SARD: A Human-AI Collaborative Story Generation
- URL: http://arxiv.org/abs/2403.01575v1
- Date: Sun, 3 Mar 2024 17:48:42 GMT
- Title: SARD: A Human-AI Collaborative Story Generation
- Authors: Ahmed Y. Radwan, Khaled M. Alasmari, Omar A. Abdulbagi, Emad A.
Alghamdi
- Abstract summary: We propose SARD, a drag-and-drop visual interface for generating a multi-chapter story using large language models.
Our evaluation of the usability of SARD and its creativity support shows that while node-based visualization of the narrative may help writers build a mental model, it exerts unnecessary mental overhead to the writer.
We also found that AI generates stories that are less lexically diverse, irrespective of the complexity of the story.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Generative artificial intelligence (GenAI) has ushered in a new era for
storytellers, providing a powerful tool to ignite creativity and explore
uncharted narrative territories. As technology continues to advance, the
synergy between human creativity and AI-generated content holds the potential
to redefine the landscape of storytelling. In this work, we propose SARD, a
drag-and-drop visual interface for generating a multi-chapter story using large
language models. Our evaluation of the usability of SARD and its creativity
support shows that while node-based visualization of the narrative may help
writers build a mental model, it exerts unnecessary mental overhead to the
writer and becomes a source of distraction as the story becomes more
elaborated. We also found that AI generates stories that are less lexically
diverse, irrespective of the complexity of the story. We identified some
patterns and limitations of our tool that can guide the development of future
human-AI co-writing tools.
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