2017
In haptic perception information is often sampled serially over a certain interval of time. For example, a stimulus is repeatedly indented to repeatedly estimate its softness. Albeit such redundant estimates are equally reliable, they seem to contribute differently to the overall haptic percept in a comparison task. When comparing the softness of two silicon rubber stimuli, the within-stimulus weights of estimates of the second stimulus' softness decrease during the exploration. Here we test the hypothesis that such decrease of weights depends on the representation strength of the first stimulus' softness. We varied the length of the first stimulus' exploration. Participants subsequently explored two silicon rubber stimuli by indenting the first stimulus (comparison) 1 or 5 times and the second stimulus (standard) always 3 times. We assessed the weights of indentation-specific estimates from the second stimulus by manipulating perceived softness during single indentations. Our results show that the longer the first stimulus is explored the more estimates of the second stimulus' softness can be included in the comparison of the two stimuli. This suggests that the exploration length of the first stimulus determines the strength of its representation which influences the decrease of weights of indentation-specific estimates of the second stimulus. Metzger, A., & Drewing, K. (2017, June). The longer the first stimulus is explored in softness discrimination the longer it can be compared to the second one. In 2017 IEEE World Haptics Conference (WHC) (pp. 31-36). IEEE.
Das Kapitel gibt einen ersten Überblick über den Kenntnisstand zur gemeinsamen Verarbeitung der Information aus verschiedenen Sinnen beim Menschen. Behandelt werden Prozesse der multisensorischen Integration redundanter Information und der multisensorischen Kombination, das Problem der Zuordnung zusammengehöriger Information aus verschiedenen Sinnen, Mechanismen des Abgleichs zwischen den Sinnen, die Rolle der Aufmerksamkeit sowie die neurophysiologischen Grundlagen multisensorischer Verarbeitung. Anhand von Beispielen aus Ergonomie und Klinik wird die Anwendbarkeit der Erkenntnisse verdeutlicht. Schlüsselwörter: Multisensorisch; Multimodal; Intersensorisch; Redundante Information; Signalintegration; Adaptation; Rekalibrierung; Crossmodale Aufmerksamkeit; Multisensorische Areale Drewing, K. (2017). Multisensorische Informationsverarbeitung. In Allgemeine Psychologie (pp. 75-101). Springer, Berlin, Heidelberg.
Participants explored a representative set of 47 solid, fluid and granular materials and rated them according to a list of 32 perceptual and 20 affective attributes. In a principal component analysis (PCA) of the perceptual ratings, we extracted six dimensions: Fluidity, Roughness, Deformability, Fibrousness, Heaviness, and Granularity explained 88% variance. A PCA on affective ratings revealed the dimensions: Valence, Arousal, and Dominance, explaining 92% variance. Greater Valence was significantly associated with reduced Roughness, greater Arousal with more Fluidity and greater Dominance with decreasing Deformability and decreasing Heaviness. Overall, the present study demonstrates that the range of affective responses to touched material is broader than previously assumed, and that these affective responses are systematically associated with certain perceptual dimensions. Drewing, K., Weyel, C., Celebi, H., & Kaya, D. (2017, June). Feeling and feelings: Affective and perceptual dimensions of touched materials and their connection. In 2017 IEEE World Haptics Conference (WHC) (pp. 25-30). IEEE.
Perceiving the sensory consequences of one’s own actions is essential to successfully interact with the environment. Previous studies compared self- (active) and externally generated (passive) movements to investigate the processing of voluntary action–outcomes. Increased temporal binding (intentional binding) as well as increased detection of delays between action and outcome have been observed for active compared to passive movements. Using transcranial direct stimulation (tDCS) it has been shown that left hemispheric anodal stimulation decreased the intentional binding effect. However, whether the left hemisphere contributes to delay detection performance between action and outcome is unknown. We investigated polarization-dependent effects of left and right frontoparietal tDCS on detecting temporal action–outcome discrepancies. We applied anodal and cathodal stimulation to frontal (F3/F4), parietal (CP3/CP4) and frontoparietal (F3/CP4) areas. After stimulation, participants were presented with visual feedback with various delays after a key press. They had to report whether they detected a delay between the key press and the feedback. In half of the trials the key press was self-initiated, in the other half it was externally generated. A main effect of electrode location indicated highest detection performance after frontal stimulation. Furthermore, we found that the advantage for active versus passive conditions was larger for left hemispheric anodal stimulation as compared to cathodal stimulation. Whereas the frontal cortex is related to delay detection performance in general, hemispheric differences seem to support the differentiation of self-initiated versus externally generated movement consequences. Straube, B., Schülke, R., Drewing, K., Kircher, T., & van Kemenade, B. M. (2017). Hemispheric differences in the processing of visual consequences of active vs. passive movements: a transcranial direct current stimulation study. Experimental brain research, 235(10), 3207-3216.