Comparison between manual aiming control and sex in different task constraints

Abstract

AIMS

This study aimed to investigate the comparison between sex and manual aiming control in different cognitive and motor constraints of the task.

METHODS

Eighty-four right-handed participants (42 women) performed 110 trials of a manual aiming task with a non-inking pen on a digitizing tablet. The aiming task required four different conditions of execution. The control condition appeared on the computer screen in 70% of the trials, and the other three conditions, (a) distractor, (b) inhibition of response and (c) higher index of difficulty, each appeared in 10% of the trials.

RESULTS

Compared with women, men produced shorter movement and response times, as well as higher peak velocity in the control and distractor conditions. When the index of difficulty of the task increased, men produced only higher peak velocity. Women produced more corrective movements to achieve the target only in the control condition.

CONCLUSION

Our results corroborate those of previous studies that indicate sex-specific response strategies when the sensory motor system is challenged by different task constraints.

Keywords:
motor skills; men; women; task performance; goal-directed movement

INTRODUCTION

Manual aiming movements to fixed targets are composed by an initial ballistic impulse, via open-loop control, that roughly approaches the limb to the target and a final homing under closed-loop control, usually with fine adjustments through visual and proprioceptive feedback to guarantee accuracy(¹,²). Peak velocity is used as the main kinematic marker to distinguish the initial impulse phase (primary submovement) and the final homing phase (secondary submovement)(³). The time interval preceding peak velocity (primary submovement) reflects the preprogrammed phase of the movement. After peak velocity, the second submovement initiates(⁴). The number of discontinuities in the acceleration of the secondary submovement reflects the online correction of the movement trajectory(⁵).

Sex is a factor that influences the way in which aiming movements are planned and controlled. Women produce lower peak velocities and longer movement times than men do(⁶,⁷). Moreover, women are more accurate than men are(⁷). Men spend less time decelerating toward the target than women. Another interesting finding is that an increased index of difficulty (ID) of the task produces fewer errors and increased time after peak velocity for women than for men(⁸). Overall, men prefer a mode of aiming control that emphasizes speed, whereas women prefer a strategy of control that emphasizes accuracy(⁹). The response-style hypothesis(⁸,¹⁰) assumes the manifestation of sex-specific response strategies when the sensory motor system is challenged by different task constraints. Evidently, biomechanical factors differ between men and women, but when the same mechanical aspects of the movement are maintained and different cognitive processes are required, the difference between sexes in aiming movements becomes related to mental processes.

In previous studies, we employed an aiming task that simulated different cognitive and motor constraints observed daily under manual control(³,¹¹,¹²). This task seems to be an interesting form of investigating other types of task constraints that can influence the control strategies in women and men. The task has four conditions of execution, a pre-potent (very usual) condition, a distractor condition, a response inhibition condition, and a higher index of difficulty condition. We can expect faster movement times and higher levels of peak velocity for men, mainly in the pre-potent condition. Men are less prone to the control of pre-potent responses, showing the inability to inhibit an activated or pre-cued response(¹²,¹³). Therefore, we can hypothesize that men will produce more errors in the inhibition of responses than women will.

When comparing the pre-potent condition with the higher ID condition, we can also expect, based on the Rohr(⁸) findings, a bigger difference in the distribution of the primary and secondary submovements for women than for men. We hypothesized that the primary submovement of women will be shorter in the higher ID condition to guarantee accuracy in the homing part of the movement. Finally, we can expect differences between sexes in the distractor condition. The distractor condition symbolizes a context in which irrelevant information, relative to the pre-potent condition, needs to be suppressed for a successful goal achievement. The goal of this condition is the same as that of the pre-potent condition, but a yellow, not a green target, appears in 10% of the trials and it is inserted to produce conflict in the subjects’ response selection. Women present in the third part of the Stroop Color-Word test have a better ability to inhibit irrelevant information than men(¹⁴). Thus, we hypothesize that women will process the distractor condition faster, reflected in shorter reaction and movement times than men will.

We designed this study to investigate the comparison between sex and manual aiming control in different cognitive and motor constraints of the task. Given that sex-specific response strategies are influenced by different task constraints(⁶,⁷), we hypothesized several differences in the aiming control between sexes, as described in the preceding paragraphs. To our knowledge, no study has investigated the comparison between sex and aiming control when applying different cognitive constraints of the task.

METHODS

We studied 84 participants ranging from 18 to 40 years old (42 women, 42 men; mean age= 24.3 ± 4.3 years). All participants were right-handed university students as classified by the Edinburgh Handedness Inventory(¹⁵) who had normal or corrected-to-normal visual acuity in both eyes. A local ethics committee approved all procedures (ETIC 064/09). Participants signed an informed consent form after receiving a complete explanation of the study. To calculate the sample size of a two-tailed design, we adopted an alpha of 0.05 and a power of 0.9. A minimum of 42 participants for each group was identified using G*Power version 3.1.9.2.

Manual aiming movements were quantified using a Wacom Intuos 3 digitizing tablet (30.4 cm × 30.4 cm, RMS accuracy 0.01 cm, 200 Hz), a non-inking pen and MovAlyzeR software (NeuroScript, LLC; Tempe, AZ, USA). The tablet was attached to an MS Windows laptop computer (15.4” diagonal widescreen) running MovAlyzeR software. The distance traveled by the non-inking pen on the tablet was proportional to the distance traveled by the cursor on the computer screen.

The motor task and procedures used in previous studies were also used in this study(³,¹¹,¹²). The participants were required to make fast and accurate strokes (displayed in real time on the laptop monitor) from the home position to the target. A trial started by displaying both the home position and a filled-in green circle target (the precue) indicated on the monitor. The cursor was to be kept at the home position during this precue period. Then, the green target would disappear from the screen, and in a time interval that ranged randomly from 2 to 3 s, the green target appeared again as the imperative stimulus indicating “go”. The participants were instructed to move the cursor to the target as quickly and accurately as possible. This procedure was our control condition and appeared in 70% of the trials (pre-potent stimuli). The difficulty index (ID) of the above conditions was 5.2 bits(¹⁶). The target (1 cm diameter) was presented at the same distance (19 cm center-to-center) and angle (45º upper right from the home position). ID was calculated using the following formula:

Log² (2A/W),

Where A is the amplitude of the movement and W is the target width.

Each of the other three conditions only appeared in 10% of the trials. A filled-in yellow circle appeared instead of the green circle target in the distractor condition. A filled-in red circle appeared, indicating “stop”, in the inhibition of response condition. Under this condition, the participant was instructed to not move the pen. The higher index of difficulty condition was the third condition. A filled-in green circle appeared similarly to the target used in the control condition. However, the size of the target was smaller (0.5 cm of diameter) than the target of the other three conditions (1 cm of diameter), and had an ID of 6.3 bits. Moreover, the position of the target was more distant (2 cm) and a new angle was presented (40º) (see more details in(³)). Again, only movement amplitude and target width were used for calculating ID. The goal of executing the movement to the target as quickly and accurately as possible was still the same.

The participants received standardized instructions concerning the study. Participant held the non-inking pen in a usual pen grip with the right hand. To become familiar with the apparatus and task and to find a suitable posture, participants carried out six trials of the control condition. The body midline was aligned with the home position. Following familiarization, the motor task was then performed. Participants performed 100 trials of the task. The order in which conditions appeared was randomized in each block of 10 trials. Hence, in each block of 10 trials, participant performed 7 trials of the control condition and 1 trial of each one of the other conditions.

After the presentation of the imperative stimulus, participants had 2 seconds to move from the home position to the target. After 2 seconds, the target disappeared and the recording of the trial was ended. A red trace was displayed on the screen concomitantly with the non-inking pen movement. The test took approximately 16 minutes to be completed.

The non-inking pen movements were low-pass filtered at 12 Hz using Fast Fourier Transform (FFT) and differentiated to yield estimates of the velocity and acceleration curves. We segmented a stroke into primary and secondary submovements by the first negative-to-positive zero crossing after the absolute peak velocity in the acceleration profile. The primary submovement denotes the initial impulse phase and the secondary submovement represents the online controlled phase.

The performance measurements examined were: (1) reaction time (RT), (2) movement time (MT), (3) response time (RespT, the sum of reaction and movement time), (4) score of incorrect hits to the target (0 if hit and 1 if missed) and (5) score of response inhibition errors (0 if “stop” and 1 if “go”). The kinematic measures analyzed were: (1) peak velocity (PV), (2) relative time to peak velocity (RTPV) and (3) the number of discontinuities in acceleration in the secondary submovement (ND)(³).

The mean values based on 10 trials for the distractor, the inhibition of response, and the higher index of difficulty conditions were calculated for all dependent measures. For the control condition, the mean values based on 70 trials were calculated for all measures. The Kolmogorov-Smirnov Test showed that the PV violated the assumption of normal distribution under control and higher indexes of conditions, as well as the ND in the control condition, but the data were normalized by a logarithmic transformation (log10). The same inferential analyses applied by Lage et al.,(³) were used. Student’s t test for independent samples for groups were conducted. Chi-squared tests were used to analyze the following nominal data: (a) total frequency of the scores of incorrect hits to the target and (b) total frequency of the scores of response inhibition errors. The effect size was calculated using Cohen’s formula(¹⁷). A significant difference at the level of 0.05 was adopted for all statistical analyses.

RESULTS

In the control condition, the inferential analysis of the data indicated differences between groups for the measures of MT, RespT, PV and ND. The men produced shorter MT and RespT and achieved higher PV than women. The women produced an increased ND compared to the men. There were no differences between groups for the RT and RTPV measures. The descriptive and inferential results are presented in Table 1.

In the distractor condition, the inferential analysis of the data indicated differences between groups for the measures of MT, RespT, and PV. The men produced shorter MT and RespT and achieved higher PV than women. There were no differences between groups for the RT, RTPV and ND measures. The descriptive and inferential results are presented in Table 1.

In the higher index of difficulty condition, the inferential analysis of the data indicated differences between groups only for the measure of PV. The men achieved higher PV than the women. There were no differences between groups for the other measures. The descriptive and inferential results are presented in Table 1.

In the inhibition of response condition, there was no difference between groups. The descriptive and inferential results are presented in Table 1.

Table 1
Means and standard deviations of women and men for dependent measures obtained in all conditions of execution; results of Student’s t-tests and Chi-squared tests; effect size results.

Condition and measure	Unit	Groups		Value	p	Effect size
		Female	Male
CC_RT	ms	0.41 ± 0.08	0.38 ± 0.07	t=1.30	0.19	0.39
DC_ RT		0.40 ± 0.09	0.37 ± 0.07	t=1.29	0.19	0.37
HIDC_ RT		0.40 ± 0.07	0.38 ± 0.07	t=1.30	0.19	0.28
CC_MT	ms	1.06 + 0.19	0.96 ± 0.25	t=2.16	0.04*	0.45
DC_ MT		1.07 ± 0.20	0.96 ± 0.26	t=2.16	0.04*	0.47
HIDC_ MT		1.04 ± 0.19	0.96 ± 0.27	t=1.42	0.15	0.34
CC_RespT	ms	1.48 ± 0.22	1.34 ± 0.27	t=2.36	0.02*	0.56
DC_ RespT		1.47 ± 0.23	1.34 ± 0.27	t=2.38	0.01*	0.51
HIDC_ RespT		1.44 ± 0.22	1.34 ± 0.30	t=1.65	0.10	0.38
CC_PV	cm/s	28.88 ± 7.70	34.20 ± 13.73	t=-2.01	0.04*	-0.47
DC_PV		28.75 ± 8.09	34.57 ± 13.88	t=-2.34	0.02*	-0.51
HIDC_PV		29.95 ± 7.73	35.72 ± 14.86	t=-2.20	0.03*	-0.48
CC_RTPV	%	54.98 ± 11.86	51.11 ± 11.60	t=1.48	0.14	0.32
DC_ RTPV		55 ± 13.29	50.86 ± 12.86	t=1.45	0.15	0.31
HIDC_ RTPV		55.06 ± .13	50.45 ± .13	t=1.58	0.11	0.35
CC_ND	number	2.93 ± .92	2.52 ± .95	t=2.38	0.01*	0.43
DC_ ND		2.89 ± 1.06	2.61 ± 1.11	t=1.18	0.23	0.25
HIDC_ ND		2.79 ± 1.15	2.53 ± 1.35	t=.96	0.33	0.20
CC_IH	Total frequency	550	613	x2 =3.41	0.06	----
DC_ IH		67	76	x2 =.56	0.45	----
HIDC_ IH		168	138	x2 =2.94	0.08	----
Inhibition errors	Total frequency	113	110	x2 =0.040	0.84	----

• Note: * indicates significant difference. CC= control condition; DC= distractor condition; HIDC= higher index of difficulty condition; RT= reaction time; MT= movement time; RespT= response time; PV= peak velocity; RTPV= relative time to peak velocity; ND= number of discontinuities in acceleration in the secondary submovement; IH= incorrect hits.

Figure 1 shows the significant differences between men and women in the control, distractor, and higher index of difficulty conditions.

Figure 1
Graphical representation of the dependent variable behavior in the three conditions of execution; significant differences indicated by asterisks (*).

DISCUSSION

We designed this study to investigate the comparison between sex and manual aiming control in different cognitive and motor constraints of a task. Given that sex-specific response strategies are influenced by different task constraints, we hypothesized several differences in the aiming control between sexes. Our hypotheses were partially confirmed.

We expected faster MT for men, mainly in the control condition. Our results confirm this hypothesis. This type of difference between sexes is often observed in aiming studies(⁶,⁷). Surpassing our expectations, men also presented faster MT in the distractor condition, indicating that this type of cognitive constraint does not directly affect the male-specific response strategy. Conversely, when the motor demand increased in the higher index of difficulty condition, the advantage in terms of MT disappeared. The same pattern of results was observed for the RespT measure. Remarkably, the men maintained the same MT (0.96 s) and RespT (1.34 s) across the task demands. Thus, the non-difference found in the higher index of difficulty condition was produced by the adaptation in female behavior when facing the higher spatiotemporal demand of this condition.

Results apparently different from our findings in the higher index of difficulty condition have been found. Rohr(¹⁸) found clearer differences between sexes in MT when the task difficulty increased. However, this type of result reinforces the idea that sex-specific response strategies are influenced by different task constraints. Rohr(¹⁸) applied a traditional Fitts reciprocal tapping task(¹⁶), in which the performer was required to address the aims of speed and accuracy with no deadline. However, when Rohr(⁸) applied a discrete aiming task with a fixed demand of speed, no interaction between task difficulty and sex was found for MT. Similarly, Rohr_(¹⁸) and Teeken et al.,(⁶) found no difference in MT between sexes in a reciprocal aiming task, but found a difference in a discrete aiming task. However, similar to our study Teeken et al.,(⁶) instructed the participants to move as quickly and accurately as possible. Finally, when rapid aiming movements were executed on targets that changed size and position during hand trajectory, men were not faster than women for MT(¹⁹).

A possible explanation of the adaptation of female behavior when facing the higher spatiotemporal demands of the higher index of difficulty condition is that when the task demand was lower (e.g., in the control condition), women produced more controlled movements, emphasizing accuracy. This type of strategy was apparently better in the prepotent condition, in which there was a tendency toward better accuracy. The participants had two seconds to achieve the target; this time interval was sufficient, even for adopting an accuracy-emphasized approach. Nonetheless, for the same index of difficulty, but with the distractor stimuli, this type of approach did not work. The number of corrective movements in the secondary submovement was different between sexes in the control condition, but it was identical in the distractor condition. We did not find an easy way to explain these findings regarding accuracy and the number of corrective movements. Interestingly, the effect sizes between the control and distractor conditions were very close to those of the MT (0.45 and 0.47, respectively) and RespT (0.56 and 0.51, respectively), but they fell from medium to low for the number of corrective movements in the secondary submovement (0.43 and 0.25, respectively). Somehow, the distractor stimuli affected the women’s online control. Further research needs to be carried out to analyze this question.

Among the dependent measures used, the measure of PV best epitomized the difference between sexes. In all conditions of execution, men achieved a higher level of PV than women did. Medium effect sizes(¹⁷) were observed, independent of the demand of the task. However, the comparison between these findings and the literature shows that higher PV for men is not a pattern observed independent of the task characteristic. In unpredictable conditions of target size and position(¹⁹) , and in aiming executed with a fix demand of speed(⁸), there was no difference between sexes.

The hypothesis that men would present more errors in the inhibition of response was not confirmed. In traditional Go/No-Go neuropsychological tasks(¹¹,²⁰,²¹) the perceptual requirements are high, but the demands to the motor system are low, requiring just the pressing of a button with a finger(³). In our more demanding motor task, the men inhibited their response with the same level of efficiency as women. Our hypothesis that women would produce faster RT in the distractor condition than men was also not conformed. Again, the type of behavior observed in tasks with a low demand to the motor system (e.g., Stroop Color-Word Test) was not found in our aiming task. Further studies should be carried out to analyze whether tasks with similar perceptual requirements but different motor demands produce different results when comparing the performance between sexes. Finally, the hypothesis on the difference in the distribution of the primary and secondary submovement between sexes was not found in any of our conditions. While our task required speed and accuracy, the unique study that found differences in the primary and secondary distribution was the Rohr(⁸) test which exhibited a fixed speed. At least when speed and accuracy were required, the distribution of the submovements was identical between sexes, independent of the task demand.

CONCLUSIONS

Overall, our findings, in comparison with previous results found in the literature, permit us to conclude that when a performer is instructed to move as quickly and accurately as possible in a discrete aiming task, men present faster MT and RespT than women, with the exception of the condition with high difficulty. In this type of task, PV is higher for men than women. Lastly, our results reinforce the response-style hypothesis because the manifestation of sex-specific response strategies was observed when the sensory motor system was challenged by different task constraints.

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Publication Dates

• Publication in this collection
  2017

History

• Received
  23 May 2017
• Accepted
  29 Aug 2017