<aside> 👋🏻 안녕하세요, 디자인 & 인텔리전스 연구실 (디아이랩) 디렉터 🧑🏻💻 김동환입니다. Hello and Welcome to the Design & Intelligence Research Lab!
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<aside> 🎙️ 디아이랩은 인간-컴퓨터 상호작용(Human-Computer Interaction) 분야에서 첨단 기술, 디자인, 사회과학이 만나는 지점에서 다양한 연구를 수행하고 있습니다. 디아이랩의 연구원들은 인간 중심의 기술 및 디자인 연구를 통해, 다양한 학문 간 협력을 기반으로 창의적이고 혁신적인 연구를 진행하고 있습니다. 이를 위해, 디아이랩은 오늘도 새로운 아이디어와 개념을 탐구하며 지속적으로 연구의 경계를 확장하고 있습니다. 인간을 중심에 둔 융합 HCI 연구에 관심이 있으시다면, 함께해 주세요!
The Design & Intelligence Lab (DI-Lab) operates at the forefront of Human-Computer Interaction, deeply investigating the fundamental challenges that emerge at the confluence of modern cutting-edge technology, design, and social science paradigms. Our researchers engage in human-centered technology and design studies, fostering creative and innovative research through interdisciplinary collaboration. Stay tuned! 🙂
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<aside> <img src="https://prod-files-secure.s3.us-west-2.amazonaws.com/99d38a7b-61b3-416d-a03a-f5e6974168e6/fdae7831-d358-42ec-96fe-e13f395a8f70/Icon.png" alt="https://prod-files-secure.s3.us-west-2.amazonaws.com/99d38a7b-61b3-416d-a03a-f5e6974168e6/fdae7831-d358-42ec-96fe-e13f395a8f70/Icon.png" width="40px" /> UREKA! Design and Evaluation of an AI-Powered Research Assistant for UX Designers (Jaemin Chung & Dongwhan Kim, International Journal of Human-Computer Interaction)
Introducing 'UREKA’, an AI-powered research assistant for UX designers. UREKA supports the entire UX research workflow—from ideation and data analysis to insight generation—on a single, cohesive platform, improving upon the fragmented experience of conventional tools. The prototype earned an excellent System Usability Scale (SUS) score of 80.5 , demonstrating an effective human-AI partnership where AI serves as a 'cognitive accelerator' while the designer retains critical oversight.
#Human-AI_Collaboration #AI-powered_Research #Multi-agent_Systems #Generative AI
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<aside> <img src="https://prod-files-secure.s3.us-west-2.amazonaws.com/99d38a7b-61b3-416d-a03a-f5e6974168e6/fdae7831-d358-42ec-96fe-e13f395a8f70/Icon.png" alt="https://prod-files-secure.s3.us-west-2.amazonaws.com/99d38a7b-61b3-416d-a03a-f5e6974168e6/fdae7831-d358-42ec-96fe-e13f395a8f70/Icon.png" width="40px" /> JourneyBot: Designing a Chatbot-driven Interactive Visualization Tool for Design Research (Soojin Hwang & Dongwhan Kim, International Journal of Design)
JourneyBot is a groundbreaking chatbot tool designed for user research in healthcare, particularly effective during social distancing. It collects and visually maps patient experiences from clinic visits, offering dynamic, interactive insights. This innovative approach breaks geographical barriers, enriches user feedback, and aids UX designers in understanding patient emotions and challenges, showcasing significant potential for enhancing user experience research methods.
#UX #Design_Methodology #AI4UX #Chatbot
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<aside> 🤖 Between Brushes and Bytes: Reframing Human-AI Co-Creation Artwork Recognition with Effective Labeling (Yunyoung Cho & Dongwhan Kim, Submitted for Publication)
This study investigates how the public and experts perceive Human-AI Co-Creation (HACC) in art. Despite a general preference for human-made art, it finds that detailed labels on HACC artworks, especially those explaining the prompt and history, significantly increase their appeal and perceived value. Through surveys and expert interviews, the research establishes standards for evaluating HACC artworks and demonstrates how a comprehensive labeling system can elevate their appreciation and legitimacy in the creative industry.
#HACC #Human-AI_Co-Creation #AI_Art #Digital_Creativity
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