Theses and Dissertations
This collection includes both ASU Theses and Dissertations, submitted by graduate students, and the Barrett, Honors College theses submitted by undergraduate students.
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- Creators: Kwok, Connie
- Creators: Murwin, Paige Elizabeth
Description
Emotions have been defined as coordinated and functional changes in subjective experience, motivation, physiological activation, instrumental behavior, expressive behavior, and cognition that are evoked by important threats or opportunities in the environment. The proposed study looks at cognitive changes associated with the experience of several positive emotions, with a specific focus on awe. Prior research shows that positive emotions tend to increase people's use of cognitive heuristics (i.e. mental shortcuts used to simplify information we intake from the environment) and changes how they apply rules of thumb from stored knowledge to make decisions. Stereotypes, or assumptions about the characteristics held by individual members of a group, are one such heuristic. Awe, in contrast to other positive emotions, has been found to reduce people's tendency to rely on heuristics, rather than increasing its use. Thus, awe should tend to reduce stereotyping specifically. Participants made judgments on three characteristics and two types of theoretically valuable true/false statements. However, for both our measures, awe had no significant effect on stereotyping. Participants in the enthusiasm condition were significantly more likely than those in the awe condition to correctly identify stereotype-inconsistent statements present in the biography, which is the opposite of the predicted direction. Patterns for all four emotion conditions trended similarly to our predictions for stereotype-consistent statements correctly marked as being absent in the biography. There were no significant differences in ratings of three traits. Implications for enthusiasm and awe are discussed in the context of stereotypes of social objects and schemas of nonsocial objects.
ContributorsMurwin, Paige Elizabeth (Co-author) / O'Neil, Makenzie (Co-author) / Shiota, Michelle (Thesis director) / Davis, Mary (Committee member) / Sanford School of Social and Family Dynamics (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
Description
Hand-coding systems of measuring facial expressions were developed to study and analyze human emotions, but they are time-intensive and thus seldom used. As technology has advanced, new computer software programs, such as Affectiva, were developed to code facial expressions automatically using artificial intelligence and machine learning. Since this technology is still new, Affectiva and its validity remain understudied, and no psychological research has been conducted to compare Affectiva computer coding and hand coding of children’s emotions. The purpose of this study was to compare hand and computer coding of children’s expressions of emotion during a videotaped parent-child interaction. The study answered the following questions: 1) Do hand and computer coding agree?; and 2) Are hand and computer coding in higher agreement for some emotions than others? The sample included 25 pairs of twins from the Arizona Twin Project. Facial expressions were coded from videotape by a trained and reliable human coder and using the software Affectiva. The results showed that hand and computer coded emotion were in agreement for positive, but not negative emotions. Changing the context of the interaction to elicit more negative emotion, and using the same indicators of each emotion in computer and hand coding are suggested to improve the comparison of computer and hand coding.
ContributorsKwok, Connie (Author) / Lemery-Chalfant, Kathryn (Thesis director) / Davis, Mary (Committee member) / Miadich, Samantha (Committee member) / Department of Psychology (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05