Literature DB >> 21436511

Workload measurement in a communication application operated through a P300-based brain-computer interface.

A Riccio1, F Leotta, L Bianchi, F Aloise, C Zickler, E-J Hoogerwerf, A Kübler, D Mattia, F Cincotti.   

Abstract

Advancing the brain-computer interface (BCI) towards practical applications in technology-based assistive solutions for people with disabilities requires coping with problems of accessibility and usability to increase user acceptance and satisfaction. The main objective of this study was to introduce a usability-oriented approach in the assessment of BCI technology development by focusing on evaluation of the user's subjective workload and satisfaction. The secondary aim was to compare two applications for a P300-based BCI. Eight healthy subjects were asked to use an assistive technology solution which integrates the P300-based BCI with commercially available software under two conditions--visual stimuli needed to evoke the P300 response were either overlaid onto the application's graphical user interface or presented on a separate screen. The two conditions were compared for effectiveness (level of performance), efficiency (subjective workload measured by means of NASA-TXL) and satisfaction of the user. Although no significant difference in usability could be detected between the two conditions, the methodology proved to be an effective tool to highlight weaknesses in the technical solution.

Entities:  

Mesh:

Year:  2011        PMID: 21436511     DOI: 10.1088/1741-2560/8/2/025028

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  17 in total

1.  Effects of text generation on P300 brain-computer interface performance.

Authors:  Jane E Huggins; Ramses E Alcaide-Aguirre; Katya Hill
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2016-07-04

2.  Heading for new shores! Overcoming pitfalls in BCI design.

Authors:  Ricardo Chavarriaga; Melanie Fried-Oken; Sonja Kleih; Fabien Lotte; Reinhold Scherer
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2016-12-30

3.  A novel real-time driving fatigue detection system based on wireless dry EEG.

Authors:  Hongtao Wang; Andrei Dragomir; Nida Itrat Abbasi; Junhua Li; Nitish V Thakor; Anastasios Bezerianos
Journal:  Cogn Neurodyn       Date:  2018-02-21       Impact factor: 5.082

4.  Usability of a Hybrid System Combining P300-Based Brain-Computer Interface and Commercial Assistive Technologies to Enhance Communication in People With Multiple Sclerosis.

Authors:  Angela Riccio; Francesca Schettini; Valentina Galiotta; Enrico Giraldi; Maria Grazia Grasso; Febo Cincotti; Donatella Mattia
Journal:  Front Hum Neurosci       Date:  2022-05-26       Impact factor: 3.473

5.  Workshops of the Fifth International Brain-Computer Interface Meeting: Defining the Future.

Authors:  Jane E Huggins; Christoph Guger; Brendan Allison; Charles W Anderson; Aaron Batista; Anne-Marie A-M Brouwer; Clemens Brunner; Ricardo Chavarriaga; Melanie Fried-Oken; Aysegul Gunduz; Disha Gupta; Andrea Kübler; Robert Leeb; Fabien Lotte; Lee E Miller; Gernot Müller-Putz; Tomasz Rutkowski; Michael Tangermann; David Edward Thompson
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2014-01

6.  Mental workload during brain-computer interface training.

Authors:  Elizabeth A Felton; Justin C Williams; Gregg C Vanderheiden; Robert G Radwin
Journal:  Ergonomics       Date:  2012-04-16       Impact factor: 2.778

7.  Attention and P300-based BCI performance in people with amyotrophic lateral sclerosis.

Authors:  Angela Riccio; Luca Simione; Francesca Schettini; Alessia Pizzimenti; Maurizio Inghilleri; Marta Olivetti Belardinelli; Donatella Mattia; Febo Cincotti
Journal:  Front Hum Neurosci       Date:  2013-11-12       Impact factor: 3.169

8.  A hybrid brain-computer interface-based mail client.

Authors:  Tianyou Yu; Yuanqing Li; Jinyi Long; Feng Li
Journal:  Comput Math Methods Med       Date:  2013-04-18       Impact factor: 2.238

Review 9.  The Human Factors and Ergonomics of P300-Based Brain-Computer Interfaces.

Authors:  J Clark Powers; Kateryna Bieliaieva; Shuohao Wu; Chang S Nam
Journal:  Brain Sci       Date:  2015-08-10

10.  Comparison of eye tracking, electrooculography and an auditory brain-computer interface for binary communication: a case study with a participant in the locked-in state.

Authors:  Ivo Käthner; Andrea Kübler; Sebastian Halder
Journal:  J Neuroeng Rehabil       Date:  2015-09-04       Impact factor: 4.262

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