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Leeuwis N, Paas A, Alimardani M. Vividness of Visual Imagery and Personality Impact Motor-Imagery Brain Computer Interfaces. Front Hum Neurosci. 2021;15:634748doi: 10.3389/fnhum.2021.634748.
Leeuwis, N., Paas, A., & Alimardani, M. (2021). Vividness of Visual Imagery and Personality Impact Motor-Imagery Brain Computer Interfaces. Frontiers in human neuroscience, 15634748. https://doi.org/10.3389/fnhum.2021.634748
Leeuwis, Nikki, et al. "Vividness of Visual Imagery and Personality Impact Motor-Imagery Brain Computer Interfaces." Frontiers in human neuroscience vol. 15 (2021): 634748. doi: https://doi.org/10.3389/fnhum.2021.634748
Leeuwis N, Paas A, Alimardani M. Vividness of Visual Imagery and Personality Impact Motor-Imagery Brain Computer Interfaces. Front Hum Neurosci. 2021 Apr 06;15:634748. doi: 10.3389/fnhum.2021.634748. eCollection 2021. PMID: 33889080; PMCID: PMC8055841.
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Front Hum Neurosci. 2021 Apr 06;15:634748. doi: 10.3389/fnhum.2021.634748. eCollection 2021.

Vividness of Visual Imagery and Personality Impact Motor-Imagery Brain Computer Interfaces.

Frontiers in human neuroscience

Nikki Leeuwis, Alissa Paas, Maryam Alimardani

Affiliations

  1. Department of Cognitive Science and Artificial Intelligence, Tilburg University, Tilburg, Netherlands.

PMID: 33889080 PMCID: PMC8055841 DOI: 10.3389/fnhum.2021.634748

Abstract

Brain-computer interfaces (BCIs) are communication bridges between a human brain and external world, enabling humans to interact with their environment without muscle intervention. Their functionality, therefore, depends on both the BCI system and the cognitive capacities of the user. Motor-imagery BCIs (MI-BCI) rely on the users' mental imagination of body movements. However, not all users have the ability to sufficiently modulate their brain activity for control of a MI-BCI; a problem known as BCI illiteracy or inefficiency. The underlying mechanism of this phenomenon and the cause of such difference among users is yet not fully understood. In this study, we investigated the impact of several cognitive and psychological measures on MI-BCI performance. Fifty-five novice BCI-users participated in a left- versus right-hand motor imagery task. In addition to their BCI classification error rate and demographics, psychological measures including personality factors, affinity for technology, and motivation during the experiment, as well as cognitive measures including visuospatial memory and spatial ability and Vividness of Visual Imagery were collected. Factors that were found to have a significant impact on MI-BCI performance were Vividness of Visual Imagery, and the personality factors of orderliness and autonomy. These findings shed light on individual traits that lead to difficulty in BCI operation and hence can help with early prediction of inefficiency among users to optimize training for them.

Copyright © 2021 Leeuwis, Paas and Alimardani.

Keywords: BCI illiteracy; BCI performance; brain-computer interface; cognitive abilities; motor imagery; personality traits; visuospatial memory and spatial ability; vividness of visual imagery questionnaire

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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