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dc.contributor.authorCullen, Emily
dc.date.accessioned2024-01-03T18:30:05Z
dc.date.available2024-01-03T18:30:05Z
dc.date.issued2023-12
dc.identifier.urihttp://hdl.handle.net/20.500.12648/13980
dc.description.abstractThe current study aims to integrate models of embodied and cognitive time perception by investigating the role of attention allocation, physiological arousal, and arm length on retrospective time estimations. We operationalize attention through an open monitoring meditation and physiological arousal through expansive and contractive yogic postures. Arm length was analyzed as a covariate. Participants (N=60) reported estimated time spent on a brief attention task after either listening to music or meditating and the adoption of an expansive or contractive yogic posture. We found that the expansive posture lengthened time estimations in comparison to the contractive posture, and that this effect was accentuated for individuals with longer arms. No significance was found for the effect of meditation on retrospective time estimations. Interactive effects of posture and arm length feed into embodied models of time perception, emphasizing the idea that our spatial relationship to the external world directly influences our internal perceptions.en_US
dc.language.isoen_USen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectResearch Subject Categories::SOCIAL SCIENCES::Social sciences::Psychologyen_US
dc.subjectTimeen_US
dc.subjectPerceptionen_US
dc.subjectYogaen_US
dc.subjectMindfulnessen_US
dc.titleTime perception embodied: the effect of yogic posture and meditation on retrospective time estimationsen_US
dc.typeMasters Thesisen_US
dc.description.versionNAen_US
refterms.dateFOA2024-01-03T18:30:09Z
dc.description.institutionSUNY College at New Paltzen_US
dc.description.departmentPsychologyen_US
dc.description.degreelevelMSen_US
dc.description.advisorKelty-Stephen, Damian
dc.description.advisorHirshorn, Elizabeth
dc.description.advisorMaynard, Douglas
dc.date.semesterFall 2023en_US
dc.accessibility.statementIf this SOAR repository item is not accessible to you (e.g. able to be used in the context of a disability), please email libraryaccessibility@newpaltz.eduen_US


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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International