What is in the Cards: Exploring Uses, Patterns, and Trends in Design Cards

Hsieh, Gary; Halperin, Brett A.; Schmitz, Evan; Chew, Yen Nee; Tseng, Yuan-Chi

doi:10.1145/3544548.3580712

Cited by 9 publications

(3 citation statements)

References 27 publications

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“…One set of CSTs simply stimulates designers to think creatively. These tools are not specific to the design context and often just contain inspirational images or words [30,47], or provocative concepts [92]. Others support brainstorming by suggesting additional relevant ideas based on a set of existing ideas inputted by the user [4,5,14,19,33,34,67,94,95].…”

Section: Potential Use Of Cpd During Ideationmentioning

confidence: 99%

AI-Assisted Causal Pathway Diagram for Human-Centered Design

Zhong,

Shin,

Meza

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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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. CCS CONCEPTS• Human-centered computing → Systems and tools for interaction design; HCI design and evaluation methods.

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Section: Potential Use Of Cpd During Ideationmentioning

confidence: 99%

AI-Assisted Causal Pathway Diagram for Human-Centered Design

Zhong,

Shin,

Meza

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

Self Cite

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“…In addition to understanding such varying purposes of using our interface, another potential consideration that will need to be studied is how to make our card-based translational resource available to designers and improve their awareness. While our system has the potential to improve designers' use of the abundance of rich insights in academic papers, recent research suggests that designers often lack awareness of the wealth of design cards that exist and their potential benefits, despite a set of existing design cards that can be readily used [34,56]. This awareness problem could worsen if our system helps generate a large influx of cards.…”

Section: Which Part Of the Paper Did The Design Guideline Come From?mentioning

confidence: 99%

“…One approach is to distill the insights into design cards. Design cards are tools that facilitate the design process, and can contain several types of design knowledge-from human insights to material & domain knowledge [34]. There is a long tradition of creating design cards to communicate research insights [4,19].…”

Section: Introductionmentioning

confidence: 99%

From Paper to Card: Transforming Design Implications with Generative AI

Shin,

Wang,

Hsieh

2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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Communicating design implications is common within the HCI community when publishing academic papers, yet these papers are rarely read and used by designers. One solution is to use design cards as a form of translational resource that communicates valuable insights from papers in a more digestible and accessible format to assist in design processes. However, creating design cards can be time-consuming, and authors may lack the resources/know-how to produce cards. Through an iterative design process, we built a system that helps create design cards from academic papers using an LLM and text-to-image model. Our evaluation with designers (𝑁 = 21) and authors of selected papers (𝑁 = 12) revealed that designers perceived the design implications from our design cards as more inspiring and generative, compared to reading original paper texts, and the authors viewed our system as an effective way of communicating their design implications. We also propose future enhancements for AI-generated design cards. CCS CONCEPTS• Human-centered computing → Systems and tools for interaction design; HCI design and evaluation methods.

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