LLMs as Writing Assistants: Exploring Perspectives on Sense of Ownership and Reasoning
Fuente:
arXiv
Guardado en:
| Autores principales: | , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866909350736429056 |
|---|---|
| author | Wasi, Azmine Toushik Islam, Mst Rafia Islam, Raima |
| author_facet | Wasi, Azmine Toushik Islam, Mst Rafia Islam, Raima |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_00027 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | LLMs as Writing Assistants: Exploring Perspectives on Sense of Ownership and Reasoning Wasi, Azmine Toushik Islam, Mst Rafia Islam, Raima Human-Computer Interaction Artificial Intelligence Computation and Language Computers and Society Machine Learning 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. |
| title | LLMs as Writing Assistants: Exploring Perspectives on Sense of Ownership and Reasoning |
| topic | Human-Computer Interaction Artificial Intelligence Computation and Language Computers and Society Machine Learning |
| url | https://arxiv.org/abs/2404.00027 |