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I am not thinking anymore, just following the path.: Investigating Task Delegation Trend of Author-AI Co-Creation with Generative AIs

Yujin Kim, Suhyun Kim, Yeojin Kim, Soyeon Lee, Uran Oh

TL;DR

The paper investigates how digital comic authors delegate drafting tasks to generative AIs, revealing widespread delegation patterns and how delegation levels influence time efficiency and prompting behavior. It introduces a four-tier delegation framework and analyzes usage and calibration across three drafting steps, finding that about $60\%$ of authors adjust their delegation post-co-creation, predominantly reducing delegation due to concerns about agency and originality. The authors propose strategies for calibrating delegation, redefine trust in creative tasks, and suggest novel trust-measurement approaches that consider the gap between expectations and AI outputs. The study highlights the need for adaptive, trust-aware co-creative systems that preserve authorship while leveraging AI for ideation and refinement, contributing to design principles for HACC in creative domains.

Abstract

This paper investigates the task delegation trends of digital comic authors to generative AIs during the creation process. We observed 16 digital comic authors using generative AIs during the drafting stage. We categorized authors delegation levels and examined the extent of delegation, variations in AI usage, and calibration of delegation in co-creation. Our findings show that most authors delegate significant tasks to AI, with higher delegation linked to less time spent on creation and more detailed questions to AI. After co-creation, about 60% of authors adjusted their delegation levels, mostly calibrating to less delegation due to loss of agency and AIs unoriginal outputs. We suggest strategies for calibrating delegation to an appropriate level, redefine trust in human-AI co-creation, and propose novel measurements for trust in these contexts. Our study provides insights into how authors can effectively collaborate with generative AIs, balance delegation, and navigate AIs role in the creative process.

I am not thinking anymore, just following the path.: Investigating Task Delegation Trend of Author-AI Co-Creation with Generative AIs

TL;DR

The paper investigates how digital comic authors delegate drafting tasks to generative AIs, revealing widespread delegation patterns and how delegation levels influence time efficiency and prompting behavior. It introduces a four-tier delegation framework and analyzes usage and calibration across three drafting steps, finding that about of authors adjust their delegation post-co-creation, predominantly reducing delegation due to concerns about agency and originality. The authors propose strategies for calibrating delegation, redefine trust in creative tasks, and suggest novel trust-measurement approaches that consider the gap between expectations and AI outputs. The study highlights the need for adaptive, trust-aware co-creative systems that preserve authorship while leveraging AI for ideation and refinement, contributing to design principles for HACC in creative domains.

Abstract

This paper investigates the task delegation trends of digital comic authors to generative AIs during the creation process. We observed 16 digital comic authors using generative AIs during the drafting stage. We categorized authors delegation levels and examined the extent of delegation, variations in AI usage, and calibration of delegation in co-creation. Our findings show that most authors delegate significant tasks to AI, with higher delegation linked to less time spent on creation and more detailed questions to AI. After co-creation, about 60% of authors adjusted their delegation levels, mostly calibrating to less delegation due to loss of agency and AIs unoriginal outputs. We suggest strategies for calibrating delegation to an appropriate level, redefine trust in human-AI co-creation, and propose novel measurements for trust in these contexts. Our study provides insights into how authors can effectively collaborate with generative AIs, balance delegation, and navigate AIs role in the creative process.

Paper Structure

This paper contains 20 sections, 2 figures, 2 tables.

Table of Contents

  1. Introduction
  2. Related Work
  3. Task delegation to AI and Trust in AI
  4. Human-AI Co-Creation (HACC) for Resolving Author’s Needs and Challenges
  5. Method
  6. Participants
  7. Procedure
  8. Findings
  9. From Definition of Task Delegation Level to Generative AI Usage
  10. Defining Task Delegation Level in Author-AI Co-Creation
  11. Generative AI Usage by Each Delegation Level
  12. Task Delegation Level Calibration and Expected Role of AI in Co-Creation
  13. Task Delegation Level Calibration
  14. Causes of calibration from higher to lower delegation level
  15. After calibration, what role should generative AI play in co-creation?
  16. ...and 5 more sections

Figures (2)

  • Figure 1: An example of the overall procedure of hands-on AI sessions. In (a), an author asks to recommend a webtoon storyline about students in a high school band club. In (b), she asks for recommendations for Harin’s appearance who has black hair and is tall and thin. In (c), she asks to draw Harin who has short messy black hair and a unique look with a detailed appearance.
  • Figure 2: The number of participants for each delegation levels (left) and the calibration trend in task delegation level (right).