@misc{FazelRezaiAllisonGugeretal.2012, author = {Fazel-Rezai, Reza and Allison, Brendan Z. and Guger, Christoph and Sellers, Eric W. and Kleih, Sonja C. and K{\"u}bler, Andrea}, title = {P300 brain computer interface: current challenges and emerging trends}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-75941}, year = {2012}, abstract = {A brain-computer interface (BCI) enables communication without movement based on brain signals measured with electroencephalography (EEG). BCIs usually rely on one of three types of signals: the P300 and other components of the event-related potential (ERP), steady state visual evoked potential (SSVEP), or event related desynchronization (ERD). Although P300 BCIs were introduced over twenty years ago, the past few years have seen a strong increase in P300 BCI research. This closed-loop BCI approach relies on the P300 and other components of the ERP, based on an oddball paradigm presented to the subject. In this paper, we overview the current status of P300 BCI technology, and then discuss new directions: paradigms for eliciting P300s; signal processing methods; applications; and hybrid BCIs. We conclude that P300 BCIs are quite promising, as several emerging directions have not yet been fully explored and could lead to improvements in bit rate, reliability, usability, and flexibility.}, subject = {Psychologie}, language = {en} } @misc{Hommers1988, author = {Hommers, Wilfried}, title = {Review of "Roskam, E.E., \& Suck, R. (Eds.): Progress in mathematical psychology. Amsterdam: North-Holland, 1987, pp. 538."}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-43525}, year = {1988}, abstract = {No abstract available}, language = {en} } @misc{Schneider1988, author = {Schneider, Wolfgang}, title = {Book Reviews: Cognition, Metacognition, and Reading}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-62079}, year = {1988}, abstract = {No abstract available}, subject = {Psychologie}, language = {en} } @misc{WieserBrosch2012, author = {Wieser, Mattias J. and Brosch, Tobias}, title = {Faces in context: A review and systematization of contextual influences on affective face processing}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-76351}, year = {2012}, abstract = {Facial expressions are of eminent importance for social interaction as they convey information about other individuals' emotions and social intentions. According to the predominant "basic emotion" approach, the perception of emotion in faces is based on the rapid, auto- matic categorization of prototypical, universal expressions. Consequently, the perception of facial expressions has typically been investigated using isolated, de-contextualized, static pictures of facial expressions that maximize the distinction between categories. However, in everyday life, an individual's face is not perceived in isolation, but almost always appears within a situational context, which may arise from other people, the physical environment surrounding the face, as well as multichannel information from the sender. Furthermore, situational context may be provided by the perceiver, including already present social infor- mation gained from affective learning and implicit processing biases such as race bias.Thus, the perception of facial expressions is presumably always influenced by contextual vari- ables. In this comprehensive review, we aim at (1) systematizing the contextual variables that may influence the perception of facial expressions and (2) summarizing experimental paradigms and findings that have been used to investigate these influences. The studies reviewed here demonstrate that perception and neural processing of facial expressions are substantially modified by contextual information, including verbal, visual, and auditory information presented together with the face as well as knowledge or processing biases already present in the observer. These findings further challenge the assumption of auto- matic, hardwired categorical emotion extraction mechanisms predicted by basic emotion theories. Taking into account a recent model on face processing, we discuss where and when these different contextual influences may take place, thus outlining potential avenues in future research.}, subject = {Psychologie}, language = {en} }