Hive AI

Knowledge Mapping Platform for Hive AI

Hive AI replaces traditional AI learning tools that follow a rigid question-answer model, allowing learners greater autonomy to explore knowledge freely rather than being confined to fixed paths. Using hexagon knowledge nodes and AI-driven recommendations, it structures fragmented information into interconnected insights, fostering nonlinear learning and deeper understanding. The platform integrates dynamic data visualization, enhancing knowledge retention and presentation. With AI-assisted navigation, Hive AI ensures an intuitive and adaptive learning experience.

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Hive AI by Yongwen Dai

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Knowledge Mapping Platform by Yongwen Dai

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Yongwen Dai Hive AI

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Yongwen Dai Knowledge Mapping Platform

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Unique Properties

Hive AI is a transformative learning platform that enables learners to build personalized knowledge systems. With the unique “hexagon knowledge nodes” and AI-driven tools like tailored recommendations, knowledge grouping, and dynamic data visualization, Hive supports students, professionals, and researchers in fostering interdisciplinary exploration and managing complex information.

Tags

Geneartive AI, Adaptive Learning, Personalization, Ed-Tech, Non-linear Interaction, Data Visualization

Production Technology

Hive AI's technology was developed through an iterative, data-driven approach leveraging advanced neural networks. The product mission guided development, ensuring the machine learning framework effectively organizes users' thoughts into structured knowledge. Rigorous testing and refinement perfected the node-based architecture for seamless non-linear exploration. The final system prioritizes adaptability, efficiency, and reliability, empowering users with a dynamic, personalized learning experience.

Design Challenge

How can node-based interactions feel as intuitive as conversation-based AI? This challenge explores motion design, iconography, and cognitive flow for seamless user adaptation. By researching existing node-based systems, the effectiveness in guiding eye movement and mental mapping was evaluated, identifying both strengths and gaps. Through user testing, motion and icons for clarity and usability were refined. The goal is to create a visually intuitive, AI-assisted system that preserves familiar interaction patterns while enhancing how users navigate complex knowledge structures with ease and engagement.

Project Duration

Research - 1 Month
 Concept and Prototyping - 2 Months Design Finalization - 1.5 Months
 Evolutives & APP Development: ongoing

Operation Flow

The system structures fragmented information into interconnected knowledge. Learners upload and organize content - text, videos, and images - and AI enhances connections and identifies gaps. - Node Expansion builds knowledge structures based on interests. - Gap Bridging links concepts for deeper understanding. Structured Organization groups information for easier memorization. - Nonlinear Exploration enables dynamic navigation. Hive AI also provides visual templates, like historical timelines and 3D hexagonal maps, making knowledge presentation more intuitive and effective.

Research

Type: Competitive & User-Centered Design Research Objective: Enhance exploratory, autonomous learning with AI-powered tools. Methodology: Surveys, interviews, and usability testing. Tools: Google Forms, SurveyMonkey, Zoom, Figma prototypes. Participants: 100 technology enthusiasts Results: Optimized node connection interactions. Improved accessibility with refined UI. Prioritized key data visualization methods. Insights & Impact: AI-driven design enhances learning efficiency, accessibility, and critical thinking, fostering a more engaging and effective digital education experience.

Inspiration

Hive AI epitomizes usability, efficiency, speed, and reliability. Drawing on generative AI and mind-mapping, it transforms learning into a dynamic, personalized journey. Market research shows 78% of users find current tools limiting, revealing a major business opportunity. With elegant simplicity, fluid design, and smart organization, Hive AI redefines learning and unleashes creativity.

Image Credits

Yongwen Dai, Xuefei Wang, Keqing (Clara) Jiao, Hanyong Yang, Huiyang Chen

Project Overview

Hive AI Knowledge Mapping Platform has been a Silver winner in the Interface, Interaction and User Experience Design award category in the year 2024 organized by the prestigious A' Design Award & Competition. The Silver A' Design Award celebrates top-tier designs that embody excellence and innovation. This award acknowledges creations that are not only aesthetically pleasing but also highly functional, reflecting the designer's deep understanding and skill. Silver A' Design Award recipients are recognized for their contribution to raising industry standards and advancing the practice of design. Their work often incorporates original innovations and elicits a strong emotional response, making a notable impact on the improvement of everyday life.

Silver Recognition

Yongwen Dai was recognized with the coveted Silver A' Design Award in 2025, a testament to excellence of their work Hive AI Knowledge Mapping Platform.

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