Understanding Narrative Linearity for Telling Expressive Time-Oriented Stories
Xingyu Lan, Xinyue Xu, Nan Cao
摘要
Creating expressive narrative visualization often requires choosing a well-planned narrative order that invites the audience in. The narrative can either follow the linear order of story events (chronology), or deviate from linearity (anachronies). While evidence exists that anachronies in novels and films can enhance story expressiveness, little is known about how they can be incorporated into narrative visualization. To bridge this gap, this work introduces the idea of narrative linearity to visualization and investigates how different narrative orders affect the expressiveness of time-oriented stories. First, we conducted preliminary interviews with seven experts to clarify the motivations and challenges of manipulating narrative linearity in time-oriented stories. Then, we analyzed a corpus of 80 time-oriented stories and identified six most salient patterns of narrative orders. Next, we conducted a crowdsourcing study with 221 participants. Results indicated that anachronies have the potential to make time-oriented stories more expressive without hindering comprehensibility.
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引用它的顶会 Paper13
- A Design Space for Applying the Freytag's Pyramid Structure to Data StoriesLeni Yang, Xian Xu, Xingyu Lan, Ziyan Liu 等IEEE VIS 2021 · 被引用 77 次
- Affective Visualization Design: Leveraging the Emotional Impact of DataXingyu Lan, Yanqiu Wu, Nan CaoIEEE VIS 2023 · 被引用 75 次
- Erato: Cooperative Data Story Editing via Fact InterpolationMengdi Sun, Ligan Cai, Weiwei Cui, Yanqiu Wu 等IEEE VIS 2022 · 被引用 46 次
- Negative Emotions, Positive Outcomes? Exploring the Communication of Negativity in Serious Data StoriesXingyu Lan, Yanqiu Wu, Yang Shi, Qing Chen 等CHI 2022 · 被引用 43 次
- Breaking the Fourth Wall of Data Stories through InteractionYang Shi, Tian Gao, Xiaohan Jiao, Nan CaoIEEE VIS 2022 · 被引用 25 次
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