Enhancing user experience in c-VEP-based BCI: Effects of visual stimulus opacity on performance and visual fatigue

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Enhancing user experience in c-VEP-based BCI: Effects of visual stimulus opacity on performance and visual fatigue

ReferencesShowing 10 of 33 papers
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Online Adaptation of a c-VEP Brain-Computer Interface(BCI) Based on Error-Related Potentials and Unsupervised Learning
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  • PLoS ONE
  • Martin Spüler + 2 more

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Introducing chaotic codes for the modulation of code modulated visual evoked potentials (c-VEP) in normal adults for visual fatigue reduction.
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  • PLOS ONE
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A Dynamically Optimized SSVEP Brain–Computer Interface (BCI) Speller
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  • IEEE Transactions on Biomedical Engineering
  • Erwei Yin + 4 more

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Non-binary m-sequences for more comfortable brain–computer interfaces based on c-VEPs
  • Jun 15, 2023
  • Expert Systems with Applications
  • Víctor Martínez-Cagigal + 5 more

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Computing and Listing of Number of Possible m-sequence Generators of Order n
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  • 10.1088/2057-1976/ab0cee
Effects of high stimulus presentation rate on EEG template characteristics and performance of c-VEP based BCIs
  • Mar 28, 2019
  • Biomedical Physics & Engineering Express
  • Toygun Başaklar + 2 more

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Effects of visual contrast on visual evoked potentials and Doppler signal.
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A portable SSVEP-BCI system for rehabilitation exoskeleton in augmented reality environment
  • Feb 6, 2023
  • Biomedical Signal Processing and Control
  • Fei Wang + 4 more

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  • 10.1088/1741-2552/ac38cf
Brain–computer interfaces based on code-modulated visual evoked potentials (c-VEP): a literature review
  • Nov 26, 2021
  • Journal of Neural Engineering
  • Víctor Martínez-Cagigal + 5 more

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High-Frequency Discrete-Interval Binary Sequence in Asynchronous C-VEP-Based BCI for Visual Fatigue Reduction.
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  • IEEE journal of biomedical and health informatics
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CitationsShowing 1 of 1 papers
  • Research Article
  • 10.3390/brainsci15060549
Streamlining cVEP Paradigms: Effects of a Minimized Electrode Montage on Brain-Computer Interface Performance.
  • May 23, 2025
  • Brain sciences
  • Milán András Fodor + 3 more

(1) Background: Brain-computer interfaces (BCIs) enable direct communication between the brain and external devices using electroencephalography (EEG) signals, offering potential applications in assistive technology and neurorehabilitation. Code-modulated visual evoked potential (cVEP)-based BCIs employ code-pattern-based stimulation to evoke neural responses, which can then be classified to infer user intent. While increasing the number of EEG electrodes across the visual cortex enhances classification accuracy, it simultaneously reduces user comfort and increases setup complexity, duration, and hardware costs. (2) Methods: This online BCI study, involving thirty-eight able-bodied participants, investigated how reducing the electrode count from 16 to 6 affected performance. Three experimental conditions were tested: a baseline 16-electrode configuration, a reduced 6-electrode setup without retraining, and a reduced 6-electrode setup with retraining. (3) Results: Our results indicate that, on average, performance declines with fewer electrodes; nonetheless, retraining restored near-baseline mean Information Transfer Rate (ITR) and accuracy for those participants for whom the system remained functional. The results reveal that for a substantial number of participants, the classification pipeline fails after electrode removal, highlighting individual differences in the cVEP response characteristics or inherent limitations of the classification approach. (4) Conclusions: Ultimately, this suggests that minimal cVEP-BCI electrode setups capable of reliably functioning across all users might only be feasible through other, more flexible classification methods that can account for individual differences. These findings aim to serve as a guideline for what is currently achievable with this common cVEP paradigm and to highlight where future research should focus in order to move closer to a practical and user-friendly system.

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This study investigates the effects of ambient illumination and negatively polarized text color on visual fatigue, exploring the issue of visual fatigue when using visual display terminals in low-illumination environments. The research methodology utilizes an experimental design to collect data on changes in pupil accommodation and blink rate through an eye tracker. Participants completed a reading task while exposed to various text colors and ambient light conditions to evaluate visual fatigue and cognitive performance. The study's findings suggest that text color significantly affects visual fatigue, with red text causing the highest level of visual fatigue and yellow text causing the lowest level of visual fatigue. Improvements in ambient lighting reduce visual fatigue, but the degree of improvement varies depending on the text color. Additionally, cognitive performance is better when using yellow and white text but worse when using red text. Yellow text is the most effective choice for reducing visual fatigue under negative polarity. Increasing ambient lighting can also improve visual fatigue in low-illumination conditions. These findings will offer valuable guidance for designing visual terminal device interfaces, especially for low-illumination or night environments, to minimize visual fatigue and improve user experience.

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<title>Two factors in visual fatigue caused by stereoscopic HDTV images</title>
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E-governments are considered the primary gateway through which citizens can access services and benefit from the information provided by electronic platforms when needed. Although the situation in developed countries has shifted from electronic governments to local electronic services, many developing countries still encounter various challenges, such as ease of use and enhancing user experience. This study aims to help address the obstacles faced by North African countries, including Morocco and Tunisia, in the context of e-government usability. It evaluates the accessibility of these sites, addresses the issues involved in using them, and suggests solutions that could enhance user experience by improving ease of use. The limited previous research on this region makes this study even more relevant. Research-based web design and usability guidelines (RBWDUG), specifically the chapter on optimizing user experience, serve as the foundation of this research, facilitating the assessment of ease of use and user satisfaction. Converting this valuable tool into a questionnaire enabled the research to achieve valuable results through evaluation. The evaluation of ten websites in each country, with 100 participants involved in the assessment, reveals a common pitfall when it in improving user experience and ease of use. This issue impacts user satisfaction and the effectiveness of e-government services. An important relationship has been established between these usability issues and the effectiveness and efficiency of these services. The study emphasizes the vital connection between usability and e-government service efficiency while recommending improvements based on user feedback.

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A museum can be a suitable context to experiment with a new interaction technique which guiding visitors and improving their experience for a successful learning environment also to enrich user experience. Mobile technology is used to enhance user experience in a cultural environment that offers more information than physically exposed technology. Therefore, the introduction of augmented reality (AR) that allow visitor to experience interaction in a way that increased knowledge, learning and give additional information with any artefact exhibitions they interact in the museum is applied in this project. The objectives of this research are to develop an interactive design in enhancing user experience in artefact display and evaluate user experience. ADDIE Model is applied as the methodology that consists of five phases which are analysis, design, development, implementation, and evaluation. Principles of Interactive Design is utilized in designing the mobile AR application and developed using Unity, Blender and Vuforia. User Experience evaluation method is conducted where findings shows that most respondents are satisfied, and usage of mobile AR has enhanced their experience through navigation during museum visit that also give a lot of new insight on historical artefact that being displayed.

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