As part of a project I did for an industrial design elective at Massey University, we were tasked with designing a home espresso machine. Rather than simply make a good looking typical machine, I decided to focus on the usability of home espresso machines to see where their designs could be improved for ease of use, and sustainability. This project is currently a finalist in the best awards. ☕️View on best awards
As part of this project, I used Augmented Reality to prototype form quicker than building real life models, for instance times that I couldn't be in the workshop building real models or needed to test a small idea without spending time using foam/wood – I used Fusion 360 to model my designs, and in some cases textured them using Substance Painter. Finally, I exported them as a .USDZ file (Apple & Pixar's new AR file format) and can share them to friends & stakeholders to visualize the product in their own spaces, in life size.
AR mode only works on iPhones and iPad.
The problem is, it's genuinely hard to figure out how much your summer roadtrip might cost. You can easily figure out accomodation costs, and you can budget for food costs, but unless you know your car really well it's hard to budget for gas prices – which, as it turns out can be fairly expensive!
We built Roadtrip to make it easy to figure out how much your road trip is going to cost, based on fuel prices. You simply enter your starting location, your destination, your car’s license plate and fuel type, then Roadtrip calculates how much it is likely to cost you.
Originally Roadtrip required users to enter their car’s fuel efficiency in KM/L. However, we realised something in user testing: Nobody in their right mind knows their cars fuel efficiency. Literally no one we talked to. So it was back to the drawing board, we had to come up with something that was easy for people to enter, but accurate enough that it wouldn’t show misinformation.
We considered having an option between 3 different car types, but after some research discovered that car’s since 1995 have become 25-30% more fuel efficient, so using an average could end up being very inaccurate.
So we thought, we need something that everyone knows about their car, that makes it unique. We considered using a database that had a variety of different car manufacturers, models, and years – but this result made the user experience a lot slower than we’d like from a simple calculator, and it meant it always had to be updated with new cars.
Then we had a breakthrough: What if it was possible to find out a car’s fuel efficiency, based on it’s licence plate. Lucky for us, it was. The team were able to create an API using an existing New Zealand licence plate fuel efficiency database, which meant we could call our own API and get the car's fuel efficiency. Magic.