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Description
The experience of language can, as any other experience, change the way that the human brain is organized and connected. Fluency in more than one language should, in turn, change the brain in the same way. Recent research has focused on the differences in processing between bilinguals and monolinguals, and has even ventured into using different neuroimaging techniques to study why these differences exist. What previous research has failed to identify is the mechanism that is responsible for the difference in processing. In an attempt to gather information about these effects, this study explores the possibility that bilingual individuals utilize lower signal strength (and by comparison less biological energy) to complete the same tasks that monolingual individuals do. Using an electroencephalograph (EEG), signal strength is retrieved during two perceptual tasks, the Landolt C and the critical flicker fusion threshold, as well as one executive task (the Stroop task). Most likely due to small sample size, bilingual participants did not perform better than monolingual participants on any of the tasks they were given, but they did show a lower EEG signal strength during the Landolt C task than monolingual participants. Monolingual participants showed a lower EEG signal strength during the Stroop task, which stands to support the idea that a linguistic processing task adds complexity to the bilingual brain. Likewise, analysis revealed a significantly lower signal strength during the critical flicker fusion task for monolingual participants than for bilingual participants. Monolingual participants also had a significantly different variability during the critical flicker fusion threshold task, suggesting that becoming bilingual creates an entirely separate population of individuals. Future research should perform analysis with the addition of a prefrontal cortex electrode to determine if less collaboration during processing is present for bilinguals, and if signal complexity in the prefrontal cortex is lower than other electrodes.
ContributorsMcLees, Sallie (Author) / Náñez Sr., José E (Thesis advisor) / Holloway, Steven (Committee member) / Duran, Nicholas (Committee member) / Arizona State University (Publisher)
Created2019
Description
Autonomous Vehicles (AVs), or self-driving cars, are poised to have an enormous impact on the automotive industry and road transportation. While advances have been made towards the development of safe, competent autonomous vehicles, there has been inadequate attention to the control of autonomous vehicles in unanticipated situations, such as imminent crashes. Even if autonomous vehicles follow all safety measures, accidents are inevitable, and humans must trust autonomous vehicles to respond appropriately in such scenarios. It is not plausible to program autonomous vehicles with a set of rules to tackle every possible crash scenario. Instead, a possible approach is to align their decision-making capabilities with the moral priorities, values, and social motivations of trustworthy human drivers.Toward this end, this thesis contributes a simulation framework for collecting, analyzing, and replicating human driving behaviors in a variety of scenarios, including imminent crashes. Four driving scenarios in an urban traffic environment were designed in the CARLA driving simulator platform, in which simulated cars can either drive autonomously or be driven by a user via a steering wheel and pedals. These included three unavoidable crash scenarios, representing classic trolley-problem ethical dilemmas, and a scenario in which a car must be driven through a school zone, in order to examine driver prioritization of reaching a destination versus ensuring safety. Sample human driving data in CARLA was logged from the simulated car’s sensors, including the LiDAR, IMU and camera. In order to reproduce human driving behaviors in a simulated vehicle, it is necessary for the AV to be able to identify objects in the environment and evaluate the volume of their bounding boxes for prediction and planning. An object detection method was used that processes LiDAR point cloud data using the PointNet neural network architecture, analyzes RGB images via transfer learning using the Xception convolutional neural network architecture, and fuses the outputs of these two networks. This method was trained and tested on both the KITTI Vision Benchmark Suite dataset and a virtual dataset exclusively generated from CARLA. When applied to the KITTI dataset, the object detection method achieved an average classification accuracy of 96.72% and an average Intersection over Union (IoU) of 0.72, where the IoU metric compares predicted bounding boxes to those used for training.
ContributorsGovada, Yashaswy (Author) / Berman, Spring (Thesis advisor) / Johnson, Kathryn (Committee member) / Marvi, Hamidreza (Committee member) / Arizona State University (Publisher)
Created2020
Description
Excessive drinking in adolescence is a public health issue with major consequences on both an individual and societal level. Elucidating genetic and environmental influences could be particularly informative for prevention efforts. One potential source of genetic influence is sensitivity to environmental influences. It was hypothesized that parent knowledge would interact with genetic sensitivity to the environment to indirectly reduce risk for alcohol problems through less adolescent rule breaking behavior. Participants (N=316) provided genetic data and reported their rule breaking behavior and past year frequency of heavy drinking, and participants’ custodial parents reported their perceived knowledge of their child’s activities. A novel index of genetic sensitivity to environmental influence was created using published methylation quantitative trait locus data from the frontal lobe. Study hypotheses were mostly not supported. The study results likely reflect the poor distribution of study variables and the limitations of the current study’s sensitivity gene score. The current study underscored the importance of adhering to methodological rigor and explored alternate conceptualizations and methods that future research could use to elucidate the role of inherited to sensitivity to environmental influences in adolescent drinking.
ContributorsPandika, Danielle Mutiara (Author) / Chassin, Laurie (Thesis advisor) / Elam, Kit (Committee member) / Lemery-Chalfant, Kathryn (Committee member) / Edwards, Michael (Committee member) / Arizona State University (Publisher)
Created2020
Description
Depression has been found to be a major problem for young adults in college, with multiple studies indicating high prevalence rates for this population. College students struggling with depression suffer from various consequences, including academic impairment and suicidal ideation, with suicide being a leading cause of death for people in the typical age range for undergraduates. Grounded in cognitive behavior theory and humanistic theory, this study examined the intra and interpersonal factors related to depression among undergraduates. Specifically, the interrelations between friend social support, sense of belonging to the college, mattering to friends, hope, and depressive symptoms were explored. Sex and number of close friends were controlled for, as the literature also showed evidence of their significant relations to depression. The sample consisted of 177 undergraduates between the ages of 18 and 25 from a large southwestern university. Participants responded to an online survey. While participants represented a diverse range of ethnicities, the majority were White. Hierarchical multiple regression analyses revealed that hope and sense of belonging to the college negatively predicted depressive symptoms. Furthermore, through zero-order correlations, it was found that friend social support, sense of belonging to the college, mattering to friends, and hope were all positively correlated with each other. Implications for prevention and clinical practice include the roles that counselors, college personnel, and students play in the battle against depression.
ContributorsTang, Edwin (Author) / Robinson Kurpius, Sharon E (Thesis advisor) / Kinnier, Richard (Committee member) / Bludworth, James (Committee member) / Arizona State University (Publisher)
Created2021
Description
Socioeconomic status (SES) is one of the most well researched constructs in developmental science, yet important questions underly how to best model it. That is, are relations with SES always in the same direction or does the direction of association change at different levels of SES? In this dissertation, I conducted a meta-analysis using individual participant data (IPD) to examine two questions: 1) Does a nonmonotonic (quadratic) model of the relations between components of SES (i.e., income, years of education, occupation status/prestige), depressive symptoms, and academic achievement fit better than a monotonic (linear) model? and 2) Is the magnitude of relation moderated by developmental period, gender/sex, or race/ethnicity? I hypothesized that there would be more support for the nonmonotonic model. Moderation analyses were exploratory.
I identified nationally representative IPD from the Inter-university Consortium for Political and Social Research (ICPSR). I included 59 datasets, which represent 23 studies (e.g., Add Health) and 1,844,577 participants. Higher income (β = -0.11; β = 0.10), years of education (β = -0.09; β = 0.13), and occupational status (β = -0.04; β = 0.04) and prestige (β = -0.03; β = 0.04) were associated with a linear decrease in depressive symptoms and increase in academic achievement, respectively. Higher income (β = 0.05), years of education (β = 0.02), and occupational status/prestige (β = 0.02) were quadratically associated with a decrease in depressive symptoms followed by a slight increase at higher levels of income and a diminishing association towards higher levels of education and occupational status/prestige. Higher income was also quadratically associated with academic achievement (β = -0.03). I found evidence that these associations varied between developmental periods and racial/ethnic samples, but I did not find evidence of variation between females and males.
I integrate these findings with three conclusions: (1) more is not always better and (2) there are unique contexts and resources associated with different levels of SES that (3) operate in a dynamic fashion with other cultural systems (e.g., racism), which affect the integrated actions between the individual and context. I outline several measurement implications and limitations for future research directions.
ContributorsKorous, Kevin M. (Author) / Causadias, José M (Thesis advisor) / Bradley, Robert H (Thesis advisor) / Luthar, Suniya S (Committee member) / Levy, Roy (Committee member) / Arizona State University (Publisher)
Created2021
Description
Cognitive heuristics, or mental shortcuts, sometimes give rise to biases that can influence decision making. These biases may be particularly impactful in a legal context where decision making has lifelong consequences. One such legal decision falls upon social workers who are often tasked with providing custodial recommendations in child custody cases. Across a series of 2 studies, I explored the role of confirmation bias in social worker decision making, the potential value of blinding to reduce bias, as well as social workers’ perceptions of their own biases. Social workers were given detailed case materials describing a custody case between the state and a father. Participants were randomly assigned to read a previous examiner’s positive evaluation of a father, a negative evaluation of the father, or were blinded to a previous examiners rating. Social workers engaged in confirmation bias, such that those who read a positive evaluation of the father viewed him more positively than participants who read a negative evaluation of the father, despite the fact that all of the actual case evidence remained constant. Blinding did not appear to mitigate the bias. In study 2, social workers viewed themselves as less biased than their peers and less biased than other experts in a different field – signifying the presence of a bias blindspot. Together, my findings suggest the need to further explore how bias might affect judgments and also how to mitigate biases, such as making experts aware of their potential for bias.
ContributorsDenne, Emily (Author) / Neal, Tess M.S. (Thesis advisor) / Stolzenberg, Stacia N. (Committee member) / Fabricius, William (Committee member) / Arizona State University (Publisher)
Created2021
Description
Alcohol use disorder (AUD) causes immense global burden and has a significant impact on economic and societal functioning. Efficacious treatments for AUDs have been well-established within the literature, however the most commonly accessed treatments for AUD are alcohol-related services, such as self-help groups, outpatient clinics, and detoxification centers. Though studies suggest these services are effective at treating AUDs, there are numerous differences between individuals who receive alcohol-related services and individuals who do not, causing selection bias. Furthermore, current studies of alcohol-related services frequently define recovery outcomes as abstinence, which reduces variability in viable recovery outcomes, such as reduction of drinking behaviors. In addition, reduction in drinking and alcohol-related problems should theoretically have an impact on broader aspects of functioning, such as familial functioning. Improved familial context may reduce risk to family members, who are otherwise at heightened risk for emotional and behavioral problems when living with a family member with AUD. The current study investigated the effect of alcohol-related services on binary and continuous drinking outcomes after eliminating selection bias using multiple propensity score approaches, to identify the best methodology for a high-risk community sample of individuals with AUD. Propensity scores were created using logistic regression approaches and boosted regression trees. Matching, weighting, and subclassification were used, and matching was performed both using greedy and global approaches. Results suggested subclassification was the most successful method for real world alcohol-related services samples with moderate sample size. Moreover, findings demonstrated that boosted regression approaches were less successful than logistic regression approaches at minimizing the effects of selection bias on known confounding variables that are highly related to group selection. In addition, after removing the effects of selection bias, there were no significant difference between participants who received alcohol-related services and the comparison control group on drinking or family functioning, though both groups reduced drinking from pre- to post-alcohol-related services receipt. Findings suggest careful selection of quasi-experimental methods is warranted in real-world samples, to ensure optimal removal of selection bias. Moreover, future studies should continue to clarify the profile of individual that benefits from alcohol-related services to inform intervention efforts.
ContributorsSternberg, Ariel (Author) / Chassin, Laurie (Thesis advisor) / Corbin, William (Committee member) / Meier, Madeline (Committee member) / Grimm, Kevin (Committee member) / Arizona State University (Publisher)
Created2021
Description
Activity in the sympathetic branch of the autonomic nervous system tends tocovary amongst romantic partners. Studies of interpersonal physiology suggest that
romantic partners possess the ability to influence each other’s physiological states, which
may be observable through systematic covariation in partners’ physiological activity (i.e.,
physiological synchrony). However, very few studies have directly tested physiological
synchrony across conversation contexts, which is a notable gap in the literature given that
social context may modulate the implications of physiological synchrony on relational
functioning. Using electrodermal skin conductance as a measure of autonomic activity,
this study used multilevel vector autoregressive modeling to test for time-lagged
physiological synchrony across different-gender romantic partners while they discuss 1) a
mutual stress and 2) a topic of mutual enjoyment. Strong carryover (i.e., autoregressive)
effects were observed in both female and male partners in both conversations.
Unidirectional time-lagged synchrony was observed in the mutual stress conversation,
with female skin conductance preceding and predicting male skin conductance, on
average. No time-lagged synchrony effects were observed in the enjoyment conversation,
on average. Across both conversations, physiological synchrony varied greatly between
each couple. Findings prompt future studies to further explore physiological synchrony
using multiple physiological indicators to identity couple-specific dynamics.
ContributorsLeon, Gabriel Aaron (Author) / Randall, Ashley K (Thesis advisor) / Bludworth, James (Committee member) / Burleson, Mary H (Committee member) / Duran, Nicholas D (Committee member) / Arizona State University (Publisher)
Created2021
Description
As any group-work member can attest, conveying information, and confirming understanding among group members can be a challenging first step in problem-solving. Despite being a ubiquitous strategy employed in many educational and organizational settings, there are collaborations that fall flat while others succeed. Recent strides have been made in the psycholinguistic approach to communication, evaluating the extent to which speakers align across lexical, syntactic, and semantic usages of language within various task environments, but gaps remain in understanding the role of language in open-ended, emergent problem-solving spaces. Study 1 examines the specific trends and functions of lexical, syntactic, and semantic alignment among speakers in a complex, creative problem-solving effort. As collaborators work through their tasks, lexical alignment decreases as semantic alignment increases and syntactic re-use decreases. These findings suggest alignment may be a sensitive mechanism that hinges on time spent in a collaborative environment and the influencing factor of goal type. More research is needed to understand the varying mechanisms across unique problem-solving spaces that vary in complexity, silence of referents, and cognitive load placed upon performers. Follow-up analyses explore how speakers use specific terms in their collaborative dialogues, assessing the roles of cognition- and action-related language. The use of thinking words (e.g. “think”, “wonder”) predicts when participants may hit an impasse in their collaborations. One interpretation suggests that cognition-related language tends to be involved when groups struggle to convey ideas. Findings from the current work have implications for interventions in organizational and educational domains, along with potential artificial intelligence applications.
ContributorsPaige, Amie Joy (Author) / Duran, Nicholas D (Thesis advisor) / Lucca, Kelsey (Committee member) / Powell, Derek (Committee member) / Arizona State University (Publisher)
Created2021
Description
With the rise of Posttraumatic Stress Disorder (PTSD) among adults in the United States, understanding the processes of trauma, trauma related disorders, and the long-term impact of living with them is an area of continued focus for researchers. This is especially a concern in the case of current and former military service members (veterans), whose work activities and deployment cycles place them at an increased risk of exposure to trauma-inducing experiences but who have a low rate of self-referral to healthcare professionals. There is thus an urgent need for developing procedures for early diagnosis and treatment. The present study examines how the tools and findings of the field of linguistics may contribute to the field of trauma research. Previous research has shown that cognition and language production are closely linked. This study focuses on the role of prosody in PTSD and pilots a procedure for the data collection and analysis. Data consist of monologic talk from a sample of student-veterans and analyzed with speech software (Praat) for pauses greater than 250 milliseconds per 100 words. The pause frequency was compared to a PCL-5 score, an assessment used to check for PTSD symptoms and evaluate need for further assessment and possible diagnosis of PTSD. This pilot study found the methods successfully elicited data that could be used to measure and test the research questions. Although the findings of the study were inconclusive due to limitations of the participant pool, it found that the research model proved effect as a model for future linguistic research on trauma.
ContributorsSouthee, Richard Aaron (Author) / Prior, Matthew T. (Thesis advisor) / Pruitt, Kathryn (Committee member) / Pereira, Jennifer (Committee member) / Arizona State University (Publisher)
Created2020