Hive AI Pátákò Ìṣàkóso Ìmọ̀ láti ọwọ́ Hive AI

Hive AI Pátákò Ìṣàkóso Ìmọ̀ láti ọwọ́ Hive AI jẹ́ aṣẹ́gun olókìkí púpọ̀ ti 2025 Àmì-ẹ̀yẹ Fàdákà A' Design Award nínú Ẹ̀ka Ìdíje Àpẹẹrẹ Ojú-ìbáṣepọ̀, Ìbáṣepọ̀ àti Ìrírí Olùlò.

FàdákàOjú-ìbáṣepọ̀· 2025

Hive AI Pátákò Ìṣàkóso Ìmọ̀

látọ̀wọ́ Hive AI

Oníbàárà: Hive AI

Aṣẹ́gun Àmì-ẹ̀yẹ Fàdákà A' Design Award nínú Ẹ̀ka Ojú-ìbáṣepọ̀

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Aṣẹ́gun Àmì Ẹ̀yẹ Tí a Jẹ́rìísí

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Wo ní A' Design Award Ìwé Ìròyìn Àmì Ẹ̀yẹ

Àwọ̀

Àpẹrẹ Náà

Nípa Hive AI Pátákò Ìṣàkóso Ìmọ̀

Hive AI jẹ́ pátákò ìṣàkóso ìmọ̀ fún àwọn akẹ́kọ̀ọ́, àwọn amòye iṣẹ́, àti àwọn olùṣèwádìí. Pátákò náà ń lo àwọn ojú-ìsopọ̀ ìmọ̀ oníhà-mẹ́fà láti ṣètò ìsọfúnni tí ó túká sí ìmọ̀ tí ó ní ìsopọ̀. Àwọn olùmúlò máa ń gbé ọ̀rọ̀, fídíò, àti àwòrán sókè, ọgbọ́n atọwọ́dá sì máa ń dábàá àwọn ìsopọ̀, ó ń ṣàkójọ àwọn àkóónú tí ó jọra pọ̀, ó sì ń ṣàwárí àwọn àlàfo. Ìrìnkèrindò aláìtẹ̀lé-ọ̀nà kan ṣoṣo ń ṣàtìlẹ́yìn fún ìwádìí lọ́fẹ̀ẹ́ dípò àwọn ọ̀nà ìbéèrè àti ìdáhùn tí a ti gbé kalẹ̀ ṣinṣin. Àwọn àwòṣe ojúran, bíi àwọn ìlà-àkókò ìtàn àti àwọn àwòrán-ilẹ̀ oníhà-mẹ́fà onípele-mẹ́ta, ń fi ìmọ̀ hàn kedere. Ojú-ìṣiṣẹ́ tí ó ń bára mu ń ṣàtìlẹ́yìn fún àwọn àwòrán-ìhùwà ìmọ́lẹ̀ àti òkùnkùn.

Ìdánimọ̀ Náà

Nípa Àmì-ẹ̀yẹ Fàdákà A' Design Award

Hive AI Pátákò Ìṣàkóso Ìmọ̀ jẹ́ olùborí Àmì-ẹ̀yẹ Fàdákà A' Design Award, ìdánimọ̀ onípọ̀nlé lọ́nà àrà ọ̀tọ̀ tí a fún àwọn àwòṣe ìpele gíga jùlọ tó dára tó sì ń kan ọkàn. Àwọn olùborí Fàdákà jẹ́ àwọn iṣẹ́ tó ń tàn yòò gidigidi tó sì ní ìṣẹ̀dá púpọ̀ tí wọ́n ń ṣàfihàn ìmọ̀ ìjìnlẹ̀, ẹ̀bùn àti ìmọ̀ràn àwọn olùṣàwòṣe wọn. A retí pé Hive AI Pátákò Ìṣàkóso Ìmọ̀ yóò jẹ́ iṣẹ́ àgbàyanu, àpẹẹrẹ rere, ti ọ̀jáfáfá lọ́nà tó ṣe pàtàkì tó sì ní ìmúṣẹ̀dá tuntun jinlẹ̀. Àwòṣe tó borí Àmì-ẹ̀yẹ Fàdákà A' Design Award yìí jẹ́ ohun ìmúṣẹ̀dá tó hàn gbangba gidigidi tí a mọrírì tó ń ṣe anfàní tó sì ń tì ààlà iṣẹ́ ọnà, sáyẹ́ǹsì, àwòṣe àti ìmọ̀-ẹ̀rọ síwájú. Hive AI Pátákò Ìṣàkóso Ìmọ̀ jẹ́ ẹ̀dá tí ọ̀pọ̀lọpọ̀ ń ṣe ìlara, tó ń jí ìfẹ́ inú, tó ń mú ìmọ̀lára rere wá tó sì ń jí ìyàlẹ́nu àti ìyanu.

Lẹ́yìn Àpẹrẹ Náà

Àkójọ Ìròyìn

Àwọn ẹ̀tọ́, àwọn ọmọ ẹgbẹ́ àti àlàyé ìmọ̀ ẹ̀rọ tí olùṣàpẹrẹ pèsè.

Àwọn Ohun Àkànṣe: 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.
Ìwọ̀n àti Àpò: 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.
Àwọn Àkọlé: Geneartive AI, Adaptive Learning, Personalization, Ed-Tech, Non-linear Interaction, Data Visualization
Ìmọ̀-ẹ̀rọ Ìṣelọ́pọ̀: 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.
Ìpèníjà Àpèsè: 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.
Ìwádìí: 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.
Ìmísí: 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.
Àkókò Iṣẹ́ Àkànṣe: Research - 1 Month

Concept and Prototyping - 2 Months
Design Finalization - 1.5 Months

Evolutives & APP Development: ongoing
Ìlànà Ìṣiṣẹ́: 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.
Àwọn Ìwé-ẹ̀rí Ohun-Ìmọ̀: Yongwen Dai, Xuefei Wang, Keqing (Clara) Jiao, Hanyong Yang, Huiyang Chen
Àwọn Ọmọ Ẹgbẹ́: Yongwen Dai
Xuefei Wang
Keqing (Clara) Jiao
Hanyong Yang
Huiyang Chen
Ìfọwọ́sí Àwòrán: Yongwen Dai, Xuefei Wang, Keqing (Clara) Jiao, Hanyong Yang, Huiyang Chen