Literature DB >> 22506483

Mental workload during brain-computer interface training.

Elizabeth A Felton1, Justin C Williams, Gregg C Vanderheiden, Robert G Radwin.   

Abstract

It is not well understood how people perceive the difficulty of performing brain-computer interface (BCI) tasks, which specific aspects of mental workload contribute the most, and whether there is a difference in perceived workload between participants who are able-bodied and disabled. This study evaluated mental workload using the NASA Task Load Index (TLX), a multi-dimensional rating procedure with six subscales: Mental Demands, Physical Demands, Temporal Demands, Performance, Effort, and Frustration. Able-bodied and motor disabled participants completed the survey after performing EEG-based BCI Fitts' law target acquisition and phrase spelling tasks. The NASA-TLX scores were similar for able-bodied and disabled participants. For example, overall workload scores (range 0-100) for 1D horizontal tasks were 48.5 (SD = 17.7) and 46.6 (SD 10.3), respectively. The TLX can be used to inform the design of BCIs that will have greater usability by evaluating subjective workload between BCI tasks, participant groups, and control modalities. PRACTITIONER
SUMMARY: Mental workload of brain-computer interfaces (BCI) can be evaluated with the NASA Task Load Index (TLX). The TLX is an effective tool for comparing subjective workload between BCI tasks, participant groups (able-bodied and disabled), and control modalities. The data can inform the design of BCIs that will have greater usability.

Entities:  

Mesh:

Year:  2012        PMID: 22506483      PMCID: PMC3344383          DOI: 10.1080/00140139.2012.662526

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


  17 in total

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8.  Evaluation of a modified Fitts law brain-computer interface target acquisition task in able and motor disabled individuals.

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9.  Multimodal feedback: an assessment of performance and mental workload.

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Review 2.  Human Mental Workload: A Survey and a Novel Inclusive Definition.

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4.  The Promise of Neurotechnology in Clinical Translational Science.

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6.  Using brain-computer interfaces: a scoping review of studies employing social research methods.

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7.  Changes in functional brain organization and behavioral correlations after rehabilitative therapy using a brain-computer interface.

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8.  Case report: post-stroke interventional BCI rehabilitation in an individual with preexisting sensorineural disability.

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