HCDec 17, 2017

Organic Visualization of Document Evolution

arXiv:1712.06179v113 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the need for tools to make keystroke-level writing data understandable, primarily for researchers and educators, but it is incremental as it builds on existing data availability.

The authors tackled the problem of visualizing fine-grained document writing histories by proposing a data structure and organic visualization interface, evaluating it with a pilot study on student documents that revealed writing strategies, local edit density, and hierarchical text structure.

Recent availability of data of writing processes at keystroke-granularity has enabled research on the evolution of document writing. A natural step is to develop systems that can actually show this data and make it understandable. Here we propose a data structure that captures a document's fine-grained history and an organic visualization that serves as an interface to it. We evaluate a proof-of-concept implementation of the system through a pilot study with documents written by students at a public university. Our results are promising and reveal facets such as general strategies adopted, local edition density and hierarchical structure of the final text.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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