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Towards Sustainable Creativity Support: An Exploratory Study on Prompt Based Image Generation

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arxiv 2504.07879 v2 pith:PCDLGXN7 submitted 2025-04-10 cs.HC

classification cs.HC
keywords creativityimageenergysupportgenerationpromptbeenconsumption
verification ladder T0 review T1 audit T2 compute T3 formal
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Creativity is a valuable human skill that has long been augmented through both analog and digital tools. Recent progress in generative AI, such as image generation, provides a disruptive technological solution to supporting human creativity further and helping humans generate solutions faster. While AI image generators can help to rapidly visualize ideas based on user prompts, the use of such AI systems has also been critiqued due to their considerable energy usage. In this paper, we report on a user study (N = 24) to understand whether energy consumption can be reduced without impeding on the tool's perceived creativity support. Our results highlight that, for example, a main effect of (image generation) condition on energy consumption, and index of creativity support per prompt but not per task, which seem mainly attributed to image quantity per prompt. We provide details of our analysis on the relation between energy usage, creativity support, and prompting behavior, including attitudes towards designing with AI and its environmental impact.

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  1. "If we misunderstand the client, we misspend 100 hours": Exploring conversational AI and response types for information elicitation

    cs.HC 2025-06 conditional novelty 5.0 of 10

    In a 2x2 experiment with 50 mock clients, conversational AI and choice-based responses improved response clarity but lowered perceived dependability of an elicitation tool.

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