Thorsten Plewan
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View article: Deployment of attention in depth is biased to closer objects: An eye-tracking study
Deployment of attention in depth is biased to closer objects: An eye-tracking study Open
Previous research revealed that attention is not uniformly distributed across 3D space. Some results indicate that there is an egocentric attentional gradient through space. Accordingly, objects located closer to an observer are expected t…
View article: Switch costs of reorientation between different depth planes
Switch costs of reorientation between different depth planes Open
Reorientation of visuospatial attention is associated with cost. This holds true not only for attentional shifts within a fronto-parallel plane but also when attention is shifted between stereoscopic depth planes. These effects are often o…
View article: Attentional capture within and between depth planes
Attentional capture within and between depth planes Open
Theories of visual attention suggest two opposed control mechanisms: On the one hand there is intentional allocation of attention to specific objects or locations, or on the other hand involuntary attentional selection by salient stimulus …
View article: Surprising depth cue captures attention in visual search
Surprising depth cue captures attention in visual search Open
There is a substantial amount of evidence indicating that surprising events capture attention. A prototypical experimental paradigm comprises a target which has to be identified within a circular array of distractors. Initially, all possib…
View article: Fast and Forceful: Modulation of Response Activation Induced by Shifts of Perceived Depth in Virtual 3D Space
Fast and Forceful: Modulation of Response Activation Induced by Shifts of Perceived Depth in Virtual 3D Space Open
Reaction time (RT) can strongly be influenced by a number of stimulus properties. For instance, there was converging evidence that perceived size rather than physical (i.e., retinal) size constitutes a major determinant of RT. However, thi…
View article: Classifying Response Correctness across Different Task Sets: A Machine Learning Approach
Classifying Response Correctness across Different Task Sets: A Machine Learning Approach Open
Erroneous behavior usually elicits a distinct pattern in neural waveforms. In particular, inspection of the concurrent recorded electroencephalograms (EEG) typically reveals a negative potential at fronto-central electrodes shortly followi…