Creative Sketching Apprentice: Supporting Conceptual Shifts in Sketch Ideation

Karimi, Pegah; Grace, Kazjon; Davis, Nicholas; Maher, Mary Lou

doi:10.1007/978-3-030-05363-5_39

Cited by 9 publications

(7 citation statements)

References 25 publications

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“…Nowadays, more and more efforts are made to build CACD systems that can flexibly and actively support designers, like the system by (Karimi et al, 2019). Such work is naturally expected to draw on research in design cognition (Ashok et al 2012), towards understanding and modeling human design capabilities.…”

Section: Discussionmentioning

confidence: 99%

“…CACD systems, which target the early design stages, aim to support this practice. Specifically, systems focusing on interpretation can help designers in changing their perspective of the design, when designing (see for example, "The Creative Sketching Apprentice" by Karimi et al, 2019). However, current systems are limited in their ability to suggest interpretations based on the design situation.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Capturing Interpretation Sources in Architectural Design by Observing Sequences of Design Acts

Cao¹,

Kahlon²,

Fujii³

2021

CAADRIA Proceedings

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Capturing Interpretation Sources in Architectural Design by Observing Sequences of Design Acts

Cao¹,

Kahlon²,

Fujii³

2021

CAADRIA Proceedings

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“…HCI scholars have studied computational models of visual storytelling, ranging from interactive storytelling to automatic story generation. While we focus on the latter, we note that researchers have assembled intricate interactive systems where people can cocreate stories with virtual characters (e.g., in visually immersive simulation games) [42,43,85], as well as with virtual agents to facilitate collaborative storytelling in contexts including education, advocacy, and play) [27,35,36,49]. For example, Zhang et al have explored how AI can support children in creative visual storytelling by facilitating co-creative processes such as drawing, ideating, and story writing [85,86].…”

Section: Computational Image-to-text Models and Visual Storytellingmentioning

confidence: 99%

Envisioning Narrative Intelligence: A Creative Visual Storytelling Anthology

Halperin

Lukin

2023

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

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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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“…Using BCI, some other studies enable users to generate and manipulate geometries by thinking [84,102,103]. Regarding the third category, a prevalent approach involves developing intelligent creative agents with human-like cognition derived from rules or data, anticipating creative outcomes to emerge from agreements or conflicts between the two parties [44,60].…”

Section: Co-create and Co-evaluate With An Agentmentioning

confidence: 99%