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Description
Deoxyribonucleic Acid (DNA) evidence has been shown to have a strong effect on juror decision-making when presented in court. While DNA evidence has been shown to be extremely reliable, fingerprint evidence, and the way it is presented in court, has come under much scrutiny. Forensic fingerprint experts have been working on a uniformed way to present fingerprint evidence in court. The most promising has been the Probabilistic Based Fingerprint Evidence (PBFE) created by Forensic Science Services (FSS) (G. Langenburg, personal communication, April 16, 2011). The current study examined how the presence and strength of DNA evidence influenced jurors' interpretation of probabilistic fingerprint evidence. Mock jurors read a summary of a murder case that included fingerprint evidence and testimony from a fingerprint expert and, in some conditions, DNA evidence and testimony from a DNA expert. Results showed that when DNA evidence was found at the crime scene and matched the defendant other evidence and the overall case was rated as stronger than when no DNA was present. Fingerprint evidence did not cause a stronger rating of other evidence and the overall case. Fingerprint evidence was underrated in some cases, and jurors generally weighed all the different strengths of fingerprint testimony to the same degree.
ContributorsArthurs, Shavonne (Author) / McQuiston, Dawn (Thesis advisor) / Hall, Deborah (Committee member) / Schweitzer, Nicholas (Committee member) / Arizona State University (Publisher)
Created2012
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
This chapter integrates from cognitive neuroscience, cognitive psychology, and social psychology the basic science of bias in human judgment as relevant to judgments and decisions by forensic mental health professionals. Forensic mental health professionals help courts make decisions in cases when some question of psychology pertains to the legal issue, such as in insanity cases, child custody hearings, and psychological injuries in civil suits. The legal system itself and many people involved, such as jurors, assume mental health experts are “objective” and untainted by bias. However, basic psychological science from several branches of the discipline suggest the law’s assumption about experts’ protection from bias is wrong. Indeed, several empirical studies now show clear evidence of (unintentional) bias in forensic mental health experts’ judgments and decisions. In this chapter, we explain the science of how and why human judgments are susceptible to various kinds of bias. We describe dual-process theories from cognitive neuroscience, cognitive psychology, and social psychology that can help explain these biases. We review the empirical evidence to date specifically about cognitive and social psychological biases in forensic mental health judgments, weaving in related literature about biases in other types of expert judgment, with hypotheses about how forensic experts are likely affected by these biases. We close with a discussion of directions for future research and practice.
ContributorsNeal, Tess M.S. (Author) / Hight, Morgan (Author) / Howatt, Brian C. (Author) / Hamza, Cassandra (Author)
Created2017-04-30
Description
Over the past 60 years or so, audience researchers have strived to investigate the impact of structural and motivational factors on audiences’ television viewing behaviors. With the popularity of streaming services, the way people consume and discuss media content has been fundamentally transformed. However, the academic understanding of whether factors traditionally found to impact television viewing behaviors continue to do so in the streaming age remains limited. Building on both agent-based and structural theories in television audience research, this study employed a mixed-method approach that combines data collected via in-depth interviews with that from screenshots captured with a browser extension to revisit the roles of structural and motivational factors in participants’ Netflix viewing. The study’s results underscore that, even in a high-choice media environment, structural factors (e.g., audience availability, content availability and exclusivity) and traditional viewing motivations (i.e. for relaxation and enjoyment) remain critical in determining participants’ viewing practices. Specifically, the platforms and devices that people use to watch television may differ from those used in the network era, but why they watch, when they watch, and what they watch are still determined by the motivational and structural factors identified in traditional television audience research. In addition, the results showed that newer structural factors such as program scores on recommendation sites have less of an impact on participants’ viewing decisions. Habits, which are commonly overlooked in audience research, played an important role in influencing when, how, and what participants watched on Netflix. Further, despite having access to almost unlimited viewing options, many participants still tended to watch programs that they were familiar with or had watched before. The findings highlighted that, even in today’s fragmented media environment, participants’ Netflix viewing practices were repetitive and deeply embedded in the structured routines of their daily lives. The study advances television audience scholarship by providing fresh insights about the traditional and emerging factors in determining viewers’ streaming behaviors. Theoretical implications and future directions are discussed.
ContributorsShao, Chun (Author) / Barrett, Marianne (Thesis advisor) / Gilpin, Dawn (Committee member) / Kwon, K. Hazel (Committee member) / Hall, Deborah (Committee member) / Arizona State University (Publisher)
Created2023
Description
The “filter bubble” has been a heated discussion topic since several years ago. In addition to possible algorithmic contribution to this phenomenon, people’s selective exposure tendency may be another primary cause of the “filter bubble” on social media. Prior research indicates that, under the influence of selective exposure tendency, people tend to perceive pro-attitudinal news as more credible than counter-attitudinal news, with strong partisans more likely to be affected. The proposed thesis seeks to examine whether the perceived credibility of a news source and story on social media is influenced by selective exposure and strength of partisanship. Through an experimental study via Amazon’s Mechanical Turk, 468 participants chose or were assigned to read an ostensible news story from a social media feed with the news source and ideological slant varied between participants. The results showed that people reported higher perceived source and story credibility when the source and stories were pro-attitudinal (consistent with their political ideology) as opposed to counter-attitudinal, regardless of participants’ age, race, perceived credibility of news from social media, in general, and strength of partisanship. However, contrary to the hypotheses, selective exposure behavior (i.e., choosing a preferred news source before reading a news story) did not affect credibility perceptions when participants read counter-attitudinal news from a pro-attitudinal source. Last, strength of partisanship did not moderate the influence of selective exposure on credibility perceptions. In sum, this study suggests that although selective exposure tendency may affect people’s credibility perceptions and contribute to “filter bubbles,” the impact of selective exposure behavior may be overestimated in terms of perceived source and story credibility of news on social media.
ContributorsLiu, Xingyu (Author) / Mickelson, Kristin D (Thesis advisor) / Hall, Deborah (Committee member) / Walker, Shawn (Committee member) / Arizona State University (Publisher)
Created2020