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Moodo 感情認識アプリ by Aishwarya Suresh and Jaylon Tellis

Moodo 感情認識アプリ by Aishwarya Suresh and Jaylon Tellis is a highly esteemed winner of the very prestigious 2025 A' Design Award 鉄賞 in インターフェース・インタラクション・UXデザイン Competition Category.


鉄インターフェース· 2025

Moodo 感情認識アプリ

by Aishwarya Suresh and Jaylon Tellis

Client: Tinker Works

A' Design Award 鉄賞 Winner in インターフェース Category

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Verified Award Winner

Verify Award Status for #167658

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The Design

About Moodo 感情認識アプリ

Moodoは、子どもたちが自分の感情を認識し表現することを支援する魅力的なiPadアプリです。直感的なスライダーを使って、基本的な感情とそのより繊細な層の両方を探索できます。親しみやすいロボットのガイドのもと、自分の気持ちを特定し、それらを管理するためのカスタマイズされたヒントを受け取ることができます。従来のエモーションホイールを再考することで、Moodoは感情知性を理解しやすく、楽しく、そして子どもたちにとってアクセスしやすいものにしています。

The Recognition

About the A' Design Award 鉄賞

Moodo 感情認識アプリは、よく設計された創造物に期待される専門的・産業的要件を満たす優れたデザインに授与される、権威ある評価である A' Design Award 鉄賞の受賞作品です。鉄賞の受賞作品は、制作者の高い技量、高度な専門性、専門家としての理解、創造的な能力を示しています。Moodo 感情認識アプリは、高く評価され、称賛され、愛される、実用的で革新的な創造物であることが期待されます。この A' Design Award 鉄賞を受賞したデザインは、業界のベストプラクティスを統合し、ノウハウと才能に結びついた有能な技術的特性を備えています。Moodo 感情認識アプリは、その徹底ぶりで尊敬され、世界をより良い場所にするための生活の質の向上をもたらすよう設計されています。

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties
Moodo is an innovative iPad app that helps kids understand and express their emotions in a fun, interactive way. Through a unique slider interface, children can easily explore core feelings and their subtle layers. With the guidance of a friendly robot character, they can pinpoint their emotions and receive personalized coping tips. Moodo reimagines the traditional emotion wheel, making emotional intelligence simple, engaging, and accessible for young minds.
Dimensions & Packaging
The app is for iPad and Android tablets which are commonly used devices by children
Tags
emotions, emotion wheel, dynamic slider, child, kids, children, friendly, robot, novel interactions, user experience, user interface, emotional intelligence, emotional development, education, emotional wellness, AI, dynamic dialog, GPT model
Production Technology
We used the design thinking process to create a solution for children to develop emotional intelligence. This iterative approach helped refine designs in Figma, producing wireframes, high fidelity screens, and interactive prototypes for user testing. The app integrates an emotion database and a conversational AI engine (e.g., GPT models) to drive dynamic, context-aware dialogues, enabling real-time emotional recognition, adaptive responses, and personalized interactions based on user input.
Design Challenge
Teaching young kids, especially about emotions which is a topic even adults struggle with, can be challenging. Our biggest challenge was taking a complex concept, traditionally shown in emotion wheel diagrams, and reimagining it in a way that is easy, engaging, and accessible for kids. Conducting usability studies and extracting meaningful insights was also an unexpected challenge as these young kids are just learning to express themselves.
Research
A literature review on emotional development in children was conducted, tracing the evolution of emotions from infancy to adolescence. Research by the American Academy of Pediatrics shows that emotional intelligence leads to more self-confident individuals. A usability study with children aged 5 to 8 provided insights that informed key adjustments, resulting in a simplified, child approved app designed to effectively engage young users while supporting their emotional development.
Inspiration
Inspired by my five year old son, Moodo helps young children understand and express their emotions. At this age, kids often struggle with feelings like frustration or anger, leading to tantrums. While there are tools for parents to identify emotions in babies and toddlers, there is a gap in resources designed to teach preschoolers about emotional intelligence. Moodo aims to fill that gap, helping kids recognize, understand, and express their emotions in healthy ways.
Project Duration
Project inception was in December 2024 in Houston and Los Angeles. Brainstorming, ideation, user research, usability study and design iterations virtually took place in January 2025.
Operation Flow
Moodo starts with a friendly robot who helps the child identify their emotion using a unique slider. The robot mirrors the emotion and engages in an interactive dialogue. The background changes to match the mood, and the child is guided to explore more nuanced emotions. They can describe the situation behind their feelings to the robot. A weekly recap helps the child track emotional growth and reflect on their increasing emotional intelligence over time.
Patents
No Patents
Team Members
Aishwarya Suresh
Jaylon Tellis
Image Credits
Image #1 : Creator (UX Tech Lead) Jaylon Tellis, Moodo, 2025
Image #2 : Creator (UX Tech Lead) Jaylon Tellis, Moodo, 2025

Image #3 : Creator (UX Tech Lead) Jaylon Tellis, Moodo, 2025

Image #4 : Creator (UX Design Lead) Aishwarya Suresh, Moodo, 2025

Image #5 : Creator (UX Design Lead) Aishwarya Suresh, Moodo, 2025

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