specific practice conditions enhance perceptual-cognitive

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Specific practice conditions enhance perceptual-cognitive-motor skill acquisition Makoto Uji, Simon J. Bennett, Spencer J. Hayes, Paul R. Ford Liverpool John Moores University (United Kingdom)

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Specific practice conditions enhance

perceptual-cognitive-motor skill

acquisition

Makoto Uji, Simon J. Bennett, Spencer J. Hayes, Paul R. Ford

Liverpool John Moores University (United Kingdom)

Introduction

Practice leads to skill acquisition (Li & Wright, 2000; Lin et al., 2009; Schmidt & Lee, 2011)

Introduction

Specificity of Learning Hypothesis (Proteau, 2005; Proteau & Cournoyer, 1990; Proteau et al., 1987; 1992; Soucy & Proteau, 2001)

Full vision

Target + Stylus vision

Target vision only

= Target vision only

Full vision

Target + Stylus vision

Target vision only

= Target vision only

Previous research has focused on motor tasks or

perceptual-motor tasks

Rationale

In sports, most tasks require perceptual, cognitive,

and motor skills

Rationale

(Williams et al., 2011)

Little systematic research has examined whether the

principles of specificity apply to perceptual-cognitive-

motor skill acquisition

Rationale

Aim

To examine practice conditions required to influence the acquisition of perceptual-cognitive-

motor skill

Aim & Hypotheses

To examine practice conditions required to influence the acquisition of perceptual-cognitive-

motor skill

1) Perceptual-cognitive-motor practice would lead to improved perceptual-cognitive-motor performance

2) Modulating perceptual and/or cognitive processes would result in skill attenuation of perceptual-cognitive-motor performance

Methods

Groups

– Perceptual-cognitive-motor practice (PCM) group

– Perceptual-motor practice (PM) group

– Motor practice (M) group

Methods

Groups

– Perceptual-cognitive-motor practice (PCM) group

– Perceptual-motor practice (PM) group

– Motor practice (M) group

Table 1. The characteristics of the participants in all PCM, PM, and M groups

Number of subjects

Age (years)

Computer-game playing

experience (hours)

PCM group 13 (Male = 11 & Female = 2) 21.0 ± 2.3 3616.7 ± 1946.4

PM group 13 (Male = 11 & Female = 2) 21.6 ± 1.1 4006.1 ± 2775.1

M group 13 (Male = 11 & Female = 2) 22.1 ± 2.1 3570.3 ± 1731.2

Methods

Pre-test

PCM group

(n=13)

PCM task

(8 trials)

PM group

(n=13)

M group

(n=13)

Methods

Pre-test Practice phase

PCM group

(n=13)

PCM task

(8 trials)

PCM task

(96 trials)

PM group

(n=13)

PM task

(96 trials)

M group

(n=13)

M task

(96 trials)

PCM task

PM task M task

PCM task

PM task M task

PCM task

PM task M task

PCM task

PM task M task

Methods

Pre-test Practice phase Post-test

PCM group

(n=13)

PCM task

(8 trials)

PCM task

(96 trials)

PCM task

(8 trials)

PM group

(n=13)

PM task

(96 trials)

M group

(n=13)

M task

(96 trials)

Motor performance

Frequency of successful trials

Data analysis

Visual search

Frequency of Saccades

Data analysis

(Bennett & Barnes, 2006; Xivry et al., 2006)

Cognitive processing

Frequency of if-then statements

Data analysis

(Raab, 2003; Raab et al., 2009)

0

1

2

3

4

5

6

7

8

Pre-test Post-test

Fre

qu

en

cy o

f S

uccessfu

l tr

ials

(n

)

PCM

PM

M

Figure 1. Mean (SD) of frequency of successful trials for PCM, M, and PM group in

pre-test and post-test (* p < .05)

*

0

1

2

3

4

5

6

7

8

Pre-test Post-test

Fre

qu

en

cy o

f S

uccessfu

l tr

ials

(n

)

PCM

PM

M

*

Figure 1. Mean (SD) of frequency of successful trials for PCM, M, and PM group in

pre-test and post-test (* p < .05)

*

Figure 1. Mean (SD) of frequency of successful trials for PCM, M, and PM group in

pre-test and post-test (* p < .05)

0

1

2

3

4

5

6

7

8

Pre-test Post-test

Fre

qu

en

cy o

f S

uccessfu

l tr

ials

(n

)

PCM

PM

M

Figure 2. Mean (SD) of frequency of successful trials for PCM group in practice

phases (* p < .05)

0

4

8

12

16

20

24

28

32

Early Middle Late

Fre

qu

en

cy o

f S

uccessfu

l tr

ials

(n

)

PCM

*

*

Figure 3. Mean (SD) of successful time duration within yellow circle for PM and M

group in practice phases

0

10

20

30

40

50

60

70

80

90

100

Early Middle Late

Su

ccessfu

l ti

me d

ura

tio

n (

%)

PM

M

Figure 4. Mean (SD) of change in frequency of horizontal and vertical saccades

from pre-test to post-test for PCM, M, and PM group (* p < .05)

-2.0

-1.5

-1.0

-0.5

0.0

0.5

1.0

1.5

Horizontal Vertical

Ch

an

ge i

n F

req

uen

cy o

f S

accad

es (

n)

PCM

PM

M

*

*

0

1

2

3

4

5

6

7

Pre-test Post-test

Fre

qu

en

cy o

f if

-th

en

sta

tem

en

ts (

n)

PCM

PM

M

*

Figure 5. Mean (SD) of frequency of if-then statements for PCM, M, and PM group

in pre-test and post-test (* p < .05)

0

1

2

3

4

5

6

7

Pre-test Post-test

Fre

qu

en

cy o

f if

-th

en

sta

tem

en

ts (

n)

PCM

PM

M

*

Figure 5. Mean (SD) of frequency of if-then statements for PCM, M, and PM group

in pre-test and post-test (* p < .05)

0

1

2

3

4

5

6

7

Pre-test Post-test

Fre

qu

en

cy o

f if

-th

en

sta

tem

en

ts (

n)

PCM

PM

M

*

Figure 5. Mean (SD) of frequency of if-then statements for PCM, M, and PM group

in pre-test and post-test (* p < .05)

Findings support Specificity of Learning Hypothesis

(Proteau, 2005; Proteau & Cournoyer, 1990; Proteau et al., 1987; 1992; Soucy & Proteau, 2001)

Discussion

Discussion

1) Perceptual-cognitive-motor practice led to

improved perceptual-cognitive-motor performance

Discussion

2) Modulating perceptual and/or cognitive processes

resulted in skill attenuation of perceptual-

cognitive-motor performance

Discussion

Limiting perceptual information resulted in less

efficient visual search behaviour

Limiting cognitive process resulted in

less skill acquisition

Implications

Optimal practice in sport should contain

the same processes required in the

competition version of the sport

Makoto Uji

[email protected]

Expert Performance and Learning Unit

Liverpool John Moores University

Thank you

Any questions?

References Bennett, S. J., & Barnes, G. R. (2006). Combined smooth and saccadic ocular pursuit during the transient occlusion of a moving visual

object. Experimental brain research, 168, 313-321.

Li, Y., & Wright, D. L. (2000). An assessment of the attention demands during random- and blocked-practice schedules. The Quarterly

Journal of Experimental Psychology, 53, 591-606.

Lin, C. H., Fisher, B. E., Wu, A. D., Ko, Y. A., Lee, L. Y., & Winstein, C. J. (2009). Neural correlate of the contextual interference effect in

motor learning: A kinematic analysis. Journal of Motor Behavior, 41, 232–242.

Proteau, L. (2005). Visual afferent information dominates other sources of afferent information during mixed practice of a video-aiming

task. Experimental Brain Research, 161, 441-456.

Proteau, L., & Cournoyer, J. (1990). Vision of the stylus in a manual aiming task: The effects of practice. The Quarterly Journal of

Experimental Psychology, 42, 811-828.

Proteau, L., Marteniuk, R. G., Girouard, Y., & Dugas, C. (1987). On the type of information used to control and learn an aiming

movement after moderate and extensive training. Human movement science, 6, 181–199.

Proteau, L., Marteniuk, R. G., & Lévesque, L. (1992). A Sensorimotor Basis for Motor Learning: Evidence Indicating Specificity of

Practice. The Quarterly Journal of Experimental Psychology, 44, 557-575.

Raab, M. (2003). Decision making in sports: Influence of complexity on implicit and explicit learning. International Journal of Sport and

Exercise Psychology, 1, 406-433.

Raab, M., Masters, R. S. W., Maxwell, J., Arnold, A., Schlapkohl, N., & Poolton, J. (2009). Discovery learning in sports: Implicit or explicit

processes? International Journal of Sport and Exercise Psychology, 7, 413-430.

Schmidt, R. A., & Lee, T. D. (2011). Motor Control and Learning: A Behavioral Emphasis. Champaign, IL: Human Kinetics.

Soucy, M., & Proteau, L. (2001). Development of multiple movement representations with practice: Specificity versus flexibility. Journal of

Motor Behavior 33, 243-254.

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, 432-442.

Xivry, J. J. O., Bennett, S. J., Lefevre, P., & Barnes, G. R. (2006). Evidence for synergy between saccades and smooth pursuit during

transient target disappearance. Journal of Neurophysiology, 95, 418-427.

Figure. Means (SD) of frequency of successful trials for practice and control group

in pre-test and post-test

*

Appendix

Figure. Means (SD) of change in frequency of horizontal and vertical saccades

from pre-test to post-test for practice and control group

Appendix * *

Figure. Means (SD) of change in characteristics of horizontal and vertical saccades

from pre-test to post-test for practice and control group

Appendix * * *

*

Figure. Means (SD) of change in frequency of if-then statements from pre-test to

post-test for practice and control group

Appendix