Police use of force is an issue that generates considerable public interest. Seeing police use of force in person or via video recordings seldom looks good for the viewer. Police must constantly be aware of their reasons for using force, the methods that they employ, and the decisions that they make in using force. Optimal results come from optimal decision-making, but analyzing whether the training that police receive leads to optimal decision-making is not a topic that has been researched often. By utilizing the martial art of Brazilian Jiu-Jitsu, the Mesa Police Department has taught their officers how to maintain broad focus of attention on their environment and more time to analytically decide how and what force modalities to employ in any given situation. This has resulted in significantly less serious physical injuries to officers and citizens and optimal decisions in critical incidents.

Urban search and rescue (USAR) teams may use Artificial Social Intelligence (ASI) agents to aid teams in adapting to dynamic environments, minimize risk, and increase mission assurance and task performance. This thesis underlines the relationship between vocal pitch, stress, and team performance from a recent experiment conducted in a simulated USAR synthetic task environment (STE). The simulated USAR-STE is a platform to use ASI as an advisor to intervene in the human team members’ cognitive processes, which aims to reduce risk to task execution and to maintain team performance. Three heterogeneous and interdependent roles interact via voice communication to search and rescue the victims: (1) medic -rescues victims and identifies the severity of injuries; (2) transporter -moves victims to their designated zone based on injury severity; (3) engineer -removes hazardous material such as rubble from a room or hallway that is blocking passage. Different speeds are associated with each role, such as medic, transporter, and engineer. Medic has a default speed; the transporter has times two over the default speed; the engineer has the slowest speed. In a total of 45 teams, three ASI conditions, manipulated based on ASI intervention communication length and frequency, were analyzed. Each team participated in two 15-min missions. The results indicate a U-shaped relationship between the transporter’s pitch and a change in team performance. A possible explanation for this significance is the task and role design. The transporter may have the most central role in voice communication because when the transporter is under varying levels of workload and stress, and thus voice pitch has a complex relationship with performance for that role.

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.

The present study sought to understand traumatic brain injuries (TBI) impact on executive function (EF) in terms of anticipation amongst individuals with a background in soccer; along with other contributing factors of EF curtailments that inhibit athletes. Within this study 57 participants, with a background in soccer (high school, collegiate, and semi-professional), completed five EF tasks: working memory, cognitive flexibility, attentional control, and anticipation; pattern detection and athletic cues (temporal occlusion). The results of this study concluded that when TBI history, gender, and soccer athletic level are factors, athletes with a soccer level of collegiate and semi-professional had decrements related to pattern detection anticipation; meaning athletes at higher levels had lower average scores on the Brixton Spatial Anticipation Test (BSAT). Additionally, female athletes showed more anticipation decrements related to athletic cues, especially those that are reliant on the initiation of judgment. Overall undiagnosed TBIs and limited understanding on how to approach rehabilitation to mitigate EF decrements, continue to impede individual autonomy amongst athletes. Keywords: Traumatic brain injury, executive function, anticipation, soccer, temporal occlusion, Brixton Spatial Anticipation Test (BSAT), collegiate, semi-professional, pattern detection, rehabilitation

Currently, medical errors are one of the most common causes of death in the United
States (Makary & Daniel, 2016), which includes errors related to look-alike, sound-alike prescription drug name confusion. The use of Tall Man lettering, a text enhancement style that capitalizes the dissimilar portions of words, has been recommended by the US Food and Drug Administration (FDA) as well as the Institute for Safe Medication Practices (ISMP) since 2008 in order to make it easier for healthcare professionals to distinguish and identify two otherwise easily confusable drug names. Research performed on the efficacy of Tall Man lettering and similar text enhancements in successfully differentiating look-alike, sound-alike drug names has thus far been either null or inconclusive. Therefore, it is crucial that further research be conducted in order to provide a path to alleviation by increasing the understanding of the problem, and providing evidence to a clearer solution (Lambert, Schroeder & Galanter, 2015). The objective of the current study was to measure the efficacy of Tall Man Lettering and additional text enhancement strategies through an experiment that replicates some of the previously used methods of research. The current study utilized a repeated measures design. Participants were shown a prime drug name, followed by a brief mask, and then either the same drug name or its confusable drug name pair. They were then asked to identify whether the two drug names presented were identical or different. All of the participants completed a total of four trials representing each condition (regular, Tall Man, Tall Man Bold, highlight) and a practice trial. Overall performance was measured through accuracy and reaction time, which revealed that regular, lowercase text was more effective than any of the other text enhancements, including Tall Man lettering, in quickly and accurately identifying differences in drug names. These results seem to add to the body of inconclusive research on the efficacy of Tall Man lettering and similar text enhancement strategies for reducing drug name confusion. Given the significant impact that drug name confusion errors can have on patient safety, it is imperative that further research be conducted in order to give a more definitive answer of whether text enhancement strategies like Tall Man lettering are helpful in practice.