CONCEPT

Argo is an augmented reality application that helps people learn a new language by challenging them to identify objects around them in the language that they want to learn It facilitates peer-to-peer learning that is engaging, fun and takes advantage of user’s environment.

OVERALL PROCESS

Photo of Me

TECHNOLOGY RESEARCH

Identify Objects

The app should be able to recognize real-world objects using camera and create label in different languages

Generate Label

The object recognition and label generating should be in real time as the users scans their surroundings by camera

Available APIs

Tensorflow Object Detection API

Tensorflow

YOLO Real-Time Object Detection

YOLO

COMPETETIVE ANALYSIS

COMPETETIVE ANALYSIS1

USER RESEARCH

7 Participants

4 Female Participants

3 Male Participants

Key Takeaways

  • Need to learn a new language when they move to a place where most people speak in a different language.
  • Some others said that it was a mandatory course in college. Motivated due to a TV shows or sports commentary.
  • Duolingo is the most popular language learning app because it is easy to learn and teaches language from scratch
  • Apps don’t provide in depth knowledge
  • Too many reminders and same kinds of questions
  • There is no one to practice the language with.

    • TARGET USERS

    TARGET USER1 TARGET USER2

    Getting our story right

    Round Types
    Matching, Paring, Translating
    Remote game play
    Challenge players from across the world.
    Points/Rewards/Leader boards
    Unlock new locations and round types.
    Adding a timer
    Stimulate greater competition/engagement.
    Exploration Mode
    Translate objects without having to play a game.
    Individual Mode
    Provide a single-player game option.
    Visual Word Map
    Cluster different types of words based on location.
    Image gallery
    Browse through images and words they have learned.
    Browse Popular Location
    Identify popular locations where people are actively playing Argo.

    Storyboard

    STORYBOARD

    PROTOTYPES

    User Testing


    According to the table, users found task 4 and task 6 very difficult. In the following section, we have outlined some of the important insights that we gathered from user testing round 1 and came up with some recommendations for medium-fidelity prototype.

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