Hive AI Platform Pemetaan Pangatahuan by Hive AI

Perak Antarmuka · 2025

Hive AI Platform Pemetaan Pangatahuan

by Hive AI

A' Design Award Perak 2025 in Antarmuka
CLIENT: Hive AI
Estimated Number of Design Views: 57,436
Verification code EB71E69C7A · Verify this award

View at A' Design Award Press Release

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About Hive AI Platform Pemetaan Pangatahuan

Hive AI adolah platform pemetaan pangatahuan untuak urang nan sadang baraja, profesional, jo peneliti. Platform iko manggunoan simpul pangatahuan babantuak heksagon untuak manyusun informasi nan tapisah-pisah manjadi pangatahuan nan tahubuang. Pangguno dapek maunggah teks, video, jo gambar, sudah tu kacerdasan buatan maagiah saran kaitan, mangalompokkan konten nan bahubuangan, sarato mangenali bagian nan kosong. Navigasi nonlinear mandukuang penjelajahan bebas, indak taikek jo jalur tanyo jawab nan tatap. Templat visual, saroman garis wakatu sajarah jo peta heksagonal tigo dimensi, manampilan pangatahuan sacaro jaleh. Antarmuko nan responsif mandukuang tema tarang jo galok.

About the A' Design Award Perak

Hive AI Platform Pemetaan Pangatahuan adolah pamenang A' Design Award Perak, sabuah pangakuan nan luar biaso bapresti nan dibarikan ka rancangan tingkaik tatinggi, elok jo mangesankan. Pamenang Perak adolah karya nan sangaik cemerlang jo sangaik kreatif nan mamparlihatkan kapakaran, bakaik jo katajaman pikiran parancangnyo. Hive AI Platform Pemetaan Pangatahuan dipaokan manjadi karya nan mangaguikan, contoh tauladan, sangaik profesional jo inovatif sacaro dalam. Rancangan nan manang Perak iko adolah panemuan nan nampak jo dikagumi nan mambari sumbangan untuak maluaskan batas seni, ilimu, rancangan jo teknologi. Hive AI Platform Pemetaan Pangatahuan adolah ciptaan nan dicamburui banyak urang, nan mambangkikkan karinduan, mambaok parasaan positif jo malahiakan karagumon jo kakaguman.

Press Kit

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.
Dimensions & Packaging: Designed for adaptability, efficiency, and reliability, the platform features a responsive interface optimized for various screen sizes, supporting landscape and portrait modes. Users can personalize their experience with light and dark themes, while cross-device compatibility ensures accessibility. AI-driven adaptability enhances learning preferences, providing real-time interactions with secure performance. Hive AI integrates technical precision with user-friendly design, delivering a dynamic, intuitive experience tailored to individual needs.
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.
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.
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.
Patents: Yongwen Dai, Xuefei Wang, Keqing (Clara) Jiao, Hanyong Yang, Huiyang Chen
Image Credits: Yongwen Dai, Xuefei Wang, Keqing (Clara) Jiao, Hanyong Yang, Huiyang Chen