Caterina, Cinel and Poli, Riccardo (2021) Enhancing performance with multisensory cues in a realistic target discrimination tasks. [Data Collection]
Caterina, Cinel and Poli, Riccardo (2021) Enhancing performance with multisensory cues in a realistic target discrimination tasks. [Data Collection]
Caterina, Cinel and Poli, Riccardo 2022. Enhancing performance with multisensory cues in a realistic target discrimination tasks. [Data Collection]. Colchester, University of Essex. 10.5526/ERDR-00000144
Collection description
The data are collect from a study with human participants. Participants had to rapidly decide whether a character, appearing suddenly, and for a very short time, on the left or right side of a poorly-lit realistic indoor scene, was wearing a cap or a helmet. In some of the experiment blocks, the stimulus display was preceded by a cue indicating whether the character would appear on the left or the right, either as a spoken word (``left'' or ``right'') only, or in the form of a synthetic face uttering the cue word (with matching lip movements). Performance was then measured in terms of both accuracy and reaction times.
| Item Type: | Data Collection | ||||||||||||
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| Creators: |
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| Corporate creators: | University of Essex | ||||||||||||
| Division: | Faculty of Science and Health > Computer Science and Electronic Engineering, School of | ||||||||||||
| Subjects: | B Philosophy. Psychology. Religion > BF Psychology U Military Science > U Military Science (General) |
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| Keywords: | Multisensory perception, Perceptual decision task, Cueing paradigm, Audio-visual cues | ||||||||||||
| Research funder: | EPSRC, Dstl | ||||||||||||
| Grant reference: | EP/P009204/1 | ||||||||||||
| Grant title: | ONR-15-FOA-0011 MURI Topic #3 - Closed-Loop Multisensory Brain-Computer Interface for Enhanced Decision Accuracy | ||||||||||||
| Depositor: | Caterina Cinel | ||||||||||||
| Date Deposited: | 20 Jul 2022 16:56 | ||||||||||||
| Last Modified: | 20 Jul 2022 16:56 | ||||||||||||
| URI: | http://researchdata.essex.ac.uk/id/eprint/144 |
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| Country: | England | ||||
| Data collection method: | See README file. | ||||
| Data type: | Text | ||||
| Metadata language: | English | ||||
| Resource language: | English |
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Available files
Data
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Metadata Revision: 3
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Licence: Creative Commons: Attribution 4.0
File Size: 153kB