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IU Ride

The Schedule based carpool app

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Addressing the problem of parking on IUPUI’s campus and creating a better experience for students,staff and visitors through carpooling app.

OVERVIEW

Students at IUPUI complain about a lot of things: teachers, classes and homework. But if there is one problem at the forefront for the 30,105 students and over 2,500 faculty members of Indiana university- Purdue university Indianapolis, it’s the continue problems with parking.

PROBLEM

How might we help in resolving the parking issue for students,staff and visitors at Indiana university Purdue university campus?

SOLUTION

I worked with a small team to design a carpooling smartphone application which will eventually reduce the total number of cars coming to campus and will enhance user’s experience in regards to parking as well as commuting to campus.

MY ROLE

I was part of the design team and responsible for strategizing the design and prototyping the concept. I worked as an interaction designer and did sketching, testing mockups, iterating design and testing the design with the potential users.

DESIGN PROCESS

We followed user centered design methodology that leads to concrete design solutions through iterative design process with focus on the users and their needs.

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RESEARCH

Identifying the problems

The main goal of the research was to understand the goals, motivations and pain points of the user so that we could design a better solution for them.

Field Observations

I decided to do field observations to gain insight on what users actually do in context.

People were struggling to find parking places on weekdays (generally during morning hours) whereas things were different in evening hours and on weekends. More than 30% spaces were available during weekday evening hours and more than 50% were available on weekends.

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Interviews

We conducted semi-structured interviews with 6 students and 2 faculty members to understand the problem space and their overall experience of commuting to school and parking at campus. This helped us to explore different problems & go deep down into major issues that they currently face.

Research about existing solution

We studied existing parking app of IUPUI -JagSpots app

Limitations of existing solution-

  • Information is not detailed enough

  • No real time data available

  • Less reliable and accurate

Also, we were surprised to learn that none of the participants had used the JagSpots app yet.

DATA ANALYSIS

Affinity Diagramming

Based on the notes from observations and interviews, we constructed affinity diagram to categorize our findings and to get better understanding of collected data.

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Concept Mapping

Post affinity diagramming session, we did concept mapping to finalize main topics, understand associated sub-topics and other key points for final design requirements.

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Key Findings

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Current application is not effective

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No access to public transportation for those who commute from outside of the city

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Searching for parking takes very long time

Need to leave early to accommodate for finding parking

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Everyday driving is costly

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Difficult to find people of similar schedules to carpool with

USER PERSONA

Understanding the user

Based on our research data, we created a persona that represent the problems faced by our respondents.

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Framing the problem

The major problems and needs are listed as follows:

  1. Users want to minimize the amount of time they spend searching parking spaces on campus

  2. Users need a solution that benefit all commuters rather than just those that live around downtown

  3. Users want options that will allow them to commute to campus for a lower cost

  4. Users want a convenient solution that requires less effort on their side

BRAINSTORMING

Exploring ideas & opportunities

We took the main features from our data analysis sessions and brainstormed about the possible solutions.

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STORYBOARDING

The goal was to take the ideas we have generated in the brainstorming sessions and sketch an actual use case on how a user would move through this part of the story. Finally after storyboards, we were able to decide which functionality suits most for our scope and serves best to the user.

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SELECTED SOLUTION

Carpool Mobile Application

Our final decision came out as designing a carpool app for IUPUI students. The idea of designing carpooling application was chosen because:

1)      Most cost-effective way as students can save money on

           a)      Vehicle maintenance

           b)      Gas and parking fee

2)      Increase in carpooling will result into reducing parking space issue

3)      Although carpooling is not a novel concept, we didn’t find any existing system focused on                 carpool for students, faculties and visitors of university.

4)      Reduces stress of commute and allows you to read, work, enjoy or relax while commuting

5)      Help you meeting new people and make new connections

6)      Reduces traffic congestion and air pollution, benefiting all of us

Defining the functionalities

We finally decided the main features of our proposed solution ‘IU Ride Carpool’.

We finally decided the main features of our proposed solution ‘IU Ride Carpool’.

Schedule upload and matching

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Schedule matching feature of system will facilitate finding another best match user/users to carpool with.

Instant Messaging

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This solution will facilitate contacting best match users through messages

Real Time Notices

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This solution will facilitate posting notices and get everyone in the group updated for the same.

Vehicle Tracking

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By tracking the carpool vehicle through GPS feature, other passengers will get to know exact arrival times and distances

WIREFRAMING

Low Fidelity Prototype

Based on our requirements and scenarios, we created initial prototype using paper and pencil as this technique allows quick edits. All team members came with one wireframe each and selected best suited screens as per our requirements. We followed this process, because we wanted to invest each of our design thoughts into the app screens, to come up with the best application flow.

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High Fidelity Prototype

Refined the design based on findings from cognitive walkthrough evaluation on low-fidelity prototype.

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Link Schedule

Link IU schedule to facilitate results according to schedule match, also allows manual editing of schedule if needed.

Results according to schedule match

Get results of individual users or other already formed carpool groups whose schedule matches with yours.

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Instant chat and group forming

Firstly, user can know more about another user through instant messaging and then can form carpool group.

Group Information & Real-Time Notice

Get to know or change group’s driver from group screen. Also, members can post urgent notice to all the group members if any.

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Group Chat & Trip Tracking

Members can chat within group.

Ongoing trip or vehicle tracking is possible through ‘Tracking’ option in the menu.

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TESTING

Evaluation & Walkthroughs

We conducted cognitive walkthrough and user testing. Cognitive walkthrough was done on initial paper prototype, we ourselves evaluated it to find major improvements and flaws with the designed system. With this round of evaluation, we could gather some valuable feedbacks of all our team members for further exploration and design.

User Testing

We recruited five students & one faculty of  school to test our high fidelity prototype. We asked each of them to complete three tasks that utilize primary functionalities of the app and to think aloud the experience, ideas or thoughts regarding the prototype.

This testing helped us in answering below questions:

  1. Are the features of the application useful for users who are willing to do carpool?

  2. Is this application easy to use? Will the user know how to navigate through the interface and use it?

  3. Are there any changes needed to improve this application?

Key finding from testing

Our application and idea was praised by all of our participants. They found this concept very novel and especially useful for college students/faculties.

Most of them did not face issues in completing the tasks. When checking menu options, one participant wanted to see the screens for payment flow too. Furthermore, one participant provided suggestion regarding adding more options on profile screen especially for drivers such as information about their car, ratings/verification of drivers and modifying the group notice system to have members of a group check in to confirm attendance rather than report not being available.

CONCLUSION

Reflection

The different types of evaluations provided us with many insights on ways we could improve our design. Cognitive walkthrough was useful, but the think aloud was probably the most valuable source of insights. Hearing from the users directly means that the feedback from this method is usually the most prevalent. Taking into account the opinions from real users ensures that the final design will meet the criteria that users will have in mind when using the app.

 

I also learnt that  It is important to mock-up the interface as early as possible because by interacting with the mock-up, you get clear information about the information architecture and other uncertainties.

Next Steps

We had few concepts that we wanted in the app, but they weren’t high priority and due to time limitations, they weren’t included in our prototype. If we were to continue working on the app, we would want -

  • Feedback/rating System- Drivers/riders should be able to give ratings to one another

  • Reward System- Incentives to students to motivate them for carpooling

  • Payment- For groups to organize a way of compensating drivers, preferably by linking Paypal or Venmo through our app.

Hi! Thank you for viewing my work. Did you like it? Have any comments? Get in touch!

Email me at: monicaasharma12@gmail.com

Follow me at: LinkedIn

©2020 by Monica Sharma

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