Toward Usability Evaluation for Brain–Computer Interfaces

Rhiu, Ilsun; Lee, Yushin; Choi, Inchul; Yun, Myung Hwan; Nam, Chang S.

doi:10.1201/9781351231954-29

Cited by 7 publications

(20 citation statements)

References 1 publication

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“…The usability framework [46] consists of 6 components divided into 4 groups, (i) User, (ii) User activity, comprising Task and the Environment, (iii) Technology and (iv) Evaluation, comprising Methods and Measures (Fig. 1).…”

Section: Methodsmentioning

confidence: 99%

“…1). The framework has been recently published, and the examples in [46] were based on previously published papers, which did not follow the framework from the outset. In order to implement the framework, we further subdivided these 6 generic components to suit to the particular study design.…”

Section: Methodsmentioning

confidence: 99%

“…Here we describe the SCI participant’s task only. Rhiu et al [46] suggested that all BCI tasks should be classified as opened and closed tasks, depending on weather researchers or participants define the outcome of the task. The NFB tasks can be described as closed self-managed task, i.e.…”

Section: Methodsmentioning

confidence: 99%

“…Additional training sessions were organised as required. Description of the NFB task: NFB can be classified as a mental task [46]. During NFB, participants were sitting about 1 meter from the computer screen (Fig.…”

Section: Methodsmentioning

confidence: 99%

“…Recently, Rhiu et al [46] proposed a BCI usability framework that is an adapted version of a usability framework for consumer audio-visual technology [47]. In this study we adopted Rhiu’s framework to test the usability of patient self-managed BCI NFB treatment of CNP using wireless consumer BCI technology.…”

Section: Introductionmentioning

confidence: 99%

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Home used, patient self-managed, brain-computer interface for the management of central neuropathic pain post spinal cord injury: usability study

Al-Taleb

Purcell

Fraser

et al. 2019

J NeuroEngineering Rehabil

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BackgroundCentral Neuropathic Pain (CNP) is a frequent chronic condition in people with spinal cord injury (SCI). Previously, we showed that using laboratory brain-computer interface (BCI) technology for neurofeedback (NFB) training, it was possible to reduce CNP in people with SCI. In this study, we show results of patient self-managed treatment in their homes with a BCI-NFB using a consumer EEG device.MethodsUsers: People with chronic SCI (17 M, 3 F, 50.6 ± 14.1 years old), and CNP ≥4 on a Visual Numerical Scale. Location: Laboratory training (up to 4 sessions) followed by home self-managed NFB. User Activity: Upregulating the EEG alpha band power by 10% above a threshold and at the same time downregulating the theta and upper beta (20-30 Hz) band power by 10% at electrode location C4. Technology: A consumer grade multichannel EEG headset (Epoch, Emotiv, USA), a tablet computer and custom made NFB software. Evaluation: EEG analysis, before and after NFB assessment, interviews and questionnaires.ResultsEffectiveness: Out of 20 initially assessed participants, 15 took part in the study. Participants used the system for 6.9 ± 5.5 (median 4) weeks. Twelve participants regulated their brainwaves in a frequency specific manner and were most successful upregulating the alpha band power. However they typically upregulated power around their individual alpha peak (7.6 ± 0.8 Hz) that was lower than in people without CNP. The reduction in pain experienced was statistically significant in 12 and clinically significant (greater than 30%) in 8 participants. Efficiency: The donning was between 5 and 15 min, and approximately 10–20% of EEG data recorded in the home environment was noise. Participants were mildly stressed when self-administering NFB at home (2.4 on a scale 1–10). User satisfaction: Nine participants who completed the final assessment reported a high level of satisfaction (QUESQ, 4.5 ± 0.8), naming effectiveness, ease of use and comfort as main priorities. The main factors influencing frequency of NFB training were: health related issues, free time and pain intensity.ConclusionPortable NFB is a feasible solution for home-based self-managed treatment of CNP. Compared to pharmacological treatments, NFB has less side effects and provides users with active control over pain.Trial registrationGN15NE124, Registered 9th June 2016.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Home used, patient self-managed, brain-computer interface for the management of central neuropathic pain post spinal cord injury: usability study

Al-Taleb

Purcell

Fraser

et al. 2019

J NeuroEngineering Rehabil

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A review of user training methods in brain computer interfaces based on mental tasks

et al. 2021

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Mental-Tasks based Brain-Computer Interfaces (MT-BCIs) allow their users to interact with an external device solely by using brain signals produced through mental tasks. While MT-BCIs are promising for many applications, they are still barely used outside laboratories due to their lack of reliability. MT-BCIs require their users to develop the ability to self-regulate specific brain signals. However, the human learning process to control a BCI is still relatively poorly understood and how to optimally train this ability is currently under investigation. Despite their promises and achievements, traditional training programs have been shown to be sub-optimal and could be further improved. In order to optimize user training and improve BCI performance, human factors should be taken into account. An interdisciplinary approach should be adopted to provide learners with appropriate and/or adaptive training. In this article, we provide an overview of existing methods for MT-BCI user training-notably in terms of environment, instructions, feedback and exercises. We present a categorization and taxonomy of these training approaches, provide guidelines on how to choose the best methods and identify open challenges and perspectives to further improve MT-BCI user training.

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Usability Evaluation of Brain Computer Interfaces: Analysis of Methods and Tools

Ortega-Gijón

Mezura-Godoy

2019

2019 IEEE International Conference on Engineering Veracruz (ICEV)

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Toward Usability Evaluation for Brain–Computer Interfaces

Cited by 7 publications

References 1 publication

Home used, patient self-managed, brain-computer interface for the management of central neuropathic pain post spinal cord injury: usability study

Home used, patient self-managed, brain-computer interface for the management of central neuropathic pain post spinal cord injury: usability study

A review of user training methods in brain computer interfaces based on mental tasks

Usability Evaluation of Brain Computer Interfaces: Analysis of Methods and Tools

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