DAVID WOZNIAK

Experienced Human Factors Design Engineer at Lockheed Martin with a strong background in Industrial and Systems Engineering. Skilled in developing user-friendly GUIs through coding and utilizing strategic planning and process improvement techniques. Proven ability to transform data into actionable business insights. Possesses a diverse skill set in technical tools, statistical software, and business applications.

• Michael and Sugar Barnes ISEN Scholarship Recipient, 2021
• Texas A&M Dean’s List, 2017 - 2021
• Texas A&M President’s Endowed Scholarship Recipient, 2017 - 2021
• GRE – verbal 165 (96th percentile), quantitative 167 (89th percentile), Analytical Writing 5.0 (92nd percentile), 2020

• Analysis of advanced driver assistance systems in police vehicles: A survey study., Transportation Research Part F: Traffic Psychology and Behavior, 83, 1-11, 2021, Established guidelines for the research and development of advanced driver-assistance systems (ADAS) for police officers based on survey data from 73 Texas police officers. Trust and training in ADAS features were found to impact police officers’ use and opinion of ADAS features.
• Usability Evaluation of Police Mobile Computer Terminals: A Focus Group Study., International Journal of Human–Computer Interaction, 1-10, 2021, Evaluated the opinions and feedback of 16 police officers on their understanding and perceived usefulness of in-vehicle technology for their patrol job, particularly their mobile computer terminals (MCTs). Common usability issues identified include inappropriate presentation of information, lack of interface consistency, and lack of adaptability.
• Application of advanced driver-assistance systems in police vehicles., Transportation Research Record, 2675, 10, 1453-1468, 2021, Determined the existing advanced driver-assistance systems (ADAS) and in-vehicle technologies present in police vehicles in order to understand the impact of these features on officer safety. Identified ADAS features that could be implemented in order to further improve officer safety while taking into account the unique driving conditions patrol officers operate under.
• Understanding the Morally Gray Roots of Engineering: Review of Ethan Blue, Michael Levine, and Dean Nieusma’s Engineering and War: Militarism, Ethics, Institutions, Alternatives., Morgan and Claypool, 2014, Summarization of a book on engineering and warfare and how their roots intertwine with each other as well as how that history leads to the military industrial complex we have today.
• Law enforcement officers' acceptance of advanced driver assistance systems: An application of technology acceptance modeling (TAM) [Paper Presentation]., Proceedings of the Human Factors and Ergonomics Society Annual Meeting 65, Atlanta, GA, United States, Application of the technology acceptance modeling (TAM) method to design guidelines for advanced driver-assistance systems (ADAS) in order to enhance police acceptance towards ADAS.
• Measuring cognitive workload of novice law enforcement officers in a naturalistic driving study [Paper Presentation]., Proceedings of the Human Factors and Ergonomics Society Annual Meeting 66, Atlanta, GA, United States, Conducted ride-along pilot study with 10 novice police officers, collecting physiological data to measure their cognitive workload and model the impact of in-vehicle technology on novice police officers.
• An Adaptive Virtual Reality-Based Training System for Pilots [Paper Presentation]., Proceedings of the Human Factors and Ergonomics Society Annual Meeting 66, Atlanta, GA, United States, Developed virtual reality system to enhance the training program for pilots by making use of adaptive training techniques such as adaptive feedback and adaptive difficulty based on the performance of participants and their workload determined by physiological measures.
• Design and evaluation of an adaptive virtual reality training system., Virtual Reality, 27, 2509-2528, Validated virtual reality system to enhance the training program for pilots by making use of adaptive training techniques such as adaptive feedback and adaptive difficulty based on the performance of participants and their workload determined by physiological measures.
• Modeling novice law enforcement officers’ interaction with in-vehicle technology., Applied Ergonomics, 114, Developed cognitive performance model for novices and released it to Github. The model estimates task time, operators, and memory chunks for novice LEOs and redesign their in-vehicle technology.