Decoding the agility of artificial intelligence-assisted human design teams

Song, Binyang; Zurita, Nicolás F. Soria; Gyory, Joshua T.; Zhang, Guanglu; McComb, Christopher; Cagan, Jonathan; Stump, Gary; Martin, Jan M. L.; Miller, Sonya K.; Balon, Corey; Yukish, Michael A.

doi:10.1016/j.destud.2022.101094

Cited by 28 publications

(10 citation statements)

References 48 publications

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“…AIGC provides a powerful and extensive design material library that gives designers instantaneous access to inspiring images based on their requirements [34,35]. This also implies that designers should dedicate time to collaborate effectively with AIGC, giving the AIGC tool accurate and specific instructions.…”

Section: Discussionmentioning

confidence: 99%

The Exploration of Integrating the Midjourney Artificial Intelligence Generated Content Tool into Design Systems to Direct Designers towards Future-Oriented Innovation

Yin,

Zhang,

Liu

2023

Systems

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In an age where computing capabilities are expanding at a breathtaking pace, the advent of Artificial Intelligence-Generated Content (AIGC) technology presents unprecedented opportunities and challenges to the future of design. It is crucial for designers to investigate how to utilize this powerful tool to facilitate innovation effectively. As AIGC technology evolves, it will inevitably shift the expectations of designers, compelling them to delve deeper into the essence of design creativity, transcending traditional sketching or modeling skills. This study provides valuable insights for designers on leveraging AIGC for forward-thinking design innovation. We focus on the representative AIGC tool, “Midjourney”, to explore its integration into design systems for collaborative innovation among content creators. We introduce an AIGC-based Midjourney path for product design and present a supporting tool card set: AMP-Cards. To confirm their utility, we undertook extensive validation through advanced prototype design research, task-specific project practices, and interdisciplinary collaborative seminars. Our findings indicate that AIGC can considerably enhance designers’ efficiency during product development, especially in the “explorative product shape” phase. The technology excels in identifying design styles and quickly producing varied design solutions. Moreover, AIGC’s capacity to swiftly translate creators’ concepts into visual forms greatly aids in multidisciplinary team communication and innovation.

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Section: Discussionmentioning

confidence: 99%

The Exploration of Integrating the Midjourney Artificial Intelligence Generated Content Tool into Design Systems to Direct Designers towards Future-Oriented Innovation

Yin,

Zhang,

Liu

2023

Systems

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“…As CAI assumes an increasingly prominent role in designing future technologies, we must ponder the future roles of human designers. The interplay between CAI and human intelligence in future design processes presents an urgent research inquiry (Song et al 2022; Song, Zhu & Luo 2024). The co-design process involving humans and CAI must be thoughtfully crafted to safeguard fundamental human values, in both the innovation outcomes and the process itself (Luo 2023 b ).…”

Section: The Promise Of Creative Aimentioning

confidence: 99%

The innovation paradox: concept space expansion with diminishing originality and the promise of creative artificial intelligence

Sarica,

Luo

2024

Des. Sci.

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Innovation, typically spurred by reusing, recombining and synthesizing existing concepts, is expected to result in an exponential growth of the concept space over time. However, our statistical analysis of TechNet, which is a comprehensive technology semantic network encompassing over 4 million concepts derived from patent texts, reveals a linear rather than exponential expansion of the overall technological concept space. Moreover, there is a notable decline in the originality of newly created concepts. These trends can be attributed to the constraints of human cognitive abilities to innovate beyond an ever-growing space of prior art, among other factors. Integrating creative artificial intelligence into the innovation process holds the potential to overcome these limitations and alter the observed trends in the future.

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“…Prior studies in engineering design and innovation have reported mixed successes of AI in improving team performance. On one hand, AI has proven helpful in some instances, expediting designer learning (Viros-i-Martin and Selva, 2022), enhancing design performance at individual and team levels Song and Gyory et al, 2022), boosting analytic and decision-making abilities (Chong et al, 2023), elevating creativity (Song et al, 2021), improving team coordination (Gyory et al, 2021), and strengthening team agility (Song and Gyory et al, 2022). On the other hand, some studies show that AI may not always be beneficial, indicating it is not a universal solution for design problems (Chong et al, 2022), can hinder highperforming teams (Zhang et al, 2021), or negatively affect the learning process of designers (Viros-i-Martin and Selva, 2019).…”

Section: Human-ai Collaborationmentioning

confidence: 99%

Human-AI collaboration by design

Song,

Zhu,

Luo

2024

Proc. Des. Soc.

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Human-AI collaboration (HAIC) is a promising strategy to transform engineering design and innovation, yet how to design artificial intelligence (AI) to boost HAIC remains unclear. Accordingly, this paper provides a new, unified, and comprehensive scheme for classifying AI roles. On this basis, we develop an AI design framework that outlines expected AI capabilities, interactive attributes, and trust enablers across various HAIC scenarios, offering guidance for integrating AI into human teams effectively. We also discuss current advancements, challenges, and prospects for future research.

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Decoding the agility of artificial intelligence-assisted human design teams

Cited by 28 publications

References 48 publications

The Exploration of Integrating the Midjourney Artificial Intelligence Generated Content Tool into Design Systems to Direct Designers towards Future-Oriented Innovation

The Exploration of Integrating the Midjourney Artificial Intelligence Generated Content Tool into Design Systems to Direct Designers towards Future-Oriented Innovation

The innovation paradox: concept space expansion with diminishing originality and the promise of creative artificial intelligence

Human-AI collaboration by design

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