Exp Brain Res (1994) 98:535-541 9 Springer-Verlag 1994 Reinoud J. Bootsma. Ronald G. Marteniuk Christine L. MacKenzie 9 Frank T.J.M. Zaal The speed-accuracy trade-off in manual prehension: effects of movement amplitude, object size and object width on kinematic characteristics Received: 21 July 1993 / Accepted: 8 November 1993 Abstract Earlier studies have suggested that the size of an object to be grasped influences the time taken to complete a prehensile movement. However, the use of cylindrical objects in those studies confounded the effects of object size - extent orthogonal to the reach axis and object width - extent along the reach axis. In separating these effects, the present study demonstrates that movement time is not affected by manipulation of object size, as long as the latter does not approach the maximal object size that can be grasped. Object width, on the other hand, is shown to exert a systematic influence on movement time: Smaller object widths give rise to longer movement times through a lengthening of the deceleration phase of the movement, thus reproducing the effect of target width on the kinematics of aiming movements. As in aiming, movement amplitude also affects the movement time in prehension, influencing primarily the acceleration phase (i.e. peak velocity attained). The effects of object width and movement amplitude were found to combine in a way predicted by Fitts' law, allowing a generalisation of the latter to the transport component in prehensile actions. With respect to the grasp component, both object size and object width are shown to affect peak hand aperture. Increasing object width thus lowers the spatial accuracy demands on the transport component, permitting a faster movement to emerge. At the same time, the hand opens to a larger grip in order to compensate for eventual directional errors that result. Finally, with respect to the control mode of the grasp component, it was found that peak finger closing velocity scales to distance to be cov- R. J. Bootsma ([~) Faculty of Sport Sciences, University of Aix-Marseille II, 163 Av. de Luminy, F-13009 Marseille, France R. G. Marteniuk - C. L. MacKenzie Department of Kinesiology, Simon Fraser University, Burnaby BC, Canada F. T. J. M. Zaal Faculty of Human Movement Sciences, Free University, Amsterdam, The Netherlands ered, defined as the peak hand aperture minus object size. Key words Motor control 9 Speed-accuracy trade-off Prehension. Human Introduction In 1899 Woodworth demonstrated that in a task requiring a pencil to be moved between three target points arranged in a triangular manner speeding up the movement resulted in a loss of accuracy. However, it was not until Fitts refined these early experiments in 1954 that the speed-accuracy trade-off in movement assumed its present status within the field of motor control, Instead of using target points, Fitts required his subjects to reverse their movement within (two) designated target areas. By varying target width and inter-target distance (amplitude), Fitts demonstrated that a lawful relation exists between the speed and the accuracy of movement: The time taken to complete the movement was shown to be a function of the index of difficulty, the latter being the logarithm (to the base 2) of twice the movement amplitude divided by the target width. The same kind of relation was subsequently demonstrated to hold for discrete aiming movements by Fitts and Peterson (1964). Although there is currently some discussion on whether the logarithmic function is, in general, the most appropriate description of the speed-accuracy trade-off (e.g. Meyer et al. 1988), the basic proposition that movement time increases when aiming movements are directed toward smaller or targets further away has received much experimental support (Jagacinski et al. 1980; Kerr 1973; Meyer et al. 1982; Wade et al. 1978). While the underlying assumption of research on simple aiming movements is that the findings will generalise to other, more complex tasks, the question whether Fitts' law also holds for a task like prehension has, however, not yet been answered. This question is nevertheless of particular interest, as the control and coordina- 536 tion of components in the latter task has been the subject of much discussion during the last decade (Arbib 1981, 1985; Bootsma and Van Wieringen 1992; Chieffi and Gentilucci 1993; Haggard and Wing 1991; Jakobson and Goodale 1991; Jeannerod, 1981, 1984, 1988; Marteniuk et al. 1987, 1990; Paulignan et al. 1991a,b; Wallace and Weeks 1988; Wallace et al. 1990, 1992; Wing et al. 1986). A prehensile act can be considered as two coordinated functional components that allow the hand to eventually establish the required contact with the object for manipulation to ensue. The transport component is responsible for bringing the hand/wrist system into the vicinity of the object to be grasped, and the grasp component is responsible for the formation of the grip. Jeannerod (1981, 1984), see also Arbib (1981, 1985), has suggested that these two components are controlled via separate and independent visuo-motor pathways, while their coordination is ensured by a supra-ordinate control structure. The first question addressed in the present study is whether Fitts' law is to be found in the behaviour of the transport component (which can be considered to perform an aiming-type of task) during a prehensile act. The second question concerns the independence (as proposed by Jeannerod 1981, 1984) of the control structures for the two components. Fitts' law in prehension The issue of relevance for an evaluation of Fitts' law in prehension is, of course, the appropriate choice of the variables corresponding to movement amplitude and target width in aiming movements. We propose to adopt the following criteria: the prehension task variables should (i) relate logically to the aiming task variables, and (ii) exert similar effects on the kinematics of the movement. Importantly, in an aiming task, MacKenzie et al. (1987) demonstrated that manipulation of movement amplitude and manipulation of target width lead to quite different kinematic effects, with amplitude of movement affecting primarily the acceleration phase - its duration and the peak velocity attained and target width affecting the duration of the deceleration phase. In prehension, movement amplitude may be taken to be the distance between the starting point of the hand and the object to be grasped. A number of studies have demonstrated that this variable indeed affects the time taken to complete a prehension movement (Jakobson and Goodale 1991; Marteniuk et al. 1987; Zaal and Bootsma 1993), with larger movement amplitudes giving rise to longer movement times. Moreover, these studies also reproduced the scaling of peak velocity to movement amplitude as has been found in aiming. Identification of the prehension task variable(s) corresponding to target width in aiming is somewhat less straightforward. A number of prehension studies have demonstrated an effect of object size 1 on movement time (Athenes 1992; Jakobson and Goodale 1991 ; Marteniuk et al. 1987, 1990). The most extensive study on the topic (Marteniuk et al. 1990), using ten different object sizes ranging from 1 to 10 cm, reported a negative linear relationship between movement time and diameter of the disk to be grasped. Object size, however, delineates a constraint along a dimension that can be considered to be functionally orthogonal (Haggard 1991) to the direction of motion of the transport component and would thus not seem to represent the same type of constraint as does target width in aiming tasks. Interestingly, in the majority of studies that have varied object size cylindrical object forms were used. Increasing the diameter of a cylindrical object not only influences the minimal aperture needed to encompass the object (i.e. object size in the strict definition used here), but also affects the extension of the object along the primary dimension of movement of the transport component. Zaal and Bootsma (1993) have suggested that this confounding of object size - extent orthogonal to the reach axis - and object extension (or object width as we will call it from here on) - extent along the reach axis may have led to premature conclusions concerning the effect of object size on movement time. A generalisation of Fitts' law to prehension leads to the hypothesis that it is object width (and not object size) that influences the movement time. In the present study we set out to evaluate the effects of object size and object width on kinematic characteristics of the prehensile movement. By using non-cylindrical objects, we could vary the two object parameters independently. If, as we hypothesise, object width (W) influences movement time (MT), decreasing W should lead to an increase in MT. Object size (S), on the other hand, is not expected to influence MT, at least not until it comes close to the maximal aperture attainable by the subject. 2 Using 16 objects, differing in W (4 levels) and in S (4 levels), and two amplitudes of movement, the question of whether Fitts' law also holds in prehension can be addressed. Component independence In a prehensile act the spatio-temporal unfolding of the transport component, on which we have focussed so far, needs to be coordinated with the spatio-temporal unfolding of the grasp component, so that the fingers may enclose the object. Jeannerod (1981, 1984) has suggested that object location (i.e. distance and direction in an egocentric frame of reference) affects the transport component, while object size affects the grasp component. Moreover, the two visuomotor channels, for the trans1Object size refers to the intrinsic object property that defines the hand aperture needed to enclose the object (Jeannerod 1981, 1984) 2When object size approaches the maximal aperture attainable, this implies that severe spatial constraints are imposed on the control of direction of movement of the transport component. Hence, for large object sizes an increase in MT may be predicted 537 p o r t and grasp c o m p o n e n t s , should be considered as operating independently. A n u m b e r of researchers have d e m o n s t r a t e d that m a n i p u l a t i o n of the diameter of a cylindrical object exerts an influence on the t r a n s p o r t c o m p o n e n t , suggesting that this constitutes a violation of the p r o p o s e d independence of the t r a n s p o r t c o m p o nent (Ath6nes 1992; M a r t e n i u k et al. 1990; Paulignan et al. 1991b). As we have argued above, however, the effect of object diameter on the t r a n s p o r t c o m p o n e n t need not be due to changes in object size, but m i g h t stem from concurrent changes in object width. The p e a k aperture to which the h a n d is opened during a p p r o a c h has been shown to be a linear function of the size of the object to be grasped ( J a k o b s o n and G o o d a l e 1991; M a r t e n i u k et al. 1990; Zaal and Bootsm a 1993), However, for similar sized objects, Wing et al. (1986) found a dependency of p e a k hand aperture on the accuracy of m o v e m e n t of the t r a n s p o r t c o m p o n e n t , with less accurate m o v e m e n t s (i.e. m o v e m e n t s carried out without visual information) giving rise to larger p e a k apertures (see also Chieffi and Gentilucci 1993; J a k o b son and G o o d a l e 1991). Hence these results question the independent operation of the grasp c o m p o n e n t . In the present study we m a n i p u l a t e d b o t h object size and width, with the latter being hypothesised to constitute a constraint on t r a n s p o r t c o m p o n e n t m o v e m e n t accuracy. The hypothesis of c o m p o n e n t independence suggests that only m a n i p u l a t i o n of object size should affect p e a k h a n d aperture. If, on the other hand, b o t h the size and the width of the object to be grasped were found to influence the p e a k h a n d aperture attained with b o t h larger object sizes and larger object widths giving rise to larger p e a k h a n d apertures this would provide further evidence for a functional coupling of grasp and transport components. Materials and methods amplitude conditions, for a total of 320 experimental trials, with the order of presentation alternating over subjects. Under each movement amplitude condition, the 16 different objects were presented in a randomised order. For each object, the subjects practised the movement one or two times, after which ten experimental trials were recorded. Data was collected using an OPTOTRAK/3010 opto-electrical registration system (Northern Digital Inc, Waterloo, Ontario), consisting of three lenses mounted within a 1.1 m long bar. The bar was placed 2.5 m above the floor facing the subject's workspace at an angle of 40 deg. Four IREDs (Infrared emitting diodes) were sampled with a frequency of 200 Hz. They were placed on (i) the target, (ii) the upper medial corner of the thumb nail, (iii) the upper lateral corner of the index finger nail, and (iv) above the styloid process on the radial side of the wrist. The OPTOTRAK was pre-calibrated and gave rise to a static error (i.e. error observed for stationary IREDs) of less than 1 mm, and a dynamic error (i.e. error observed for moving IREDs) of less than 2 mm. Data analysis High frequency noise was removed from the three-dimensional position signals of each of the four IREDs using a second order recursive Butterworth filter with a cutoff frequency of 10 Hz. Time derivatives were calculated using local second order polynomials. Resultant velocity was calculated as the square root of the sum of the squared velocities in X, Y, and Z-directions. Initiation of movement was taken to be represented by the first movement of the thumb in the direction of the target object. Movement termination was indicated by the reversal of the direction of motion of the hand? The aperture of the hand was calculated for each frame as the 3D distance between the IREDs on the thumb and index finger. Results All dependent variables were analysed with 2 (movem e n t amplitude 20 and 30 c m ) x 4 (object size 3, 5, 7, and 9 cm) x 4 (object width 0.5, 1.0, 1.5, and 2.0 cm) repeated measures analyses of variance. Figure 1 presents illustrative examples of h a n d t r a n s p o r t and h a n d aperture profiles as a function of time. Subjects Five volunteers, one male and four female aged between 21 and 27 years, participated in the experiment. Apparatus and procedure Subjects were seated at a table, with the underarm and hand in line with the shoulder in the sagittal plane. Prior to each movement they assumed a standardised initial hand position, with the thumb and the index finger gently touching. The target objects were situated either 20 cm or 30 cm away from the starting position along the sagittal plane. The subjects were asked to pick up the target object as quickly as possible, using an index fingerthumb opposition, bring it to the starting position and then replace it on the target position (the orientation of the object for the next trial was thus controlled by the subject himself). Following a 'ready' signal given by the experimenter, they could start moving whenever they wanted. Objects used were 16 rectangular wooden blocks, varying in size (3, 5, 7, or 9 cm) and in width (always having square sides of 0.5, 1.0, 1.5, or 2.0 cm). The objects were always picked up by bringing the fingers into contact with the sides. Each subject performed 160 experimental trials under each of the two movement M o v e m e n t time Significant m a i n effects on M T were found for the factors m o v e m e n t amplitude (F1, 4 = 26.27, P < 0.01), object width (F3,~2=10.37, P<0.01), and object size (F3,12 = 8.57, P < 0 . 0 1 . N o n e of the interactions reached significance. A larger m o v e m e n t amplitude gave rise to 3We chose to operationalise movement termination as the moment of reversal of direction of motion of the hand (see also Marteniuk et al. 1990), rather than the moment when the fingers contacted the object or the moment the object was lifted off the table, for the following reasons. (i) This operationalisation involves only the component for which we are trying to assess the applicability of Fitts' law, namely the transport component; (ii) it remains as close as possible to that used in reciprocal aiming tasks; (iii) it does not give rise to different results with respect to the influence of W and S, but only influences the absolute magnitude of the MT, with MTs calculated on the basis of reversal of direction of motion of the hand being, on average, 15 ms longer than MTs calculated on the basis of first object movement 538 2000- E g >O O _J uJ > a z < -1- A A : 20 c m 150 W: 2.0 cm 1750' 125 1500' 100 1250 2 75 1000 750 - 50 50025 2500 0 200 300 500 400 s LU N 03 111 c~ ln" 111 o_ Y > s z < -r 0 6O0 i 100 2000 t E B A: 2 0 c m 125 1500 t "100 UJ N 1000 1 "75 w cc 750 1 "50 lnuJ n < 1250 1 500 t 250 1 I O, 0 "25 J I I I I I 100 200 300 400 500 E >I-O C A: 30cm 1750 125 1500 100 1250 1000 750 0 i i i ! 200 300 400 500 N 0 50 s~-LU a< LU > s Z < 32 A: 3 0 c m 125 100 650 _~ o o o 550 ~-- o W 500 > 450 O uJ N 1000 - 75 LU rr 750 '50 I-rr LU Q. < 500 9 '25 250 ~ I I I I I 100 200 300 400 500 0 600 TIME (ms) Fig. 1 Illustrative examples of resultant h a n d velocity (bold line) a n d h a n d aperture profiles (thin line) as a function of time for the four extreme combinations of m o v e m e n t amplitude (20 and 30 cm) and object width (0.5 a n d 2.0 cm). Each of the four movements presented was directed toward a 5 cm sized object 600 E 9 T I M E (ms) g LU 150 W: 0 . 5 c m 1250 0 600 D 1750 1500 W 0 i 100 E LU rr 25 250 E 75 500 0 2000 150 W: 2.0cm ._1 W > a Z < "1- 0 600 TIME (ms) T I M E (ms) 2000 ~150 W: 0.5 cm 1750 1 sized objects, as compared to the others (NewmanKeuls test P < 0.05). On the average MTs were 492, 501, 495, and 524 ms for the 3, 5, 7, and 9 cm sized objects, respectively. Calculating the index of difficulty as log2(2A/W), where A is amplitude and W object width, a significant fit between MT and the index of difficulty was found (r(32)=0.678, F1,30=25.45, P<0.001, see Fig. 2). Individual subject correlations between mean MT (for the 10 trials per condition) and ID ranged between 0.39 and 0.64 (all P's < 0.05). o o 0 400 4,0 Transport characteristics o , , , , ~ , 4,5 5,0 5,5 6,0 6,5 7,0 INDEX OF DIFFICULTY Fig. 2 M o v e m e n t time as a function of the index of difficulty, calculated as log2(2A/W), for prehensile movements directed towards the 16 different objects, placed at two different distances. The best fit line is described by M T = 317 + 34 * I D a longer MT, with MT being on average 472 ms for the 20 cm and 534 ms for the 30 cm movement. Decreasing object width resulted in increasing MTs (on average 486, 487, 512, and 528 ms for W equal to 2.0, 1.5, 1.0, and 0.5 cm, respectively). Post-hoc Newman-Keuls analysis (P < 0.05) revealed that all means were different, except two (between W = 2 . 0 and W = l . 5 cm and between W = 1.0 and W = 0 . 5 cm). The effect of object size was found to be caused solely by a longer MT for the 9 cm Total movement time was partitioned into in an acceleration phase (from movement onset until peak velocity) and a deceleration phase (from peak velocity until reversal of direction of motion of the hand). The lengthening of total MT with decreasing W was found to be caused by a lengthening of the duration of the deceleration p h a s e (F3,12 = - 1 0 . 2 8 , P < 0.01), while the duration of the acceleration phase was not affected (see Fig. 3). The effect of object size on total MT, caused by the lengthening of MT for the 9 cm sized objects, was also found to be the result of a lengthening of the deceleration phase for these objects only (overall main effect of S: f 3 j 2 = 5.68, P < 0.05; Post-hoc Newman-Keuls P < 0.05). The effect of movement amplitude on total MT (on average 64 ms) could not be attributed to a differential lengthening of either phase, as the effect was found to be partitioned over the duration of the acceleration phase (27 ms longer for the 30 cm movement) and the duration 539 E 300 - 275 t g LU Cr 250 " Acceleration Phase Deceleration Phase rr s 225 - 2OO 0,0 x._....--m 120 / . . . - ~ brr LU Z _o 140 - i ! i i i 0,5 1,0 1,5 2,0 2,5 n < C3 Z < "iv < LU n 100 ~ ._.....o-..--------o 80- 60 , 0,0 ' '1 i i i i 0,5 1,0 1,5 2,0 2,5 OBJECT WIDTH (cm) 1350 object size [] 1250 ' 9 " 1200 - 1150 0,0 7 cm ~ ----o--- 5 cm 3 cm 700 6oo 1300 - < LIJ (3. 9 cm 9 Fig. 5 Peak hand aperture as a function of object width for the 9, 7, 5, and 3 cm sized objects E vE >- - g O LU > Q Z < I ,m O B J E C T W I D T H (cm) Fig. 3 Duration of the acceleration and deceleration phases as a function of object width E object size ~ 0,5 , , , 1,0 1,5 2,0 cm 7 cm 9 cm ~ 5 ~ 3 cm 2,5 O B J E C T W I D T H (cm) Fig. 4 P e a k h a n d velocity as a function of object w i d t h for the 9, 7, 5, a n d 3 c m sized objects O 9 _J iJJ > <5 z (f) O d O ,,z < LIJ 13. object size 5o0 4o0 300 cm cm 5 cm 3 cm 9 9 9 7 Z 2oo 0,0 i i i i i 0,5 1,0 1,5 2,0 2,5 O B J E C T W I D T H (cm) Fig. 6 Peak finger closing velocity as a function of object width for the 9, 7, 5, and 3 cm sized objects of the deceleration phase (37 ms longer for the 30 cm averaged over amplitudes and object widths). Similarly, movement). The interactions between movement ampli- increasing object width gave rise to proportional intude, object size, and object width did not reach signifi- creases in peak hand aperture, with the best fit line being cance. described by peak hand aperture (mm) = 91.5 + 0.77 * W The magnitude of the peak hand velocity reached dur- (mm), r(4) = 0.985, F1,2= 65.02, P < 0.01 (data averaged ing approach was affected by movement amplitude over amplitudes and object sizes). (F1.4 = 58.13, P < 0.01), with a higher peak hand velocity As was found for peak hand aperture, peak finger being attained for the longer movement amplitude (on closing velocity was found to depend on both object size average, 1151 and 1352 mm s 1 for the 20 and 30 cm (F3,~2= 19.28, P<0.001) and object width (F3,12=7.73, movement amplitudes, respectively). Peak hand velocity P < 0.01), while their interaction was not significant (alwas also affected by object size (F3,12=3.79, P<0.05) though a tendency toward significance was to be disand object width (F3,12=4.41, P<0.05). The 7 cm sized cerned: F3,12 = 1.89, P<0.10, see Fig. 6). Increasing obobject gave rise to the highest peak hand velocity, while ject size resulted in a decreasing peak finger closing vedecreasing object width appeared to systematically low- locity (on the average 526, 490, 426, and 294 mm s-a for er peak hand velocity (see Fig. 4). None of the interac- the 3, 5, 7, and 9 cm sized objects, respectively), while tions reached significance. increasing object width led to increasing peak finger closing velocities (on average, 344, 409, 471, and 514 mm s-1 for the 0.5, 1.0, 1.5, and 2.0 cm object widths, Grasp characteristics respectively). The magnitude of the peak hand aperture attained durZaal and Bootsma (1993) have suggested that peak ing approach was found to depend on both object size finger closing velocity is a function of the distance to be (F3,12 = 107.74, P < 0.001) and object width (F3.~2= 18.75, covered - calculated as peak hand aperture minus obP<0.001), while their interaction was not significant ject size similar to the scaling of peak hand velocity (see Fig. 5). Increasing object size led to a proportional and movement amplitude discussed above. When disincrease in peak hand aperture, with the best fit line tance to be covered was calculated for all 32 combinabeing described by peak hand aperture (ram)= 60.2 + tions of movement amplitude, object size, and object 0.68 * S (mm), r(4)=0.998, F1,2=401.85, P<0.001 (data width, a strong linear relation was found to exist (see 540 %E E v 700 >,. i.- 600 (...) 0 ,.J ILl > 5OO (9 Z 400 o o 9 ..d 0 ',I o o o o0 o o oo 300 200 LU O_ 20 30 40 50 60 [PEAKHANDAPERTURE- OBJECTSIZE](mm) Fig. 7 Peak finger closing velocity as a function of distance to be covered, calculated as peak hand aperture minus object size, for prehensile movements directed towards the 16 different objects, placed at two different distances Fig. 7), with the best fit line being described by peak finger closing velocity (mm s-1)=-94.5+ 12.9 * [peak hand aperture - object size] (mm), r(32)=0.978, fl,3o = 672.33, P < 0.001. Discussion Contrary to what has been suggested in the literature, the results of the present study indicate that the size of the object to be grasped does not systematically influence the time taken to complete a prehensile movement. The reciprocal relation, reported by Marteniuk et al. (1990), between the diameter of a cylindrical object and MT most probably resulted from concurrent changes in object width (i.e. surface area available for placement of the fingers), as the present study has demonstrated that smaller object widths (while maintaining constant object size) gave rise to longer MTs. This effect on MT is brought about by a lengthening of the duration of the deceleration phase, similar to the effect of decreasing target width in aiming (MacKenzie et al. 1987). The latter observation, together with the fact that in prehension object width would appear to impose the same type of constraint as does target width in aiming, leads us to suggest that object width may be considered to be the task variable corresponding to target width in aiming. Because in prehension, as in aiming, movement amplitude affects MT while giving rise to a scaling of peak velocity, the two task variables of interest for an evaluation of Fitts' taw in prehension have been identified. The results of the present study indicate that in prehensile movements the time taken to pick up an object indeed increases as a linear function of the index of difficulty, calculated as log2(2A/W), where A is movement amplitude and W target object width. The strength of the relationship found (r(32)= 0.678) is somewhat less than that reported for aiming movements (e.g. Fitts 1954; Fitts and Peterson 1964; MacKenzie et al. 1987), as is the effect of increasing the index of difficulty on MT (e.g. the slope, 34 ms/bit). Nevertheless, the formal descrip- tion of the speed-accuracy trade-off that has been found to hold for simple aiming movements may be generalised to the more complex task of prehension. Many of the manipulations that have been reported to influence movement time in prehension tasks can thus be understood as stemming from the same underlying mechanism. For instance, the increase in MT, reported by Marteniuk et al. (1990), for disks of a smaller diameter can be viewed as a result of decreasing object width. The pro-active effect on the approach phase of the type of action to be performed with the object after it has been acquired, reported by Marteniuk et al. (1987), can also be understood along similar lines. Picking up an object to place it in a tight-fitting well was shown to lead to longer MTs (caused by a lengthening of the deceleration phase) than picking up the same object to throw it in a nearby box. We suggest that accuracy of the grip required, i.e. the precision of placement of the fingers, differed between these two conditions, with a smaller effective object width imposed for objects that needed to be fitted into the well. Finally, the lengthening of MT as a result of increasing the constraints on the motion of the target object after acquisition, as reported by Wallace and Weeks (1988), can also be understood as resulting from decreasing effective target object width. In prehension, transporting the hand needs to be complemented with a preshaping of the fingers in anticipation of contact 4 (Jeannerod 1984). The size of the object to be grasped does not by itself seem to influence kinematic characteristics of the transport component, although for sizes that demand a near-maximal hand aperture (i.e. for the 9 cm sized objects in the present experiment) an increase in MT can be observed that results from the fact that severe spatial constraints now come into operation for the control of direction of movement of the hand. The magnitude of the peak hand aperture attained, on the other hand, is adapted very accurately to the size of the object to be grasped (Athenes 1992: r(5)=1.00; Marteniuk et al. 1990: r(10)=0.99; Zaal and Bootsma 1993: r(3)=1.00; present study: r(4) = 1.00), although the slope of the relation between peak hand aperture and object size is always found to be smaller than unity (0.68 in the present study). Peak hand aperture was, however, not only influenced by object size but also by object width, with larger object widths being associated with larger peak apertures. As intimated in the introduction this constitutes a violation of the assumption of independence of transport and grasp components. The data suggest the following interpretation: Increasing object width leads to a lowering of the accuracy demands for the amplitude of transport component movement, allowing a faster movement to emerge. The lesser accuracy demanded from the transport component, however, concurrently gives rise to increased directional variability. This in4While this is, of course, true for all grasp formations, the current research and hence its discussion only addresses the preshaping for the precision grip 541 creased directional variability of the transport component is compensated for by a larger peak aperture attained during approach (grasp component), in line with the suggestion of Wing et al. (1986) and Wallace and Weeks (1988). 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