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Improved targeting through collaborative decision-making and brain computer interfaces

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dc.contributor.author Stoica, Adrian
dc.contributor.author . Barrero, David F
dc.contributor.author Mc Donald-Maier, Klaus
dc.date.accessioned 2014-01-21T17:23:46Z
dc.date.available 2014-01-21T17:23:46Z
dc.date.issued 2013-05-20
dc.identifier.citation 2013 International Conference on Collaboration Technologies and Systems, San Diego, California, May 20-24, 2013 en_US
dc.identifier.clearanceno 13-2046
dc.identifier.uri http://hdl.handle.net/2014/44195
dc.description.abstract This paper reports a firs step toward a braincomputer interface (BCI) for collaborative targeting. Specificall , we explore, from a broad perspective, how the collaboration of a group of people can increase the performance on a simple target identificatio task. To this end, we requested a group of people to identify the location and color of a sequence of targets appearing on the screen and measured the time and accuracy of the response. The individual results are compared to a collective identificatio result determined by simple majority voting, with random choice in case of drawn. The results are promising, as the identificatio becomes significantl more reliable even with this simple voting and a small number of people (either odd or even number) involved in the decision. In addition, the paper briefl analyzes the role of brain-computer interfaces in collaborative targeting, extending the targeting task by using a BCI instead of a mechanical response. en_US
dc.description.sponsorship NASA/JPL en_US
dc.language.iso en_US en_US
dc.publisher Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2013 en_US
dc.subject collaborative interfaces. en_US
dc.subject Brain computer interfaces (BCI) en_US
dc.title Improved targeting through collaborative decision-making and brain computer interfaces en_US
dc.type Preprint en_US


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