Hive AI Platform Pappéta Pangissengeng naébbu Hive AI

Hive AI Platform Pappéta Pangissengeng naébbu Hive AI iyanaritu pammènangngé iya temmaka riéloinna ri 2025 A' Design Award Salaka ri Katégori Kompétisi Desain Antarmuka, Interaksi, sibawa Pengalaman Pengguna.

SalakaAntarmuka· 2025

Hive AI Platform Pappéta Pangissengeng

ᨑᨗ Hive AI

ᨀᨒᨗᨕᨙ: Hive AI

Pammènangngé A' Design Award Salaka ri Katégori Antarmuka

59,042

Pammènangngé Anugérah Naparessoi

Paressoi Status Anugérah untu #169652

ᨈᨗᨈ ᨑᨗ A' Design Award ᨔᨗᨕᨑ ᨄᨙᨑᨙ ᨅᨙᨍᨗ ᨄᨂᨑᨁ

ᨓᨑᨊ

ᨉᨙᨔᨕᨗᨊᨙ

ᨄᨙᨑᨗᨖᨒ Hive AI Platform Pappéta Pangissengeng

Hive AI iyanaritu séddi platform pappéta pangissengeng untu' pappagguru, professional, sibawa panneliti. Iyaé platform-é makkéguna node pangissengeng heksagon untu' massusung informasi tassiya-siya mancaji pangissengeng tassambung. Pakkéguna-é maccéra' teks, video, sibawa gambara', na kacérdasang buatang (artificial intelligence) mabbéré saran passambungeng, pasipulung isi iya siyattulukengngé, sibawa mita loang iya masalangngé. Navigasi non-linear massokong pangoloreng bébas dé' napolé ri laleng patanroang sibawa pappébali iya matette'é. Templat visual, pada-pada garis wettu sejarah sibawa péta heksagonal tellu dimensi, mappaitangngi pangissengengngé sibawa manessa. Interface responsif massokong tema macakka sibawa mapettang.

ᨄᨂᨑᨁᨙ

ᨄᨙᨑᨗᨖᨒ A' Design Award Salaka

Hive AI Platform Pappéta Pangissengeng iyanaritu pakoro A' Design Award Salaka, pakalebbi iya malompo tongeng iya ripabbere ri desain tingkak pole, cantik sibawa mappakita. Pakoro Salaka iyanaritu karya iya macennning tongeng sibawa kreatif iya mappakita keahlian, bakat sibawa ketajaman pikkiran tau mabbuat. Hive AI Platform Pappéta Pangissengeng ripakkirangngi mancaji karya iya magello, mancaji pakkitaang, profesional sibawa inovatif iya dalleng. Desain pakoro A' Design Award Salaka iyae iyanaritu penemuan iya lebbi riissengngi sibawa ripuji, iya pawangekeng sibawa mappalaong wates seni, sains, desain sibawa teknologi. Hive AI Platform Pappéta Pangissengeng iyanaritu ciptaan iya riennengi tau maega, iya mappabbura keinginan, mappabbere perasaan makessing sibawa mappabbentuk ketakjuban.

ᨑᨗ ᨆᨘᨋᨗᨊᨙ ᨉᨙᨔᨕᨗ

ᨀᨗ ᨄᨙᨑᨙ

ᨀᨑᨙᨉᨗ, ᨕᨂᨚᨈ ᨈᨗᨆ ᨔᨗᨅᨓ ᨑᨗᨏᨗ ᨈᨙᨀᨊᨗ ᨊᨄᨓᨙᨑᨙ ᨑᨗ ᨉᨙᨔᨕᨗᨊᨑᨙ.

Sipa Khas: 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.
Ukurang & Kemasang: 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.
Tantangeng Désain: 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.
Panélitiang: 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.
Wettu Proyék: Research - 1 Month

Concept and Prototyping - 2 Months
Design Finalization - 1.5 Months

Evolutives & APP Development: ongoing
Alur Opérasi: 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.
Paténg: 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