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ContributorsDeliwala, Dheeti (Author) / Bryan, Chris (Thesis director) / Strickland, James (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor) / School of Politics and Global Studies (Contributor)
Created2023-12
ContributorsDeliwala, Dheeti (Author) / Bryan, Chris (Thesis director) / Strickland, James (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor) / School of Politics and Global Studies (Contributor)
Created2023-12
ContributorsSeo, YoonJi (Performer) / Choi, Hyeongji (Performer) / Choi, Hyeri (Performer) / Ko, Eunbin (Performer) / Jeon, Dasom (Performer) / Kim, Sungmin (Performer) / Lee, Jiyoung (Performer) / Jeong, Jieun (Performer) / Park, Chulyoung (Performer) / Jo, Hyunsun (Performer) / Steinweg, Tiffany (Performer) / Browning, Natalie (Performer) / ASU Library. Music Library (Publisher)
Created2023-10-28
Description
Children have been known to engage in socially curious behaviors, such as frequently asking questions about other people’s feelings and actions (Friedman et al., 2018). Social curiosity helps children engage in cultural learning and understanding the explicit and implicit rules of society (Hartung & Renner, 2013). However, little is known about how social curiosity may impact children’s moral development. Seeking out social information may help form connections between children, increasing the extent to which they behave prosocially to others. Additionally, similar constructs to social curiosity (theory of mind and empathy) are linked to prosocial behavior (Imuta et al., 2016; Ding & Lu, 2016). The present study therefore investigates the relationship between social curiosity and prosocial sharing. To test the hypothesis that children who are primed to be socially curious will exhibit increased prosocial sharing, we used the Social Uncertainty Paradigm to elicit social curiosity in children who then completed a sticker sharing task. Our hypothesis was not supported; no significant differences between the sharing behaviors of children primed for social curiosity and those who were not. Additional research is needed to conclude whether social curiosity may be linked to prosocial behavior in a way that this study was not able to determine.
ContributorsTrimble, Gemma (Author) / Lucca, Kelsey (Thesis director) / Lee, Nayen (Committee member) / Barrett, The Honors College (Contributor) / Department of Psychology (Contributor) / Sanford School of Social and Family Dynamics (Contributor) / School of Human Evolution & Social Change (Contributor)
Created2023-12
ContributorsPeterson, Danielle (Performer) / Beymanov, Polina (Performer) / ASU Library. Music Library (Publisher)
Created2023-10-29
ContributorsBeymanov, Polina (Performer) / Bolles, Olivia (Performer) / Ho, Ka I (Performer) / Peterson, Danielle (Performer) / Yu, Wan-Ting (Performer) / Salomon, Gabrielle (Performer) / ASU Library. Music Library (Publisher)
Created2023-11-03
Description
Dual language use is thought to afford certain cognitive advantages to bilingual children and may function as an additional resource to help low-income Mexican-American children achieve academically. Emotion regulation and executive functioning (e.g., inhibition) have been found to be particularly important in studies investigating pathways to early academic achievement. Understanding how we can capitalize on children’s bilingual abilities to strengthen their executive functioning and emotion regulation, or to offset problems in these domains, may be important to promote better educational outcomes and inform policy. Thus, the current study investigated the relation between emerging bilingualism, inhibition, emotion regulation, and academic achievement across early childhood in sample of 322 low-income, Mexican-American children. Data were collected in a laboratory space at child ages 36-, 54-, and 72-months. Bilingualism was indexed as the interaction of Spanish and English vocabulary, and a mediated moderation model was examined. Results provided further evidence that inhibition positively predicts academic achievement during early childhood. Greater Spanish language vocabulary indirectly predicted academic achievement while controlling for English language vocabulary, suggesting that children from immigrant families may benefit from maintaining their Spanish language abilities as they begin to immerse themselves in an English-speaking classroom. Advancing our understanding of the development of self-regulatory abilities within bilingual, immigrant populations could have significant implications for educational policy.
ContributorsWinstone, Laura K (Author) / Crnic, Keith (Thesis advisor) / Gonzales, Nancy (Committee member) / Benitez, Viridiana (Committee member) / Arizona State University (Publisher)
Created2018
Description
Risk assessments are key legal tools that can inform a number of legal decisions regarding parole sentencing and predict recidivism rates. Due to assessments being
historically performed by humans, they can be prone to bias and have come under various
amounts of scrutiny. The increased capability and application of machine learning
technology has lead the justice system to incorporate algorithms and codes to increase
accuracy and reliability. This study researched laypersons’ attitudes towards these algorithms
and how they would change when exposed to an algorithm that made errors in the risk
assessment process. Participants were tasked with reading two vignettes and answering a series
of questions to assess the differences in their perceptions towards machine learning and
clinician-based risk assessments. The research findings showed that individuals lent more trust
to clinicians and had more confidence in their assessments when compared to machines, but
were not significantly more punitive when it came to attributing blame and judgement for the
consequences of an incorrect risk assessment. Participants had a significantly more positive
attitude towards clinician-based risk assessments, noting their assessments as being more
reliable, informed, and trustworthy. Participants were also asked to come to a parole decision
using the assessment of either a clinician or machine learning algorithm at the end of the study
and rate their own confidence in their decision. Results found that participants were only
significantly less confident in their decision when exposed to previous instances of risk
assessments with error, but that there was no significant difference in their confidence based
solely on who conducted the assessment.
ContributorsMa, Angeline (Author) / Schweitzer, Nicholas (Thesis advisor) / Powell, Derek (Committee member) / Smalarz, Laura (Committee member) / Arizona State University (Publisher)
Created2023
Description
Research in intercollegiate athletics has provided a relatively large body of findings about the kinds of stressors found in high profile intercollegiate athletic environments and their effects on student-athletes. Research is less robust regarding stress and its effects on head coaches in high profile collegiate athletics. This study focuses on the types, frequencies, and intensities of stress experienced by NCAA, Division I head coaches. The purpose of the study is to identify the types, frequency, and intensity of stress common to 20 head basketball coaches participating in the study, as well as differences in their experiences based on gender, race and the intersectionality of race and gender. The participants in the study are 20 head coaches (five Black females, five Black males, five White females, and White males). The conceptual framework guiding the study is a definition of stress as an interaction between a person and her or his environment in which the person perceives the resources available to manage the situation to be inadequate (Lazarus & Folkman, 1984). The study’s design is an adaptation of prior research conducted by Frey, M., 2007 and Olusoga, P., Butt, J., Hays, K., & Maynard, I., 2009, and Olusoga, P., Butt, J., Maynard, I., & Hays, K., 2011. This study used qualitative and quantitative methods that triangulated results scores on Maslach’s Burn-out Inventory and the Perceived Stress Scale with the thick data collected from semi-structured interviews with the 20 head coaches from each of the three data sources to enhance the validity and reliability of the findings. The researcher analyzed the data collected by placing it in one of two categories, one representing attributes of the participants including race and gender; the second category was comprised of attributes of the Division I environment.
ContributorsRousseau, Julie B (Author) / Gray, Rob (Thesis advisor) / Vega, Sujey (Committee member) / Wilson, Jeffrey (Committee member) / Arizona State University (Publisher)
Created2019
Description
Human civilization within the last two decades has largely transformed into an online one, with many of its associated activities taking place on computers and complex networked systems -- their analog and real-world equivalents having been rendered obsolete.These activities run the gamut from the ordinary and mundane, like ordering food, to complex and large-scale, such as those involving critical infrastructure or global trade and communications.
Unfortunately, the activities of human civilization also involve criminal, adversarial, and malicious ones with the result that they also now have their digital equivalents.
Ransomware, malware, and targeted cyberattacks are a fact of life today and are instigated not only by organized criminal gangs, but adversarial nation-states and organizations as well.
Needless to say, such actions result in disastrous and harmful real-world consequences. As the complexity and variety of software has evolved, so too has the ingenuity of attacks that exploit them; for example modern cyberattacks typically involve sequential exploitation of multiple software vulnerabilities.Compared to a decade ago, modern software stacks on personal computers, laptops, servers, mobile phones, and even Internet of Things (IoT) devices involve a dizzying array of interdependent programs and software libraries, with each of these components presenting attractive attack-surfaces for adversarial actors.
However, the responses to this still rely on paradigms that can neither react quickly enough nor scale to increasingly dynamic, ever-changing, and complex software environments.
Better approaches are therefore needed, that can assess system readiness and vulnerabilities, identify potential attack vectors and strategies (including ways to counter them), and proactively detect vulnerabilities in complex software before they can be exploited. In this dissertation, I first present a mathematical model and associated algorithms to identify attacker strategies for sequential cyberattacks based on attacker state, attributes and publicly-available vulnerability information.Second, I extend the model and design algorithms to help identify defensive courses of action against attacker strategies.
Finally, I present my work to enhance the ability of coverage-based fuzzers to identify software vulnerabilities by providing visibility into complex, internal program-states.
ContributorsPaliath, Vivin Suresh (Author) / Doupe, Adam (Thesis advisor) / Shoshitaishvili, Yan (Thesis advisor) / Wang, Ruoyu (Committee member) / Shakarian, Paulo (Committee member) / Arizona State University (Publisher)
Created2023