Matching Items (6)
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- All Subjects: emotion
- Creators: Arts, Media and Engineering Sch T
- Creators: Roberts, Nicole A.
- Member of: Theses and Dissertations
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
- Resource Type: Text
Description
Separation from a loved one is a highly stressful event. The range and intensity of emotions accompanying such a separation arguably are amplified when one's spouse deploys. This thesis examines at-home spouses (AHSs) of deployed military and how emotion, marital satisfaction, and communication are impacted throughout the deployment cycle. Additionally, I explore technology as a possible coping mechanism to help AHSs adapt and overcome stressfulness of deployment. One hundred sixty-six married females with a partner currently deployed, anticipating deployment, or recently returned from deployment completed an on-line survey. It was predicted AHSs would experience specific emotions during each phase, categorized as "anticipatory," (e.g., anger, worry) "absence" (e.g., lonely, sad) or "post" (e.g., happiness, relief); marital satisfaction also was predicted to be higher among spouses whose partner recently returned from deployment versus was deployed or anticipating deployment. Data showed AHSs whose partner was anticipating or currently deployed reported more "anticipatory" and "absence" emotions than AHSs with a recently returned partner. The former two groups did not differ in these emotions. AHSs with a recently returned partner reported more "post" emotions than the other two groups. Marital satisfaction did not differ based on deployment status. It was also predicted that among AHSs with a currently deployed partner, less negative emotion upon deployment would be associated with more frequent communication during deployment. Data showed AHSs who reported less negative emotion upon deployment engaged in more frequent communication with their deployed partner. Lastly, I predicted AHSs whose partners are currently deployed and who prefer modes of communication allowing direct contact (e.g., Skype) will experience less negative emotions than AHSs who prefer indirect contact (e.g., e-mail). Data showed reports of negative emotion did not differ based on preference for direct versus indirect communication. Therefore, negative emotions may develop and persist before and during deployment, but when the partner returns home, spouses do experience a rebound of positive emotions. Additionally, emotions at the time of deployment may be useful in predicting spouses' communication frequency during deployment. Findings aim to provide knowledge of family life during separation and explore technology as a possible coping mechanism for AHSs.
ContributorsPowell, Katrina D (Author) / Roberts, Nicole A. (Thesis advisor) / Burleson, Mary H. (Committee member) / Hall, Deborah (Committee member) / Arizona State University (Publisher)
Created2011
Description
Physical activity is something that everyone engages in at varying levels. It has been linked to positively impacting general wellbeing, as well as preparing the mind and body to learn new skills. However, the significance of physical activity remains under-explored in some areas. The purpose of this study was to determine the relationship between physical activity levels and emotional intelligence, navigation and planning skills, motor skills, memory capacity, and one’s perception of the ‘value’ of an object or an experience. During sessions, participants were equipped with two physiological sensors: the EEG B-Alert X10 or X24 headset, and the Shimmer GSR3. In addition to these, two external sensors were used: a web camera for recording and evaluating facial expressions, and the Tobii X2-30, X2-60, or Tobii T60XL eye tracking systems, used to monitor visual attention. These sensors were used to collect data while participants completed a series of tasks: the Self-Report of Emotional Intelligence Test, the Tower of London Test, the Motor Speed Test, the Working Memory Capacity Battery, watching product-centered videos, and watching experience-centered videos. Multiple surveys were also conducted, including a demographic survey, a nutritional and health survey, and a sports preference survey. Utilizing these metrics, this study found that those who exercise more experience and express higher levels of emotion, including joy, sadness, contempt, disgust, confusion, frustration, surprise, anger, and fear. This implies a difference in emotional response modulation between those who exercise more and those who exercise less, which in turn implies a difference in perception between the two groups. There were no significant findings related to navigation and planning skills, motor skills, or memory capacity from this analysis.
ContributorsFalls, Tarryn (Author) / Atkinson, Robert (Thesis director) / Chavez-Echeagaray, Maria Elena (Committee member) / Arts, Media and Engineering Sch T (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Affective video games are still a relatively new field of research and entertainment. Even
so, being a form of entertainment media, emotion plays a large role in video games as a whole.
This project seeks to gain an understanding of what emotions are most prominent during game
play. From there, a system will be created wherein the game will record the player’s facial
expressions and interpret those expressions as emotions, allowing the game to adjust its difficulty
to create a more tailored experience.
The first portion of this project, understanding the relationship between emotions and
games, was done by recording myself as I played three different games of different genres for
thirty minutes each. The same system that would be used in the later game I created to evaluate
emotions was used to evaluate these recordings.
After the data was interpreted, I created three different versions of the same game, based
on a template created by Stan’s Assets, which was a version of the arcade game Stacker. The
three versions of the game included one where no changes were made to the gameplay
experience, it simply recorded the player’s face and extrapolated emotions from that recording,
one where the speed increased in an attempt to maintain a certain level of positive emotions, and
a third where, in addition to increasing the speed of the game, it also decreased the speed in an
attempt to minimize negative emotions.
These tests, together, show that the emotional experience of a player is heavily dependent
on how tailored the game is towards that particular emotion. Additionally, in creating a system
meant to interact with these emotions, it is easier to create a one-dimensional system that focuses
on one emotion (or range of emotions) as opposed to a more complex system, as the system
begins to become unstable, and can lead to undesirable gameplay effects.
ContributorsFotias, Demos James (Author) / Selgrad, Justin (Thesis director) / Lahey, Byron (Committee member) / Arts, Media and Engineering Sch T (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
Intimate relationship functioning and mental well-being are inherently linked; thus, for those with mental illness, such as social anxiety, intimate relationship functioning may be impaired. Research on the intimate relationships of those with social anxiety has often focused on emotion regulation, as emotions play a crucial role in the development and maintenance of interpersonal relationships and are a clear area of deficit among those with social anxiety. The current thesis had three primary aims: 1a) to examine individual emotion expressivity and 1b) interpersonal emotion regulation processes among individuals with varying levels of social anxiety; 2) to examine individual and interpersonal emotion regulation within romantic relationships; and, 3) to examine how individual emotion expressivity and interpersonal emotion regulation influence relationship health and intimacy among those with varying levels of social anxiety. For Aim 1, differences in individual emotion expressivity and interpersonal emotion regulation were analyzed using regression analyses with social anxiety as a continuous predictor. Analyses were also conducted using a dichotomous grouping (i.e., non-socially anxious and socially anxious) and conducting a multivariate analysis of covariance (MANCOVA).
For Aim 2, the impact of individual and interpersonal emotion regulation processes on relationship health was examined using a series of regression analyses. Finally, Aim 3 was tested using structural equation modeling (SEM). Results suggest those with social anxiety show specific, but not general, deficits in individual emotion expressivity and interpersonal emotion regulation, and both individual and interpersonal emotion regulation had positive effects on relationship health. Regarding the primary analyses, interpersonal emotion regulation fully mediated the association between individual emotion expressivity and relationship health. Further, although the strength of these paths varied between groups, the valence and general pattern of these findings were similar for both those with social anxiety and those without. The study provided novel insights into the role of interpersonal emotion regulation in relationship health, and extended previous findings on emotion regulation and relationship health among those with social anxiety.
For Aim 2, the impact of individual and interpersonal emotion regulation processes on relationship health was examined using a series of regression analyses. Finally, Aim 3 was tested using structural equation modeling (SEM). Results suggest those with social anxiety show specific, but not general, deficits in individual emotion expressivity and interpersonal emotion regulation, and both individual and interpersonal emotion regulation had positive effects on relationship health. Regarding the primary analyses, interpersonal emotion regulation fully mediated the association between individual emotion expressivity and relationship health. Further, although the strength of these paths varied between groups, the valence and general pattern of these findings were similar for both those with social anxiety and those without. The study provided novel insights into the role of interpersonal emotion regulation in relationship health, and extended previous findings on emotion regulation and relationship health among those with social anxiety.
ContributorsSchodt, Kaitlyn Beatrice (Author) / Mickelson, Kristin D (Thesis advisor) / Burleson, Mary H (Committee member) / Roberts, Nicole A. (Committee member) / Arizona State University (Publisher)
Created2019
Description
Although Spotify’s extensive library of songs are often seen broken up by “Top 100” and main lyrical genres, these categories are primarily based on popularity, artist and general mood alone. If a user wanted to create a playlist based on specific or situationally specific qualifiers from their own downloaded library, he/she would have to hand pick songs that fit the mold and create a new playlist. This is a time consuming process that may not produce the most efficient result due to human error. The objective of this project, therefore, was to develop an application to streamline this process, optimize efficiency, and fill this user need.
Song Sift is an application built using Angular that allows users to filter and sort their song library to create specific playlists using the Spotify Web API. Utilizing the audio feature data that Spotify attaches to every song in their library, users can filter their downloaded Spotify songs based on four main attributes: (1) energy (how energetic a song sounds), (2) danceability (how danceable a song is), (3) valence (how happy a song sounds), and (4) loudness (average volume of a song). Once the user has created a playlist that fits their desired genre, he/she can easily export it to their Spotify account with the click of a button.
Song Sift is an application built using Angular that allows users to filter and sort their song library to create specific playlists using the Spotify Web API. Utilizing the audio feature data that Spotify attaches to every song in their library, users can filter their downloaded Spotify songs based on four main attributes: (1) energy (how energetic a song sounds), (2) danceability (how danceable a song is), (3) valence (how happy a song sounds), and (4) loudness (average volume of a song). Once the user has created a playlist that fits their desired genre, he/she can easily export it to their Spotify account with the click of a button.
ContributorsDiMuro, Louis (Author) / Balasooriya, Janaka (Thesis director) / Chen, Yinong (Committee member) / Arts, Media and Engineering Sch T (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
ContributorsHaagen, Jordan (Author) / Turaga, Pavan (Thesis director) / Drummond Otten, Caitlin (Committee member) / Barrett, The Honors College (Contributor) / Arts, Media and Engineering Sch T (Contributor)
Created2022-05