FileWeaver: Flexible File Management with Automatic Dependency Tracking

Knowledge Management & Team AwarenessKnowledge Worker Tools & WorkflowsUniversity Professors & ResearchersHCI ResearchersStatisticians & Data Scientists

Knowledge management and sharing involves a variety of specialized but isolated software tools, tied together by the files that these tools use and produce. We interviewed 23 scientists and found that they all had difficulties using the file system to keep track of, re-find and maintain consistency among related but distributed information. We introduce FileWeaver, a system that automatically detects dependencies among files without explicit user action, tracks their history, and lets users interact directly with the graphs representing these dependencies and version history. Changes to a file can trigger recipes, either automatically or under user control, to keep the file consistent with its dependants. Users can merge variants of a file, e.g. different output formats, into a polymorphic file, or morph, and automate the management of these variants. By making dependencies among files explicit and visible, FileWeaver facilitates the automation of workflows by scientists and other users who rely on the file system to manage their data.

Quick Actions

Share

Share this page

ios_share

https://hci.top/en/papers/uist/42104/2020

AdRecommended

Learn AI Coding at CodeNow

open_in_newOpen DOI Link
DOI: https://dl.acm.org/doi/10.1145/3379337.3415830
At a Glance

Paper Snapshot

fact_check
dataset
Source
UIST
calendar_month
Year
2020
emoji_events
Award
No award tagged
group
Authors
3 authors
sell
Subtopics
Knowledge Management & Team Awareness, Knowledge Worker Tools & Workflows
work
Professions
University Professors & Researchers, HCI Researchers, Statisticians & Data Scientists
article
Content Status
Abstract only
hub
Related Papers
0 related papers