Psychological predictors of SMR-BCI performance
Abstract
Background After about 30 years of research on Brain-Computer Interfaces (BCIs) there is little knowledge about the phenomenon, that some people - healthy as well as individuals with disease - are not able to learn BCI-control. To elucidate this "BCI-inefficiency" phenomenon, the current study investigated whether psychological parameters, such as attention span, personality or motivation, could predict performance in a single session with a BCI controlled by modulation of sensorimotor rhythms (SMR) with motor imagery.Methods A total of N=83 healthy BCI novices took part in the session. Psychological parameters were measured with an electronic test-battery including clinical, personality and performance tests. Predictors were determined by binary logistic regression analyses.Results The output variable of the Two-Hand Coordination Test (2HAND) "overall mean error duration" which is a measure for the accuracy of fine motor skills accounted for 11% of the variance in BCI-inefficiency. The Attitudes Towards Work (AHA) test variable "performance level" which can be interpreted as a degree of concentration and a neurophysiological SMR predictor were also identified as significant predictors of SMR BCI performance.Conclusion Psychological parameters as measured in this study play a moderate role for one-session performance in a BCI controlled by modulation of SMR.
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The impact of training with the BCI application might be related to a need for getting accustomed to the actual application demands but probably also to increased user motivation provided by the gaming application and the goal of participating in an international competition.
“This might be related to a need for getting accustomed to the actual application demands [47] but probably also to increased user motivation [68] provided both by the gaming application and the goal of participating in an international competition [8].”
From The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users (2018) · cites this paper as [68]
Various psychological factors, such as motivation, attention, and stress, have been implicated in these negative effects, which are quite frequent in MI BCI operation.
“Various psychological factors (such as motivation, attention, and stress) have been implicated in these negative effects [2,47,53,66–68], which unfortunately are quite frequent in MI BCI operation.”
From The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users (2018) · cites this paper as [68]
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- Authors
- Hammer, E. M., Halder, S., Blankertz, B., Sannelli, C., Dickhaus, T., Kleih, S., Müller, K.-R., & Kübler, A.
- Affiliations
- University of Würzburg (DE)
- University of Tübingen (DE)
- Technische Universität Berlin (DE)
- Humboldt-Universität zu Berlin (DE)
- Corresponding author
- Hammer, Eva Maria
- Kübler, Andrea
- ORCID
- Venue
- Biological Psychology
- Publisher
- Elsevier BV
- Published
- 2012-01
- Volume
- 89
- Issue
- 1
- Pages
- 80-86
- ISSN
- 0301-0511 (ISSN-L)
- OpenAlex
- W2065628965
- Cited by
- 267
- References
- 36
- Citations by year
- 2026: 7 · 2025: 10 · 2024: 15 · 2023: 11 · 2022: 16 · 2021: 31 · 2020: 26 · 2019: 17 · 2018: 23 · 2017: 15 · 2016: 23 · 2015: 31 · 2014: 18 · 2013: 17 · 2012: 6
- FWCI
- 6.82
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Biological Psychology (publishedVersion)
- PubMed (publishedVersion)
- Fraunhofer-Publica (Fraunhofer-Gesellschaft) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Life Sciences › Neuroscience › Cognitive Neuroscience › Free Will and Agency
- Keywords
- brain-computer interface, sensorimotor rhythm, motor imagery, attention span, personality, motivation, fine motor skills, attitudes towards work, concentration
- MeSH terms
- Adolescent, Adult, Aged, Algorithms, Analysis of Variance, Biofeedback, Psychology, Cognition, Electroencephalography, Female, Hand, Humans, Male, Man-Machine Systems, Middle Aged, Movement, Personality Inventory, Predictive Value of Tests, Psychological Tests, Psychomotor Performance, Surveys and Questionnaires, Regression Analysis, Somatosensory Cortex, Cortical Spreading Depression, User-Computer Interface, Statistics, Nonparametric, Imagery, Psychotherapy, Young Adult
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