Microsoft AirSim is a simulator tool for autonomous vehicles. It’s a platform for AI developers to test autonomous vehicles such as drones or self-driving cars without worrying about cost and real-world damage.
Microsoft AirSim is a simulator tool for autonomous vehicles. It’s a platform for AI developers to test autonomous vehicles such as drones or self-driving cars without worrying about cost and real-world damage.
AirSim is a computationally heavy software and it is liable to crash.
High technical expertise is required to navigate and use AirSim’s features.
Based on these pain points, I sketched a few initial ideas for an onboarding process for AirSim.
Feedback from the team...
The user base of AirSim will have programming experience and will need to use APIs to control many aspects of the software.
Different people of vastly different industries ( from agriculture to retail) and demographics will be using AirSim. Hence, the onboarding process needs to be focused on function.
AirSim in its current form is complex and is used mainly by academic researchers. It lacks its own interface and is a plug-in on Unreal Engine, a gaming engine.
I created wireframes of a personalized onboarding process, in which users answer a few questions about their background and purpose of use to have a customized configuration of AirSim.
Based on feedback, I added a screen directing users to a list of APIs at the end of the onboarding process.
A basic wireframe for the API List.
A high fidelity version of the API List screen in a light interface (later changed).
As AirSim is a Microsoft product, I ensured that my design followed Fluent design system guidelines. Although initially the screens were in light mode, I created a design language for a dark UI to match with the surrounding interface of Unreal Engine.
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