Envisioning Narrative Intelligence: A Creative Visual Storytelling Anthology
| Autor: | Halperin, Brett A., Lukin, Stephanie M. |
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| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems |
| Druh dokumentu: | Working Paper |
| DOI: | 10.1145/3544548.3580744 |
| Popis: | In this paper, we collect an anthology of 100 visual stories from authors who participated in our systematic creative process of improvised story-building based on image sequences. Following close reading and thematic analysis of our anthology, we present five themes that characterize the variations found in this creative visual storytelling process: (1) Narrating What is in Vision vs. Envisioning; (2) Dynamically Characterizing Entities/Objects; (3) Sensing Experiential Information About the Scenery; (4) Modulating the Mood; (5) Encoding Narrative Biases. In understanding the varied ways that people derive stories from images, we offer considerations for collecting story-driven training data to inform automatic story generation. In correspondence with each theme, we envision narrative intelligence criteria for computational visual storytelling as: creative, reliable, expressive, grounded, and responsible. From these criteria, we discuss how to foreground creative expression, account for biases, and operate in the bounds of visual storyworlds. Comment: 21 pages, 11 figures |
| Databáze: | arXiv |
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