FocalLens: Visualizing Narratives through Focalization
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Abstract (arXiv)
Visualizing narratives is useful to writers to reflect on unfinished drafts and identify unintentional biases and inconsistencies. Literary scholars can use the visualizations to identify nuanced patterns and literary styles from written text. Current narrative visualization is limited to representing character and location co-occurrences in a timeline, omitting important and complex narrative components such as focalization, causality, and speech. This paper aims to capture and visualize underexplored, complex narrative components as a basis for narrative visualization. As a starting point, we propose a new narrative visualization, named FocalLens, that uses focalization, the component that establishes who sees or perceives the events in a narrative, for representing the narrative. We provide the theoretical foundation of focalization and describe various types and facets of focalization. The details are incorporated in the novel visualization that captures how different characters perceive an event, who directly participate in an event, who indirectly observe the event, and who narrate the event. We also developed a tool that provides fluid interaction between the text and the proposed visualization. The tool was evaluated with four writers and scholars in a qualitative study, where writers analyzed their draft stories and scholars analyzed well-known stories. The findings suggest the tool added a new dimension to the workflow for writers and scholars, an analytical lens that is not available otherwise. We conclude by identifying design implications and future directions.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 14 of its 41 references that are in the map. First posted on arXiv 15 Apr 2026.
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14 of 41 references.
References · 14
- 2023Lost in the Middle: How Language Models Use Long Contextscited by 3,455
- 2024A Design Space for Intelligent and Interactive Writing Assistantscited by 76
- 2016The emotional arcs of stories are dominated by six basic shapescited by 71
- 2023The HaLLMark Effect: Supporting Provenance and Transparent Use of Large Language Models in Writing with Interactive Visualizationcited by 24
- 2024Reading Subtext: Evaluating Large Language Models on Short Story Summarization with Writerscited by 19
- 2024Visual Story-Writing: Writing by Manipulating Visual Representations of Storiescited by 10
- 2023Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understandingcited by 9
- 2023Portrayal: Leveraging NLP and Visualization for Analyzing Fictional Characterscited by 7
- 2020What time is it? Temporal Analysis of Novelscited by 6
- 2022DramatVis Personae: Visual Text Analytics for Identifying Social Biases in Creative Writingcited by 4
- 2023Analyzing Film Adaptation through Narrative Alignmentcited by 3
- 2017VisAR: Bringing Interactivity to Static Data Visualizations through Augmented Realitycited by 2
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