Hive AI Platform Pemetaan Kanyaho ku Hive AI

Karya Hive AI Platform Pemetaan Kanyaho ku Hive AI nyaéta pamenang anu dihormat pisan tina 2025 A' Design Award Perak anu bergengsi dina Katégori Kompetisi Antarmuka.

PerakAntarmuka· 2025

Hive AI Platform Pemetaan Kanyaho

ku Hive AI

Klién: Hive AI

Pamenang A' Design Award Perak dina Katégori Antarmuka

59,042

Pamenang Panghargaan anu Diverifikasi

Verifikasi Status Panghargaan pikeun #169652

Tingali di A' Design Award Siaran Pers Lencana Panghargaan

Warna

Désain

Ngeunaan Hive AI Platform Pemetaan Kanyaho

Hive AI mangrupa platform pemetaan kanyaho pikeun para pelajar, profésional, jeung panalungtik. Platform ieu ngagunakeun titik-titik kanyaho ngawangun héksagon pikeun nyusun informasi anu pabalatak jadi kanyaho anu nyambung. Pamaké ngunggah téks, vidéo, jeung gambar, tuluy kecerdasan buatan méré saran tumbu, ngagabungkeun eusi anu patali, sarta ngaidentifikasi bagian anu masih kurang. Navigasi non-linier ngarojong éksplorasi bébas tinimbang jalur tanya jawab anu geus ditetepkeun. Témplat visual, saperti garis waktu sajarah jeung peta héksagonal tilu diménsi, midangkeun kanyaho kalawan jelas. Antarbeungeut anu résponsif ngarojong téma caang jeung poék.

Pangakuan

Ngeunaan A' Design Award Perak

Hive AI Platform Pemetaan Kanyaho mangrupa juara A' Design Award Perak, pangakuan anu luar biasa bergengsi anu dipasihkeun ka desain kelas luhur, endah jeung matak kagum. Para juara Perak téh karya anu pohara cemerlang jeung pohara kréatif anu ngagambarkeun kaahlian, bakat jeung kapinteran para désainerna. Hive AI Platform Pemetaan Kanyaho diharepkeun jadi karya anu éndah, karya andalan anu pohara profésional jeung pohara inovatif. Desain juara A' Design Award Perak ieu mangrupa panemuan anu pohara kasohor jeung dikagumi anu mangpaat sarta ngamajukeun watesan seni, élmu, desain jeung téknologi. Hive AI Platform Pemetaan Kanyaho mangrupa kréasi anu pohara diirikeun anu ngahudang kahayang, ngabawa rasa positip, jeung ngahudangkeun rasa heran jeung kagum.

Di Balik Désain

Kit Pers

Krédit, anggota tim sareng detil téknis anu disayogikeun ku désainer.

Sipat Unik: 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.
Diménsi & Bungkusan: 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.
Tag: Geneartive AI, Adaptive Learning, Personalization, Ed-Tech, Non-linear Interaction, Data Visualization
Téknologi Produksi: 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.
Tantangan Desain: 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.
Panalungtikan: 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.
Inspirasi: 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.
Durasi Proyék: Research - 1 Month

Concept and Prototyping - 2 Months
Design Finalization - 1.5 Months

Evolutives & APP Development: ongoing
Alur Operasi: 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.
Patén: Yongwen Dai, Xuefei Wang, Keqing (Clara) Jiao, Hanyong Yang, Huiyang Chen
Anggota Tim: Yongwen Dai
Xuefei Wang
Keqing (Clara) Jiao
Hanyong Yang
Huiyang Chen
Krédit Gambar: Yongwen Dai, Xuefei Wang, Keqing (Clara) Jiao, Hanyong Yang, Huiyang Chen