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The prevalence of autonomous technology is advancing at a rapid rate and is becoming more sophisticated. As this technology becomes more advanced, humans and autonomy may work together as teammates in various settings. A crucial component of teaming is trust, but to date, researchers are limited in assessing trust calibration

The prevalence of autonomous technology is advancing at a rapid rate and is becoming more sophisticated. As this technology becomes more advanced, humans and autonomy may work together as teammates in various settings. A crucial component of teaming is trust, but to date, researchers are limited in assessing trust calibration dynamically in human-autonomy teams. Traditional methods of measuring trust (e.g., Likert scale questionnaires) capture trust after the fact or at a specific time. However, trust fluctuates, and determining what causes this might give machine designers insight into how machines can be improved upon so that operator’s trust towards the machines is more properly calibrated. This thesis aimed to assess the validity of an interaction-based metric of trust: anticipatory pushing of information. Anticipatory pushing of information refers to teammate A anticipating the needs of teammate B and pushing that information to teammate B. It was hypothesized there would be a positive relationship between the frequency of anticipatory pushing and self-reported trust scores. To test this hypothesis, text chat data and self-reported trust scores were analyzed in a previously conducted study in two different sessions (routine and degraded). Findings indicate that the anticipatory pushing of information and the self-reported trust scores between the human-human pairs in the degraded sessions were higher than the routine sessions. In degraded sessions, the anticipatory pushing of information between the human-human pairs was associated with human-human trust.
ContributorsBhatti, Shawaiz (Author) / Cooke, Nancy (Thesis advisor) / Chiou, Erin K (Committee member) / Gutzwiller, Robert (Committee member) / Arizona State University (Publisher)
Created2021
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Description
Choosing a video streaming service to subscribe to involves a complex decision-making process consisting of multifaceted factors that consumers must carefully consider. This dissertation identifies and examines the factors influencing consumers’ decisions by reviewing research from diverse fields such as human factors, psychology, economics, and human-computer interaction. The identified factors

Choosing a video streaming service to subscribe to involves a complex decision-making process consisting of multifaceted factors that consumers must carefully consider. This dissertation identifies and examines the factors influencing consumers’ decisions by reviewing research from diverse fields such as human factors, psychology, economics, and human-computer interaction. The identified factors shaping consumers’ choices, in order of importance, are advertisements, social value, price, content, and content discovery methods. Additionally, this study assesses consumers’ willingness to pay for each factor and examines whether their perceived explanation of their choice of platform aligns with the behavior in the choice experiments. Opportunities for future research are discussed including, the potential for developing an algorithm to determine one’s likelihood of subscribing to a streaming platform based on the choice heuristics outlined in this study.
ContributorsWallace, Sydney (Author) / Roscoe, Rod (Thesis advisor) / Cooke, Nancy (Committee member) / Craig, Scotty (Committee member) / Arizona State University (Publisher)
Created2024
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Description
Nuclear Power Plants (NPP) have complex and dynamic work environments. Nuclear safety and organizational management rely largely on human performance and teamwork. Multi-disciplinary teams work interdependently to complete cognitively demanding tasks such as outage control. The outage control period has the highest risk of core damage and radiation exposure. Thus,

Nuclear Power Plants (NPP) have complex and dynamic work environments. Nuclear safety and organizational management rely largely on human performance and teamwork. Multi-disciplinary teams work interdependently to complete cognitively demanding tasks such as outage control. The outage control period has the highest risk of core damage and radiation exposure. Thus, team coordination and communication are critically important during this period. The purpose of this thesis is to review and synthesize teamwork studies in NPPs, outage management studies, official Licensee Event Reports (LER), and Inspection Reports (IRs) to characterize team brittleness in NPP systems. Focusing on team brittleness can provide critical insights about how to increase NPP robustness and to create a resilient NPP system. For this reason, more than 900 official LERs and IRs reports were analyzed to understand human and team errors in the United States (US) nuclear power plants. The findings were evaluated by subject matter experts to create a better understanding of team cognition in US nuclear power plants. The results of analysis indicated that human errors could be caused by individual human errors, team errors, procedural errors, design errors, or organizational errors. In addition to these, some of the findings showed that number of reactors, operation year and operation mode could affect the number of reported incidents.
ContributorsAKCA, SALLY SALIHA (Author) / Cooke, Nancy (Thesis advisor) / Niemczyk, Mary (Committee member) / Branaghan, Russell (Committee member) / Arizona State University (Publisher)
Created2020