Prompting for Discovery: Flexible Sense-Making for AI Art-Making with Dreamsheets
October 15, 2023 Β· Declared Dead Β· π International Conference on Human Factors in Computing Systems
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Authors
Shm Garanganao Almeda, J. D. Zamfirescu-Pereira, Kyu Won Kim, Pradeep Mani Rathnam, Bjoern Hartmann
arXiv ID
2310.09985
Category
cs.HC: Human-Computer Interaction
Citations
55
Venue
International Conference on Human Factors in Computing Systems
Last Checked
3 months ago
Abstract
Design space exploration (DSE) for Text-to-Image (TTI) models entails navigating a vast, opaque space of possible image outputs, through a commensurately vast input space of hyperparameters and prompt text. Minor adjustments to prompt input can surface unexpectedly disparate images. How can interfaces support end-users in reliably steering prompt-space explorations towards interesting results? Our design probe, DreamSheets, supports exploration strategies with LLM-based functions for assisted prompt construction and simultaneous display of generated results, hosted in a spreadsheet interface. The flexible layout and novel generative functions enable experimentation with user-defined workflows. Two studies, a preliminary lab study and a longitudinal study with five expert artists, revealed a set of strategies participants use to tackle the challenges of TTI design space exploration, and the interface features required to support them - like using text-generation to define local "axes" of exploration. We distill these insights into a UI mockup to guide future interfaces.
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