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: McNamara, Danielle
Description
Early adolescence is a pivotal stage of social and emotional development. Socialization traditionally occurs in person, but social interactions via technology (e.g., social media, video games) have grown in popularity. However, little research has been conducted on how early adolescents interact with technology and how these interactions relate to their socialization as well as other factors such as reading habits or academic achievement. Seventh and eighth grade students (n = 719) completed a survey that captured information about their technology use, their academic habits and performance, and extracurricular involvement. It was hypothesized that those involved in more extracurricular activities would use the internet more socially and that internet use would be negatively correlated to both academic performance and recreational reading. Responses indicated that a majority of students have access to technology (e.g. internet, computers, television, gaming consoles, and tablets) in their homes. Social media use differed drastically between platforms. Analyses indicated a relation between amount of extracurricular activities on social television watching and social internet use, but not on social gaming. A significant negative correlation was found between recreational reading and time spent socializing online, but there was no significant effect of these factors on academic performance. Thus, hypotheses were partially supported by the relation between amount of extracurriculars and social internet use and the negative correlation between time spent socializing online and recreational reading.
ContributorsHorner, Kate Elizabeth (Author) / McNamara, Danielle (Thesis director) / McCarthy, Kathryn (Committee member) / Davis, Mary (Committee member) / Division of Teacher Preparation (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