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CARID

Group Aliens | ISE 3614

Tony Lee, Joon hyun Shim, Caleb Todd, Yechan Choi, Simar Chadha

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Why CARID?

Goal:

To create a system that can ensure users with a safer driving experience whilst creating a comfortable environment for all autonomous vehicles level 1 or above.

Background:

The CARID system will provide users with a customized driving experience via an integrated technology which allows the user to set driving preferences such as dangerous driver proximity, speed regulation, user verification and much more.

Motivation:

This technology will push the standards of automated driving to a new level by tailoring the driving experience to the driver. The CARID system will ensure the safest and best possible driving experience by analyzing and allowing the user to control each factor.

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Personas

Paul Effron

Age: 31
Vice President of EY (Business Consulting Firm)
“People don’t drive fast enough when I am late for work.”
Reckless driver

Design Considerations

Speed limit option
Find the most preferable and efficient route for the driver

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Personas

Emy Walker

Age: 24
Operations Manager at Volvo
“There are too many dangerous drivers on the road” “People go way above the speed limit”
One fender-bender, no pull-over

Design Considerations

Finding a safer route
Informed about reckless drivers nearby to avoid them

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Hierarchical Task Analysis (HTA)

Design Consideration and Implications

Customize driving experience by enabling users to choose what they are comfortable with
Users preferences such as driving routes and speed limits are incorporated while abiding by the law

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Hierarchical Task Analysis (HTA)

Design Consideration and Implications

Using specific earcons and musicons for each action the driver takes
Earcons and musicons cannot exceed 90 decibels

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Storyboards

User named Emy, who is suffering from the trauma of reckless drivers on the road is utilizing our CARID system, more specifically the “notification radius of dangerous drivers” function, to reduce her anxiety so that she can get to her desired destination safely

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Paper prototype

Shows how potential users will interact with our system, CARID, shown via paper prototype.

Joon

The screen above is the paper prototype of our system. To briefly go through the steps of how our system works and what it looks like to set up our system to use the system to its fullest potential, first just like what we always do we walk up to the car and unlock the car with a car key, second start the car, lastly, scan your driver’s license on the ID scanner then the screen is going to show whether the access to drive the vehicle is granted or not, then it will show our information. The reason why we decided to add this “user information” page is that this will highlight the information that made the vehicle grant the access or deny the access. Then it will show user information and system customization icons, then if we go into the system customization page it will show three major functions of our system which are speed preferences, notification radius of dangerous drivers, and personal driving preferences, this is where we can set up all the settings for customized driving experience, then it will show the normal carplay screen where we can project our apps that are on our phone on the vehicle’s screen.

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Rapid prototyping

These are our rapid prototypes for the system displays. These screens provide a visual interface while using auditory cues.

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Evaluations

Participants:

10 participants, their ages ranging from 18 to 57

Structure:

Google Survey: subjective questionnaire
Subjective: user satisfaction, user preferences, improvements feedback
Objective: 1) time it took to navigate through the system 2) amount of errors made using the system

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Evaluations

User Tasks:

Enter and Gain access to the vehicle
After access is obtained, edit “Dangerous Drivers Notification” setting

Metrics:

Number of errors recorded and time it took for users to access “Dangerous Drivers Notification” setting
Survey Recorded Answers - user preference, likeliness of use, distractions (auditory and visual) etc.

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Citations

Pictures (APA Format) :

Slide 1 - Bos, C. (2020). Unshackling The Automotive User Interface, Altia Tells Us What We Are In For. Retrieved 23 April 2022, from https://cleantechnica.com/2020/02/29/unshackling-the-automotive-user-interface-altia-tells-us-what-we-are-in-for/

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Thank you!