The Functional Role of Cognitive Frameworks on Visuomotor Adaptation Performance

The authors investigated the effects of cognitive representations of movement directions on sensorimotor adaptation performance. Adaptation performance was measured via a pointing experiment in which participants were provided with visual feedback that was distorted along the midsagittal plane (i.e., left-right reversal). Performance was analyzed relative to participants’ individual adaptation gains and 3 groups were subsequently defined (i.e., skilled, average, and poor adapters). The group separation was kept for the Cognitive Measurement of Represented Directions, which was used to analyze participants’ cognitive representation of movement directions. The results showed that skilled adapters, in contrast to poor adapters, possess a global representation of movement directions aligned to the cardinal axes. The cognitive representation structure hence supports the sensorimotor adaptation performance.     

Grasping of extrafoveal targets: A robotic model

We present a computational model of grasping of non-fixated (extrafoveal) target objects which is implemented on a robot setup, consisting of a robot arm with cameras and gripper. This model is based on the premotor theory of attention (Rizzolatti et al., 1994) which states that spatial attention is a consequence of the preparation of goal-directed, spatially coded movements (especially saccadic eye movements). In our model, we add the hypothesis that saccade planning is accompanied by the prediction of the retinal images after the saccade. The foveal region of these predicted images can be used to determine the orientation and shape of objects at the target location of the attention shift. This information is necessary for precise grasping. Our model consists of a saccade controller for target fixation, a visual forward model for the prediction of retinal images, and an arm controller which generates arm postures for grasping. We compare the precision of the robotic model in different task conditions, among them grasping (1) towards fixated target objects using the actual retinal images, (2) towards non-fixated target objects using visual prediction, and (3) towards non-fixated target objects without visual prediction. The first and second setting result in good grasping performance, while the third setting causes considerable errors of the gripper orientation, demonstrating that visual prediction might be an important component of eye–hand coordination. Finally, based on the present study we argue that the use of robots is a valuable research methodology within psychology.     

Counting does not improve the accuracy of long time productions

Attention, Perception, & Psychophysics - It is common to use counting strategies to produce time intervals accurately. Does counting improve the accuracy (deviation of produced duration from...     

Commitment through Employee Volunteering: Accounting for the Motives of Inter‐Organisational Volunteers

This study investigated whether participating in inter‐organisational (i.e. self‐directed, non‐strategic) employee volunteering, which is common but rarely studied, is associated with increased organisational commitment. We find evidence for this relation in a sample (N = 385) of employee volunteers and their non‐volunteering co‐workers. We statistically account for self‐selection into the volunteering program by incorporating individual motives for volunteering. Volunteers compared to non‐volunteers exhibited relatively stronger motives of expressing altruistic values and avoiding negative affect, but a weaker motive of attaining career advancement. Our findings point to an efficient way of increasing organisational commitment that is relatively inexpensive to implement. They also complement existing research from other employee volunteering contexts, pointing to a possible trade‐off between the desired outcomes of effectively managing volunteering programs.