Dataset for: Higher-order cognition does NOT modulate multisensory distractor processing msf_av_mirror2.txt

DOI

Multisensory processing is required for the perception of the majority of everyday objects and events. In the case of irrelevant stimuli, the multisensory processing of features is widely assumed to be modulated by attention. In the present study, we investigated whether the processing of audiovisual distractors is also modulated by higher-order cognition. Participants fixated a visual distractor viewed via a centrally-placed mirror and responded to a laterally-presented audiovisual target. Critically, a distractor tone was presented from the same location as the mirror, while the visual distractor feature was presented at an occluded location, visible only indirectly via mirror reflection. Consequently, it appeared as though the visual and auditory features were presented from the same location though, in fact, they actually originated from different locations. Nevertheless, the results still revealed that the visual and auditory distractor features were processed together just as in the control condition, in which the audiovisual distractor features were both actually presented from fixation. Taken together, these results suggest that the processing of irrelevant multisensory information is not influenced by higher-order cognition.

Dataset for: Merz, S., Jensen, A., Burau, C., Spence, C., & Frings, C. (2020). Higher-Order Cognition Does Not Affect Multisensory Distractor Processing. Multisensory Research, 1–14. https://doi.org/10.1163/22134808-bja10013

Identifier
DOI https://doi.org/10.23668/psycharchives.2688
Metadata Access https://api.datacite.org/dois/10.23668/psycharchives.2688
Provenance
Creator Merz, Simon; Jensen, Anne; Burau, Charlotte; Spence, Charles; Frings, Christian
Publisher PsychArchives
Contributor Leibniz Institut Für Psychologie (ZPID); University Of Trier
Publication Year 2020
Rights CC-BY-SA 4.0; openAccess; Creative Commons Attribution Share Alike 4.0 International
OpenAccess true
Representation
Language English
Resource Type Dataset
Discipline Social Sciences