Stefan Louw

Slant cues are processed with different latencies for the online control of movement

For the online control of movement, it is important to respond fast. The extent to which cues are effective in guiding our actions might therefore depend on how quickly they provide new information. We compared the latency to alter a movement when monocular and binocular cues indicated that the surface slant had changed. We found that subjects adjusted their movement in response to three types of information: information about the new slant from the monocular image, information about the new slant from binocular disparity, and information about the change in slant from the change in the monocular image. Responses to changes in the monocular image were approximately 40 ms faster than responses to a new slant estimate from binocular disparity and about 90 ms faster than responses to a new slant estimate from the monocular image. Considering these delays, adjustments of ongoing movements to changes in slant will usually be initiated by changes in the monocular image. The response will later be refined on the basis of combined binocular and monocular estimates of slant.

Judging surface slant for placing objects: a role for motion parallax

People have a variety of sources of information (cues) about surface slant at their disposal. We used a simple placing task to evaluate the relative importance of three such cues (motion parallax, binocular disparity and texture) within the space in which people normally manipulate objects. To do so, we projected a stimulus onto a rotatable screen. This allowed us to manipulate texture cues independently of binocular disparity and motion parallax. We asked people to stand in front of the screen and place a cylinder on the screen. We analysed the cylinder’s orientation just before contact. Participants mainly relied on binocular cues (weight between 50 and 90%), in accordance with binocular cues being known to be reliable when the stimulus surface is nearby and almost frontal. Texture cues contributed between 2 and 18% to the estimated slant. Motion parallax was given a weight between 1 and 9%, despite the fact that it only provided information when the head began to move, which was just before the arm did. Thus motion parallax is used to judge surface slant, even when one is under the impression of standing still.

Haptic detection of sine-wave gratings.

We studied human haptic perception of sine-wave gratings. In the first experiment we measured the dependence of amplitude detection thresholds on the number of cycles and on the wavelength of the gratings. In haptic perception of sine-wave gratings, the results are in agreement with neural summation. The rate at which detection thresholds decrease with increasing number of cycles is much higher than can be accounted for by probability summation alone. Further, neural summation mechanisms describe the detection thresholds accurately over the whole spatial range probed in the experiment, that is wavelengths from 14 mm up to 225 mm. Earlier, we found a power-law dependence of thresholds on the spatial width of Gaussian profiles (Louw et al, 2000 Experimental Brain Research 132 369–374). The current results extend these findings; the power-law dependence holds not only for Gaussian profiles, but also for a broad range of sine-wave gratings with the number of cycles varying between 1 and 8. Haptic perception involves tactual scanning combined with an active, dynamic exploration of the environment. We measured characteristics of the velocity and force with which stimuli were scanned while performing a psychophysical task. One particularly surprising finding was that, without being instructed, participants maintained an almost constant scanning velocity during each 45-min session. A constant velocity in successive trials of the experiment might facilitate or even be necessary for discrimination. Further, a large systematic dependence of velocity on scanning length was found. An eightfold increase in scanning length resulted in about a fourfold increase in scanning velocity. A second experiment was conducted to study the influence of scanning velocity on psychophysical detection thresholds. This was done by systematically imposing specific scanning velocities to the participants while the thresholds were measured. The main result of the second experiment was that psychophysical detection thresholds are constant over a relatively broad range of scanning velocities.

The Contribution of Covariation to Skill Improvement Is an Ambiguous Measure: Comment on Muller and Sternad (2004)

It has been proposed that it is possible to decompose changes in variability of human motor behavior into 3 independent components: covariation, task tolerance, and stochastic noise (H. Müller & D. Sternad). The authors simulate learning to throw accurately and show that for this task the proposed analysis does not give an unambiguous answer to the question of what the 3 components contribute to the simulated skill improvement. It is argued that this is caused by the fact that the component covariation depends on the choice of control variables. The authors conclude that it is not possible to distinguish between the 3 components of noise reduction without knowing the controlled variables.