Elaborating a framework that is able to structure and evaluate design workflow and composition of Generative AI Visualizations.

One aspect of using generative artificial intelligence (AI) in design workflows that is not well understood, is how designers navigate the use of prompts and imagery to control design outputs. To learn more about the ways generative AI can elaborate different innovative design aspects linked to a conceptual genre, we undertake an analysis of designer outputs and link these to a mapping of iterative design workflow, and the composition of prompts and imagery used to inform generative AI visualizations. A speculative design workshop presented young designers with a proposed framework to facilitate and guide them through an iterative design process using generative AI tools (Vizcom and Midjourney). Design outputs included designed objects, atmosphere, spatial configurations able to generate social communication and relations for futuristic residential lighting environment. Prompt writing and sketching were two crucial variables that enable high fidelity design visualization. Traditionally research on prompt writing focuses on variables of descriptive design imagery, point of view, quality of output, ordering, precision, tone and style. (Microsoft,2023) In this study we investigate how designers initiate and continually engage with a generative AI system to achieve consistency of outputs and elaborate design variations. The literature review identifies variables to assess the impact of creative input to structure the generative AI visualizations. Our analysis focus on the cognitive workflows and its ability to integrate a mix of analogical and digital methods( sketching, prompts writing, and digital imagery). The analysis constructs focus on the way the design methods translate different spatial qualities, phenomenal experiences that have potential to facilitate social communication and relations, (proximity, sightline-acoustic comfort). Our insights constructs a design framework to guide prompt composition that inform iterative generative AI outputs. The schematic framework may be used to guide AI generated visualizations according to the qualities of atmosphere linked to the spatial forms and arrangements of interior spaces. Written prompts and imagery are examined in their ability to articulate design principle, spatial qualities, spatial characteristics, spatial forms and social relations.