Envisioning Narrative Intelligence: A Creative Visual Storytelling Anthology

Brett A. Halperin, Stephanie M. Lukin
10/6/2023
cs.CL

No official code found. Best implementation: USArmyResearchLab/ARL-Creative-Visual-Storytelling (5 stars, CC0-1.0, last commit 2023-03-30).

Abstract

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.

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Cite this paper

@article{halperin2023envisioning,
  title  = {Envisioning Narrative Intelligence: A Creative Visual Storytelling Anthology},
  author = {Brett A. Halperin and Stephanie M. Lukin},
  year   = {2023},
  eprint = {2310.04529},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2310.04529v1}
}

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