Dearborn, Michigan, United States
User Research & Behavioral Analysis (Human-AI Teaming):
• Conduct mixed-methods user studies using dual-task simulation environments to evaluate human-AI interaction patterns and usability.
• Deliver actionable insights through qualitative and quantitative analysis of user behavior, task allocation patterns, communication flows, and system transparency needs.
• Presented research findings at HFES demonstrating 44% improvement in situational awareness and 52% increase in user trust through evidence-based design recommendations.
Applied Machine Learning for User Behavior Analysis:
• Apply machine learning algorithms and Python-based analysis to identify behavioral patterns and predict user needs from complex experimental datasets.
• Synthesize technical AI capabilities with human-centered research to inform product strategy and design decisions.
• Bridge technical implementation and user experience through integrated analysis of system performance and human factors.
Conversational AI & Interaction Design Research:
• Design and execute end-to-end mixed-methods user studies for custom-built AI prototypes, including embodied conversational agents.
• Lead full research lifecycle from study design and prototype development through participant recruitment, moderated usability testing, observational research, and synthesis.
• Evaluate user experience, communication effectiveness, and behavioral responses through combined qualitative interviews and quantitative behavioral metrics.
