Design Seminars, 2024 Fall (Dec)

Minsam Ko | Associate Professor at the Department of HCI, Hanyang ERICA

  • Title: Uncovering Implicit User Contexts to Improve Human-AI Interaction
    • Artificial intelligence systems play a vital role in various tasks through collaboration with users. However, if the AI fails to fully grasp users’ implicit intentions or contexts, the feedback or recommendations it provides may not align with users’ expectations. Therefore, to enhance the effectiveness of human-AI collaboration, approaches are needed to better interpret users’ implicit intentions. This presentation explores two main strategies for effectively eliciting user intentions in human-AI collaboration and illustrates these strategies through concrete examples. First, we discuss the approach of AI proactively posing questions. Traditionally, humans would ask questions to AI, which would then respond. However, this presentation proposes that AI can initiate questions to guide users in articulating their goals or needs more precisely. For instance, in Stubot, the AI encourages user engagement by asking for additional explanations, thus enhancing learning, while Bloom’s Taxonomy-based follow-up questions improve users’ learning outcomes. Second, in situations where users may find it challenging to provide clear answers, we introduce an approach in which AI aids users by preemptively presenting anticipated results. This allows users to evaluate and refine their ideas. For instance, in Colorbo, AI predicts the final appearance of a user’s work based on their coloring progress, helping users clarify their intentions. Additionally, through the iterative process of prompt refinement and audio generation, AI utilizes user feedback to optimize outcomes, generating sounds that satisfy users’ preferences. These approaches enable AI to better understand and communicate with users, ultimately enhancing the quality of collaboration. This presentation will discuss how these strategies can play a role in maximizing the potential of human-AI collaboration.
  • Date & Time: Mon Dec 2, 13:00 KST
  • Place: Bldg. 104-1011
  • Language: English

Jinho Ahn | CEO at IDInnoLab Inc.

  • Title: 감성.경험 데이터 기반의 AI 디자인전략 서비스 개발 사례
    • AI 시대 감성과 경험데이터의 가치에 대한 소개와 생성형AI 기반의 비즈니스 적용 사례, 디자인전략 서비스인 ‘i know you_AI’의 개발 및 활용사례 소개
  • Date & Time: Mon Dec 9, 13:00 KST
  • Place: Bldg. 104-1011
  • Language: Korean