GAID

🧠 Visual Perception Training Game for Children with Intellectual Disabilities 👑 2nd Place @ ICCAS 2024 (UK)

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🎯 Project Overview

GAID (Game for Attention and Intellectual Development) is a Unity-based mobile game that aims to enhance the visual perception, short-term memory, and concentration of children aged 5–12 with mild to moderate intellectual disabilities.

👧👦 “An engaging game with visual/audio effects and eye-tracking designed for neurodiverse learners.”

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📅 Duration

2024.03.26 ~ 2024.08.05

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🌍 Competitions

• 🇬🇧 ICCAS 2024 – 2nd Place Winner 🏆
• 🇬🇧 EKC 2024

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🧠 Why This Game?

Traditional visual perception training programs have key limitations:

• ❌ Lack of motivation due to static content
• ❌ Insufficient engagement from children
• ❌ Not optimized for mobile familiarity

GAID solves this with:

• ✅ Interactive gameplay using eye-tracking (SeeSo SDK)
• ✅ Cute characters & sound effects to keep users engaged
• ✅ Familiar mobile interface & gamified structure

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🏗 System Architecture

• [S1] Firebase Authentication – 사용자 인증
• [S2] Firebase Firestore – 훈련 진행도 및 유저 정보 저장
• [S3] Firebase Cloud Storage – 정적 리소스 저장
• [S4] SeeSo – 시선 추적 (Eye Tracking)
• [S5] Local DB – 훈련 결과 저장 (JSON)
• [S6] Unity – 전체 앱 구현

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📊 Collected Metrics

Metric Description Play Time Total duration of game interaction Accuracy Attempts vs. correct answers Concentration Gaze-based attention measurement using SeeSo Progress Score Survey-based scoring reflecting intellectual disability severity

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🎮 Training Areas

Visual Perception Type Description Visual-Motor Coordination Gaze at target character to move it to destination Figure-Ground Perception Distinguish target object from background Perceptual Constancy Recognize same object regardless of size/orientation changes Perception of Position Understand spatial relationships between objects Spatial Relationships Identify relational position between multiple objects

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🛠 Technologies Used

• Unity (C#)
• Firebase Suite (Auth, Firestore, Storage)
• SeeSo SDK – Gaze tracking
• Android/iOS platform support

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🔮 Future Plans

• ➕ Add more training modules and levels
• 🌍 Expand support to wider age groups and other disabilities
• 📈 Conduct empirical research for efficacy validation

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🙋‍♀️ Contributors

•	Seonwoong Hwang (Pusan National Univ.)
•	Yui Cho (Inha Univ.)
•	Sojeong Kim (Kyungwoon Univ.)
•	Donggyu Na (Chungbuk National Univ.)
•	Advisor: Mihye Kim (Chungbuk National Univ.)

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🖼️ Poster