Cognitive Science Commons^™

Forensic Neuroscience: A Brief Introduction, Jerrod Brown

Forensic Scholars Today

Forensic neuroscience is an emerging, multidisciplinary field that applies brain science to forensic mental health, criminal justice, and legal decision-making. This article summarizes how neuroscience can inform assessments, evaluations of criminal responsibility, case planning, treatment, and prevention for justice-involved populations, highlighting complementary disciplines and the need for ethical guidance, replication of findings, and specialized education before broad adoption in legal settings.

Ctrl + Alt + Inner Speech: A Verbal–Cognitive Scaffold (Vcs) Model Of Pathways To Computational Thinking, Daisuke Akiba

Publications and Research

This theoretical paper introduces the Verbal–Cognitive Scaffold (VCS) Model, a cognitively inclusive framework which proposes the cognitive architectures underlying computational thinking (CT). Moving beyond monolithic theories of cognition (e.g., executive-function and metacognitive control models), the VCS Model posits inner speech (InSp) as the predominant cognitive pathway supporting CT operations in neurotypical populations. Synthesizing interdisciplinary scholarship across cognitive science, computational theory, neurodiversity research, and others, this framework articulates distinct mechanisms through which InSp supports CT. The model specifies four primary pathways linking InSp to CT components: verbal working memory supporting decomposition, symbolic representation facilitating pattern recognition and abstraction, sequential processing enabling …

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 …

Access Denied: An Argument Against King’S Propositional Access Principle, Jesse Fitts

Philosophy Faculty Research

Accounts of propositions face a problem that originates in the ontology of numbers: If propositions are abstract and causally isolated, then it’s unclear how agents cognitively access them. Jeff King presents a solution to this problem for his theory of propositions. King’s solution follows from a more general principle of cognitive access, which this paper challenges.

Investigating The Relationship Between Noun Classes And Plant Folk Taxonomy In Chasu Language Of Kilimanjaro Region In Tanzania, Peter Rabson Mziray

Journal of Humanities and Social Sciences

The current study investigates the relationship between noun classes and plant folk taxonomy in Chasu (G 22). The study focuses on two objectives: the first objective is to describe the plant folk taxonomy in Chasu and the second objective is to determine the relationship between noun classes and plant folk taxonomy in Chasu. Data were collected from rural villages in Same and Mwanga districts by using free listing, field interviews (jungle-walk-and-identify), and written texts containing Chasu plant names. The findings reveal that Chasu folk taxonomy reflects different ethnobotanical categories; including a unique beginner which is mmea/mimea ‘plant(s)’, and three life …

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 …

Socio-Technical Exchange With Machines: Worker Experiences With Complex Work Technologies, Cameron W. Piercy, Reaia Turner-Leatherman

Human-Machine Communication

Machines are now commonplace work partners and Human-Machine Communication (HMC) is part of modern work. Guided by the machine heuristic and Social Exchange Theory (SET) this paper uses interviews with 22 workers to explore the socio-technical relationships between humans and machines at work. Participants worked with complex machines across a wide variety of industries and roles and findings reveal participants see machines as part of the work ecosystem, develop everyday machine heuristics to guide repeated interactions with machines, and that elements of human uniqueness persist in evaluations of humans and machines. Discussion points emphasize situated and developing human-machine interaction scripts, …

Re-Engaging Driver Attention Using Chatgpt: A Multimodal Study On Stress Impact And Driving Performance, Alaa Zaki Elfiqi

Theses and Dissertations

Driving is considered a complex task that requires continuous focus and attention from the driver. Driving performance can also be impacted by changes in the driver’s stress level. However, limited research explores methods to address this challenge. With the current advances in Large Language Models (LLMs) and their ability to engage in human-like interaction, this study investigates the potential of using ChatGPT, designed to speak Egyptian Arabic, in re-engaging driver attention under different driving scenarios for low-stress and high-stress conditions within a virtual reality (VR) environment driving simulator. Drivers were asked to follow a leading car into two scenarios with …

Proceedings Of The 19th Facet Theory Conference, Samuel Shye

International Facet Theory Conference

No abstract provided.

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 …

Spiritual Practices In Survivor Care: A Qualitative Analysis Of Christian Faith-Based Shelters And Survivor Well-Being, Jeanne L. Allert

Dignity: A Journal of Analysis of Exploitation and Violence

Christian faith-based organizations constituted a significant proportion of shelter programs for survivors of sex trafficking in the United States, with an estimated 63% identifying as Christian-affiliated (Institute for Survivor Care, 2024). Despite their prevalence, such programs often elicited skepticism due to the rise of secularism (Pew Research, 2022) and concerns that spiritual programming might retraumatize survivors (Ahrens et al., 2010; Hodge, 2020). However, Ahrens et al. (2010) and Hodge (2020) also found that religious practices can be helpful. This qualitative study employed a trauma-informed, descriptive survey design to explore the experiences of 158 trafficking survivors, who had either resided in …

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 …

Trauma In The Middle Ages: The Viking Experience Of Trauma Through Saga, Kagan L. Vogt

University Honors Theses

Trauma is a fundamental part of human experience and the ways in which human beings experience trauma differs drastically depending on the time and culture represented. Research on trauma in the Middle Ages does exist, however, often offers windows into very narrow intersections within the study of historical trauma. Other cultures and particularly oral traditions lack the same attention from scholars in trauma. The specific experience of Vikings as referenced in the oral tradition of sagas offers a unique window into the traumatic experience of Vikings as well as how they responded to trauma. This unique response to trauma is …

Field Journal: The Excluded Middle, Carrie E. Kouts

Masters Theses

What does it look like to engage with organisms and landscapes at the periphery of anthropocentric value structures? How does one break the internalized myth that the “built” environment is excluded from the natural world? When does a hyper-mobile and hyper-commodified society confront the exponential crisis of animal death? Within this series of journal entries, field notes, collection observations, weird prose, and sensory musings, one will find questions on the nature of being human and the complex narratives of care we encounter in a world shared with more-than-humans. Each handwritten vignette and photograph from daily life weaves a non-linear and …

Transplant Transplant(Ed) Transplant(Ing), So Jung Yoon

Masters Theses

Boundaries shape our lives and identities. The tangible presence of boundaries becomes a medium for engaging with the world—such as who occupies a space and how, or what tools are deemed valid in a design process. These boundaries aren’t always visible; they’re embedded in systems, habits, and assumptions that shape how we move, create, and are recognized. They extend far beyond fixed geographies and the specific positions we occupy within them.

Transplanting is the process by which things are moved or move across boundaries in hopes of being planted, finding a place to stay. Though it can be a search …

Determinants Of Integration: Migration Difficulty, Mental Health, And Social Connections Among Eritrean Immigrants, Shewit Woldemichael

Master's Theses

This thesis explores how the experience of migration hardship affects integration outcomes of Eritrean migrants in the U.S. and the Netherlands. Using original survey data and the Immigration Policy Lab’s Integration Index (IPL-24), this paper investigated the intersection of economic, psychological, and social interactions that facilitate integration outcomes. This research finds that migration hardship doesn’t just make people’s lives more difficult; it breaks down the social ties and mental well-being that are essential for economic success measured by integration.