SuperSkillsStack: Agency, Domain Knowledge, Imagination, and Taste in Human-AI Design Education
Qian Huang, King Wang Poon

TL;DR
This paper explores how design students use generative AI alongside human skills like judgment and taste, emphasizing the importance of cultivating these competencies for effective collaboration in design education.
Contribution
It introduces the SuperSkillsStack framework, identifying four key human competencies essential for human-AI collaboration in design education.
Findings
AI is mainly used in early design stages like brainstorming and problem framing.
Students rely on human judgment to interpret, validate, and refine AI outputs.
Domain knowledge and taste are crucial for evaluating AI-generated ideas.
Abstract
This study examines how students integrate generative artificial intelligence (AI) into design projects through the lens of the SuperSkillsStack framework, which identifies four key human competencies for effective human-AI collaboration: Agency, Domain Knowledge, Imagination, and Taste. As generative AI increasingly transforms creative practice, design education must consider how human capabilities are cultivated alongside technological tools. Using qualitative thematic analysis, this study analyzes reflective writings from 80 student design teams participating in a human-centered design course. The findings show that students primarily used AI during the early stages of the design process, including brainstorming, information synthesis, and problem framing. However, students consistently relied on human judgment to interpret contextual information, validate AI-generated outputs, and…
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Taxonomy
TopicsDesign Education and Practice · Architecture and Computational Design · Innovative Human-Technology Interaction
