Multivariate Discrimination of Emotion-Specific Autonomic Nervous System Activity

Simple item page
dc.contributor.authorChristie, Israel C.en
dc.contributor.committeechairFriedman, Bruce H.en
dc.contributor.committeememberCrawford, Helen J.en
dc.contributor.committeememberFranchina, Joseph J.en
dc.contributor.departmentPsychologyen
dc.date.accessioned2014-03-14T20:37:20Zen
dc.date.adate2002-06-13en
dc.date.available2014-03-14T20:37:20Zen
dc.date.issued2002-05-02en
dc.date.rdate2003-06-13en
dc.date.sdate2002-05-17en
dc.description.abstractThe present study investigated autonomic nervous system (ANS) patterning during experimentally manipulated emotion. Film clips previously shown to induce amusement, anger, contentment, disgust, fear, and sadness, in addition to a neutral control, were presented to 34 college-aged subjects while electrodermal activity, blood pressure and electrocardiogram (ECG) were recorded as was self-reported affect. Mean and mean successive difference of inter-beat interval were derived from the ECG. Pattern classification analysis revealed emotion-specific patterning for all emotion conditions except disgust. Discriminant function analysis was used to describe the location of discrete emotions within a dimensional affective state space, for both self-report and ANS activity. Findings suggest traditional dimensional emotion models accurately describe the state space for self-reported emotion, but may require modification in order to accurately describe the state space for ANS activity during discrete emotions. Proposed modifications are consistent with the adoption of a discrete-dimensional hybrid model as well as current trends in emotion theory.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-05172002-160205en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-05172002-160205/en
dc.identifier.urihttp://hdl.handle.net/10919/32903en
dc.publisherVirginia Techen
dc.relation.haspartThesis1.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectEmotionen
dc.subjectAutonomic Specificityen
dc.subjectMultivariate Pattern Classificationen
dc.titleMultivariate Discrimination of Emotion-Specific Autonomic Nervous System Activityen
dc.typeThesisen
thesis.degree.disciplinePsychologyen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Thesis1.pdf
Size:
243.55 KB
Format:
Adobe Portable Document Format
Download

Collections

Masters Theses