| Type of Document |
Master's Thesis |
| Author |
Christie, Israel C
|
| Author's Email Address |
ichristie@vt.edu |
| URN |
etd-05172002-160205 |
| Title |
Multivariate Discrimination of Emotion-Specific Autonomic Nervous System Activity |
| Degree |
Master of Science |
| Department |
Psychology |
| Advisory Committee |
| Advisor Name |
Title |
| Friedman, Bruce H. |
Committee Chair |
| Crawford, Helen J. |
Committee Member |
| Franchina, Joseph J. |
Committee Member |
|
| Keywords |
- Emotion
- Autonomic Specificity
- Multivariate Pattern Classification
|
| Date of Defense |
2002-05-02 |
| Availability |
unrestricted |
Abstract
The 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.
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| Files |
| Filename |
Size |
Approximate Download Time
(Hours:Minutes:Seconds)
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| 28.8 Modem |
56K Modem |
ISDN (64 Kb) |
ISDN (128 Kb) |
Higher-speed Access |
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Thesis1.pdf |
249.39 Kb |
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