AI-Assisted Causal Pathway Diagram for Human-Centered Design
Fuente:
arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866909135105163264 |
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| author | Zhong, Ruican Shin, Donghoon Meza, Rosemary Klasnja, Predrag Colusso, Lucas Hsieh, Gary |
| author_facet | Zhong, Ruican Shin, Donghoon Meza, Rosemary Klasnja, Predrag Colusso, Lucas Hsieh, Gary |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_08111 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | AI-Assisted Causal Pathway Diagram for Human-Centered Design Zhong, Ruican Shin, Donghoon Meza, Rosemary Klasnja, Predrag Colusso, Lucas Hsieh, Gary Human-Computer Interaction Artificial Intelligence Computation and Language H.5.2; I.2.7 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. |
| title | AI-Assisted Causal Pathway Diagram for Human-Centered Design |
| topic | Human-Computer Interaction Artificial Intelligence Computation and Language H.5.2; I.2.7 |
| url | https://arxiv.org/abs/2403.08111 |