Course Project • Highlights

Study Space Finder | CPSC 544 Course Project

  • user study
  • woz prototyping
  • figma
  • nvivo
  • esp8266
  • 2021

The Study Space Finder app was designed to address the challenges students face when searching for study spaces on campus. By integrating real-time occupancy information, detailed space data, and user reviews into a cohesive mobile experience, the app aimed to save time and enhance productivity for university students.

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Key Features

  • Real-Time Occupancy: Live data on space availability for efficient decision-making.
  • Comprehensive Space Listings: Includes both formal and informal spaces with filters for proximity, amenities, and preferences like quiet areas or food access.
  • User Reviews: Students can rate and review spaces they have visited.
  • Physical Button: To indicate the occupancy of the seat.

Process

  • Research and Ideation:
    • Conducted qualitative interviews and observations with UBC students to identify study space preferences and frustrations
    • Defined 2 primary personas: a busy graduate student looking for efficient and quick solutions, and an undergraduate seeking to explore new study spaces for inspiration
    • Analyzed user needs to establish functional and non-functional system requirements
  • Prototyping:
    • Iterative prototyping (low- to medium-fidelity) focused on user needs
    • Low-fidelity prototyping done Wizard-of-oz style (using paper models)
    • Medium fidelity prototype created in Figma, connected to a Google Sheet as database.
    • An ESP8266 board was used to poll the status of a button and update the status of a test seat in the database.
  • User Testing:
    • Conducted usability tests with participants representing typical users.
    • Results showed the app was intuitive and functional, reducing time spent searching for spaces and offering a cohesive user experience.
  • Outcome:
    • The Study Space Finder app received positive feedback for its intuitive design and learnability, comprehensive integration of real-time data and user preferences, and potential to save time and improve study routines.

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