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LLMs as Writing Assistants: Exploring Perspectives on Sense of Ownership and Reasoning

Azmine Toushik Wasi, Mst Rafia Islam, Raima Islam

Abstract

Sense of ownership in writing confines our investment of thoughts, time, and contribution, leading to attachment to the output. However, using writing assistants introduces a mental dilemma, as some content isn't directly our creation. For instance, we tend to credit Large Language Models (LLMs) more in creative tasks, even though all tasks are equal for them. Additionally, while we may not claim complete ownership of LLM-generated content, we freely claim authorship. We conduct a short survey to examine these issues and understand underlying cognitive processes in order to gain a better knowledge of human-computer interaction in writing and improve writing aid systems.

LLMs as Writing Assistants: Exploring Perspectives on Sense of Ownership and Reasoning

Abstract

Sense of ownership in writing confines our investment of thoughts, time, and contribution, leading to attachment to the output. However, using writing assistants introduces a mental dilemma, as some content isn't directly our creation. For instance, we tend to credit Large Language Models (LLMs) more in creative tasks, even though all tasks are equal for them. Additionally, while we may not claim complete ownership of LLM-generated content, we freely claim authorship. We conduct a short survey to examine these issues and understand underlying cognitive processes in order to gain a better knowledge of human-computer interaction in writing and improve writing aid systems.
Paper Structure (12 sections, 3 figures)

This paper contains 12 sections, 3 figures.

Figures (3)

  • Figure 1: Mental dilemmas while using LLMs as Writing Assistants: Who wrote it? Who owns it?
  • Figure 2: Survey Statistics: Participants answering how much contribution (1 being very low, and 5 being very high) they have in different types of LLM-assisted Writings
  • Figure 3: Survey Statistics: Different Levels of Sense of Ownership