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-centered aspects in writing and improve writing aid systems.

External IDs:doi:10.1145/3690712.3690723