Accudrive - An apple watch to concept to measure your driving accuracy.

About the project

An Apple watch concept app to measure your driving accuracy and give a curated statistics of your driving accuracy. The intent was to design an application for learners and other drivers to measure their driving accuracy which can minimiste driving errors on road and help the drivers by themselves.

Project Type & Involvement

Concept app - Product Design


October 2015


Watch OS

How & why?

The spark ⚡️

The spark arouse from my own experience when I was learning to drive a car. As a new learner, I found no way to measure my driving accuracy unless my instructor points it out. I want to design an innovative solution with the best available technology then to measure the driving accuracy when the user travels from one point to another.

Research 📝

In my research, we interviewed some driving instructors & experienced drivers, conducted some interviews on the qualities that make a good driver and the attributes of efficient driving and the mistakes of the people that make them a bad driver. I want to identify the keypoints to frame my problem from the answers to the following questions: 1)What are the common driving mistakes that learners make during the initial days?.
2)What are the basic attributes that make a good driver?
3)How long does a learner take to master driving?
4)How do you track improvements on learners driving?

Insights from Research 🔍

During their experience, they have identified the new learners would have trouble mastering the attributes such as steering, acceleration and braking as they were new and these were the basic attributes that contributed to a good driver. Also, the average number of days to master driving was 21 days. The attributes discussed earlier are even some mistakes that even advanced drivers make.

Framing the features from insights

From the research findings I derived the initial set of features and the attributes that would make the product useful and a minimum viable one. The primary features were primarily focused towards measuring the driving accuracy with the purposeful attributes and measure the statistics over time.

Leveraging the power of technology

The primary aim was to use wearable to design a solution as it would always be in users wrist and also help in accurately measuring the statistics. Apple watch was then introduced and had all the sensors required. Hence, I decided to go with Apple Watch as the platform.

Apple Watch + Maps

The Apple Watch was then introduced and it has inbuilt sensors like accelerometer, gyrometer etc. The primary idea was to leverage the power of these inbuilt sensors and associate with the maps API for meaningful data. The inbuilt sensors would measure the motion and connect it with the driving accurancy.

Designing the interface

Initial Sketching

I started with sketching the essential screens of the interface. Sketching helped me in framing the layout and designing the initial flow of the app. Also, writing some notes and re-evaluating them reduced the need for iterations in the high-fidelity prototypes.

Application screens

The screens were constructed with the native components of an Apple watch interface. Bolder and legible elemtns were used to accomodate the smaller screen size of the watch to make it viable for the user. Also, typography and colours used are kept bright to accomodate all light conditions and to support maximum visiblity.

Set a location and start a drive

The primary flow of the application which allows the user to start a new drive from his location where the location is auto-detected. The user can set the destination with the help of siri (i.e) the native voice assistant or the user can also choose from a list of recent and frequent locations the user has driven to.

Start a new drive

By starting a new drive the app starts to track your accuracy by synchronizing with the route in the map. The drive screen shows the location throughout the drive with an end button inorder to complete the users drive to attain his accuracy results.

Drive analysis and results

The stats tab helps you track your productivity through the individual stats of each entity and also a graph showing your monthly progress on using the app. The tab also let users view their completed tasks over the period of time they have used the application.

Review past drives and stats

The application lets you view your past drives and view the distance and scores individually helping users keep a track of his past drives. The statistics screen shows a graph plotted with the scores of his driving over a period of time which helps the user know how his quality of driving has improved or declined over time.

Notifications on your accuracy

Push notifications gives an alert on his scores over a week or month to inform the user about his driving average on a weekly and monthly basis.

Clickable prototype

Reflection & Takeaways

This was the first wearable product where I learned to design for the evolving technology. I learned to adapt to the new evolving hardware ecosystem which developed good confidence within me to create scalable products across multiple platforms. Below are a few other major takeways from the project.

Treating like a realtime app:
Though it was a concept app I took efforts to make it look like an original app to be developed. I also had an opportunity to test it in a real app
Designing for wearables:
The challenging aspect of the process was to design for wearables as they were just getting introduced back in time. I didn’t have any kits or elements for wearables and hence it was a challenge to understand the principles and design for it.
Using external sensors:
Although this solution proved to be an efficient one, on conversing and presenting the ideas to some technologists they suggested an external sensor and connect it with the watch to get the data in a more accurate way which can be considered for the next version of the application.

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