Audrey R.

About Audrey R.

Hi there! I\'m Audrey. I am a quantitative UX Researcher who helps design culturally aware AI-enabled systems.My experience with human factors and AI stems from a desire to build AI-enabled systems with human needs and cultural differences in mind. Background I\'m a Ph.D, level quantitative UX researcher, specializing in the intersection of user experience, artificial intelligence, and human-centered computing. I divide my work into three thematic verticals:Human-AI Collaboration: What good is an AI-enabled system to a user if the user doesn\'t trust the system? My background in human-AI collaboration involves intelligent user interface design, human-guided machine learning, and explainable AI. Cultural Context: How can we design AI interfaces that resonate across diverse cultural landscapes? My UX research in cultural context involves ethnographic studies of AI and product adoption in various cultures, localization of AI-enabled user interfaces, and cross-cultural usability testing. Research Rigor: What insights can we gain from AI interactions if our research methods aren\'t robust? My approach to research rigor in UX encompasses mixed-method studies of AI user experiences, longitudinal analyses of AI adoption patterns, and ethical considerations in AI-human interaction studies.

Experience

1. Senior Quantitative User Experience Researcher

   H-E-B

   Dec 2024 — Present · Austin, TX, US

   Applied mixed methods research to optimize search schema activation (e.g, lexical vs. semantic) across digital platforms, driving measurable improvements in product engagement and sales. •Designed and executed experiments using SQL and Python to analyze consumer behavior and identify conditions under which different search strategies enhance discoverability and conversion. •Collaborated with product and data science teams to integrate behavioral insights into machine learning models that predict purchasing intent and personalize user experiences. •Led strategic initiatives focused on increasing customer loyalty and retention through data-driven UX enhancements, contributing to growth in repeat purchases and basket size. •Developed dashboards and reporting pipelines to monitor search performance and user interaction metrics, enabling rapid iteration and continuous improvement.

Education

• Georgia Institute of Technology

  Masters, Human Computer Interaction

  2013 — 2015

• Purdue University

  Doctor of Philosophy (Ph.D.), Industrial Engineering

  2015 — 2019

• UC San Diego

  Bachelor of Science (BS), Cognitive Neuropsychology

  2008 — 2012

Skills

• Heuristic Evaluation
• Experimentation
• Spss
• Human Computer Interaction
• Research
• Data Analysis
• Computer Science
• User Interviews
• Html
• Algorithms
• Latex
• Statistics
• Late
• User Interface Design
• Qualitative Research
• X-Plane
• User Experience
• Research Design
• Matlab