Human Factors Psychology Commons^™

Personality Meets Possibility: Exploring Cognitive Engagement For Older Adults In A Changing World, Kalvry A. Cooper

All Theses

Engagement in cognitively stimulating activities (CSAs) is critical for maintaining cognitive health in older adults. While existing research has examined the benefits of CSAs, less is known about how factors such as personality traits, education, and technology proficiency influence engagement, especially during the COVID-19 pandemic. This study aims to explore older adults' participation in online versus in-person CSAs during the pandemic and identify key predictors of engagement. Using secondary data from the EFIT and ENACT studies, this research investigates how variables like marital status, education, personality traits, and mobile device proficiency shape older adults' decisions to engage in online or …

Exploring Augmented Reality Non-Driving-Related-Task Locations To Enhance Driver Situation Awareness In Conditionally Automated Vehicles, Tyler Riley

All Theses

With the approval of conditionally automated vehicles, or SAE Level 3 automated vehicles, drivers can now engage in non-driving related tasks (NDRTs) during automation. However, conditionally automated vehicles require drivers to resume vehicle control when the system prompts them, and the decreased situation awareness due to NDRT engagement may impact drivers’ takeover performance. This thesis investigates the prospective use of wearable augmented reality (AR) glasses by conditionally automated vehicle drivers to engage in visual NDRT. Specifically, this study examined how NDRT display location affects drivers’ situation awareness in a driving simulation experiment with 60 participants. Three NDRT display locations were …

Decision Field Theory For Human-Multi-Robot Collaboration: Human-Centric Decision-Making For Multi-Robot Systems, Ryan Mbagna Nanko

All Theses

At first glance, choosing between an apple and an orange appears to be a straightforward matter of personal taste; however, this seemingly simple preference opens a window into the multifaceted world of decision-making, revealing the complex interplay of cognitive processes, psychological, and behavioral-economic principles that guide our choices \cite{bandyopadhyayRoleAffectDecision2013}. By unpacking these nuanced perspectives, we uncover insights that can drive more effective human-robot interaction and collaboration.

Modeling human cognition requires understanding the evolution of choice utility and the influence of emotions. Decision Field Theory (DFT) stands out by capturing the fluctuating nature in human preferences over time, explaining why choices …

Investigating The Influence Of Animation And Conversational Virtual Agent Features On The Usability And User Experience Of The Smartphone Mental Health Application “Airheart”, Victoria Hill

All Theses

Rates of depression in college students have skyrocketed since the beginning of the COVID-19 pandemic, reflecting a need for effective, accessible mental health interventions. One potential intervention includes mental health (MHealth) apps. Virtual agents within MHealth apps may represent one way to provide human-like connection and therapeutic benefits. Despite the abundance of MHealth apps currently available for public use, few include virtual agents. Moreover, it is unclear which virtual agent features within mental health apps may be particularly beneficial in providing a positive user experience. The current study sought to evaluate how features of virtual agents, such as animation and …

Let's Get The Ball Rolling: Dynamic Affordances For An Object Retrieval Task In Virtual Reality, Elenah Rosopa

All Theses

Virtual reality (VR) is widely used in domains such as training, rehabilitation, entertainment, and gaming. For users to perceive affordances in VR, the virtual environment must provide sufficient perceptual information. Recent studies have focused on affordance perception—individuals' ability to discern action-relevant information—primarily in static environments. This study explored dynamic affordances by manipulating the size, speed, and gap width of a virtual target. Participants performed an object retrieval task, and performance was measured by the percentage of targets retrieved and the percentage of errors on each trial. Participants were more successful in retrieving larger targets, contrary to the expectation that larger …

Comparing The Effects Of Traffic Speed And Driver Assistance On Different Age Groups: Mixed Methods User Testing, Alan Mintz

All Theses

Although much research exists investigating preferences towards transportation and driver assistance technologies, there is a gap in the literature related to taking a mixed methods approach investigating age-related differences in traffic management behaviors. Previous studies have established that older adults tend to avoid higher risk traffic situations more often than younger adults. This research builds on existing work that compares different aged participants simulated driving behaviors, self-reported workload, and interview responses. Benefits from this study include adding to our understanding of gap maintenance behavior, perceived workload at varying traffic speeds, and preferences among younger and older drivers towards offloading driving …

The Effects Of Individual Differences In Working Memory On Trust Recovery, Connie Ku

All Theses

While trust repair is an active area of inquiry, most technology does not have the ability to initiate trust repair. Thus, it is crucial to examine how unaided trust recovery occurs and the factors that could influence it. Prior research has highlighted the potential importance of individual difference factors such as working memory capacity (e.g., Rovira, Pak, McLaughlin, 2017). However, the specific dynamics of unaided trust recovery and how they are influenced by individual differences are unknown. This study examined how working memory (WM) was related to the process of unaided trust recovery. In addition, this study also examined the …

The Relationship Between Aging Perceptions And Cognition Among Older Adults: A Cross-Sectional Study Using The Enact And Efit Studies, Ava Mcvey

All Theses

Maintaining cognition is critical to overall health and independence. While lifestyle predictors (e.g., cognitive engagement, social engagement, physical activity) of cognition have been established in current research, the relationship of one’s perceptions of aging and cognition have been less thoroughly investigated. This thesis cross-sectionally explores the relationships between self-perceptions of aging (SPA; including awareness of age-related change and expectations regarding aging) and cognition, including performance-based measures of executive function (Matrix Reasoning, Letter/Number Switching, Digit Symbol, Trails A & B, Visual Paired Associates) and self-reported cognition (Cognitive Self Report Questionnaire). Participants include community dwelling older adults from two studies: the Elucidating …

Improving Pedestrian Conspicuity At Night: Testing The Efficacy Of A Video-Based Educational Intervention, Morgan Mccree

All Theses

The majority of fatal crashes involving pedestrians occur at night. Insufficient conspicuity has been implicated as a causal factor in these crashes, and there is a critical need for innovative strategies to increase the nighttime conspicuity of pedestrians. This experiment investigated the efficacy of an 11-minute educational video aimed to teach road users about critical and relevant visual perception concepts (e.g., contrast, retroreflectivity, biological motion) that impact nighttime conspicuity. Fifty-four college students were randomly assigned to either watch the video (intervention; n=27) or not (control; n=27). Each participant provided quantitative judgments regarding the nighttime visibility of a pedestrian on an …

Exploring Healthcare Chatbot Information Presentation: Applying Hierarchical Bayesian Regression And Inductive Thematic Analysis In A Mixed Methods Study, Samuel Nelson Koscelny

All Theses

High blood pressure, also known as hypertension, significantly increases the risk of heart disease and stroke, which are leading causes of death in the United States. While contributing to over 691,000 deaths in 2021 alone in the United States (U.S.), it also imposes immense economic burden on the healthcare system, costing approximately $131 billion annually. One way to address this issue is for increased self-care behaviors and medication adherence, both of which require sufficient health literacy. Despite the importance of health literacy, 90% of U.S. adults struggle with health-related subjects. Overcoming the issues associated with health literacy requires addressing the …

Understanding The Challenges To Robotic-Assisted Surgery Adoption From The Perspectives Of The Human-Robot Interaction, Built Environment, And Training, Patrick A. Fuller

All Theses

Introduction: Robotic-assisted surgery (RAS) is a form of minimally invasive surgery that is increasing in both its adoption and development due to many perceived advantages such as tremor reduction and motion scaling. However, RAS is still relatively new and there are a variety of novel barriers and challenges to the adoption of these platforms. Objectives: This study aims to understand how the integration of RAS platforms impacts the interactions and outcomes of interactions between surgical team members to explore the barriers from three aspects critical to facilitating Robotic-assisted-surgery (RAS) adoption: the human-robotic interaction, built environment, and RAS training. Future …

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 …

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 …

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 …

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 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 …

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, …