Cognitive Psychology Commons^™

Exiting Commercial Sexual Exploitation, Jeanne L. Allert, Sherri L. Wyatt

Dignity: A Journal of Analysis of Exploitation and Violence

This study presents one of the largest qualitative samples of exited female survivors of commercial sexual exploitation in the United States to date. One hundred and eighty-nine female survivors participated in a national survey. The participants described their motivations for exiting commercial sexual exploitation, the pathways they followed, the forces that hindered their exit and increased their recidivism, and the assistance they received that ensured a permanent exit. Some of the findings challenge popular narratives on recidivism rates and what keeps women in exploitation, revealing complex relational, behavioral, economic, and systemic influences. Participants spoke about the unanticipated value of incarceration, …

Empathy On Trial: The Role Of Neuroscience And Communication In Sexual Violence Jurisprudence, Samantha M. Gonzales

Honors Program Theses and Research Projects

Sexual violence remains a contentious public safety and legal challenge, which has become further complicated by the tension between supporting victim-survivors and safeguarding the falsely accused. False accusations, though still well below the numbers of rightly accused, are experiencing a rise in popularity given recent (past ten years) political climates. This thesis examines how communication theory, neuroscience, and law intersect in molding perceptions of truth, culpability, and justice in sexual violence cases; while also examining the intersectionality of those fields in addressing the candor of allegations, the rate of recidivism, and quality of public health and safety. The most prominent …

Physiological Response To Concealed Information In A Mock-Crime Paradigm​, Ezra Koenigsberg, Tamya Mchenry, Jasmine Manzana, Taylor Powell, Samantha Jackson

Science University Research Symposium (SURS)

The Concealed Information Test (CIT), based on Lykken’s guilty knowledge framework, measures physiological responses when individuals recognize crime-related details compared to neutral alternatives. Previous studies show that variations in stimulus presentation enhance the CIT’s accuracy, especially through changes in electrodermal activity and heart rate. However, few studies have tested whether a Qualtrics-based mock-crime version of the CIT can replicate these physiological patterns. This study addresses that gap by adapting the CIT for a digital research environment. The goal is to determine whether participants show greater physiological arousal—measured through skin conductance, heart rate, and respiration—when exposed to crime-related “critical” stimuli compared …

Unraveling The Lullabies Of Learning: Exploring The Role Of Individual Components Of Infant-Directed Speech In Language Learning, Stephanie L. Lopez

LSU Doctoral Dissertations

Children learn language more effectively from infant-directed speech (IDS) than adult-directed speech (ADS). Three experiments were run (a pilot and two full experiments) testing the effects of pitch and pitch variability on segmenting a target word out of the speech stream and then associating it to an object. Visual prosody via eyebrow movements and lip contours were added as additional cues after the Pilot Study. Additional factors included after the Pilot Study were shortened sentences from 10 syllables each to seven syllables each, shortened target words from three syllables to two syllables, consistent syllable onset of target words, and two …

Unveiling The Precision Of Physiological Signals In Prediction Error During Fear Learning: Insights From Associative Strength And Generalized Uncertainty, Haja H. Jallo-Jamboria

Dissertations, Theses, and Capstone Projects

Prediction error (PE) is the discrepancy between expected and actual outcomes. It is a central mechanism in associative learning particularly within fear-conditioning paradigms. Identifying physiological markers of PE in aversive contexts has important implications for refining learning models and enhancing clinical interventions for anxiety-related disorders. This study examined skin conductance response (SCR) as a potential physiological index of PE by analyzing both anticipatory and omission-related responses across multiple learning phases. Participants completed a Pavlovian fear-conditioning paradigm in which two conditioned stimuli (CS+) signaled threat at different reinforcement probabilities: CS+100 (certain threat) and CS+50 (uncertain threat), alongside a non-reinforced safety cue …

Using Machine Learning Methods To Evaluate Undergraduates’ Executive Function In The Context Of Game-Based Measurement, Ming Chen

Dissertations, Theses, and Capstone Projects

Traditional performance-based measurements have faced criticism due to their potential to induce test fatigue and their limited ecological validity. In contrast, game-based assessments have demonstrated the capacity to engage participants effectively in tests and enhance ecological validity by replicating real-world scenarios. Nevertheless, conventional statistical approaches may prove insufficient in capturing the intricate, non-linear associations between participants' gaming performance and their cognitive capabilities. Leveraging the potential of machine learning (ML) techniques, which can model complex problems, offers a promising avenue for estimating students' performance in video games. This dissertation aims to explore various ML methods for the validation of three game-based …

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 …

Director, Military Cyber Institute, Joseph Schafer

Military Cyber Affairs

No abstract provided.

Throughput Of Ascon Compared With Popular Iot Encryption Algorithms, Mitchel R. Harvey (Ryan), Andrew M. Kaiser, Garrett W. Hoiness

Military Cyber Affairs

No abstract provided.

Anomaly Detection Of Network Layer Attacks Against Cyber Physical Systems Using Machine Learning And Deep Learning Techniques, James Alger, Michael Tu

Military Cyber Affairs

This research paper presents the analysis of using machine learning and deep learning algorithms on detecting anomalous network traffic in Cyber-Physical Systems (CPS). Using a real PLC CPS-based system, normal and anomalous network traffic will be captured using Wireshark. The research analyzes a DDoS attack. The focus of the research is to identify the most effective feature combinations and evaluate them on ML and DL models. The emphasis is on enhancing detection strategies rather than exploiting device vulnerabilities. The detection of network attacks often involves handling a vast array of high-level features. Previous studies (Li & Chasaki, 2022) apply machine …

Characterizing Caldera’S Cyber Attack Emulation Capabilities, Caleb Chang, Matthew Cao, Kenyou Teoh, Ekzhin Ear, Shouhuai Xu

Military Cyber Affairs

Autonomous cyber attack emulation can aid cyber defenders to identify and remediate cyber risks. MITRE’s Caldera software is the state-of-the-practice for automated attack emulation. Yet, it has not been systematically analyzed, putting its performance and effectiveness into question. This paper systematically characterizes Caldera’s architecture, abilities and use cases, and assesses its strengths and weaknesses. It draws useful insights, such as: Caldera excels in stealthy access and execution tactics to pilfer data against Windows operating systems. It also discusses two directions for Caldera improvement: module-level automation and end-to-end attack emulation.

The Digital Battlefield: Safeguarding Military Drones Against Cyberattacks, Jason Ashong, Arun Venkitanarayanan, Benjamin Yankson

Military Cyber Affairs

The Internet of Battlefield Things (IoBT) is an advanced network of interconnected devices that significantly enhance military operations through real-time data exchange and situational awareness. While IoBT offers tactical advantages like improved surveillance, reconnaissance, and operational effectiveness, it also introduces substantial cybersecurity risks. Adversaries can exploit vulnerabilities within these networks, potentially compromising mission integrity and national security. This research examines the cybersecurity measures of commercial drone controllers and their correlation with military devices. It aims to enhance future vulnerability assessments with advanced tools and approaches to better secure critical military operations. The study highlights the need for robust security architectures …

Using Blockchain Technology To Help Secure America's Defense Critical Infrastructure, Vimal Buck, Aerin Krebs, Brynn Hillard, Jakob Gerha, Joseph Lutma, Srikar Maduposu, Ted Allen

Military Cyber Affairs

Critical water infrastructure in the United States faces increasing cybersecurity threats from state-sponsored actors, with potentially devastating consequences for national security, economic stability, and public health. (Cybersecurity and Infrastructure Security Agency, 2025). This infrastructure supports defense critical assets and is actively being targeted by various state-sponsored hacking groups, which poses a major concern for civilians and military alike. K. Herath (personal communication, February 24, 2025) reported being aware of two attacks on Ohio water systems during his tenure as Cybersecurity Strategic Advisor to Ohio Governor Mike DeWine.

Water is essential to everyday life and defense and presents as a high-value …

Network And Multipath Traceroute Visualization, Cameron Makowski

Military Cyber Affairs

TraceCam introduces a new paradigm in network path analysis, leveraging GPU-accelerated WebGL visualization, advanced traceroute integrations, and AI-driven insights to transform complex routing data into actionable intelligence. Early prototypes have demonstrated significant improvements in performance, clarity, and multi-path discovery, overcoming traditional limitations in traceroute analysis. By incorporating retrieval-augmented language models and enriched metadata sources like IPinfo.io, TraceCam enables automated anomaly detection, contextual explanations, and rapid root-cause analysis, enhancing operational efficiency. The platform’s architecture ensures scalability and adaptability, supporting deeper investigations and real-time situational awareness. Future development will focus on clustering-based anomaly detection, expanded geographic visualizations, and enhanced AI-generated analysis to …

Quantifying Adversary Military Forces’ Susceptibility To Cognitive Attacks, Bonnie Rushing, Cole Nelson, Shouhuai Xu, Christofer “Raven” O’Keefe, Olga Karpoyan

Military Cyber Affairs

This paper introduces a method to quantify international populations’ susceptibility to cyber cognitive attacks using press freedom and media trust metrics. We present the Cognitive Influence Calculator, a tool that estimates susceptibility (𝑆) based on Press Freedom Scores (PFS) and media trust levels. Findings show that while authoritarian regimes are harder to reach, successful cognitive attacks have greater impacts due to higher trust in state-controlled narratives. Using U.S. wargaming data and international trust metrics, we compute susceptibility scores for the U.S., Russia, China, Iran, and North Korea. Results show an inverse relationship between PFS and media susceptibility, with local/allied …

Forward, Amy Hamilton

Military Cyber Affairs

No abstract provided.

Understanding Russia’S Cyber Policies, Strategies, And Doctrines, Bryan Hancock, Hanh Nguyen, Olga Karpoyan, Ekzhin Ear, Shouhuai Xu

Military Cyber Affairs

This study analyzes the strengths and weaknesses of Russia’s cyber policies, strategies, and doctrines through a systematic set of attributes, leading to key insights: (i) Russia has proactively adapted its cyber policies, strategies, and doctrines to its evolving environment; (ii) Russia actively conducts cognitive warfare, but remains equally vulnerable to it; and (iii) Russia’s cyber posture faces significant challenges, including a limited technological base, shortage of skilled personnel, and restrictive approach to information control, all of which undermine the effectiveness of its strategies. These insights offer valuable implications for US Cyber Command and the Department of Defense.

Characterizing Cyberattacks Against Operational Technology Infrastructures Through The Lens Of Attack Flows, Sherman Kettner, Caleb Chang, Ekzhin Ear, Shouhuai Xu

Military Cyber Affairs

Operational Technology (OT) infrastructures play a critical role in modern society and economy. However, their increasing connectivity with public networks such as the Internet has made them vulnerable to cyberattacks, much like traditional Information Technology (IT) systems. In particular, cyberattacks against OT infrastructures remain relatively underexplored and little understood. In this paper, we aim to deepen our understanding of cyberattacks against OT infrastructures. For this purpose, we propose a methodology, including novel cybersecurity metrics to analyze the attack flows of these attacks in an end-to-end fashion, which allows us to draw useful insights. We demonstrate the utility of the methodology …

Reason And All My Senses: Surveying The Post Enlightenment Frame Of Reason Through Contemporary Philosophy, Cognitive Psychology, And Cognitive Linguistics, Joshua T. Lowe Rev. Dr.

Doctor of Philosophy Dissertation

This dissertation argues that Christian theology and practice are aided and enriched by a more complete understanding of reason by surveying recent studies and views in theology, philosophy, cognitive psychology, and cognitive linguistics. Since the Enlightenment, Christian theology has assumed widely the Enlightenment model of human reason as ideally acontextual, that is, free from constraints of contexts, and therefore universal, that is, applicable in all contexts. Recent developments from a variety of perspectives challenge this model of rationality. Some challenge the acontextualism of the Enlightenment understanding by showing how it arose from and depends on a context, and that context …

Storytelling: A Natural Mnemonic, Hailey Stephens

Honors Theses

The present study explored the effectiveness of storytelling as a teaching method in enhancing memory performance for educational material compared to traditional lecture-based instruction. Memory plays a crucial role in learning, and effective teaching strategies should facilitate information encoding, retention, and retrieval. Storytelling, an ancient yet often overlooked pedagogical tool, has been shown to engage students emotionally and cognitively, making presented content more memorable. In the present study, participants were randomly assigned to either a storytelling-based instruction group or a traditional lecture group. Both groups received instruction on the ASSURE Model and were tested immediately after the lesson and again …

Transforming Criminal Justice Leadership With A Servant-Oriented Trauma-Informed Approach, Janina Cich

Forensic Scholars Today

This paper explores the transformative potential of a criminal justice leadership model by integrating principles of servant leadership, emotional intelligence, and trauma-informed care, focusing on rebuilding community trust, improving officer well-being, and fostering equitable, empathetic public service. This transformative module emphasizes humility, accountability, and emotional awareness to address the deep-rooted effects of trauma on both criminal justice personnel and the communities they serve. Through proactive strategies, such as open communication, cultural competence training, and mental health support, future leaders can cultivate resilient, community-focused agencies prioritizing healing, justice, and human dignity.

A Review Of Studies Assessing Modifiable Risk Factors For Dementia Among Family Caregivers In The United States Based On Behavioral Risk Factorsurveillance System (Brfss), Shruthi Ranjithkumar

2025 Spring Honors Capstone Projects - Archive

Caregivers of individuals with Alzheimer's Disease and Related Dementia (ADRD) face an increased risk of developing dementia due to advanced age and modifiable risk factors. The 2024 Lancet Commission Report identified 14 such risk factors, whose mitigation could reduce dementia cases by 45%. Despite this, research on modifiable dementia risk factors among ADRD caregivers remains limited. This study investigates whether peer-reviewed studies utilizing Behavioral Risk Factor Surveillance System (BRFSS) data assess modifiable dementia risk factors among ADRD caregivers. A PubMed search retrieved 27 relevant articles, which were analyzed for risk factors identified by the Lancet Commission, including traumatic brain injury, …

Does An Impaired Sense Of Smell Make It Harder To Think About Things Like Garlic?, Ishrat N. Khan

Honors Scholar Theses

According to sensorimotor-based (also called "embodied" or "grounded") theories of semantic memory, accessing conceptual knowledge about things involves reactivating—or “simulating”—the sensory and motor experiences that we have had with them. For instance, thinking about things for which olfactory experience is dominant (e.g., garlic or a rose) would involve simulating their smell. However, evidence for olfactory simulation when thinking about "smelly” things is sparse and mixed. We tested smell-impaired (“anosmic”) and control participants (N=130 in the anosmic group and N=190 in the control group) on three tasks (1) Picture-Word Verification, (2) Semantic Property Verification, and (3) Free Recall. We predicted that …

Psychological Treatment Behind The Walls:Insights From The Inside, Rogelio Serrano

Psychology Division Scholarship

Repeated eras of mass incarceration, criminalization of marginalized communities, and substance use policies have created a revolving door of justice involved populations. The ever-increasing prison population has repeatedly become the largest contingency of mental health clientele for an overburdened mental health system. Those who work with formerly incarcerated individuals in the community often don’t know the unique set of challenges faced by practitioners within the system. Increased understanding and coordination of care can offer opportunities for sustained recovery and reduced levels of recidivism. In this presentation participants will learn about the unique insights on mental health treatment that can be …

Does Ai Help Or Harm? Why And How Ai Use Influences Workplace Outcomes And Employee Well-Being, Haille Trimboli, Reka Lassu

Education Division Scholarship

Although the recent surge in excitement surrounding artificial intelligence (AI) might suggest it is a new development, AI has been applied in organizations for over forty years (Fanti et al., 2022; Markelius et al., 2024). Indeed, the term "artificial intelligence" itself emerged in the 1950s during a research project at Dartmouth College, where it was used to describe "machines able to simulate human intelligence" (Haenlein & Kaplan, 2019, p. 3). Most recently, in 2022, the landscape of AI use for laypeople greatly changed when OpenAI introduced ChatGPT, a generative AI tool, to the public; ChatGPT is an advanced AI language …

Differences In Performance In Mental Rotation And Short-Term Free Recall In Gender Minorities, Katheryne Renee Wood

Electronic Theses and Dissertations

The study examined mental rotation, short-term free recall, state anxiety, and gender expression through masculinity and femininity. This study addressed gaps in literature examining gender differences in gender minority groups by investigating gender differences in two tasks: mental rotation and short-term recall. Participants are categorized into four gender groups: cisgender men, cisgender women, non-binary, and binary transgender. In accordance with previous literature, it was hypothesized that men would outperform women in mental rotation, women would outperform men in short-term free recall performance, and that non-binary individuals would operate separately from other groups. Anxiety was recorded as a possible covariate, but …

Neurocriminology: A Beginner’S Guide, Jerrod Brown

Forensic Scholars Today

No abstract provided.

Neurocriminology: Revolutionizing Specialized Training For Criminal Justice System Professionals, Janina Cich

Forensic Scholars Today

No abstract provided.

Category Learning Reorganizes Internal Representations Of Visual Artworks, Aishwarya Gurung

Dissertations, Theses, and Capstone Projects

How are categories of art internally represented, and how can we capture those representations systematically? Investigating category learning in the context of complex, multidimensional stimuli like visual artworks presents unique challenges due to their inherent variability and perceptual complexity. Artworks engage multiple cognitive processes and are shaped by both sensory-driven mechanisms and top-down influences like prior knowledge, making them uniquely suited for studying how structured categorical knowledge interacts with perceptual and aesthetic judgments. The present study addresses these questions by utilizing machine-learning tools to construct and implement a two-dimensional similarity space of 400 existing artworks painted by two artists from …

Constructing A Parameterized Stimuli Space Suitable To Induce Controlled Changes In Human And Machine Perceptual Systems, Andrew Frankel

Dissertations, Theses, and Capstone Projects

Traditional computer vision applications focus on objective tasks, such as object detection, classification, or segmentation. Much of human experience is inherently subjective, such as our personal response to artwork. Individualized experiences are challenging to replicate in a controlled laboratory environment, as those experiences depend on the unique history and internal models of the observer. This work presents a technique to construct a 2-dimensional parameterized stimuli space suitable to induce controlled changes in the perceptual systems of both human and machine observers. Our contributions are threefold:

1. Using a balanced dataset of 8,800 fine art images spanning 11 art movements and 88 …

   ---

   Go to article