T Sollfrank1, A Ramsay2, S Perdikis3, J Williamson4, R Murray-Smith5, R Leeb6, J D R Millán7, A Kübler8. 1. Department of Psychology I, University of Würzburg, 97070 Würzburg, Germany. Electronic address: teresa.sollfrank@uni-wuerzburg.de. 2. Department of Computing Science, Glasgow University, Glasgow G12 8QQm, Scotland, United Kingdom. Electronic address: Andrew.Ramsay@glasgow.ac.uk. 3. École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland. Electronic address: serafeim.perdikis@epfl.ch. 4. Department of Computing Science, Glasgow University, Glasgow G12 8QQm, Scotland, United Kingdom. Electronic address: John.Williamson@glasgow.ac.uk. 5. Department of Computing Science, Glasgow University, Glasgow G12 8QQm, Scotland, United Kingdom. Electronic address: rod@dcs.gla.ac.uk. 6. École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland. Electronic address: robert.leeb@epfl.ch. 7. École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland. Electronic address: jose.millan@epfl.ch. 8. Department of Psychology I, University of Würzburg, 97070 Würzburg, Germany; Institute of Medical Psychology and Behavioural Neurobiology, University of Tübingen, 72074 Tübingen, Germany. Electronic address: andrea.kuebler@uni-wuerzburg.de.
Abstract
OBJECTIVE: This study investigated the effect of multimodal (visual and auditory) continuous feedback with information about the uncertainty of the input signal on motor imagery based BCI performance. A liquid floating through a visualization of a funnel (funnel feedback) provided enriched visual or enriched multimodal feedback. METHODS: In a between subject design 30 healthy SMR-BCI naive participants were provided with either conventional bar feedback (CB), or visual funnel feedback (UF), or multimodal (visual and auditory) funnel feedback (MF). Subjects were required to imagine left and right hand movement and were trained to control the SMR based BCI for five sessions on separate days. RESULTS: Feedback accuracy varied largely between participants. The MF feedback lead to a significantly better performance in session 1 as compared to the CB feedback and could significantly enhance motivation and minimize frustration in BCI use across the five training sessions. CONCLUSION: The present study demonstrates that the BCI funnel feedback allows participants to modulate sensorimotor EEG rhythms. Participants were able to control the BCI with the funnel feedback with better performance during the initial session and less frustration compared to the CB feedback. SIGNIFICANCE: The multimodal funnel feedback provides an alternative to the conventional cursorbar feedback for training subjects to modulate their sensorimotor rhythms.
OBJECTIVE: This study investigated the effect of multimodal (visual and auditory) continuous feedback with information about the uncertainty of the input signal on motor imagery based BCI performance. A liquid floating through a visualization of a funnel (funnel feedback) provided enriched visual or enriched multimodal feedback. METHODS: In a between subject design 30 healthy SMR-BCI naive participants were provided with either conventional bar feedback (CB), or visual funnel feedback (UF), or multimodal (visual and auditory) funnel feedback (MF). Subjects were required to imagine left and right hand movement and were trained to control the SMR based BCI for five sessions on separate days. RESULTS: Feedback accuracy varied largely between participants. The MF feedback lead to a significantly better performance in session 1 as compared to the CB feedback and could significantly enhance motivation and minimize frustration in BCI use across the five training sessions. CONCLUSION: The present study demonstrates that the BCI funnel feedback allows participants to modulate sensorimotor EEG rhythms. Participants were able to control the BCI with the funnel feedback with better performance during the initial session and less frustration compared to the CB feedback. SIGNIFICANCE: The multimodal funnel feedback provides an alternative to the conventional cursorbar feedback for training subjects to modulate their sensorimotor rhythms.
Authors: Hamzah Ziadeh; David Gulyas; Louise Dørr Nielsen; Steffen Lehmann; Thomas Bendix Nielsen; Thomas Kim Kroman Kjeldsen; Bastian Ilsø Hougaard; Mads Jochumsen; Hendrik Knoche Journal: Front Psychol Date: 2021-12-24
Authors: Dariusz Zapała; Piotr Francuz; Ewelina Zapała; Natalia Kopiś; Piotr Wierzgała; Paweł Augustynowicz; Andrzej Majkowski; Marcin Kołodziej Journal: Appl Psychophysiol Biofeedback Date: 2018-03