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dc.contributor.authorTokuda, Satoru
dc.contributor.authorObinata, Goro
dc.contributor.authorPalmer, Evan M.
dc.contributor.authorChaparro, Alex
dc.date.accessioned2013-03-19T20:59:44Z
dc.date.available2013-03-19T20:59:44Z
dc.date.issued2012-09
dc.identifier.citationTokuda, Satoru; Obinata, Goro; Palmer, Evan M.; Chaparro, Alex. 2012. Frequency characteristics of eye movements during a cognitively demanding task. Psychophysiology, v.49 No.SI Suppl.1 p.S114en_US
dc.identifier.issn0048-5772
dc.identifier.otherWOS:000314272300614
dc.identifier.urihttp://dx.doi.org/10.1111/j.1469-8986.2012.01440.x
dc.identifier.urihttp://hdl.handle.net/10057/5563
dc.descriptionClick on the link to access the article (may not be free).en_US
dc.description.abstractThis study investigated the relation between cognitive load (CL) and eye movement frequency characteristics. Previously, eye gaze has been known to have more gaze deviation when the person is engaged in a cognitively demanding task. However, previous studies were diffi cult to generalize to other studies due to their original algorithm usage. The aim of this study is to present a generalizable method to quantify eye movements that are related to CL. CL was manipulated in 3 levels, Low, Medium, and High, using an auditory N-back task. Each participant performed a total of 12 one-minute trials. Eye movement data were recorded at 50 Hz, using Tobii 1750 eye tracker, in a time domain format, and then transformed into a frequency domain format using Fast Fourier Transformation (FFT). The frequency domain eye data were analyzed by the frequency window of 0.1 Hz. Each frequency window had 42 counts of eye movement data, representing 14 participants in 3 CL levels. The 42-count data were taken into a Spearman rank-order correlation analysis. We found a sequence of strong, positive correlation coeffi cients in a low frequency range of eye movements (0.3 Hz to 3.2 Hz), having an Rs average +0.63, ranging from Rs +0.51 to +0.82. By contrast, a higher frequency range (13.0 Hz to 25.0 Hz) had a lower correlation coeffi cient average +0.34. The result implies that a person’s CL level may be estimated by observing the low frequency range of eye movements. This index can be generalized to other studies since this CL indicator used only FFT without any original complex algorithm. (Poster 4-83)en_US
dc.language.isoen_USen_US
dc.publisherWiley-Blackwellen_US
dc.relation.ispartofseriesPsychophysiology;v.49 No.SI Suppl.1
dc.subjectCognitive loaden_US
dc.subjectMental workloaden_US
dc.subjectEye movementen_US
dc.titleFrequency characteristics of eye movements during a cognitively demanding tasken_US
dc.typeMeeting abstracten_US
dc.rights.holderCopyright © 2012 Society for Psychophysiological Researchen_us


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