Qullqi Tinkinakuy · 2025
Hive AI Yachay Mapa Ruray Plataforma
by Hive AI
- A' Design Award Qullqi Premiu 2025 in Tinkinakuy
- CLIENT: Hive AI
- Estimated Number of Design Views: 57,436
- Verification code EB71E69C7A · Verify this award
Colors
About Hive AI Yachay Mapa Ruray Plataforma
Hive AI nisqaqa yachay mapa ruray plataformam, yachaqkunapaq, llamk'aq runakunapaq, yachaywan maskaqkunapaqpas. Kay plataformaqa suqta k'uchuyuq (hexágono) yachay nudokunata llamk'achin, ch'iqirisqa willakuykunata t'inkisqa yachayman churanapaq. Ruwaqkunaqa qillqakunata, videokunata, siq'ikunatapas churanku, hinaspa artificial yuyayqa (inteligencia artificial) t'inkinakunata riqsichin, kaqlla willakuykunata huñun, mana huntasqa yachaykunatapas tarin. Mana siq'i puriyqa qispilla maskayta yanapan, mana kuyuchiy atina tapuy kutichiy ñankunamanta aswan. Rikuna plantillakuna, ñawpa pacha timelinekunahina, kimsa dimensionniyuq suqta k'uchuyuq mapakunahina, yachayta sut'ita rikuchinku. Kutichiq interfazqa k'anchaq yana temakunatapas yanapan.
About the A' Design Award Qullqi Premiu
Hive AI Yachay Mapa Ruray Plataforma A' Design Award Qullqi Premiu mishak kan, ancha jatun yupaychay, kayta hanak, sumak shinallatak mancharina diseñukunaman kun. Qullqi mishak kashkakunaka ancha achikyaska shinallatak ancha mushuk ruraykunami, paykunata rurakkunapak yachayta, yuyayta shinallatak ushayta rikuchinku. Hive AI Yachay Mapa Ruray Plataforma ruray yachak, ñawpak shinallatak mushuk yuyayta charik sumak rurashka kanata munanku. Kay Qullqi Premiu japishka diseñuka ancha riksishka shinallatak yupaychashka yuyay kan, arti, siensia, diseñu shinallatak tekinolojía ñawpak ñankunata kichuk. Hive AI Yachay Mapa Ruray Plataforma achka runakunapak munashka rurashka kan, munayta kallarichin, alli yuyaykunata kun shinallatak mancharichin.
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
