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- Genre: Academic theses
Description
This dissertation examined sojourner adjustment success utilizing a unique method for collecting and analyzing the perceptions and sense making of the sojourner participants. Although previous research studies in this area have mostly relied on quantitative survey designs and researcher-generated models, this study relied on in-depth, participant-driven, qualitative interviews that were semi-structured using a software-assisted method called Interpretive Structural Modeling (ISM). Through this dissertation research, study abroad students (sojourners) had the opportunity to reflect on their sojourn experience, share their adjustment stories, and identify factors that were personally relevant to their success. This study broke new ground while building on the vast body of work in cross-cultural and sojourner adjustment. Sojourners were asked to provide their perspectives on the relationships among those factors reported in the literature that are commonly believed to influence successful adjustment. This allowed me to connect existing literature on the subject with the lived experience of the sojourner participants. This dissertation sought to answer two research questions. First, what factors do participants identify as being keys to the success of their sojourn? Second, what relationships do participants perceive among the factors contributing to successful sojourner adjustment? This dissertation found that language proficiency played a key role in their adjustment and openness was the factor most selected by participants in their explanation of a successful sojourn. Additionally, participant profiles and influence structure summaries provided evidence of the relationships participants saw among success factors in their lived experiences. In terms of preparing sojourners for going abroad, analysis of the composite structure revealed what could be prioritized in pre-departure training for impending sojourners. Themes emerged which provide insight into the commonalities of the sojourner experience despite differences in one's program or personality. This dissertation also explained additional success factors participants identified (e.g., ability to manage language fatigue, creation of connections with other travelers) that were not initially provided to them. Finally, suggestions for study abroad students/coordinators, researchers, and employers are provided.
ContributorsValianos, Alexis J (Author) / Broome, Benjamin (Thesis advisor) / Martin, Judith (Committee member) / Baldwin, John (Committee member) / Arizona State University (Publisher)
Created2014
Description
The history of the American Old West has frequently been romanticized and idealized. This dissertation study explored four Arizona towns that developed during the era of the American Old West: Tombstone, Jerome, Oatman, and Globe. The study broadly examined issues of remembering/forgetting and historical authenticity/myth. It specifically analyzed historic tourist destinations as visual phenomenon: seeking to understand how town histories were visually communicated to contemporary tourists and what role historically-grounded visual narratives played in the overall tourist experience. The study utilized a visual methodology to organize and structure qualitative data collection and analysis; it incorporated visual data from historic and contemporary photographs and textual data from observations and interviews. Through a careful exploration of each town's past and present, the research proposed a measure to assess how the strength of visual connections between past and present impacted tourist impressions of each town. The analysis suggested that, due to a general lack of historic knowledge, tourist impressions were more closely connected to contemporary experiences and prior expectations of the American Old West than to historically-grounded visual narratives.
ContributorsMcMullen, Melissa (Author) / Margolis, Eric (Thesis advisor) / Martin, Judith (Committee member) / Rowe, Jeremy (Committee member) / Arizona State University (Publisher)
Created2014
Description
The Autonomous Vehicle (AV), also known as self-driving car, promises to be a game changer for the transportation industry. This technology is predicted to drastically reduce the number of traffic fatalities due to human error [21].
However, road driving at any reasonable speed involves some risks. Therefore, even with high-tech AV algorithms and sophisticated sensors, there may be unavoidable crashes due to imperfection of the AV systems, or unexpected encounters with wildlife, children and pedestrians. Whenever there is a risk involved, there is the need for an ethical decision to be made [33].
While ethical and moral decision-making in humans has long been studied by experts, the advent of artificial intelligence (AI) also calls for machine ethics. To study the different moral and ethical decisions made by humans, experts may use the Trolley Problem [34], which is a scenario where one must pull a switch near a trolley track to redirect the trolley to kill one person on the track or do nothing, which will result in the deaths of five people. While it is important to take into account the input of members of a society and perform studies to understand how humans crash during unavoidable accidents to help program moral and ethical decision-making into self-driving cars, using the classical trolley problem is not ideal, as it is unrealistic and does not represent moral situations that people face in the real world.
This work seeks to increase the realism of the classical trolley problem for use in studies on moral and ethical decision-making by simulating realistic driving conditions in an immersive virtual environment with unavoidable crash scenarios, to investigate how drivers crash during these scenarios. Chapter 1 gives an in-depth background into autonomous vehicles and relevant ethical and moral problems; Chapter 2 describes current state-of-the-art online tools and simulators that were developed to study moral decision-making during unavoidable crashes. Chapters 3 focuses on building the simulator and the design of the crash scenarios. Chapter 4 describes human subjects experiments that were conducted with the simulator and their results, and Chapter 5 provides conclusions and avenues for future work.
However, road driving at any reasonable speed involves some risks. Therefore, even with high-tech AV algorithms and sophisticated sensors, there may be unavoidable crashes due to imperfection of the AV systems, or unexpected encounters with wildlife, children and pedestrians. Whenever there is a risk involved, there is the need for an ethical decision to be made [33].
While ethical and moral decision-making in humans has long been studied by experts, the advent of artificial intelligence (AI) also calls for machine ethics. To study the different moral and ethical decisions made by humans, experts may use the Trolley Problem [34], which is a scenario where one must pull a switch near a trolley track to redirect the trolley to kill one person on the track or do nothing, which will result in the deaths of five people. While it is important to take into account the input of members of a society and perform studies to understand how humans crash during unavoidable accidents to help program moral and ethical decision-making into self-driving cars, using the classical trolley problem is not ideal, as it is unrealistic and does not represent moral situations that people face in the real world.
This work seeks to increase the realism of the classical trolley problem for use in studies on moral and ethical decision-making by simulating realistic driving conditions in an immersive virtual environment with unavoidable crash scenarios, to investigate how drivers crash during these scenarios. Chapter 1 gives an in-depth background into autonomous vehicles and relevant ethical and moral problems; Chapter 2 describes current state-of-the-art online tools and simulators that were developed to study moral decision-making during unavoidable crashes. Chapters 3 focuses on building the simulator and the design of the crash scenarios. Chapter 4 describes human subjects experiments that were conducted with the simulator and their results, and Chapter 5 provides conclusions and avenues for future work.
ContributorsKankam, Immanuella (Author) / Berman, Spring (Thesis advisor) / Johnson, Kathryn (Committee member) / Yong, Sze Zheng (Committee member) / Arizona State University (Publisher)
Created2019
Description
This study investigated work-family conflict and related phenomena reported by female teachers in primary and secondary schools in Kenya. Specifically, it sought to first identify general work and family stressors and profession specific stressors, and how these stressors influenced teachers’ work-family conflict (WFC) and burnout. Second, it investigated whether support from home and work reduced these teachers’ perceived work-family conflict and burnout. Third, it investigated the impact of marital status, number and ages of children, length of teaching experience, and school location (city vs town) on perceived work-family conflict (WFC).
In this study, 375 female teachers from Nairobi and three towns completed a survey questionnaire with both closed- and open-ended questions. Data analysis was conducted through descriptive and inferential statistics, and content analyses of qualitative data. There were five primary findings. (1) Teachers clearly identified and described stressors that led to work-family conflict: inability to get reliable support from domestic workers, a sick child, high expectations of a wife at home, high workloads at school and home, low schedule flexibility, and number of days teachers spend at school beyond normal working hours, etc.
(2) Work-family conflict experienced was cyclical in nature. Stressors influenced WFC, which led to adverse outcomes. These outcomes later acted as secondary stressors. (3) The culture of the school and school’s resources influenced the level of support that teachers received. The level of WFC support that teachers received depended on the goodwill of supervisors and colleagues.
(4) Work-family conflict contributed to emotional exhaustion, cynicism, and professional efficacy. Time and emotional investment in students’ parents was related to emotional exhaustion; time and emotional investment in students’ behavior, the number of years teaching experience, and number of children were related to professional efficacy. Support from teachers’ spouses enabled teachers to cope with cynicism.
(5) While marital status did not influence WFC, school location did; teachers in Nairobi experienced more WFC than those in small towns. The study highlighted the importance of culture in studies of work-family conflict, as some of the stressors and WFC experiences identified seemed unique to the Kenyan context. Finally, theoretical implications, policy recommendations, and further research directions are presented.
In this study, 375 female teachers from Nairobi and three towns completed a survey questionnaire with both closed- and open-ended questions. Data analysis was conducted through descriptive and inferential statistics, and content analyses of qualitative data. There were five primary findings. (1) Teachers clearly identified and described stressors that led to work-family conflict: inability to get reliable support from domestic workers, a sick child, high expectations of a wife at home, high workloads at school and home, low schedule flexibility, and number of days teachers spend at school beyond normal working hours, etc.
(2) Work-family conflict experienced was cyclical in nature. Stressors influenced WFC, which led to adverse outcomes. These outcomes later acted as secondary stressors. (3) The culture of the school and school’s resources influenced the level of support that teachers received. The level of WFC support that teachers received depended on the goodwill of supervisors and colleagues.
(4) Work-family conflict contributed to emotional exhaustion, cynicism, and professional efficacy. Time and emotional investment in students’ parents was related to emotional exhaustion; time and emotional investment in students’ behavior, the number of years teaching experience, and number of children were related to professional efficacy. Support from teachers’ spouses enabled teachers to cope with cynicism.
(5) While marital status did not influence WFC, school location did; teachers in Nairobi experienced more WFC than those in small towns. The study highlighted the importance of culture in studies of work-family conflict, as some of the stressors and WFC experiences identified seemed unique to the Kenyan context. Finally, theoretical implications, policy recommendations, and further research directions are presented.
ContributorsMuasya, Gladys (Author) / Martin, Judith (Thesis advisor) / Mongeau, Paul (Committee member) / Walumbwa, Fred (Committee member) / Arizona State University (Publisher)
Created2015
Description
This dissertation aimed to identify the factors that facilitated the friendship initiation, development, and maintenance between Taiwanese and Chinese students and the influential relationship among those factors. Nine Taiwanese and nine Chinese students studying at one Taiwanese university were recruited for this study. The Chinese students were in Taiwan for at least two years. The participants were friends with the other party for at least 8 months. This study was divided into three stages. In the first stage, participants were required to provide factors that facilitated their friendship with the other party. Fifty ideas were collected. In the second stage, participants were asked to clarify those factors and then categorize those factors. Fourteen categories were identified in this stage. The participants, then, voted on factors that affected their friendship formation, development, and maintenance with other party. Fifteen factors were voted the highest among those factors. Those 15 factors were imported into interpretive structure modeling (ISM) software for the next stage. In the third stage, 18 one-on-one interviews were conducted, and 18 ISM diagrams were generated. ISM provided a method to identify the influential relationship among those factors. According to the results, the friendship formation model was proposed. Five stages were identified in this model: exploring, matching, engaging, deepening and bonding.
ContributorsChen, Tzu-Chiao (Author) / Broome, Benjamin (Thesis advisor) / Martin, Judith (Committee member) / Romero, Mary (Committee member) / Arizona State University (Publisher)
Created2016
Description
This study aims to deepen the understanding of how Third Culture Kids (TCKs) receive and maintain long-term perceptions of positive identity. The literature review surveys bodies of research related to Third Culture Kids, intercultural communication conceptions of identity, and communication strategies of identity management. The research framework is a response to Martin and Nakayama’s (2010) call for a dialectical approach to the study of intercultural communication, and reflects an interpretive/critical/activist dialectic paradigm.
This qualitative multi-method research project gathered survey, interview, and visual data through online platforms. Participants were TCKs over age 40 who self-selected as having a positive identity. A modified grounded analysis revealed several key findings connected to agency development, choice making, communication filters, and framing of positivity. Factors contributing to characteristics of a positive identity included sending organization, total number and frequency of moves, and degrees of difference among their cultural contexts.
This qualitative multi-method research project gathered survey, interview, and visual data through online platforms. Participants were TCKs over age 40 who self-selected as having a positive identity. A modified grounded analysis revealed several key findings connected to agency development, choice making, communication filters, and framing of positivity. Factors contributing to characteristics of a positive identity included sending organization, total number and frequency of moves, and degrees of difference among their cultural contexts.
ContributorsJung, Amy Christine (Author) / Broome, Benjamin (Thesis advisor) / Martin, Judith (Committee member) / Tracy, Sarah (Committee member) / Cottrell, Anna (Committee member) / Arizona State University (Publisher)
Created2016
Description
This dissertation investigated positive intergroup contact and communication in the experiences of fans at the 2016 Summer Olympics in Rio de Janeiro, Brazil. Guided by concepts from Intergroup Contact Theory (ICT), formerly Allport’s (1954) Contact Hypothesis, I asked fans to identify and discuss factors that were relevant to their experiences at the event. These factors are reported in previous literature to foster positive intergroup relations. The fan participants also provided detailed, experience-based rationales for why and how the factors supported each other and created individual models of their experiences of ICT at the Olympics. The study relied on participant-centered, in-depth qualitative interviews using Interpretive Structural Modeling (ISM) software. Based on an integration of ICT, communication theories, social capital concepts, and calls from the International Olympic Committee (IOC) and mega-sporting event industry, the dissertation sought to answer four research questions. It started with a broad approach to the array of previous scholars’ ICT factors in order to identify what factors were present and relevant in fans’ experiences. It also sought to understand why and how the factors worked together by analyzing the ways factors related to and supported each other in Olympic fans’ experiences and producing a composite meta-structure of the factors’ relationships. Additionally, through thematic analysis, the research explored where and when in fans’ experiences the factors emerged and were active. Finally, the study identified the functions that each ICT factor served in fostering positive intergroup contact and communication and offered suggestions for practitioners and organizers of intergroup contexts. The study aimed to make theoretical contributions by addressing gaps and calls in ICT literature, as well as practical contributions by providing insight about how to organize intergroup contexts to foster positive contact and communication. In addition to addressing its research questions, the study provided a comprehensive list of previous scholars’ ICT factors, a preliminary, tentative model of ICT for ideal intergroup contexts adapted from Pettigrew’s (1998) model of group membership transformation for problematic contexts, and promising future directions given the unique, ideal, and unexplored features of the Olympics.
ContributorsBrenneman, Luke (Author) / Alberts, Janet (Thesis advisor) / Broome, Benjamin (Thesis advisor) / Chatziefstathiou, Dikaia (Committee member) / Martin, Judith (Committee member) / Arizona State University (Publisher)
Created2017
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
Autonomous vehicle technology has been evolving for years since the Automated Highway System Project. However, this technology has been under increased scrutiny ever since an autonomous vehicle killed Elaine Herzberg, who was crossing the street in Tempe, Arizona in March 2018. Recent tests of autonomous vehicles on public roads have faced opposition from nearby residents. Before these vehicles are widely deployed, it is imperative that the general public trusts them. For this, the vehicles must be able to identify objects in their surroundings and demonstrate the ability to follow traffic rules while making decisions with human-like moral integrity when confronted with an ethical dilemma, such as an unavoidable crash that will injure either a pedestrian or the passenger.
Testing autonomous vehicles in real-world scenarios would pose a threat to people and property alike. A safe alternative is to simulate these scenarios and test to ensure that the resulting programs can work in real-world scenarios. Moreover, in order to detect a moral dilemma situation quickly, the vehicle should be able to identify objects in real-time while driving. Toward this end, this thesis investigates the use of cross-platform training for neural networks that perform visual identification of common objects in driving scenarios. Here, the object detection algorithm Faster R-CNN is used. The hypothesis is that it is possible to train a neural network model to detect objects from two different domains, simulated or physical, using transfer learning. As a proof of concept, an object detection model is trained on image datasets extracted from CARLA, a virtual driving environment, via transfer learning. After bringing the total loss factor to 0.4, the model is evaluated with an IoU metric. It is determined that the model has a precision of 100% and 75% for vehicles and traffic lights respectively. The recall is found to be 84.62% and 75% for the same. It is also shown that this model can detect the same classes of objects from other virtual environments and real-world images. Further modifications to the algorithm that may be required to improve performance are discussed as future work.
Testing autonomous vehicles in real-world scenarios would pose a threat to people and property alike. A safe alternative is to simulate these scenarios and test to ensure that the resulting programs can work in real-world scenarios. Moreover, in order to detect a moral dilemma situation quickly, the vehicle should be able to identify objects in real-time while driving. Toward this end, this thesis investigates the use of cross-platform training for neural networks that perform visual identification of common objects in driving scenarios. Here, the object detection algorithm Faster R-CNN is used. The hypothesis is that it is possible to train a neural network model to detect objects from two different domains, simulated or physical, using transfer learning. As a proof of concept, an object detection model is trained on image datasets extracted from CARLA, a virtual driving environment, via transfer learning. After bringing the total loss factor to 0.4, the model is evaluated with an IoU metric. It is determined that the model has a precision of 100% and 75% for vehicles and traffic lights respectively. The recall is found to be 84.62% and 75% for the same. It is also shown that this model can detect the same classes of objects from other virtual environments and real-world images. Further modifications to the algorithm that may be required to improve performance are discussed as future work.
ContributorsSankaramangalam Ulhas, Sangeet (Author) / Berman, Spring (Thesis advisor) / Johnson, Kathryn (Committee member) / Yong, Sze Zheng (Committee member) / Arizona State University (Publisher)
Created2019
Description
Black male students experience a number of issues related to identity during the persistence process, which have potential to deter them from graduating. Some of these issues include feeling isolated and lack of access to resources due to their ethnic and/or racial identities. Recent statistics indicate that though there is an increase in college enrollment for Black students, the graduation rate is disproportionate to their enrollment. Using critical race theory, co-cultural theory, and communication theory of identity, this study investigated the role of identity in the persistence of Black male students’ graduation rates. Specifically, the central question was ‘What role, if any, do identity processes play in Black male students' decisions to continue or depart from a Predominantly White Institution?’ In order to answer this question, fifteen first-generation Black male college students were interviewed in order to understand the specific experiences that impacted them in relation to graduation. The study sample included a subset of Black male athletes who were found to have distinct differences in college experiences based solely on their athlete status. The overall results indicate that Black male students have expectations of the persistence process and that their personal identity also plays a significant role in the persistence process. In order to maintain their identities and continue with coursework, Black males enacted persistence strategies that were consistent with an overall goal of graduating. Research findings suggest that Black males must maintain a strong personal identity in order to maintain their personal commitment to graduation and college institutions can support them in this endeavor. Research outcomes also suggest that Black males should have a plan of persistence upon entering college, which is constantly reinforced as a graduation motivator.
ContributorsRobinson, Jennifer Christine (Author) / Martin, Judith (Thesis advisor) / Alberts, Jess (Committee member) / Jimenez-Castellanos, Oscar (Committee member) / Arizona State University (Publisher)
Created2015