Human Computer Interaction Researcher
Univeristy of Michigan
Biography
As a Research Scientist, I specialize in the field of human-centered engineering design, blending insights from information science and human factors. My work focuses on understanding, predicting, and influencing how people interact with technology. I’m particularly interested in exploring the complex dynamics of human-computer interactions and using that knowledge to design products that are both effective and engaging.
I’m passionate about conducting experimental studies and running simulations to gather meaningful data about user behavior. I’m skilled in a range of statistical methods, from descriptive analyses to inferential techniques, and have experience developing computational models of human behavior.
Collaboration is an essential part of my work, and I thrive in multidisciplinary environments. I enjoy translating research findings into practical applications, working closely with designers, engineers, and product managers to ensure that our products are user-friendly and meet the needs of our users.
- Human-Computer Interaction (HCI)
- Natural Language Processing (NLP)
- Bahavioral Modeling
PhD in Industrial Engineering, 2024
University of Michigan
MS in Information Security, 2019
National Polytechnic University of Armenia
BSc in Information Security, 2017
National Polytechnic University of Armenia
Skills
Experience
Responsibilities include:
- Leading research on enhancing driver-autonomous vehicle interactions through Large Language Model (LLM) generated explanations, focusing on improving trust and user experience
- Investigating user behavior patterns in traffic information sharing, analyzing motivational factors for driver participation in crowdsourced navigation platforms such as Waze
- Taught C# Programming for Engineers | IMSE 255, CIS 205
- Instructed in Human-Centered Engineering Design | HCED 510
Responsibilities include:
- Design and conduct experiments to investigate the relationship between emotions, trust, and automated vehicle performance
- Apply natural language processing techniques, including topic modeling and sentiment analysis, to interpret public attitudes
- Analyze trends and challenges in micro-mobility across the US and EU, with a focus on safety concerns
- Develop high-fidelity driving environments using CarMaker, Unity VR, and SimCreator for behavioral studies
- Create machine learning models to predict drivers’ state (e.g. situation awareness and trust) in real-time
- Develop and apply machine learning models for Named Entity Recognition in automated vehicle safety analysis
- Utilize Generative AI models (e.g., GPT-3.5 Turbo, GPT-4) for automated document labeling and analysis
- Contribute to projects focused on automated vehicle safety, human-automation interaction, and micro-mobility trends
- Write reports and academic articles to document research findings and methodologies
- Present research results at academic and industry conferences
- Design and develop distributed, near real-time event management systems using Azure Cloud services
- Create data-driven analytics platforms based on customer’s data nature
- Research and model multi-layered security architectures for distributed systems
- Plan and implement storage services for efficient data management
- Organiz and deliver regular workshops and training sessions on trends and best practices in cloud technologies and data storage systems
Publications
Contact
- Interested in exploring a research project together?
- Looking for a speaker on human-centered design or human-computer interaction?
- Need insights on user behavior or product design?
Let’s connect!
- lilita@umich.edu, lilitavetisian@outlook.com
- Ann Arbor, MI 48185
- DM Me