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Pinning "Reflection" on the Agenda: Investigating Reflection in Human-LLM Co-Creation for Creative Coding

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arxiv 2402.09750 v2 pith:FRDZ5AS5 submitted 2024-02-15 cs.HC cs.AI

Pinning "Reflection" on the Agenda: Investigating Reflection in Human-LLM Co-Creation for Creative Coding

Anqi Wang , Zhizhuo Yin , Yulu Hu , Yuanyuan Mao , Lei Han , Xin Tong , Keqin Jiao , Pan Hui This is my paper
classification cs.HC cs.AI
keywords reflectioncreativecodingbehaviorco-creationinvocationreflectiveagenda
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Large language models (LLMs) are increasingly integrated into creative coding, yet how users reflect, and how different co-creation conditions influence reflective behavior, remains underexplored. This study investigates situated, moment-to-moment reflection in creative coding under two prompting strategies: the entire task invocation (T1) and decomposed subtask invocation (T2), to examine their effects on reflective behavior. Our mixed-method results reveal three distinct reflection types and show that T2 encourages more frequent, strategic, and generative reflection, fostering diagnostic reasoning and goal redefinition. These findings offer insights into how LLM-based tools foster deeper creative engagement through structured, behaviorally grounded reflection support.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. "Like Taking the Path of Least Resistance": Exploring the Impact of LLM Interaction on the Creative Process of Programming

    cs.HC 2026-05 conditional novelty 5.0

    LLM assistance shortens idea-generation periods and reduces creative moments during programming tasks while yielding solutions with comparable idea counts and greater functional correctness.

  2. Understanding the Human-LLM Dynamic: A Literature Survey of LLM Use in Programming Tasks

    cs.SE 2024-10 unverdicted novelty 3.0

    A survey of user studies on LLM use in programming that identifies interaction behaviors, mixed benefits and weaknesses, and factors influencing human and task performance.