AI-Assisted Causal Pathway Diagram for Human-Centered Design

要旨

This paper explores the integration of causal pathway diagrams (CPD) into human-centered design (HCD), investigating how these diagrams can enhance the early stages of the design process. A dedicated CPD plugin for the online collaborative whiteboard platform Miro was developed to streamline diagram creation and offer real-time AI-driven guidance. Through a user study with designers ($N=20$), we found that CPD's branching and its emphasis on causal connections supported both divergent and convergent processes during design. CPD can also facilitate communication among stakeholders. Additionally, we found our plugin significantly reduces designers' cognitive workload and increases their creativity during brainstorming, highlighting the implications of AI-assisted tools in supporting creative work and evidence-based designs.

著者
Ruican Zhong
Human Centered Design and Engineering, University of Washington, Seattle, Washington, United States
Donghoon Shin
University of Washington, Seattle, Washington, United States
Rosemary Meza
Kaiser Permanente Washington Health Research Institute, Seattle, Washington, United States
Predrag Klasnja
University of Michigan, Ann Arbor, Michigan, United States
Lucas Colusso
Microsoft, Seattle, Washington, United States
Gary Hsieh
University of Washington, Seattle, Washington, United States
論文URL

doi.org/10.1145/3613904.3642179

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: AI and Interaction Design

320 'Emalani Theater
5 件の発表
2024-05-13 20:00:00
2024-05-13 21:20:00