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Study on an online collaborative BCI to accelerate response to visual targets

Peng Yuan, Yijun Wang, Wei Wu, Honglai Xu, Xiaorong Gao, Shangkai Gao
2012 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society  
To further study the feasibility of collaborative BCIs, here we propose to develop an online collaborative BCI to accelerate human response to visual target stimuli by detecting multi-subjects' visual  ...  The concept of collaborative BCIs, which aimed to use multi-brain computing to enhance human performance, was proposed recently.  ...  DISCUSSION AND CONCLUSION This study presents a demonstration of an online collaborative BCI.  ... 
doi:10.1109/embc.2012.6346284 fatcat:dlinaxbu4bawbarpqupzno4udy

The perception of blackboard collaborate-based instruction by EFL majors/teachers amid COVID-19: A case study of Saudi universities

Ayman Farid KHAFAGA
2021 Journal of Language and Linguistic Studies  
This paper investigates the perception of using Blackboard Collaborate-based Instruction (BCI) by Saudi EFL majors and teachers during the crisis of COVID-19 pandemic.  ...  Results reveal that despite the challenges that encounter both students and teachers in managing the process of learning and teaching via Blackboard Collaborate amid COVID-19, which are ascribed to some  ...  Such a collaborative context has previously been emphasized by studies that highlighted the effective contribution of BCI in activating and fostering a collaboratively educational atmosphere among participants  ... 
doi:10.17263/jlls.904145 fatcat:lbyq2jhq3bddng25fugiupvxpa

A Collaborative Brain-Computer Interface for Accelerating Human Decision Making [chapter]

Peng Yuan, Yijun Wang, Xiaorong Gao, Tzyy-Ping Jung, Shangkai Gao
2013 Lecture Notes in Computer Science  
This study presents an online collaborative BCI for improving individuals' decision making in a visual Go/NoGo task.  ...  This study suggested that a collaborative BCI could accelerate human decision making with reliable prediction accuracy in real time.  ...  Through offline demonstrations of collaborative BCIs, these studies suggest that a collaborative BCI, which integrated neural information from multiple individuals, can outperform a single-brain BCI.  ... 
doi:10.1007/978-3-642-39188-0_72 fatcat:wc37unoit5aorkrg6mzt4q35kq

Hybrid Collaborative Brain–Computer Interfaces to Augment Group Decision-Making [chapter]

Davide Valeriani, Caterina Cinel, Riccardo Poli
2019 Neuroergonomics  
. 1,2 This study proposes an innovative hybrid cBCI to augment group performance in decision making.  ...  Results show that cBCI-assisted groups are significantly superior to non-BCI ones for all even group sizes (Wilcoxon signed-rank test p < 0.05).  ...  Figure 1 . 1 Percentage of correct decisions achieved by groups of different sizes using standard majority (black dotted line) and the proposed cBCI (red solid line) in the two experiments conducted.  ... 
doi:10.1016/b978-0-12-811926-6.00031-2 fatcat:fj5gkdre4vac3acenlajqwbkja

Past and Future of Multi-Mind Brain–Computer Interfaces [chapter]

Davide Valeriani, Ana Matran-Fernandez
2018 Brain–Computer Interfaces Handbook  
brain signals from multiple people and optimally form groups to maximize performance.  ...  This chapter reviews the history of multi-mind BCIs that have their root in the hyperscanning technique; the collaborative and competitive approaches; and the different ways that exist to integrate the  ...  However, that study did not investigate a combined approach where collaborative BCIs are based on the aggregation of trials over time and over participants.  ... 
doi:10.1201/9781351231954-36 fatcat:2tsnb6aiinh63b5sdtef7tapja

Direct Communication Between Brains: A Systematic PRISMA Review of Brain-To-Brain Interface

Chang S. Nam, Zachary Traylor, Mengyue Chen, Xiaoning Jiang, Wuwei Feng, Pratik Yashvant Chhatbar
2021 Frontiers in Neurorobotics  
B2BIs function via a brain-computer interface (BCI) to read a sender's brain activity and a computer-brain interface (CBI) to write a pattern to a receiving brain, transmitting information.  ...  In terms of study design, 73.3% (11) are unidirectional and 86.7% (13) use only a 1:1 collaboration model (subject to subject).  ...  In particular, this study focused on four main research questions (RQs) regarding (1) BCI methodology, (2) CBI methodology, (3) Collaboration type, and (4) Collaboration model by subject type.  ... 
doi:10.3389/fnbot.2021.656943 pmid:34025383 pmcid:PMC8138057 fatcat:lhgrhtetsncp3ffkkglfa74mzy

Towards the automated localisation of targets in rapid image-sifting by collaborative brain-computer interfaces

Ana Matran-Fernandez, Riccardo Poli, Dewen Hu
2017 PLoS ONE  
The information from multiple participants can be fused at different levels in order to create a collaborative BCI.  ...  For example, in their N2pc-driven BCI (which is, to the best of our knowledge, the only system that has used this ERP to control a BCI), Awni and collaborators [41] performed 3 repetitions of each stimulus  ...  Since the main purpose of the study was to demonstrate that collaborative BCIs can significantly improve the results obtained with single-user BCIs, not to establish whether they are best used at 5, 6  ... 
doi:10.1371/journal.pone.0178498 pmid:28562664 pmcid:PMC5451058 fatcat:676nkbtqgndmbo3ufena2ah2la

Advancing Brain-Computer Interface Applications for Severely Disabled Children Through a Multidisciplinary National Network: Summary of the Inaugural Pediatric BCI Canada Meeting

Eli Kinney-Lang, Dion Kelly, Erica D. Floreani, Zeanna Jadavji, Danette Rowley, Ephrem Takele Zewdie, Javad R. Anaraki, Hosein Bahari, Kim Beckers, Karen Castelane, Lindsey Crawford, Sarah House (+9 others)
2020 Frontiers in Human Neuroscience  
However, children have been neglected in BCI research and a collaborative BCI research community is required to unite and push pediatric BCI development forward.  ...  To this end, the pediatric BCI Canada collaborative network (BCI-CAN) was formed, under a unified goal to cooperatively drive forward pediatric BCI innovation and impact.  ...  Through seeking multi-site ethics approval, the collaboration will reduce the amount of time spent on individual research ethics applications for proposed collaborative studies.  ... 
doi:10.3389/fnhum.2020.593883 pmid:33343318 pmcid:PMC7744376 fatcat:2xfyuqind5fehpj3ntk3rxbrtu

Wireless Computer-Supported Cooperative Work: A Pilot Experiment on Art and Brain–Computer Interfaces

Gabriel G. De la Torre, Sara Gonzalez-Torre, Carlos Muñoz, Manuel A. Garcia
2019 Brain Sciences  
Second, we studied the cortical activation patterns of participants performing the drawing task with and without the BCI technology.  ...  The present case study looked into the feasibility of using brain–computer interface (BCI) technology combined with computer-supported cooperative work (CSCW) in a wireless network.  ...  In this study, participants several kilometers apart were able to create a simple painting using EEG patterns transmitted via connected BCI systems.  ... 
doi:10.3390/brainsci9040094 pmid:31027220 pmcid:PMC6523185 fatcat:kuqtv5cawvexzbh7ub5q2kw2ca

A collaborative Brain-Computer Interface to improve human performance in a visual search task

Davide Valeriani, Riccardo Poli, Caterina Cinel
2015 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)  
(majority-based) group decisions and group decisions made by a PCA-based collaborative BCI.  ...  Results obtained with 10 participants indicate that for almost all group sizes our new CSP-based collaborative BCI yields group decisions that are statistically significantly better than both traditional  ...  (majority-based) group decisions and group decisions made by a PCA-based collaborative BCI.  ... 
doi:10.1109/ner.2015.7146599 dblp:conf/ner/ValerianiPC15a fatcat:pnfc5l4twrertiom4xzl7urmcq

Effects of Physiology-Based Interaction on Collaborative Performance

Sebastián Mealla, Sergi Jordà, Aleksander Väljamäe
2010 Zenodo  
In this project we present a system for collaborative sound generation and control built from a Hybrid Brain-Computer Interface device (BCI) featuring Electroencephalogram (EEG) and Electrocardiogram (  ...  The study has revealed four main effects of physiology-based interaction applied to a collaborative performance in a TUI. (1) Teams working with a combination of implicit and explicit models of interaction  ...  (client) via TCP/IP (figure 10).  ... 
doi:10.5281/zenodo.3753106 fatcat:7fieolvccjes7p4rtty5d4vnxa

BNCI Horizon 2020: towards a roadmap for the BCI community

Clemens Brunner, Niels Birbaumer, Benjamin Blankertz, Christoph Guger, Andrea Kübler, Donatella Mattia, José del R. Millán, Felip Miralles, Anton Nijholt, Eloy Opisso, Nick Ramsey, Patric Salomon (+1 others)
2015 Brain-Computer Interfaces  
The brain-computer interface (BCI) field has grown dramatically over the past few years, but there are still no coordinated efforts to ensure efficient communication and collaboration among key stakeholders  ...  Major goals of this new project include developing a roadmap for the next decade and beyond, encouraging discussion and collaboration within the BCI community, fostering communication with the general  ...  We provide a continuously updated list of BCI-related companies on our website at http://bnci-horizon-2020.eu/ index.php/community/companies.  ... 
doi:10.1080/2326263x.2015.1008956 fatcat:l3bhsfmavzg7bi6abigkc6tdei

Going beyond "beyond being there": An inquiry into the use of brain-computer interface technologies and intelligent machine agents to facilitate inconspicuous communication

Sidas A. Saulynas, Ravi Kuber
2015 2015 International Conference on Collaboration Technologies and Systems (CTS)  
Members of a university marching band participated in interviews and two focus groups to examine how a marching band needs to communicate during a live performance.  ...  In this paper, we present a discussion on the potential use of intelligent machine agents and brain-computer interface (BCI) technologies to help facilitate inconspicuous communication.  ...  Perhaps this concern is echoed in the trepidation expressed by the study participants over the use of BCI.  ... 
doi:10.1109/cts.2015.7210466 dblp:conf/cts/SaulynasK15 fatcat:xryhp4z2uzgnnh7ndgqygcfgsq

Collaborative Brain-Computer Interface for Human Interest Detection in Complex and Dynamic Settings

Amelia Solon, Stephen Gordon, Jonathan McDaniel, Vernon Lawhern
2018 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)  
Here, we lay the groundwork for a real-world system that passively monitors and merges neural correlates of visual interest across team members via Collaborative Brain Computer Interface (cBCI).  ...  When group interest is detected and co-registered in time and space, it can be used to model the task relevance of items in a dynamic, natural environment.  ...  In this case, collaboration across people has the potential to detect only the stimuli that are related to the groups' shared goals.  ... 
doi:10.1109/smc.2018.00172 dblp:conf/smc/SolonGML18 fatcat:6njis5qcjng4pbj6ow3spwcopm

Neurotechnologies for Human Cognitive Augmentation: Current State of the Art and Future Prospects

Caterina Cinel, Davide Valeriani, Riccardo Poli
2019 Frontiers in Human Neuroscience  
Group Decision Making and Collaborative BCIs (cBCIs) In the last few years, researchers have started evaluating the possibilities offered by ERP-based single-trial collaborative BCIs.  ...  For example, in a study of collaborative BCI applied to target detection in rapidly presented streams of aerial images, Matran-Fernandez and found that performance of the collaborative BCI further improved  ... 
doi:10.3389/fnhum.2019.00013 pmid:30766483 pmcid:PMC6365771 fatcat:sc4ppsy2dza3lfv7ne7q2k3b6i
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