsh TN, Elliott D (2004) Movement trajectories in the presence of a distracting stimulus: Evidence for a response activation model of selective reaching. Q J Exp Psychol A 57:1031–1057

    PubMed  Google Scholar 

Download references

Acknowledgments

This research was supported in part by a CAPES (Postgraduate Federal Agency/Brazilian Government) doctoral scholarship to Welber Marinovic and a grant from the Australian Research Council awarded to J. R. Tresilian and A. Plooy.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Welber Marinovic.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Marinovic, W., Plooy, A. & Tresilian, J.R. The time course of amplitude specification in brief interceptive actions. Exp Brain Res 188, 275–288 (2008). https://doi.org/10.1007/s00221-008-1360-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00221-008-1360-6

Keywords

Navigation