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Switching tools: perceptual-motor recalibration to weight changes

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Abstract

In order to effectively switch between tools, an actor must re-calibrate perceptual-motor control appropriately for the new tool’s kinetic properties. This study explored changes in perceptual-motor control in response to switching to a tool of a different weight when performing a complex control task with moving objects. In Experiment 1, 30 participants were each randomly assigned to one of three groups in a baseball batting simulation: a standard group that always used the same bat weight (1.08 kg), a Lighter group that switched from the standard bat to a 0.79 kg bat, and a Heavier group that switched from the standard bat to a 1.36 kg bat. For both the Heavier and Lighter groups, temporal swing errors were significantly larger (as compared to the standard group) in the first block of trials following the bat change. Both groups re-calibrated quickly: within 5–10 trials after the bat change there were no significant difference between the groups. Analysis of swing kinematics indicated that the two change groups used different means for re-calibrating perceptual-motor control: the Lighter group altered swing velocity while the Heavier group altered swing onset time. In Experiment 2, when batters switched from a 0.79 kg bat to a 1.08 kg bat, perceptual-motor calibration depended on the recommended bat weight for each participant (Bahill and Freitas in Ann Biomed Eng 23:436–444, 1995): batters with a heavier recommended weight altered swing velocity while batters with a lower recommended weight altered onset time. The strategy used for perceptual-motor recalibration and time required to re-calibrate in a complex motor task is dependent on the action boundaries of the actor.

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Notes

  1. Fajen (2007) conducted a related study on perceptual-motor re-calibration in the task of braking to avoid a collision. In this study, the strength of the brake was suddenly changed (unbeknownst to the participant). Although this study has some important implications for the present work we do not consider it to be the same type of re-calibration process because a brake is not a tool in the same sense.

References

  • Bahill AT, Freitas MM (1995) 2 Methods for recommending bat weights. Ann Biomed Eng 23:436–444

    Article  CAS  PubMed  Google Scholar 

  • Bahill AT, Karnavas WJ (1993) The perceptual illusion of baseballs rising fastball and breaking curveball. J Exp Psychol Hum Percept Perform 19:3–14

    Article  Google Scholar 

  • Bahill AT, LaRitz T (1984) Why can’t batters keep their eyes on the ball? Am Sci 72:249–253

    Google Scholar 

  • Bingham GP, Schmidt RC, Rosenblum LD (1989) Hefting for a maximum distance throw—a smart perceptual mechanism. J Exp Psychol Hum Percept Perform 15:507–528

    Article  CAS  PubMed  Google Scholar 

  • Bongers RM, Smitsman AW, Michaels CF (2003) Geometrics and dynamics of a rod determine how it is used for reaching. J Mot Behav 35:4–22

    Article  PubMed  Google Scholar 

  • Bongers RM, Michaels CF, Smitsman AW (2004) Variations of tool and task characteristics reveal that tool-use postures are anticipated. J Mot Behav 36:305–315

    Article  PubMed  Google Scholar 

  • Brashers-Krug T, Shadmehr R, Bizzi E (1996) Consolidation in human motor memory. Nature 382:252–255

    Article  CAS  PubMed  Google Scholar 

  • Brouwer AM, 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  CAS  PubMed  Google Scholar 

  • Carello C, Thuot S, Anderson KL, Turvey MT (1999) Perceiving the sweet spot. Perception 28:307–320

    Article  CAS  PubMed  Google Scholar 

  • Castaneda B, Gray R (2007) Effects of focus of attention on baseball batting performance in players of different skill level. J Sport Exerc Psychol 29:59–76

    Google Scholar 

  • Cothros N, Kohler S, Dickie EW, Mirsattari SM, Gribble PW (2006) Proactive interference as a result of persisting neural representations of previously learned motor skills in primary motor cortex. J Cogn Neurosci 18:2167–2176

    Article  PubMed  Google Scholar 

  • DeRenne C, Ho K, Hetzler R, Chai D (1992) Effects of warm up with various weighted implantations on baseball bat swing velocity. J Appl Sport Sci 6:214–218

    Google Scholar 

  • Fajen BR (2005) Perceiving possibilities for action: on the necessity of calibration and perceptual learning for the visual guidance of action. Perception 34:741–755

    Article  Google Scholar 

  • Fajen BR (2007) Rapid recalibration based on optic flow in visually guided action. Exp Brain Res 183:61–74

    Article  PubMed  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 13:543–548

    Article  Google Scholar 

  • Gray R (2004) Attending to the execution of a complex sensorimotor skill: expertise differences, choking and slumps. J Exp Psychol Appl 10:42–54

    Article  PubMed  Google Scholar 

  • Gray R (2006) Visual-motor control in baseball batting. In: Proceedings of the North American meeting of the international society for ecological psychology, June 22–24, 2006

  • Gray R (2009) A model of motor inhibition for a complex skill: baseball batting. J Exp Psychol Appl 15:91–105

    Article  PubMed  Google Scholar 

  • Gray R, Beilock SL, Carr TM (2007) As soon as the bat met the ball, I knew it was gone: outcome prediction, hindsight bias, and the representation and control of action in novice and expert baseball players. Psychol Bull Rev 14:669–675

    Google Scholar 

  • Held R (1965) Plasticity in sensory-motor systems. Sci Am 213:84–94

    Article  CAS  PubMed  Google Scholar 

  • Osu R, Hirai S, Yoshioka T, Kawato M (2004) Random presentation enables subjects to adapt to two opposing forces on the hand. Nat Neurosci 7:111–112

    Article  CAS  PubMed  Google Scholar 

  • Otsuji T, Abe M, Kinoshita H (2002) After effects of using a weighted bat on subsequent swing velocity and batters’ perceptions of swing velocity and heaviness. Percept Mot Skills 94:119–126

    Article  PubMed  Google Scholar 

  • Regan D (1992) Visual judgements and misjudgements in cricket, and the art of flight. Perception 21:91–115

    Article  CAS  PubMed  Google Scholar 

  • Scott S, Gray R (2007) Specificity of practice in baseball batting. J Sport Exerc Psychol 29S

  • Southard D, Groomer L (2003) Warm-up with baseball bats of varying moments of inertia: effect on bat velocity and swing pattern. Res Q Exerc Sport 74(3):270–276

    PubMed  Google Scholar 

  • Tong C, Wolpert DM, Flanagan JR (2002) Kinematics and dynamics are not represented independently in motor working memory: Evidence from an interference study. J Neurosci 22:1108–1113

    CAS  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 

  • Wagman JB, Carello C (2001) Affordances and inertial constraints on tool use. Ecol Psychol 13:173–195

    Article  Google Scholar 

  • Wang JS, Sainburg RL (2004) Limitations in interlimb transfer of visuomotor rotations. Exp Brain Res 155:1–8

    Article  PubMed  Google Scholar 

  • Watts RG, Bahill AT (1991) Keep your eye on the ball: curve balls, knuckleballs, and fallacies of baseball. W.H. Freeman, New York

    Google Scholar 

  • Will GF (1990) Men at work. MacMillan, New York

    Google Scholar 

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Acknowledgments

The work presented here represents part of the M.S. degree requirements completed by author S.S. This research was supported by NSF Grant BCS-0239657 to author R.G.

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  1. Department of Applied Psychology, Arizona State University, Santa Catalina Hall, 7291 E Sonoran Arroyo Mall, Mesa, AZ, 85212, USA

    Sandee Scott & Rob Gray

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  1. Sandee Scott
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  2. Rob Gray
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Correspondence to Rob Gray.

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Scott, S., Gray, R. Switching tools: perceptual-motor recalibration to weight changes. Exp Brain Res 201, 177–189 (2010). https://doi.org/10.1007/s00221-009-2022-z

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