Design Methods with AI

The project introduces a new method for designers in the early design phase, focusing on research and concept definition. Its key value lies in emphasizing the principles of value-sensitive design to ensure that a product reflects essential values.

Addressing three key challenges—linguistic misunderstandings in storytelling, the absence of a structured value-sensitive design framework, and the AI integration in design —the method integrates two tools: AI-generated visuals and linguistic analysis using LIWC.

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1.1 Storytelling and visuals reduce design ambiguity, improving clarity.

1.2 Value-Sensitive Design (VSD) integrates human values but needs structure for consistency.

1.3 AI images simplify design, saving time and enhancing expression.

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The framework combines LIWC linguistic analysis (x) with Value-Sensitive and Value-Driven Design (y) to systematically analyze text, identifying and categorizing dominant values like functional, emotional, life-changing, and social impact. It refines these values through VDD’s core value proposition model to explore their relationships.

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The images generated for the method test analysis incorporated the core values as part of the prompt. Participants were then asked to describe the images and the values they represented.

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The analysis applied the framework to categorize and cluster text data, revealing patterns and key themes in participant responses.

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Conclusion: Personal experiences and cognitive processes shape image perception and value attribution. The method identifies key themes but needs better data organization and prompt alignment, serving as a cyclical tool for designer reflection.

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