Human Factors Psychology Commons^™

Enhancing Undergraduate Learning In Physics: The Effects Of Ai-Assisted And Ai-Guided Instruction On Knowledge, Self-Efficacy, And Satisfaction, Stephen Woods

Doctoral Dissertations and Master's Theses

Generative artificial intelligence (AI) tools such as large language models are increasingly used for self-directed learning, yet there is limited experimental evidence on whether they improve learning outcomes and whether theory-informed guidance adds value beyond AI use alone. Prior literature suggests that effective learning depends not only on access to information, but also on how instruction supports attention, working memory, long-term memory, and cognitive load, while also fostering motivational processes such as self-efficacy. Individual differences such as Need for Cognition may also shape how learners engage with cognitively demanding instructional tools such as AI.

The present study examined how different …

Designing With Foresight: Premortem And Human-Centered Evaluation Of Emerging Technologies, Anusha Kannan

Dissertations, Master's Theses and Master's Reports

Artificial intelligence is increasingly embedded in safety-critical systems, including transportation, where people must make fast decisions under uncertainty and high risk. As AI takes on a larger role in supporting human judgment, researchers and designers must evaluate more than just its technical performance, they must ask whether people can understand the system and use it effectively in high-risk settings.

This dissertation presents two distinct evaluation methodologies. First, the Human-Centered Evaluation, examines how intelligent in-vehicle alert systems influence driver decision behavior across two experiments. In Experiment 1 (n=24) and Experiment 2 (n=26), participants completed a driving simulator study in which our …

Teamwork And Artificial Intelligence (Ai) : Examining The Effects Of Teammate Identity, Deception, And Ai Literacy On Team Dynamics And Performance In Human-Human Vs. Human-Ai Teams, Jenna Korentsides

Doctoral Dissertations and Master's Theses

As artificial intelligence (AI) continues to be integrated into collaborative work environments, understanding how humans interact with AI teammates is increasingly important. This study examined how people’s beliefs about who they are working with (whether a teammate is human or AI) can influence teamwork outcomes. Specifically, we explored how perceived teammate identity affects task performance and team experience, with a focus on trust and communication as potential mediators, and AI literacy (familiarity and comfort with AI) as a moderator. Participants completed a series of timed, collaborative problem-solving tasks using a bomb defusal simulation. Each participant worked with both a human …

User Acceptance Of Shared Autonomous Vehicles, Haotian Su

All Dissertations

A dissertation is proposed to explore user acceptance of shared autonomous vehicles (SAVs). SAVs are facing limited user acceptance. To systematically tackle the user acceptance barriers of SAVs, the main problem can be disintegrated into two sub-problems of user acceptance of autonomous vehicles (AVs) and ridesharing. The comfort of the ride experience in AVs is a determinant of user acceptance. Understanding the influential factors and developing methodologies to quantify human comfort in AVs are essential to facilitating future research to improve human comfort in AVs. The current pooled rideshare (PR) service closely resembles the anticipated future of SAVs. Understanding why …

Leveraging Physiological Signal Activity And Self-Report Data To Assess Students’ Trust In “My Friendly Mind” App And Its Impact On Their Mental Health Knowledge: A Mixed-Method Phase 1 Clinical Trial Focusing On Depression And Attention Deficit Hyperactivity Disorder From Human Factors Standpoint., Yeganeh Shahsavar

Graduate Theses, Dissertations, and Problem Reports (ETD)

Mental health issues have become a significant global public health concern, especially among younger generations. The growing number of mental health challenges, combined with limited access to quality care, makes the problem even worse. Studies reveal that over 70% of individuals worldwide in need of mental health services do not receive appropriate care. Digital health technologies have the potential to enhance mental health services by making them more accessible and affordable. Despite the increasing popularity of mental health mobile applications (mHealth), there remains a lack of robust evidence of their effectiveness and the level of user trust, particularly in areas …

Study On Pilot Response Time To Reject Takeoff With One Engine Inoperative (Oei), Lydia Savitri Scrivens

Theses and Dissertations

The FAA regulation 14 CFR § 25.109 defines accelerate-stop testing for transport-category multiengine aircraft. It specifies that testing must include 2-second distance equivalent at engine failure speed VEF to simulate time taken for pilot to reject takeoff. However, pilot response time is widely debated. The purpose of this study is to determine pilot response time in rejecting a takeoff due to the failure of one engine during the takeoff roll.

Seven multiengine rated pilots participated in this study, which was conducted in a Baron 58 in the X-Plane 12 flight simulator. During the recruiting process, test subject candidates provided their …

An Analysis Of Helicopter Emergency Medical Services And Human Error Contributors To Accidents, Paige Lawton

Doctoral Dissertations and Master's Theses

Helicopter Emergency Medical Services (HEMS) is a growing industry that provides a vital service to transport critically ill or injured patients to healthcare facilities. This growth has come with an increase in rates of HEMS crashes and fatalities. Certain types of events commonly precede HEMS accidents such as continued flight into deteriorating weather conditions, night, and self-induced pressure, to name a few. Given that these causes and contributing factors can be seen time and again within HEMS accidents, the need arises for additional analysis of the human factors that play a role in accidents. This study addresses this need through …

Up In The Air: A Human Factors Approach To Enhancing Evtol Passenger Experience, Brandon D. Dreslin, Michael C. Falanga, Juksana Mai Ngam, Alex Chaparro, Barbara S. Chaparro

National Training Aircraft Symposium (NTAS)

Although electric vertical take-off and landing (eVTOL) vehicles are an emerging mode of transportation, current research indicates that the general public may be unwilling to ride in them due to unfamiliarity and uncertainty about their trust in the technology. This research aimed to better understand potential passenger concerns as well as the factors related to eVTOL design and ride journey that contribute to people’s willingness to ride in them. Understanding these human factors considerations are crucial for addressing issues surrounding the end-to-end passenger experience. Passenger safety, comfort, and acceptance were identified as important areas that influence users’ experience. These areas …

Using Natural Language Processing To Identify Mental Health Indicators In Aviation Voluntary Safety Reports, Michael Sawyer, Katherine Berry, Amelia Kinsella, R Jordan Hinson, Edward Bynum

National Training Aircraft Symposium (NTAS)

Voluntary Safety Reporting Programs (VSRPs) are a critical tool in the aviation industry for monitoring safety issues observed by the frontline workforce. While VSRPs primarily focus on operational safety, report narratives often describe factors such as fatigue, workload, culture, staffing, and health, directly or indirectly impacting mental health. These reports can provide individual and organizational insights into aviation personnel's physical and psychological well-being. This poster introduces the AVIation Analytic Neural network for Safety events (AVIAN-S) model as a potential tool to extract and monitor these insights. AVIAN-S is a novel machine-learning model that leverages natural language processing (NLP) to analyze …

Human-Ai Teams In Aviation: Considerations From Human Factors And Team Science, Jenna Korentsides, Joseph R. Keebler, Crystal M. Fausett, Sabina M. Patel, Elizabeth H. Lazzara

Journal of Aviation/Aerospace Education & Research

Artificial Intelligence (AI) has transformed the way human-computer interaction (HCI) teams can collaborate and coordinate in various domains, including aviation and crew resource management (CRM). AI's transformative capabilities enhance teamwork, efficiency, and safety, particularly in risk management. AI's ability to process vast amounts of data and provide real-time insights enables informed decision-making and automation of repetitive tasks in aviation. By combining the strengths of AI and humans, outlined in our modified version of the ‘HABA-MABA’ framework, a dynamic teamwork relationship emerges, provided roles are successfully allocated. AI systems are able to act as intelligent assistants, offering timely recommendations, fostering effective …

Language As A Factor In Aviation Accidents And Serious Incidents: A Handbook For Accident Investigators Ed. 3, Elizabeth Mathews, Joan Carson, Anthony Brickhouse, Enrique Valdes

Handbooks

In an increasingly multicultural and multilingual aviation industry, it is important that accident investigators understand the complex role of language in maintaining safe operations. This Handbook supports investigators to systematically identify language factors in aviation accidents and serious incidents.

The Impact Of First-Person Perspective Text And Images On Drivers’ Comprehension, Learning Judgments, Attitudes, And Intentions Related To Safe Road-Sharing Behaviors, Alexandra Bryson Proaps

Psychology Theses & Dissertations

Drivers and cyclists lack an alignment of road sharing knowledge, attitudes, and expectations, resulting in unnecessary fatalities. Educational countermeasures need to present information that captures drivers’ interest by being personally relevant, facilitate elaboration and synthesis of new information with existing knowledge, and change attitudes, intentions, and behavior. Well-documented health-related communication methods were employed to determine their effectiveness in a transportation domain. Health countermeasure designers use first-person perspective to improve narrative instruction outcomes, based on the Elaboration Likelihood Model (ELM; Petty & Cacioppo, 1986). Exploring narrative perspective-taking as a design tool requires the integration of multiple disciplines.

Our design case stems …

Assessing Unstabilized Approaches: A Phenomenology Study Of The Risk Perceptions And Decision-Making Thought Process Of General Aviation Pilots., Shlok Misra, Jorge L. D. Albelo Ph.D., Victor Fraticelli Rivera

Publications

The Federal Aviation Administration emphasized the need to focus on and develop human factors training as early as 1993 in official Human Factors Policy Order 9550.8. The purpose of this study was to conduct a detailed qualitative phenomenological analysis of the risk perceptions and decision-making model of collegiate aviation pilots for unstabilized approaches. The study focused on understanding how collegiate aviation pilots perceive unstable approaches, the risk associated with unstable approaches, and the factors that trigger pilots to execute a go-around. The International Air Transportation Association warns that continuing an unstabilized approach can lead to runway excursions, hard landings causing …

Language As A Factor In Aviation Accidents And Serious Incidents: A Handbook For Accident Investigators Ed. 2, Elizabeth Mathews, Anthony T. Brickhouse, Joan Carson Ph.D., Enrique Valdes

Handbooks

The purpose of this handbook is to support accident investigators in the identification and consideration of possible language factors in aviation accidents and serious incidents. This handbook provides guidance, background information, and tools that will assist accident investigators in conducting a systematic review of possible language factors.

Predicting Inattentional Blindness With Pupillary Response In A Simulated Flight Task, Kellie D. Kennedy

Psychology Theses & Dissertations

Inattentional blindness (IB) is the failure of observers to notice the presence of a clearly viewable but unexpected visual event when attentional resources are diverted elsewhere. Knowing when an operator is unable to respond or detect an unexpected event may help improve safety during task performance. Unfortunately, it is difficult to predict when such failures might occur. The current study was a secondary data analysis of data collected in the Human and Autonomous Vehicle Systems Laboratory at NASA Langley Research Center. Specifically, 60 subjects (29 male, with normal or corrected-to-normal vision, mean age of 34.5 years (SD = 13.3) were …

Assessing Cognitive Processing And Human Factors Challenges In Nextgen Air Traffic Control Tower Team Operations, Mark D. Miller, Sam Holley, Bettina Mrusek, Linda Weiland

Publications

Previous research of Terminal Radar Control Facilities and Standard Terminal Automation Replacement Systems interactions by the authors examined how combined NextGen digitized technology affects air traffic controller functions. Applying their updated SHELL model, human factors implications on the Tower Team before and after implementing NextGen technology were examined, focusing on cognitive loading and automated functions affecting each team member. A survey examined where cognitive difficulties occur when controllers are responsible for multiple screen views, remote airfields or helipads, and digitized cameras and blind spots. Scanning challenges were identified where local traffic, ground operations, and data converge onto one screen, and …

The Effect Of Task Interruptions And Reliable Cues On Detection Changes Within Dynamic Scenes, Kimberly N. Perry

Psychology Theses & Dissertations

Interruptions are a common problem for attention and pose a threat to visual task performance. The Memory for Goals (MFG) theory suggests that strongly and accurately encoded cues can assist the ability to resume a primary task after an interruption (Altmann & Trafton, 2002). Encoded cues can undergo an activation decay during an interruption and become forgotten. Currently, there has been limited research on how visual interruptions affect cued recall within a dynamic environment. Thus, the goal of the present study was to examine the effect of cuing and task interruptions on change detection within dynamic scenes. Undergraduate students watched …

Collegiate Aviation Pilots: Analyses Of Fatigue Related Decision-Making Scenarios, Julius Keller, Flavio Coimbra Mendonca Mr, Jason E. Cutter

International Journal of Aviation, Aeronautics, and Aerospace

According to Dawson and McCulloch (2005), indicating factors for pilot fatigue may be difficult to ascertain. However, fatigue is a probable cause in 15%-20% of all aircraft accidents (Akerstedt, 2000). It may be assumed fatigue has been important latent condition for many of the general aviation incidents and or accidents but not necessarily identified as a probable cause. Events that barely missed a detrimental situation due to fatigue, often go unnoticed and or unreported. Furthermore, fatigue can influence the quality of flight instruction and flight operations overall. The purpose of the current paper was to examine fatigue related decision-making responses …

The Tracer Method: Don't Blink Or You Might Miss It. A Novel Methodology Combining Cognitive Task Analysis And Eye Tracking, Kaitlyn Marie Roose

Dissertations, Master's Theses and Master's Reports

This thesis describes the development and first demonstration of a new Human Factors method, The Tracer Method, which is a combination of Cognitive Task Analysis (CTA) and Eye Tracking. The study evaluated whether the two methods together produce new and different information than either method alone could provide. The method was tested using a video game, Overwatch, a dynamic, complex, and multiplayer game. The evaluation included: 1. Examining both in the same context (game), 2. Establishing unique contributions of each method alone, and 3. Evaluating overlapping information. Results identified some overlap between the two methods that provided some cross-validation …

Human Factors, Ergonomics, And Human Factors Engineering: An Analysis Of Definitions, Deborah M. Licht, Donald J. Polzella, Kenneth R. Boff

Psychology Faculty Publications

This report was prepared in response to a request by the Human Factors Committee of the National Research Council to aid its deliberations regarding a standardized definition of human factors. Though many variations of definitions abound, a formally endorsed unified definition of the field does not exist. CSERIAC's approach to this query was to compile and analyze definitions of human factors (and related terms) from a range of key resource materials and present them in a manner to expedite the Committee's consideration of a unified definition. Subsequent to a review of the human factors literature, we collected definitions, sorted and …

The Assessment Of Software Usability [Abstract], David W. Biers, Samuel M. Bower, Frank J. Dapolito, Donald J. Polzella

Psychology Faculty Publications

The University of Dayton has been exploring the feasibility of establishing a software usability testing laboratory. Usability refers to the ease-of-use of a system, and usability testing is performed to ensure that systems meet the criteria established to determine ease of use. Usability assessment involves both the measurement of user performance and user satisfaction.