A conceptual interaction design for on - campus autonomous shuttle of Illinois Institute of Technology
Robotics lab at Illinois Institute of Technology has conducted in-depth tests and research on the navigation functions of autonomous vehicles. The research project uses radar sensing technology to scan the surrounding environment in order to generate maps. This emerging technology provides the self-driving car industry with road testing on the main campus of IIT. Since the laboratory obtain the valuable research data of the campus. We decided to design a self-driving school shuttle for the IIT campus, and create an unique experience concept.
How to design the functions of an autonomous shuttle in a specific campus setting? Especially when the average on-road time is less than 5 minutes, what are the real needs of users? What features can improve user experience? Through the process of user research, ideation, definition and visualization, we proposed an interaction system suitable for autonomous school shuttle on campus.
Different from normal trip booking APP, we provide routine commute options based on students' class schedules.
Finding the pre-set commutes in the clear layout of daily schedule makes the fixed shuttle bus more flexible.
Dynamic information displayed in Apple Widgets and pop-up notification of informing the trip in advance give passengers a shortcut to understand what’s going on right now.
Not only can select prefered seats before getting in, but also be able to adjust temperature and set favourite playlists.
Shuttle can only recognize you when you verify your identity by tapping your ID card; however, you can easily understand which one is yours and get started quickly.
The outside screen will display evey information you need to take off.
Combining the shuttle with IIT campus website + Chicago crime data + IIT alert to provide safe and joyful in-car experience for students.
For students to better understand about the vehicles. For managers to clean and maintain in time.
With the increase in demand and data collection, vehicles will use AI to calculate the same routes of their peers to increase traffic efficiency in the future.
Temporarily idle vehicles may be dispatched to some campus activities as public facilities. (eg. road blocker, sound, etc.)











