TECHNOLOGY RESEARCH PROJECT VOLUNTEER OPPORTUNITY

Human-Machine Interface for Autonomous Driving Vehicles
Human Centered Design Methods (ME Graduate Level Class)
Faculty advisor: Alice Agogino
Students: Michael Liu, Yu Liu, Yizhi Wang, Rui Yu, Jiandi Wei, Yen-An Chen Background

  • In the ME 292C class, students are required to apply design methods and tools to work on real world development of customer- driven engineering products.
  • Two of our group members work on an autonomous driving vehicle capstone project this semester on the technical aspects. Our group therefore chose to focus on the topic to explore more insights on functionality and usability using this service.
  • Our target customers in this project are retired elders who commute on a daily or weekly basis in a short distance within urban or suburban area.
  • Currently, we are working on our first prototype and therefore would like to hear your comments. 

Mission Statement
• Product Description - To bring easier self-mobility to people
• Benefit Proposition - safe and reliable system - enjoyable and intuitive to use - fun and comfortable interior.
• Key Business Goal - concept accepted by users, profitable in implementation, scalable system
• Primary market - 65+ US residents, retired
• Assumptions and constraints - assumption(1): customers build trust easily in the robustness of the technologies in terms of safety; assumption(2): customers accept the concept of not owning a vehicle in the next few coming years; constraint: legal infrastructure is not yet complete (in terms of liability of the self-driving vehicles).

How it works?
One to one interview:
• We will have a conversation with you for about 25 mins
• We might ask some open-ended questions such as how do you use your vehicle or where do you usually commute to
• We would show you a prototype of the vehicle interface design and ask for your comment
• We invite you to share with us any other ideas you might have 

If you are interested in participating, please contact us by November 1st, either by email to chenyenan@berkeley.edu or, phone or text to Yen-An Chen (669) 231-9387; Yu Liu (614) 313-5759; Michael Liu (510) 280-4936



Vehicle to vehicle 
• Data transition
• Distance measurement 
• Traffic report 
• Communication 

Vehicle to human 
• Navigation 
• Dash-panel info 
• Audio control 
• Speed control 
• Emergency link 
• Touch screen 
• In-car WiFi
• Tables

Vehicle to environment 
• Home link 
• Parking lot 
• Traffic light 
• Obstacles 
• Temperature