Data storytelling is powerful for communicating data insights, but it requires diverse skills and considerable effort from human creators. Recent research has widely explored the potential for artificial intelligence (AI) to support and augment humans in data storytelling. However, there lacks a systematic review to understand data storytelling tools from the perspective of human-AI collaboration, which hinders researchers from reflecting on the existing collaborative tool designs that promote humans’ and AI’s advantages and mitigate their shortcomings. This paper investigated existing tools with a framework from two perspectives: the stages in the storytelling workflow where a tool serves, including analysis, planning, implementation, and communication, and the roles of humans and AI in each stage, such as creators, assistants, optimizers, and reviewers. Through our analysis, we recognize the common collaboration patterns in existing tools, summarize lessons learned from these patterns, and further illustrate research opportunities for human-AI collaboration in data storytelling.
Where Are We So Far? Understanding Data Storytelling Tools from the Perspective of Human-AI Collaboration
Published 2023 in International Conference on Human Factors in Computing Systems
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- Publication year
2023
- Venue
International Conference on Human Factors in Computing Systems
- Publication date
2023-09-27
- Fields of study
Computer Science
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Semantic Scholar
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