Literature DB >> 22506977

Control-display mapping in brain-computer interfaces.

Marieke E Thurlings1, Jan B F van Erp, Anne-Marie Brouwer, Benjamin Blankertz, Peter Werkhoven.   

Abstract

Event-related potential (ERP) based brain-computer interfaces (BCIs) employ differences in brain responses to attended and ignored stimuli. When using a tactile ERP-BCI for navigation, mapping is required between navigation directions on a visual display and unambiguously corresponding tactile stimuli (tactors) from a tactile control device: control-display mapping (CDM). We investigated the effect of congruent (both display and control horizontal or both vertical) and incongruent (vertical display, horizontal control) CDMs on task performance, the ERP and potential BCI performance. Ten participants attended to a target (determined via CDM), in a stream of sequentially vibrating tactors. We show that congruent CDM yields best task performance, enhanced the P300 and results in increased estimated BCI performance. This suggests a reduced availability of attentional resources when operating an ERP-BCI with incongruent CDM. Additionally, we found an enhanced N2 for incongruent CDM, which indicates a conflict between visual display and tactile control orientations. PRACTITIONER
SUMMARY: Incongruency in control-display mapping reduces task performance. In this study, brain responses, task and system performance are related to (in)congruent mapping of command options and the corresponding stimuli in a brain-computer interface (BCI). Directional congruency reduces task errors, increases available attentional resources, improves BCI performance and thus facilitates human-computer interaction.

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Mesh:

Year:  2012        PMID: 22506977     DOI: 10.1080/00140139.2012.661085

Source DB:  PubMed          Journal:  Ergonomics        ISSN: 0014-0139            Impact factor:   2.778


  8 in total

1.  Performance improvement of ERP-based brain-computer interface via varied geometric patterns.

Authors:  Zheng Ma; Tianshuang Qiu
Journal:  Med Biol Eng Comput       Date:  2017-06-28       Impact factor: 2.602

2.  EEG-based vibrotactile evoked brain-computer interfaces system: A systematic review.

Authors:  Xiuyu Huang; Shuang Liang; Zengguang Li; Cynthia Yuen Yi Lai; Kup-Sze Choi
Journal:  PLoS One       Date:  2022-06-03       Impact factor: 3.752

3.  Comparison of tactile, auditory, and visual modality for brain-computer interface use: a case study with a patient in the locked-in state.

Authors:  Tobias Kaufmann; Elisa M Holz; Andrea Kübler
Journal:  Front Neurosci       Date:  2013-07-24       Impact factor: 4.677

4.  Exploring Combinations of Different Color and Facial Expression Stimuli for Gaze-Independent BCIs.

Authors:  Long Chen; Jing Jin; Ian Daly; Yu Zhang; Xingyu Wang; Andrzej Cichocki
Journal:  Front Comput Neurosci       Date:  2016-01-29       Impact factor: 2.380

5.  Materials tactile logic via innervated soft thermochromic elastomers.

Authors:  Yang Jin; Yiliang Lin; Abolfazl Kiani; Ishan D Joshipura; Mingqiao Ge; Michael D Dickey
Journal:  Nat Commun       Date:  2019-09-13       Impact factor: 14.919

6.  Identifying potential training factors in a vibrotactile P300-BCI.

Authors:  M Eidel; A Kübler
Journal:  Sci Rep       Date:  2022-08-17       Impact factor: 4.996

7.  Toward brain-computer interface based wheelchair control utilizing tactually-evoked event-related potentials.

Authors:  Tobias Kaufmann; Andreas Herweg; Andrea Kübler
Journal:  J Neuroeng Rehabil       Date:  2014-01-16       Impact factor: 4.262

8.  Gaze-independent ERP-BCIs: augmenting performance through location-congruent bimodal stimuli.

Authors:  Marieke E Thurlings; Anne-Marie Brouwer; Jan B F Van Erp; Peter Werkhoven
Journal:  Front Syst Neurosci       Date:  2014-09-08
  8 in total

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