A User Study of Visualization Effectiveness Using EEG and Cognitive Load

Handle URI:
http://hdl.handle.net/10754/597433
Title:
A User Study of Visualization Effectiveness Using EEG and Cognitive Load
Authors:
Anderson, E. W.; Potter, K. C.; Matzen, L. E.; Shepherd, J. F.; Preston, G. A.; Silva, C. T.
Abstract:
Effectively evaluating visualization techniques is a difficult task often assessed through feedback from user studies and expert evaluations. This work presents an alternative approach to visualization evaluation in which brain activity is passively recorded using electroencephalography (EEG). These measurements are used to compare different visualization techniques in terms of the burden they place on a viewer's cognitive resources. In this paper, EEG signals and response times are recorded while users interpret different representations of data distributions. This information is processed to provide insight into the cognitive load imposed on the viewer. This paper describes the design of the user study performed, the extraction of cognitive load measures from EEG data, and how those measures are used to quantitatively evaluate the effectiveness of visualizations. © 2011 The Author(s).
Citation:
Anderson EW, Potter KC, Matzen LE, Shepherd JF, Preston GA, et al. (2011) A User Study of Visualization Effectiveness Using EEG and Cognitive Load. Computer Graphics Forum 30: 791–800. Available: http://dx.doi.org/10.1111/j.1467-8659.2011.01928.x.
Publisher:
Wiley-Blackwell
Journal:
Computer Graphics Forum
KAUST Grant Number:
KUS-C1-016-04
Issue Date:
Jun-2011
DOI:
10.1111/j.1467-8659.2011.01928.x
Type:
Article
ISSN:
0167-7055
Sponsors:
The authors would like to thank the anonymous reviewers for their insightful comments. We also thank Dr. Laura McNamara for discussions on experimental design, and Dr. Joel Daniels II for his help and advice. This work was supported in part by grants from the National Science Foundation (IIS-0905385, CNS-0855167, IIS-0844546, ATM-0835821, CNS-0751152, OCE-0424602, CNS-0514485, IIS-0513692, CNS-0524096, CCF-0401498, OISE-0405402, CCF-0528201, CNS-0551724, CNS-0615194), Award No. KUS-C1-016-04, made by King Abdullah University of Science and Technology (KAUST), the Department of Energy, and IBM Faculty Awards.
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Full metadata record

DC FieldValue Language
dc.contributor.authorAnderson, E. W.en
dc.contributor.authorPotter, K. C.en
dc.contributor.authorMatzen, L. E.en
dc.contributor.authorShepherd, J. F.en
dc.contributor.authorPreston, G. A.en
dc.contributor.authorSilva, C. T.en
dc.date.accessioned2016-02-25T12:33:09Zen
dc.date.available2016-02-25T12:33:09Zen
dc.date.issued2011-06en
dc.identifier.citationAnderson EW, Potter KC, Matzen LE, Shepherd JF, Preston GA, et al. (2011) A User Study of Visualization Effectiveness Using EEG and Cognitive Load. Computer Graphics Forum 30: 791–800. Available: http://dx.doi.org/10.1111/j.1467-8659.2011.01928.x.en
dc.identifier.issn0167-7055en
dc.identifier.doi10.1111/j.1467-8659.2011.01928.xen
dc.identifier.urihttp://hdl.handle.net/10754/597433en
dc.description.abstractEffectively evaluating visualization techniques is a difficult task often assessed through feedback from user studies and expert evaluations. This work presents an alternative approach to visualization evaluation in which brain activity is passively recorded using electroencephalography (EEG). These measurements are used to compare different visualization techniques in terms of the burden they place on a viewer's cognitive resources. In this paper, EEG signals and response times are recorded while users interpret different representations of data distributions. This information is processed to provide insight into the cognitive load imposed on the viewer. This paper describes the design of the user study performed, the extraction of cognitive load measures from EEG data, and how those measures are used to quantitatively evaluate the effectiveness of visualizations. © 2011 The Author(s).en
dc.description.sponsorshipThe authors would like to thank the anonymous reviewers for their insightful comments. We also thank Dr. Laura McNamara for discussions on experimental design, and Dr. Joel Daniels II for his help and advice. This work was supported in part by grants from the National Science Foundation (IIS-0905385, CNS-0855167, IIS-0844546, ATM-0835821, CNS-0751152, OCE-0424602, CNS-0514485, IIS-0513692, CNS-0524096, CCF-0401498, OISE-0405402, CCF-0528201, CNS-0551724, CNS-0615194), Award No. KUS-C1-016-04, made by King Abdullah University of Science and Technology (KAUST), the Department of Energy, and IBM Faculty Awards.en
dc.publisherWiley-Blackwellen
dc.subjectCategories and Subject Descriptors (according to ACM CCS)en
dc.subjectGeneral-Human Factors, Evaluation, Electroencephalographyen
dc.subjectI.3.3 [Computer Graphics]en
dc.titleA User Study of Visualization Effectiveness Using EEG and Cognitive Loaden
dc.typeArticleen
dc.identifier.journalComputer Graphics Forumen
dc.contributor.institutionUniversity of Utah, Salt Lake City, United Statesen
dc.contributor.institutionSandia National Laboratories, , United Statesen
dc.contributor.institutionUtah State Hospital, Provo, United Statesen
kaust.grant.numberKUS-C1-016-04en
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