  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.
