Awesome
This is a really easy class. The tests are extremely easy because he basically goes over them in class. Plus not much homework at all. Piece of cake.
George Mason University - Psychology
MetroStar Systems
Northern Virginia Community College
U.S. Naval Research Laboratory
JQ Scientific
LLC
Loudoun
VA
Taught introductory psychology courses\nMotivated students to engage with the material\nExplained topics in an easy to understand manner.
Adjunct Psychology Faculty
Northern Virginia Community College
Fairfax
VA
-Studied several topics: habit development (dissertation)
virtual reality training
multitasking
distress tolerance
bicycling safety \n-Designed many experiments
including three multi-month daily diary studies for dissertation\n-Piloted new survey questions (several projects)\n-Conducted think-aloud protocols and reviewed qualitative feedback\n-Recruited in-person participants (often completed goals in less than two weeks)\n-Learned neuromethods—estimated mental workload with a measure of blood flow velocity in the brain (transcranial doppler sonography)\n-Trained and mentored five undergraduate research assistants\n-Mastered R (e.g.
wrote over 2
000 lines of code for dissertation)\n-Presented dissertation in under 10 minutes to committee\n-Conducted research for different military groups (Office of Naval Research
Marine Corps
and Army Research Lab)\n\nCourses taught as an instructor:\n1. Research Methods in Psychology\n2. Statistics for Psychology Majors\n3. Cognitive Psychology\n\nCourses taught as a teaching assistant:\n1. Graduate Introductory Statistics\n2. Cognition & Perception \n3. Graduate Bayesian Statistics\n
Human Factors Graduate Student Researcher
George Mason University
Reston
Virginia
-Conducted Interviews and led focus groups\n-Impacted the design of mobile apps by making them relevant to non-Western markets\n-Wireframed for mobile and web\n-Collaborated with designers and developers\n-Wrote small business innovative research (SBIR) grants\n-Reviewed cognitive and human factors literature for stakeholders\n-Analyzed Google Analytics Data\n
UX Researcher
MetroStar Systems
Washington D.C. Metro Area
Responsible for overseeing experiments in the Night Vision Lab at Fort Belvoir\n-Design and counterbalance perception experiments\n-Program experimental software\n-Advise customers on the best research practices and make practical compromises\n-Collect data onsite \n-Analyzing human performance data\n
Engineering Psychologist
Planned Systems International
Japanese
Honors in Psychology B.S.
George Mason University
Dean's List
All undergraduate semesters
George Mason University
Naval Surface Warfare Center
Planned Systems International
Self-taught data management with R via stackoverflow
rseek.org
and R-help. Data analysis enabled coworkers to prioritize engineering efforts in future work
Naval Surface Warfare Center
UX Research Consultant
Created custom online human perception experiments for Intel Inc \n-Made data collection cheaper and faster than in-person studies\n-Obtained a high correlation (.97) with in-person experiments\n-Published results in a peer-reviewed journal\n-Hired programmers and managed software development on AWS server\n\nPiloted four-month hypoxia training protocol for the Air Force\n-Showed how hypoxia research is relevant to pilots and ground troops\n-Presented results to US Air Force in Santiago
Chile\n-Obtained interest in follow-up research\n\nAnalyzed how patients use a hospital mobile app\n-Reported user engagement with statistics and data visualizations\n
JQ Scientific
LLC
Human Factors Research Intern (NREIP)
Designed and conducted a multi-week eye tracking experiment\nExtensively used R—analyzed data from sensors and eye trackers\nImproved the design of multi-tasking experiments
U.S. Naval Research Laboratory
Doctor of Philosophy (Ph.D.)
Psychology
Human Factors and Applied Cognition
George Mason University
Master of Arts (M.A.)
Psychology
Human Factors and Applied Cognition
George Mason University
Bachelor of Science (B.S.)
Psychology
George Mason University
Research
Science
Linear Regression
R
Survey Design
Qualitative Research
Cognitive Interviewing
Teaching
Human Factors
Research Design
Statistical Data Analysis
Missing Data
Psychology
Experimental Design
Statistical Programming
Statistics
University Teaching
Quantitative Research
Statistical Modeling
Data Analysis
Online subjective testing for consumer-photo quality evaluation
We take a look at crowdsourcing for subjective image quality evaluation using real image stimuli with nonsimulated distortions. Our aim is to scale the task of subjectively rating images while ensuring maximal data validity and accuracy. While previous work has begun to explore crowdsourcing for quality assessment
it has either used images that are not representative of popular consumer scenarios or used crowdsourcing to collect data without comparison to experiments in a controlled environment. Here
we address the challenges imposed by the highly variable online environment
using stimuli that are subtle and more complex than has traditionally been used in quality assessment experiments. In a series of experiments
we vary different design parameters and demonstrate how they impact the subjective responses obtained. Of the parameters examined are stimulus display mode
study length
stimulus habituation
and content homogeneity/heterogeneity. Our method was tested on a database that was rated in a laboratory test previously. Once our design parameters were chosen
we rated a database of consumer photographs and are making this data available to the research community.
Online subjective testing for consumer-photo quality evaluation
Jake
Quartuccio
George Mason University