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Advances in computational processing have made big data analysis in fields like music information retrieval (MIR) possible. Through MIR techniques researchers have been able to study information on a song, its musical parameters, the metadata generated by the song's listeners, and contextual data regarding the artists and listeners (Schedl, 2014).

Advances in computational processing have made big data analysis in fields like music information retrieval (MIR) possible. Through MIR techniques researchers have been able to study information on a song, its musical parameters, the metadata generated by the song's listeners, and contextual data regarding the artists and listeners (Schedl, 2014). MIR research techniques have been applied within the field of music and emotions research to help analyze the correlative properties between the music information and the emotional output. By pairing methods within music and emotions research with the analysis of the musical features extracted through MIR, researchers have developed predictive models for emotions within a musical piece. This research has increased our understanding of the correlative properties of certain musical features like pitch, timbre, rhythm, dynamics, mel frequency cepstral coefficients (MFCC's), and others, to the emotions evoked by music (Lartillot 2008; Schedl 2014) This understanding of the correlative properties has enabled researchers to generate predictive models of emotion within music based on listeners' emotional response to it. However, robust models that account for a user's individualized emotional experience and the semantic nuances of emotional categorization have eluded the research community (London, 2001). To address these two main issues, more advanced analytical methods have been employed. In this article we will look at two of these more advanced analytical methods, machine learning algorithms and deep learning techniques, and discuss the effect that they have had on music and emotions research (Murthy, 2018). Current trends within MIR research, the application of support vector machines and neural networks, will also be assessed to explain how these methods help to address the two main issues within music and emotion research. Finally, future research within the field of machine and deep learning will be postulated to show how individuate models may be developed from a user or a pool of user's listening libraries. Also how developments of semi-supervised classification models that assess categorization by cluster instead of by nominal data, may be helpful in addressing the nuances of emotional categorization.
ContributorsMcgeehon, Timothy Makoto (Author) / Middleton, James (Thesis director) / Knowles, Kristina (Committee member) / Mechanical and Aerospace Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12
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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

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
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Description
Currently conventional Subtitle D landfills are the primary means of disposing of our waste in the United States. While this method of waste disposal aims at protecting the environment, it does so through the use of liners and caps that effectively freeze the breakdown of waste. Because this method can

Currently conventional Subtitle D landfills are the primary means of disposing of our waste in the United States. While this method of waste disposal aims at protecting the environment, it does so through the use of liners and caps that effectively freeze the breakdown of waste. Because this method can keep landfills active, and thus a potential groundwater threat for over a hundred years, I take an in depth look at the ability of bioreactor landfills to quickly stabilize waste. In the thesis I detail the current state of bioreactor landfill technologies, assessing the pros and cons of anaerobic and aerobic bioreactor technologies. Finally, with an industrial perspective, I conclude that moving on to bioreactor landfills as an alternative isn't as simple as it may first appear, and that it is a contextually specific solution that must be further refined before replacing current landfills.
ContributorsWhitten, George Avery (Author) / Kavazanjian, Edward (Thesis director) / Allenby, Braden (Committee member) / Houston, Sandra (Committee member) / Civil, Environmental and Sustainable Engineering Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2013-05
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People have known about mass biodiversity loss and the human actions that drive it for decades now, and yet we have largely failed levels to change our behavior to protect the environment. What’s failing to motivate people to change? Some conservation psychologists have partially blamed the negative way we communicate

People have known about mass biodiversity loss and the human actions that drive it for decades now, and yet we have largely failed levels to change our behavior to protect the environment. What’s failing to motivate people to change? Some conservation psychologists have partially blamed the negative way we communicate about environmental issues for paralyzing audiences into doing nothing because they feel helpless to change such a big problem. Instead, many psychologists have called for using positive emotions in communication to motivate an audience, but there’s still little research showing whether that’s a more effective approach or not. To study whether positive or negative emotions are really more motivational for inspiring change, I looked at how different emotions were used in the discourse about an emerging conservation technology called de-extinction as a case study. De-extinction claims to be both a tool for fighting biodiversity loss and for inspiring more positive and inspiring narratives in conservation. In this thesis, I examine those claims by exploring five emotions that the discourse around de-extinction elicits: fear, guilt, grief, awe and hope. I examined the motivating power of those emotions and what kind of actions de-extinction discourse motivates or fails to motivate through the way it uses those emotions. I found that de-extinction discourse erases negative emotions and boosts positive ones as many conservation psychologists recommend. However, de-extinction discourse accomplishes this in misleading ways: it minimizes the sense of importance of ongoing extinctions by framing extinction as a reversible phenomenon, and it overstates the ability of technology alone to combat the extinction crisis without requiring societal change. As a result, de-extinction discourse could risk making the public less motivated to take personal action to forward conservation goals. I conclude that positivity or negativity should not be the central concerns for motivating action, but rather efficacy and honesty.

ContributorsSchnebly, Risa (Author) / Minteer, Ben (Thesis director) / Lynch, John (Committee member) / Rojas, Christopher (Committee member) / School of Life Sciences (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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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

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
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Description
Environmentally harmful byproducts from solid waste’s decomposition, including methane (CH4) emissions, are managed through standardized landfill engineering and gas-capture mechanisms. Yet only a limited number of studies have analyzed the development and composition of Bacteria and Archaea involved in CH4 production from landfills. The objectives of this research were to

Environmentally harmful byproducts from solid waste’s decomposition, including methane (CH4) emissions, are managed through standardized landfill engineering and gas-capture mechanisms. Yet only a limited number of studies have analyzed the development and composition of Bacteria and Archaea involved in CH4 production from landfills. The objectives of this research were to compare microbiomes and bioactivity from CH4-producing communities in contrasting spatial areas of arid landfills and to tests a new technology to biostimulate CH4 production (methanogenesis) from solid waste under dynamic environmental conditions controlled in the laboratory. My hypothesis was that the diversity and abundance of methanogenic Archaea in municipal solid waste (MSW), or its leachate, play an important role on CH4 production partially attributed to the group’s wide hydrogen (H2) consumption capabilities. I tested this hypothesis by conducting complementary field observations and laboratory experiments. I describe niches of methanogenic Archaea in MSW leachate across defined areas within a single landfill, while demonstrating functional H2-dependent activity. To alleviate limited H2 bioavailability encountered in-situ, I present biostimulant feasibility and proof-of-concepts studies through the amendment of zero valent metals (ZVMs). My results demonstrate that older-aged MSW was minimally biostimulated for greater CH4 production relative to a control when exposed to iron (Fe0) or manganese (Mn0), due to highly discernable traits of soluble carbon, nitrogen, and unidentified fluorophores found in water extracts between young and old aged, starting MSW. Acetate and inhibitory H2 partial pressures accumulated in microcosms containing old-aged MSW. In a final experiment, repeated amendments of ZVMs to MSW in a 600 day mesocosm experiment mediated significantly higher CH4 concentrations and yields during the first of three ZVM injections. Fe0 and Mn0 experimental treatments at mesocosm-scale also highlighted accelerated development of seemingly important, but elusive Archaea including Methanobacteriaceae, a methane-producing family that is found in diverse environments. Also, prokaryotic classes including Candidatus Bathyarchaeota, an uncultured group commonly found in carbon-rich ecosystems, and Clostridia; All three taxa I identified as highly predictive in the time-dependent progression of MSW decomposition. Altogether, my experiments demonstrate the importance of H2 bioavailability on CH4 production and the consistent development of Methanobacteriaceae in productive MSW microbiomes.
ContributorsReynolds, Mark Christian (Author) / Cadillo-Quiroz, Hinsby (Thesis advisor) / Krajmalnik-Brown, Rosa (Thesis advisor) / Wang, Xuan (Committee member) / Kavazanjian, Edward (Committee member) / Arizona State University (Publisher)
Created2022
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Zero-Valent Metals (ZVM) are highly reactive materials and have been proved to be effective in contaminant reduction in soils and groundwater remediation. In fact, zero-Valent Iron (ZVI) has proven to be very effective in removing, particularly chlorinated organics, heavy metals, and odorous sulfides. Addition of ZVI has also been proved

Zero-Valent Metals (ZVM) are highly reactive materials and have been proved to be effective in contaminant reduction in soils and groundwater remediation. In fact, zero-Valent Iron (ZVI) has proven to be very effective in removing, particularly chlorinated organics, heavy metals, and odorous sulfides. Addition of ZVI has also been proved in enhancing the methane gas generation in anaerobic digestion of activated sludge. However, no studies have been conducted regarding the effect of ZVM stimulation to Municipal Solid Waste (MSW) degradation. Therefore, a collaborative study was developed to manipulate microbial activity in the landfill bioreactors to favor methane production by adding ZVMs. This study focuses on evaluating the effects of added ZVM on the leachate generated from replicated lab scale landfill bioreactors. The specific objective was to investigate the effects of ZVMs addition on the organic and inorganic pollutants in leachate. The hypothesis here evaluated was that adding ZVM including ZVI and Zero Valent Manganese (ZVMn) will enhance the removal rates of the organic pollutants present in the leachate, likely by a putative higher rate of microbial metabolism. Test with six (4.23 gallons) bioreactors assembled with MSW collected from the Salt River Landfill and Southwest Regional Landfill showed that under 5 grams /liter of ZVI and 0.625 grams/liter of ZVMn additions, no significant difference was observed in the pH and temperature data of the leachate generated from these reactors. The conductivity data suggested the steady rise across all reactors over the period of time. The removal efficiency of sCOD was highest (27.112 mg/lit/day) for the reactors added with ZVMn at the end of 150 days for bottom layer, however the removal rate was highest (16.955 mg/lit/day) for ZVI after the end of 150 days of the middle layer. Similar trends in the results was observed in TC analysis. HPLC study indicated the dominance of the concentration of heptanoate and isovalerate were leachate generated from the bottom layer across all reactors. Heptanoate continued to dominate in the ZVMn added leachate even after middle layer injection. IC analysis concluded the chloride was dominant in the leachate generated from all the reactors and there was a steady increase in the chloride content over the period of time. Along with chloride, fluoride, bromide, nitrate, nitrite, phosphate and sulfate were also detected in considerable concentrations. In the summary, the addition of the zero valent metals has proved to be efficient in removal of the organics present in the leachate.
ContributorsPandit, Gandhar Abhay (Author) / Cadillo – Quiroz, Hinsby (Thesis advisor) / Olson, Larry (Thesis advisor) / Boyer, Treavor (Committee member) / Arizona State University (Publisher)
Created2019
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Internal and external emotion recognition is universal knowledge individuals begin to understand in early childhood. Children diagnosed with Autism Spectrum Disorder (ASD) have physiological impairments that affect their social functioning, behavior, and emotion regulation. They often have difficulty revealing true emotions as opposed to mimicked emotions, which can make social

Internal and external emotion recognition is universal knowledge individuals begin to understand in early childhood. Children diagnosed with Autism Spectrum Disorder (ASD) have physiological impairments that affect their social functioning, behavior, and emotion regulation. They often have difficulty revealing true emotions as opposed to mimicked emotions, which can make social connections challenging. In this pilot study, children with high-functioning and low-functioning ASD were observed in their therapy clinic, KidzSPOT Therapy, while watching a four-minute Pixar™ video as pre and post measures. The children were their own control from pre to post-evaluation. The animated characters and situations shown in the Pixar™ videos throughout the study exhibited two specific emotions: happy and sad. For six-weeks at home, children and their caregivers were asked to watch two, four-minute PixarTM videos a week on non-consecutive days and were recorded with cellular devices. Noldus FaceReader™ was used to analyze and determine increased emotional arousal of the children from recordings sent by their caregivers as they watched the videos at home. The Circumplex Model of Affect from the Noldus FaceReader™ analysis exposed the children’s active and inactive responses. The children sought support from their caregivers and therapists as a form of validation and situational understanding. The data did not display evidence of significant correlation between variables and emotional change over the course of the study. There were many limitations to this pilot study resulting in inadequate conclusions for a whole subpopulation. These findings were limited to sample size, participant interest and age-range availability within the clinic.
ContributorsGonzalez, Alereese (Author) / Chisum, Jack (Thesis director) / Brown, Glenn (Committee member) / College of Health Solutions (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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This project analyzes the use of fear appeals in transmitting a moral of self-realization in the drama Oedipus Rex and its adaptations into painting and film. It draws upon earlier work in media ecology, adaptation, and studies of emotions in media. It proposes that what distinguishes media from one another

This project analyzes the use of fear appeals in transmitting a moral of self-realization in the drama Oedipus Rex and its adaptations into painting and film. It draws upon earlier work in media ecology, adaptation, and studies of emotions in media. It proposes that what distinguishes media from one another is the unique way that each medium stimulates the reader to draw from their own experiences with life and literature. Alternatively, what unites media is the cross platform assimilation of author and reader reality. More specifically, it asserts that print stimulates the reader via immersion, that painting achieves this same effect by acting as a proxy for the reader to embody the image before them, and that film stimulates the viewer as a result of emotive focus. Collectively, it concludes that when it comes to Oedipus and its many forms, the plays utilize fear to communicate the moral through both surface and dense texts, while painting adaptations focus on dense texts, and the filmic adaptations emphasize their surface equivalent. The project’s significance rests in its challenge to Marshal McLuhan’s technological determinism. On exposing the effects that a reader’s varied mindset can have on a medium’s ability to communicate its message, the project highlights that the relationship between humankind and media is not so deterministic and is more complex than McLuhan would have us believe.
ContributorsHerrera, Yoslin (Author) / Mack, Robert (Thesis director) / O'Neill, Joseph (Committee member) / Mechanical and Aerospace Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
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Piloerection (known as goosebumps) is mediated by activation of alpha-adrenergic receptors within the sympathetic branch of the autonomic nervous system. The study of piloerection is important in multiple fields, from emotion studies to nervous system pathology. This makes piloerection particularly relevant to emotions research. Despite wide-ranging applications, current methods for

Piloerection (known as goosebumps) is mediated by activation of alpha-adrenergic receptors within the sympathetic branch of the autonomic nervous system. The study of piloerection is important in multiple fields, from emotion studies to nervous system pathology. This makes piloerection particularly relevant to emotions research. Despite wide-ranging applications, current methods for measuring piloerection are laborious and qualitative. The goal of this study is to build a wearable piloerection sensor through the use of straight-line lasers and photoresistors. The study analyzed methods of detecting and measuring goosebumps, and applied the method of laser scattering as a detection method. This device was designed and tested against a population of seven Arizona State University students. Goosebumps were elicited through conditions of cold, and video clips meant to elicit emotions of awe and sadness. Piloerection was then quantified through two controls of self-identification and camera recording, as well as the new detection method. These were then compared together, and it was found that subjective methods of determining goosebumps did not correlate well with objective measurements, but that the two objective measurements correlated well with one another. This shows that the technique of laser scattering can be used to detect goosebumps and further developments on this new detection method will be made. Moreover, the presence of uncorrelated subjective measurements further shows the need for an objective measurement of piloerection, while also bringing into question other factors that may be confused with the feeling of piloerection, such as chills or shivers. This study further reaffirmed previous studies showing a positive correlation between intense emotions.
ContributorsHemesath, Angela (Author) / Muthuswamy, Jitendran (Thesis director) / Shiota, Michelle (Lani) (Committee member) / Harrington Bioengineering Program (Contributor, Contributor) / School of Molecular Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05