Personalizing public
transportation through AUI.
Personalizing public transportation through AUI.
Proposed solution streamlines user interaction from 5 to 3 steps, enhancing satisfaction and efficiency.
Proposed solution streamlines user interaction from 5 to 3 steps, enhancing satisfaction and efficiency.
Challenge
Brainstorming apps that are used at least once a week and has potential to incorporate AUI to facilitate the user flow.
Tools
Ae, Figma, Bezi
Duration
Fall 2023, 2 weeks.
Challenge
Brainstorming apps that are used at least once a week and has potential to incorporate AUI to facilitate the user flow.
Tools
Figma, Research, Matchmaking
Duration
Fall 2023, 2 weeks.
Getting Started
What is Transit?
Transit app is a mobile application that provides real-time information about public transportation options in cities around the world. The app allows users to easily plan their route using various modes of transportation, including buses, trains, subways, and bikeshares.
The Concept
Transit currently
The current Transit UI requires 5 steps for configuring a destination route regardless of where the user is headed.
The Concept
Proposed AUI
The proposed AUI streamlines the process into 3 interactions, reducing friction from 5 steps. It saves time by simplifying route comparison. Users are alerted to the best route. Early notifications help users avoid missing their commute and being late.
Further prediction based on AUI scanning
But what if it gets my predicted destination wrong?
The AUI system will also offer anticipated destinations based on time and location, along with additional bus line details for each recommended destination.
Painpoints
What it aims to do
Getting Started
What is Transit?
Transit app is a mobile application that provides real-time information about public transportation options in cities around the world. The app allows users to easily plan their route using various modes of transportation, including buses, trains, subways, and bikeshares.
Concept Enactment
Concept Enactment
How does the implemented AUI work?
How does the implemented AUI work?
The Concept
Transit currently
The current Transit UI requires 5 steps for configuring a destination route regardless of where the user is headed.
Painpoints
Redundant user inputs from app launch to navigation.
Transit does not recognize repetition in patterns.
User is likely to be late by missing the best option.
When user is in a rush, friction points are amplified.
Redundant user inputs from app launch to navigation.
Transit does not recognize repetition in patterns.
User is likely to be late by missing the best option.
When user is in a rush, friction points are amplified.
The Concept
Proposed AUI
The proposed AUI streamlines the process into 3 interactions, reducing friction from 5 steps. It saves time by simplifying route comparison. Users are alerted to the best route. Early notifications help users avoid missing their commute and being late.
What it aims to do
Notify the user before estimated arrival.
Prediction of potential destination and/or route.
Repair of inference errors when the prediction fails.
Suggestion of fastest transportation method.
01
Transit will notify users based on travel patterns.
Notification based interactions
Notify the user before estimated arrival.
Prediction of potential destination and/or route.
Repair of inference errors when the prediction fails.
Suggestion of fastest transportation method.
The AUI system will alert users based on their travel patterns, allowing them to check bus arrival times without unlocking their phones or accessing the Transit app.
The AUI system will alert users based on their travel patterns, allowing them to check bus arrival times without unlocking their phones or accessing the Transit app.
01
Transit will notify users based on travel patterns.
Notification based interactions
02
On spotlight, Transit will recommend destinations
Search / spotlight based interactions
03
In-app options to add specific bus information
A streamlined approach for accessing precise bus information without constant app navigation.
04
Implementation of visual queues
With this functionality, users can promptly estimate the distance of a bus visually.
Implementing a "easy Transit" option to allow users quickly add bus information based on AUI detection of past destinations.
02
On spotlight, Transit will recommend destinations
On spotlight, Transit will recommend destinations
Search / spotlight based interactions
Implementing a "easy Transit" option to allow users quickly add bus information based on AUI detection of past destinations.
Further prediction based on AUI scanning
But what if it gets my predicted destination wrong?
The AUI system will also offer anticipated destinations based on time and location, along with additional bus line details for each recommended destination.
03
In-app options to add specific bus information
In-app options to add specific bus information
A streamlined approach for accessing precise bus information without constant app navigation.
The visualization will adjust colors based
on the bus line.
04
Implementation of visual queues
Implementation of visual queues
With this functionality, users can promptly estimate the distance of a bus visually.
The visualization will adjust colors based on the bus line.
Application of this AUI
Profitability
Application of this AUI
Profitability
Value creation for user
Value creation for user
Reduces friction in customer experience.
Reduces friction in customer experience.
Increases user reliance on app for accuracy.
Increases user reliance on app for accuracy.
Saves valueable time for the app's users.
Saves valueable time for the app's users.
User is less likely to miss public transportation.
User is less likely to miss public transportation.
Revenue creation for partners & transit.
Increased user reliance on transit, leading to higher MAU and app usage frequency.
Improves user retention and subscription revenues for transit.
Increases in-app payments / revenues for partner agencies.
Potential to increase premium pricing in the long term with minimal impact on user volumes.
Financial Viability
Increases app retention and repeat payments for transport agencies and Transit.
Technical Viability
User travel history logs need to be stored, processed, and used to train the algorithm in order to provide adaptive predictions for users.
Sources of data include open APIs from transport agencies and real-time crowdsourced data.
Revenue creation for partners & transit.
Increased user reliance on transit, leading to higher MAU and app usage frequency.
Improves user retention and subscription revenues for transit.
Increases in-app payments / revenues for partner agencies.
Potential to increase premium pricing in the long term with minimal impact on user volumes.
Application of this AUI
Return on investment
Hey.
User Acceptance
User Acceptance
Reduces friction from 5 steps to 3.
Reduces friction from 5 steps to 3.
Saves time spent comparing routes.
Saves time spent comparing routes.
Alerts user to the best route to destination.
Alerts user to the best route to destination.
Helps user avoid missing their commute with an early notification.
Helps user avoid missing their commute with an early notification.
Financial Viability
Increases app retention and repeat payments for transport agencies and Transit.
Technical Viability
User travel history logs need to be stored, processed, and used to train the algorithm in order to provide adaptive predictions for users.
Sources of data include open APIs from transport agencies and real-time crowdsourced data.