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COVID-19 CONTACTER TRACER (Mobile)

Husky Tracing App

COVID-19 contact tracing app is a UI prototype app for Northeastern University students to keep track of the positive cases in the school and area. The student can report that they have tested positive for COVID-19 and the app gives access to the location of the student so that other students can determine if they have come in contact with them. This app can also send notifications to notify the student if there is another student within their class who has tested positive. Students can send their test results to whomever needs it. They can make COVID test appointments or reschedule them using the test scheduler in the app. Students can also perform daily wellness checks to check how they are feeling that day. This app was implemented in a team of 4 as a project for the Human Computer Interaction course.

Purposes
Tools
  • A systematic way to find COVID-19 related resources at Northeastern University.

  • Have the ability to access COVID-19 test results at any time, anywhere.

  • Keep the Northeastern community informed about recent COVID-19 cases

  • Low Fidelity Prototype: Hand sketch

  • Medium Fidelity Prototype: Balsamiq

  • High Fidelity Prototype: Axure RP

Main Tasks
  • Task 1 – Daily Wellness Check:

    • Complete the Daily Wellness Check that is provided by Northeastern so that administration can keep track of user’s symptoms

  • Task 2 – Schedule Appointment:

    • ​Schedule and/or cancel a COVID-19 test at one of Northeastern’s various testing locations.

  • Task 3 – Check/Send Results:​

    • ​View, select, and send any previous COVID-19 results to either a personal email or another individual’s email.

  • Task​ 4 – Mark as Positive:

    • ​After receiving a positive result, marking self as positive will alert others who may have had some exposure to the virus.

Low Fidelity Prototype

Daily Wellness Check

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Schedule Appointment:

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Check/Send Result:

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Mark Positive:

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Medium Fidelity  Prototype
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High Fidelity Prototype
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Interactive COVID-19 Contact Tracing App


Username: rails.r@northeastern.edu
Password: hci

SUMMATIVE EVALUATION
  • Task-Based Efficiency

    • Task completion time in seconds​

    • Number of clicks

    • Mental efforts

  • Task-Based Effectiveness

    • Task completion rates​

  • User Satisfaction

    • After scenario questionnaire​

Scenarios
  • Schedule appointment 

    • ​You’re planning to be on campus next week. Use the app to schedule an appointment.

  • Cancel appointment

    • ​You’re scheduled for an appointment but you have an exam at the time. Use the app to cancel your appointment.

  • Complete the daily wellness check

    • ​You’re scheduled for a test today. You need to complete a self check before it. Use to app to do that.

  • Send test results to self

    • ​You needed to show your negative result at the airport before you travel. Mail the test results to yourself.

  • Send test results to others

    • ​Your AirBnb host needs proof of your negative test result before confirming your stay. Mail them your result.

  • Mark yourself positive

    • ​Your test results came back positive. Mark yourself positive on the app so others know they came in contact.

Results

Overall User Experience Measurement Metrics

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Task Completion Rates

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Time on Tasks

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Task-Based Usability

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Overall Perceived Usability

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Percent Satisfaction(%) = Very Low and Moderate Low responses combined & High and Very High for the 4th one.

Usability Issue
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Level of Severity scale

  • 0 = Not a usability problem at all

  • 1 = Cosmetic problem only

  • 2 = Minor usability problem

  • 3 = Major usability problem

  • 4 = Usability catastrophe

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Discussion

Our high-fidelity prototype received overwhelming positive feedback from all of the participants. We had a 100% overall satisfaction for usability. All of our users were able to complete the tasks which led to 100% completion rates across all 6 tasks. For our task based usability, we had >90% overall satisfaction. The time spent on the tasks showed that users were able to navigate through the app to complete the tasks given to them. This data provided us the necessary information we needed to observe learnability, efficiency, memorability, error issues, and satisfaction of our COVID-19 contact trading application.

There were, however, a few issues that were brought up during the post-usability test discussion with the users. This, coupled with the data we collected, led us to conclude that the complexity between tasks and times the user spent to navigate the application far exceeded our expectations. The table below shows our participants' usability issues and their suggested recommendations for any design changes. It is essential to consider the issues that were found and to fix them according to the user's suggestions. Along with the table, we also used a level of severity scale and defined what each level means. For the final high-fidelity prototype, our goal is to address all of these usability concerns and implement each of the recommendations to rectify any issues that were mentioned.

Conclusion

Perhaps the biggest takeaway from this usability test is that our users may think differently about approaching specific tasks on a mobile application. Some things were not as intuitive to them as we thought. Fortunately, there were some design changes that were recommended which helped us get more insight on how they approached some of the tasks. 

One example of a limitation we faced while conducting the usability test is having to complete the evaluation process via Zoom. This proved to be difficult because we were able to only focus on facial expressions and not body language, which helps give further insight on how one feels about a particular task they are doing. Another limitation was not getting to a wider user demographic. One thing we would do differently is to try to get users from various academic backgrounds and education levels (ie. Undergraduates, PhD students, and Faculty).

Future Areas of work
  • Adding a live map that shows all the hot spots in Boston or within a range of miles. This would be beneficial because it could allow users to plan their travels and to avoid hot spots. 

  • Automatically scheduling a month in advance for COVID-19 testing. This can be helpful for the user so that they don’t forget to schedule their next appointment and be on top of NEU’s testing protocols for being on campus. 

  • Letting the school control a student’s positive status so the student doesn’t unethically avoid marking themselves positive.

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