Experimental Analysis of Behavior Commons^™

Investigating The Transfer Of Learning, Psychological, And Neural Effects In Immersive Virtual Reality, Logan Taylor Markwell

Doctoral Dissertations

Achieving mastery or expertise requires a substantial amount of quality practice. Recent technological developments have introduced a novel approach to practice, virtual reality. Specifically, virtual reality offers a low-cost, customizable opportunity to practice while minimizing the risk of the individual. Given that some types of practice may not lead to the acquisition of a motor skill, or worse, lead to detriments of that skill, understanding the developing science of motor behavior in relation to virtual reality is imperative. The following literature review will begin with a brief historical account of the evolution of virtual reality. Next, some terms of virtual …

Attention And Task Engagement During Automated Driving, James Richard Unverricht

Psychology Theses & Dissertations

Many young drivers suffer fatal crashes each year in the United States at a rate approximately three times greater than more experienced drivers. Automated driving systems may serve to mitigate young drivers high crash rates but remain underexplored in research. This dissertation project examined the effects of levels of automation and interestingness of auditory clips on latent hazard anticipation in young drivers during simulated driving. Participants drove a vehicle at varying levels of vehicle automation (SAE Level 0, 2, or 3) in simulated scenarios, each containing a latent hazard event during which a boring, neutral, or interesting auditory clip was …

Addressing Vaccine Hesitancy Through A Trust In Science Training Intervention, Nathan Dumessa

All Dissertations

Vaccine hesitancy is an ongoing public health issue that has been underscored by the COVID-19 pandemic and has implications for future pandemics and other vaccines. This research aimed to understand and address the factors associated with hesitancy. Study 1 was a correlational study that measured several factors that could predict vaccine hesitancy among Black and White participants recruited online (n = 364). Findings suggest that trust in science was the strongest predictor of attitudes towards the vaccine’s safety and effectiveness, which in turn strongly predicted vaccine hesitancy. Study 1 established the direct and indirect relationships between several predictors of …

Food Related Intrusive Thoughts: A Pilot Study, Hoor Ul Ain

Honors Theses

Food related intrusive thoughts (FRITs), a type of intrusive thoughts, might be associated with greater frequency of food intake, greater anxiety and distress, and negative affect in general. However, little is known about the experience of FRITs in the moment. I hypothesized that (1) momentary food related intrusive thoughts or FRITs would be positively related to momentary negative affect and (2) that time since eating will moderate this relationship such that people with more time since eating will show a stronger positive relationship between FRITs and negative affect. These relationships were not found to be significant; however, there was a …

Investigating Collaborative Explainable Ai (Cxai)/Social Forum As An Explainable Ai (Xai) Method In Autonomous Driving (Ad), Tauseef Ibne Mamun

Dissertations, Master's Theses and Master's Reports

Explainable AI (XAI) systems primarily focus on algorithms, integrating additional information into AI decisions and classifications to enhance user or developer comprehension of the system's behavior. These systems often incorporate untested concepts of explainability, lacking grounding in the cognitive and educational psychology literature (S. T. Mueller et al., 2021). Consequently, their effectiveness may be limited, as they may address problems that real users don't encounter or provide information that users do not seek.

In contrast, an alternative approach called Collaborative XAI (CXAI), as proposed by S. Mueller et al (2021), emphasizes generating explanations without relying solely on algorithms. CXAI centers …