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EYEdentify: An Engaging Emotion Learning Game for Autistic Children

EYEdentify is an innovative app designed to help autistic children learn and identify four core emotions: happy, sad, confused, and frustrated. The app features a simple matching game that promotes translatable skills through an engaging user experience. Utilizing evidence-based research, it includes visually appealing UI elements and sensory incorporation like camera, microphone, accelerometer, and a touch screen. Future updates aim to expand emotional recognition, enhance gameplay statistics, and provide comprehensive user support for effective learning.

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EYEdentify: An Engaging Emotion Learning Game for Autistic Children

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  1. EYEdentify Learning Emotions for Autistic Children

  2. Goal • Create a simple matching game • App to help kids learn 4 emotions: happy, sad, confused and frustrated • Gain transferrable skills • Creating an engaging user experience

  3. Design • UI designed to be visually appealing to children • Sensors incorporated: • Camera • Microphone (media player and media recorder) • Accelerometer • Touch screen

  4. Design cont’d • Evidence Based Research • Have 3 classes of “faces” that can be identified by players

  5. Design cont’d • Evidence Based Research cont’d • Gameplay experience • Music on throughout gameplay • Shake detection to initiate user “calm down” • Theories of learning for question delivery

  6. App Demonstration

  7. Learning Process • Realized too late that the emphasis on the visuals is primary so our screen real estate needed to be reconfigured • Make it a tablet app • Should have conducted usability trials early in the process • Should have made code more extendable to enable expandability of the game

  8. Future Work • Conduct research on the app • Expansion of: • Emotions in rotation • Gameplay • Expand statistics by adding comprehensive data visualizations • Add general “help” section and “info” pages to help with user setup and interpretation of data

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