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Improved Targeting Through Collaborative Decision-Making and Brain Computer InterfacesThis paper reports a first step toward a brain-computer interface (BCI) for collaborative targeting. Specifically, we explore, from a broad perspective, how the collaboration of a group of people can increase the performance on a simple target identification 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 identification result determined by simple majority voting, with random choice in case of drawn. The results are promising, as the identification becomes significantly 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 briefly analyzes the role of brain-computer interfaces in collaborative targeting, extending the targeting task by using a BCI instead of a mechanical response.
Document ID
Document Type
Conference Paper
External Source(s)
Stoica, Adrian
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Barrero, David F.
(Alcala de Henares Univ. Madrid, Spain)
McDonald-Maier, Klaus
(Essex Univ. Colchester, United Kingdom)
Date Acquired
May 6, 2015
Publication Date
May 20, 2013
Subject Category
Aerospace Medicine
Avionics And Aircraft Instrumentation
Meeting Information
Meeting: 2013 International Conference on Collaboration Technologies and Systems (CTS 2013)
Location: San Diego, CA
Country: United States
Start Date: May 20, 2013
End Date: May 24, 2013
Funding Number(s)
Distribution Limits
Brain computer interfaces (BCI)
collaborative interfaces.

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