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By providing vignettes with manipulated scientific evidence, this research examined if including more or less scientific detail affected decision-making in regards to the death penalty. Participants were randomly assigned one of the two manipulations (less science and more science) after reading a short scenario introducing the mock capital trial and

By providing vignettes with manipulated scientific evidence, this research examined if including more or less scientific detail affected decision-making in regards to the death penalty. Participants were randomly assigned one of the two manipulations (less science and more science) after reading a short scenario introducing the mock capital trial and their role as jury members. Survey respondents were told that a jury had previously found the defendant guilty and they would now deliberate the appropriate punishment. Before being exposed to the manipulation, respondents answered questions pertaining to their prior belief in the death penalty, as well as their level of support of procedural justice and science. These questions provided a baseline to compare to their sentencing decision. Participants were then asked what sentence they would impose \u2014 life in prison or death \u2014 and how the fMRI evidence presented by an expert witness for the defense affected their decision. Both quantitative and qualitative measures were used to identify how the level of scientific detail affected their decision. Our intended predictor variable (level of scientific detail) did not affect juror decision-making. In fact, the qualitative results revealed a variety of interpretations of the scientific evidence used both in favor of death and in favor of life. When looking at what did predict juror decision-making, gender, prior belief in the death penalty, and political ideology all were significant predictors. As in previous literature, the fMRI evidence in our study had mixed results with regards to implementation of the death penalty. This held true in both of our manipulations, showing that despite the level of detail in evidence intended for mitigation, jurors with preconceived notions may still disregard the evidence, and some jurors may even view it is aggravating and thus increase the likelihood of a death sentence for a defendant with such brain abnormalities.
ContributorsBerry, Megan Cheyenne (Author) / Fradella, Hank (Thesis director) / Pardini, Dustin (Committee member) / Department of Psychology (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
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Description
In the last decade, the number of people who own a mobile phone or portable electronic communication device has grown exponentially. Recent advances in smartphone technology have enabled mobile devices to provide applications (“mHealth apps”) to support delivering interventions, tracking health treatments, or involving a healthcare team into the treatment

In the last decade, the number of people who own a mobile phone or portable electronic communication device has grown exponentially. Recent advances in smartphone technology have enabled mobile devices to provide applications (“mHealth apps”) to support delivering interventions, tracking health treatments, or involving a healthcare team into the treatment process and symptom monitoring. Although the popularity of mHealth apps is increasing, few lessons have been shared regarding user experience design and evaluation for such innovations as they relate to clinical outcomes. Studies assessing usability for mobile apps primarily rely on survey instruments. Though surveys are effective in determining user perception of usability and positive attitudes towards an app, they do not directly assess app feature usage, and whether feature usage and related aspects of app design are indicative of whether intended tasks are completed by users. This is significant in the area of mHealth apps, as proper utilization of the app determines compliance to a clinical study protocol. Therefore it is important to understand how design directly impacts compliance, specifically what design factors are prevalent in non-compliant users. This research studies the impact of usability features on clinical protocol compliance by applying a mixed methods approach to usability assessment, combining traditional surveys, log analysis, and clickstream analysis to determine the connection of design to outcomes. This research is novel in its construction of the mixed methods approach and in its attempt to tie usability results to impacts on clinical protocol compliance. The validation is a case study approach, applying the methods to an mHealth app developed for early prevention of anxiety in middle school students. The results of three empirical studies are shared that support the construction of the mixed methods approach.
ContributorsPatwardhan, Mandar (Author) / Gary, Kevin A (Thesis advisor) / Pina, Armando (Committee member) / Amresh, Ashish (Committee member) / Arizona State University (Publisher)
Created2016