Patricia R. DeLucia

23 papers Journal 23

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Driver Vigilance Decrement is More Severe During Automated Driving than Manual Driving. Hum. Factors Eric T. Greenlee, Patricia R. DeLucia, David C. Newton
2024	J	`jnl`	Modality Changes in Vigilance Displays: Further Evidence of Supramodal Resource Depletion in Vigilance. Hum. Factors Eric T. Greenlee, Patricia R. DeLucia, Tiffany G. Lui
2023	J	`jnl`	Does the Size-Arrival Effect Occur With an Active Collision-Avoidance Task in an Immersive 3D Virtual Reality Environment? Hum. Factors Patricia R. DeLucia, Adam M. Braly, Bria R. Savoy
2023	J	`jnl`	Factors That Affect Drivers' Perception of Closing and an Immediate Hazard. Hum. Factors Bradley W. Weaver, Patricia R. DeLucia, Jason Jupe
2022	J	`jnl`	A Systematic Review and Meta-Analysis of Takeover Performance During Conditionally Automated Driving. Hum. Factors Bradley W. Weaver, Patricia R. DeLucia
2022	J	`jnl`	Tactile Vigilance Is Stressful and Demanding. Hum. Factors Patricia R. DeLucia, Eric T. Greenlee
2021	J	`jnl`	Looking Back, Looking Forward, Reprised: The Last Eight Years of Hum. Factors Patricia R. DeLucia
2020	J	`jnl`	Can Stroboscopic Training Improve Judgments of Time-to-Collision? Hum. Factors Adam M. Braly, Patricia R. DeLucia
2020	J	`jnl`	Evaluating Medical Devices Remotely: Current Methods and Potential Innovations. Hum. Factors Anne Collins McLaughlin, Patricia R. DeLucia, Frank A. Drews, Monifa Vaughn-Cooke, Anil Kumar, Robert R. Nesbitt, Kevin Cluff
2019	J	`jnl`	Angle of Camera View Influences Resumption Lag in a Visual-Motor Task. Hum. Factors Natalie R. Lodinger, Patricia R. DeLucia
2019	J	`jnl`	Driver Vigilance in Automated Vehicles: Effects of Demands on Hazard Detection Performance. Hum. Factors Eric T. Greenlee, Patricia R. DeLucia, David C. Newton
2018	J	`jnl`	Driver Vigilance in Automated Vehicles: Hazard Detection Failures Are a Matter of Time. Hum. Factors Eric T. Greenlee, Patricia R. DeLucia, David C. Newton
2018	J	`jnl`	Effects of Touch, Voice, and Multimodal Input, and Task Load on Multiple-UAV Monitoring Performance During Simulated Manned-Unmanned Teaming in a Military Helicopter. Hum. Factors Samuel J. Levulis, Patricia R. DeLucia, So Young Kim
2018	J	`jnl`	Whither Replication? Hum. Factors Judy Reed Edworthy, Patricia R. DeLucia
2016	J	`jnl`	Effects of Adjacent Vehicles on Judgments of a Lead Car During Car Following. Hum. Factors Samuel J. Levulis, Patricia R. DeLucia, Daniel Oberfeld
2014	J	`jnl`	Looking Back, Looking Forward: 55 Years of Human Factors. Hum. Factors Patricia R. DeLucia
2013	J	`jnl`	The Impact of Visual Scanning in the Laparoscopic Environment After Engaging in Strain Coping. Hum. Factors Martina I. Klein, Patricia R. DeLucia, Ryan Olmstead
2009	J	`jnl`	Can Metric Feedback Training Hinder Actions Involving Distance? Hum. Factors Keith S. Jones, Patricia R. DeLucia, Allyson R. Hall, Brian R. Johnson
2008	J	`jnl`	Critical Roles for Distance, Task, and Motion in Space Perception: Initial Conceptual Framework and Practical Implications. Hum. Factors Patricia R. DeLucia
2006	J	`jnl`	Motion Extrapolation of Car-Following Scenes in Younger and Older Drivers. Hum. Factors Patricia R. DeLucia, Robert D. Mather
2006	J	`jnl`	Toward the Improvement of Image-Guided Interventions for Minimally Invasive Surgery: Three Factors That Affect Performance. Hum. Factors Patricia R. DeLucia, Robert D. Mather, John A. Griswold, Sunanda Mitra
1999	J	`jnl`	Critique of "Distance Estimation with Night Vision Goggles: A Little Feedback Goes a Long Way". Hum. Factors Patricia R. DeLucia
1995	J	`jnl`	Effects of Pictorial Relative Size and Ground-Intercept Information on Judgments about Potential Collisions in Perspective Displays. Hum. Factors Patricia R. DeLucia

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.