Psychology Commons^™

The Effect Of Workload On Trust Repair: Testing A New Model Of Trust Repair, Jada Lester

All Theses

Given the importance of trust in human-automation interaction, there has been intense activity in understanding trust repair (Esterwood & Robert, 2021). However, despite the numerous trust repair studies, there is no coherent understanding of when and why trust repair works. A recently proposed theoretical model identified two unique categories of trust repair (central and peripheral) and the factors that might affect their success (Pak & Rovira, 2023). The current study tested a specific hypothesis arising from the theoretical model: variations in workload will affect central trust repair efficacy, but peripheral trust repair will be unaffected by workload. Participants engaged in …

Detection And Assessment Of Targets In Mock Digital Breast Tomosynthesis Images Using Computer-Aided Detection Systems, Katharine Sabo

All Theses

Radiologists use computer-aided detection (CAD) systems to assist with detecting and assessing breast cancers in mammograms, digital breast tomosynthesis (DBT), and other types of breast imaging; however, the usefulness of such automation aids has been debated since their implementation. Initial studies on CAD systems had mixed results, while more recent studies have shown that they can improve diagnostic outcomes (i.e., greater sensitivity and fewer false alarms) and decrease the reading time required for images. Three CAD types are currently in use: binary, analog, and interactive CAD. However, studies rarely explore the differences between the CAD methods. Additionally, recent work has …

Individual Differences In Vulnerability To Phishing, Fake News, And Vishing, Jeff Black

All Theses

Digital deception, such as phishing emails, scam phone calls, and fake news, poses a threat to anyone using digital devices. Research on digital deception often points to individual differences like age, cognitive impulsivity, and digital literacy, but has only investigated different types of digital deception independent of each other. Therefore, it is unclear whether users vulnerable to one type of deception are also vulnerable to others, and why. The present research examined relationships between vulnerability to different types of deception, and how this vulnerability is associated with common individual differences like age, cognitive impulsivity, digital literacy, and gullibility, and exploratory …

Investigating Attention Modeling Differences Between Older And Younger Drivers, Kathryn Baringer

All Theses

As in-vehicle technologies (IVTs) grow in both popularity and complexity, the question of whether these IVTs improve, or hinder, driver performance has gained more attention. The ability to predict when a driver will be looking at the road or a display on the car’s dashboard or center console is crucial to understanding the impact of the recent tech-heavy trend in car designs on safety and the extent to which IVTs compete with the primary driving task for visual resources. The SEEV model of visual attention has been shown to be able to predict the probability of attending an area if …

Barriers And Facilitators In Implementing Multiplatform Remote Patient Monitoring Of Heart Failure Patients In Clinical Settings, Zachary Andrew Reilly

All Theses

Remote patient monitoring (RPM), which provides continuous monitoring of vital signs, has become increasingly utilized in patients with heart failure (HF). As this condition impacts more than 26 million Americans each year, it is important to determine the barriers and facilitators of RPM to both improve patient care and help medical professionals make more informed medical decisions. To determine these barriers and facilitators, our research team partnered with Prisma Health-Upstate to interview healthcare professionals working at Carolina Cardiology Consultants--Greenville, which uses multiple RPM systems to monitor heart failure patients.

The twelve interviews conducted support that healthcare professionals would benefit from …

Investigating The Efficacy Of Mental Health App Features On Depressive Symptoms And Adherence: The Airheart Pilot Study, Stephanie G. Six

All Theses

Mental health apps have shown promise for improving mental health and quality of life in a variety of contexts, such as depression, anxiety, and stress. However, a limited amount of research aimed at understanding how app features and design can optimize the therapeutic benefits and adherence of such mental health apps exists. Consequently, the primary purpose of the current pilot study is to investigate the effect avatar customization on depressive symptoms, adherence, and motivation to use a mental health app. Furthermore, the secondary aim of the current pilot study is to examine whether specific app features, including journaling, mood tracking, …