NegotiabblesによるNegotiabbles タブレットアプリケーション

NegotiabblesによるNegotiabbles タブレットアプリケーションは、教育・教材・研修コンテンツデザインコンペティションカテゴリーにおける非常に権威ある2026 A' Design Award 鉄賞の優れた受賞作品です。

鉄教育· 2026

Negotiabbles タブレットアプリケーション

デザイナー： Negotiabbles

クライアント: Negotiabbles

教育カテゴリーのA' Design Award 鉄賞受賞者

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カラー

デザイン

Negotiabbles タブレットアプリケーションについて

Negotiabblesは、幼稚園から中学2年生（K-8）までの子どもたちが交渉スキルを練習できるよう支援する教育用タブレットアプリケーションです。本アプリは、物を分け合う場面や意見の食い違いを解決する場面など、友だちとの間でよくある状況を、イラストで描かれた物語の章として提示します。子どもたちは人工知能のキャラクターと会話しながら、自分の要望を伝える、理由を述べる、相手の話を聴く、合意に至る、という流れを段階的に導かれます。各キャラクターの上に表示される感情バブルは、色・大きさ・形が変化し、感情の状態をリアルタイムで示します。まとめ画面では、使用した交渉の方略やセッションを通じた成長の記録が確認できます。

受賞

A' Design Award 鉄賞について

Negotiabbles タブレットアプリケーションは、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。Negotiabbles タブレットアプリケーションは、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。Negotiabbles タブレットアプリケーションは、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。

デザインの裏側

プレスキット

デザイナーが提供するクレジット、チームメンバー、技術的な詳細。

独自の特性: Negotiabbles is an educational app that helps children in grades K-8 build essential negotiation skills in a safe, playful, and story-driven environment. Many kids struggle to express needs or resolve conflicts and only 28% of children ages 6 to 8 can do so clearly. Our design transforms complex negotiation principles into age-appropriate role-play with AI characters, real-time feedback, and emotion-visualized interfaces. By turning peer conflicts into engaging learning opportunities, Negotiabbles empowers kids to grow confidence, empathy, and lifelong communication skills.
寸法とパッケージ: Digital application for tablets (10-inch, 2160 x 1620 px). Voice input with real-time AI response. Adaptive difficulty across K-8 stages. Cloud-based architecture supporting single-player, guided, and multiplayer modes. Emotion-visualized bubble interface rendered at 60 fps. Secure data handling for child users (COPPA-aligned).
タグ: Educational App, Children, Negotiation Skills, Social-Emotional Learning, AI Role-Play, Voice Interaction, Color Psychology, Emotion Visualization, Game-Based Learning, Conflict Resolution, K–8 Education, Interactive Storytelling, Child Development, Shape Psychology, Empathy Training
製造技術: User-centered iterative design process. Voice interaction via speech processing APIs, AI-driven role-play via NLP, real-time emotion visualization through a custom animation system built on color and shape psychology frameworks. Prototyping and usability testing with target-age children refined scaffolding and interaction patterns. Digital-first, cloud-based architecture.
デザインの課題: The central creative and research challenge was to make the invisible visible: negotiation is fundamentally a psychological process involving shifting emotions, competing needs, and evolving positions - none of which have an inherent visual form. The team needed to develop a visual language that could represent these dynamics in a way that is immediately intuitive to children as young as five, while remaining scientifically grounded and systematically scalable. The solution was the development of an "Emotional Periodic Table" - a structured visual vocabulary that combines two psychological frameworks into a unified motion-design system. Color psychology provides the chromatic axis: warm hues (reds, oranges) represent tension, frustration, and assertiveness; cool hues (blues, greens) represent calm, openness, and agreement; transitional tones (yellows, purples) represent uncertainty, curiosity, and shifting positions. Shape psychology provides the morphological axis: angular, spiky forms convey conflict, defensiveness, and high emotional intensity; rounded, smooth forms convey receptiveness, empathy, and resolution. These two axes combine to generate a matrix of emotion states, each represented by a distinct bubble form - a specific combination of color, shape, size, opacity, and movement behavior. For example, a large, red, angular bubble pulsing rapidly represents strong disagreement, while a small, blue, rounded bubble drifting gently represents calm agreement. The system includes transitional animations (a bubble softening its edges as tension decreases, or warming in hue as frustration builds) that create a continuous, readable motion language. The research challenge was ensuring that these mappings were not arbitrary but grounded in established color-emotion and shape-emotion associations from developmental and environmental psychology. The team cross-referenced color psychology literature (warm colors as activating, cool colors as calming) with shape psychology research (angular shapes as threatening, curved shapes as approachable) to build a mapping framework that aligns with children's intuitive perceptions. The resulting periodic table organizes all possible emotion-bubble states into a systematic grid, allowing the design team to ensure visual consistency, avoid redundancy, and create clear distinctions between emotional states. This system serves as both a design tool (guiding the creation of new scenario content) and a pedagogical tool (helping children learn to "read" emotions through visual pattern recognition). The motion language embedded in the bubbles: speed, direction, oscillation, merging and splitting behaviors, all add a temporal dimension that reflects how emotions evolve during a conversation, rather than presenting them as static labels.
リサーチ: This project investigates how interactive, AI-mediated role-play can support the development of negotiation skills in children aged 5-13 (grades K-8). Drawing on social-emotional learning (SEL) theory and child negotiation research, the study identifies a critical gap: while negotiation is a foundational interpersonal skill, it is largely absent from early education curricula. Existing data indicates that only 28% of children aged 6-8 can clearly articulate their needs in peer disputes, and that children with underdeveloped negotiation abilities face significantly higher rates of peer rejection by adolescence. The research proposes an emotion-visualized, voice-based application as an intervention tool. The design framework translates established negotiation principles: BATNA (anchoring, justification, and emotional regulation) into scaffolded, story-driven interactions with AI characters. The emotion visualization system, grounded in color psychology and shape psychology, maps internal states to external visual cues, enabling children to observe and interpret the emotional dynamics of a conversation as it unfolds. The study details the iterative, user-centered design process, including literature review, scenario development, interface prototyping, and usability testing with target-age users. Findings suggest that combining voice interaction, real-time visual feedback, and narrative framing creates an engaging and developmentally appropriate learning environment for practicing complex social skills.
インスピレーション: Negotiabbles came from research on social-emotional learning, revealing a gap between children's need for conflict resolution skills and available tools. Research shows that children with weak negotiation skills at age 8 are 2.5 times more likely to face peer rejection. Existing tools focus on emotions but not the full negotiation cycle. Inspired by storybook visuals and color-emotion psychology, the bubble interface makes abstract emotional dynamics visible through responsive shapes and colors.
プロジェクト期間: The project started in December 2024 and finished in June 2025 in the United States.
オペレーションフロー: The user flow begins with story selection, where the child chooses a scenario drawn from common peer situations such as sharing a resource, resolving a disagreement, or joining a group activity. Each scenario is framed as a storybook chapter with illustrated AI characters. Upon entering a scenario, the child engages in voice-based dialogue with the AI character, who presents a negotiation challenge. The interface displays dynamic emotion bubbles above each character. These bubbles shift in color, size, and shape in response to the tone and content of the conversation, providing real-time visual feedback on emotional states. As the child speaks, the system processes their input and the AI character responds contextually, guiding the child through negotiation stages: stating needs, giving reasons, listening, proposing compromises, and reaching an agreement. At each stage, the scaffolding system offers gentle prompts if the child needs support (for example, a prompt to explain their reasoning or consider the other character's perspective). After the scenario concludes, the child receives a summary screen displaying which strategies were used, how emotional states shifted during the conversation, and specific areas for continued development. Progress is recorded in a personalized negotiation profile that tracks growth across sessions and strategy types. In multiplayer mode, two children engage in a guided negotiation with each other, with the AI serving as a mediator that monitors turn-taking, emotional escalation, and strategy use, ensuring both voices are heard and the interaction remains constructive.
チームメンバー: Zixuan Li (Product Design Lead)
Xuefei Wang (UX Design Lead)
Lydia (Tiansui) Leiwang (UX Motion/Visual Design)
Zilu (Ruby) Wang (UX Design)
Huimeng Lu (UX Design)