Research Repository

Hybrid Collaborative Brain-Computer Interfaces to Augment Group Decision Making

Valeriani, D and Cinel, C and Poli, R (2016) Hybrid Collaborative Brain-Computer Interfaces to Augment Group Decision Making. In: 1st International Conference on Neuroergonomics, ? - ?, Paris.


Download (2MB) | Preview


Collaborative brain-computer interfaces (cBCIs) have recently been used for neuroergonomics applications, such as improving group low-level decision-making. This chapter describes a hybrid cBCI to augment group performance in two realistic target-detection tasks: visual search, where participants had to spot a polar bear in an Arctic image including many penguins, and speech perception, where volunteers listened to audio recordings affected by noise and had to decide whether or not a target word was uttered. The cBCI aggregates individual behavioral responses according to confidence estimates obtained from neural signals and response times. Results indicate that the cBCI augments group performance in both tasks over traditional groups making decision with a standard majority. Also, cBCI groups were superior to nonBCI groups using confidence values reported by the participants to weigh decisions in visual search, although the opposite was true in speech perception.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: _not provided_ - Notes:
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 27 Feb 2017 14:01
Last Modified: 15 Jan 2022 01:16

Actions (login required)

View Item View Item