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- All Subjects: psychology
- Creators: Schweitzer, Nicholas
- Creators: Cooke, Nancy J.
Description
The study at hand investigated the effects of guidance and type of occlusion on the prediction of shot direction during a soccer penalty kick. Seventy participants took an online survey where they had to guess the direction of a penalty kick from the perspective of a goalkeeper. Half the participants were placed in a group where they had access to tips on what to look for, while the other group had no tips provided. Participants were shown videos in which the penalty shooter had their upper body covered or their lower body covered. Participants had 30 seconds to decide what side the ball was going to, right or left. Results showed that there is no significant between the two groups in terms of judgment accuracy. The group that received no guidance and had the kicker's lower body covered was the group with the highest average score, 50.44%. The findings may help future studies that focus on what material is taught to goalkeepers in a classroom setting and the role of occlusion during free kicks outside the 18-yard box.
ContributorsCervantes, Ian (Author) / Gray, Robert (Thesis advisor) / Cooke, Nancy J. (Committee member) / Branaghan, Russell (Committee member) / Arizona State University (Publisher)
Created2019
Description
An expanse of research has demonstrated that persons with mental illness (PWMI) tend to avoid formal psychological treatment.One possible explanation for this failure to pursue formal treatment is the tendency of religious individuals to construe mental illness as spiritual in nature, leading religious communities to actively discourage emotional and psychological help-seeking through non-spiritual means. The present study examined help-seeking behaviors among religious PWMI by examining the impact of religiosity and gender on the relationship between mental illness stigma and help-seeking behaviors. Results indicate that higher levels of perceived stigma and religious salience relate to higher reported indirect support-seeking (ISS). Moreover, only religious salience appears to significantly relate to ISS among men, whereas perceived mental illness stigma significantly predicts direct and indirect support-seeking behaviors among women.
ContributorsMalouf, Laura Means (Author) / Mickelson, Kristin (Thesis advisor) / Hall, Deborah (Committee member) / Schweitzer, Nicholas (Committee member) / Arizona State University (Publisher)
Created2020
Description
The choices of an operator under heavy cognitive load are potentially critical to overall safety and performance. Such conditions are common when technological failures arise, and the operator is forced into multi-task situations. Task switching choice was examined in an effort to both validate previous work concerning a model of task overload management and address unresolved matters related to visual sampling. Using the Multi-Attribute Task Battery and eye tracking, the experiment studied any influence of task priority and difficulty. Continuous visual attention measurements captured attentional switches that do not manifest into behaviors but may provide insight into task switching choice. Difficulty was found to have an influence on task switching behavior; however, priority was not. Instead, priority may affect time spent on a task rather than strictly choice. Eye measures revealed some moderate connections between time spent dwelling on a task and subjective interest. The implication of this, as well as eye tracking used to validate a model of task overload management as a whole, is discussed.
ContributorsZabala, Garrett (Author) / Gutzwiller, Robert S (Thesis advisor) / Cooke, Nancy J. (Committee member) / Gray, Rob (Committee member) / Arizona State University (Publisher)
Created2020
Description
In the legal system, the prediction of a person’s risk of committing a crime has mostly been based on expert judgment. However, newer techniques that employ machine learning (ML)—a type of artificial intelligence—are being implemented throughout the justice system. Yet, there is a lack of research on how the public perceives and uses machine learning risk assessments in legal settings. In two mock-trial vignette studies, the perception of ML-based risk assessments versus more traditional methods was assessed. Study 1 was a 2 (severity of crime: low, high) x 2 (risk assessment type: expert, machine learning) x 2 (risk outcome: low, high) between-subjects design. Participants expressed ethical concerns and discouraged the use of machine learning risk assessments in sentencing decisions, but punishment recommendations were not affected. Study 2 was a within-subjects design where participants were randomly assigned read through one of three crime scenarios (violent, white-collar, sex offense) and one of three risk assessment techniques (expert, checklist, machine learning). Consistent with Study 1, participants had ethical concerns and disagreed with the use of machine learning risk assessments in bail decisions, yet their own decisions and recommendations did not reflect these concerns. Overall, laypeople express skepticism toward these new methods, but do not appear to differentially rely on ML-based versus traditional risk assessments in their own judgments.
ContributorsFine, Anna (Author) / Schweitzer, Nicholas (Thesis advisor) / Salerno, Jessica (Committee member) / Smalarz, Laura (Committee member) / Arizona State University (Publisher)
Created2021
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
Several states within the United States have recently passed the Victim Life Photo Act, which allows prosecutors to present photographs of alleged murder victims when they were alive during the guilt phase of a trial. Critics argue that these photographs do not offer any relevant information about the crime or the defendant’s potential guilt and might bias jurors to vote guilty based on their sympathy for the victim—perhaps disproportionally so for high-status victims. Two mock trial experiments tested whether online participants who viewed alleged murder victim photographs would convict more because they increase anger, disgust, fear, sadness, and/or sympathy. Mock jurors who saw photographs of White (but not racial minority) victims while they were alive reported more sympathy for the victim relative to those who saw the same evidence without a photograph of the living victim—but the sympathy did not increase convictions (Study 1). Study 2 extended this study by testing whether the living victim photographs are more impactful in conjunction with seeing gruesome photographs of the victim after her death, creating a particularly disturbing contrast effect versus seeing the living photograph alone. Study 2 found that (a) living victim photographs on their own again had no effect on participants’ verdicts, (b) gruesome photographs on their own increased convictions through increased disgust, and (c) participants who saw both living and gruesome murder victim photographs (versus gruesome alone) were more conviction prone due to increased anger and sympathy. These studies inform current debates regarding the controversial Victim Life Photo Act: Admitting living victim photographs during the guilt phase—if presented along with gruesome photographs—can make jurors more sympathetic and angry, which can increase convictions.
ContributorsAdamoli, Madison Marie (Author) / Salerno, Jessica M (Thesis advisor) / Neal, Tess (Committee member) / Schweitzer, Nicholas (Committee member) / Arizona State University (Publisher)
Created2020