A Month’s Worth of Labelled Active Window Tracking Data

Iris Beerepoot*

*Corresponding author for this work

Research output: Contribution to journalConference articleAcademicpeer-review

Abstract

Recent process mining techniques provide interesting new ways to uncover and comprehend complex work practices within organisations. The efficacy of process mining, however, is contingent upon the accessibility and quality of event logs. This paper introduces and describes a publicly-available dataset containing labelled Active Window Tracking data, capturing my app usage and active screen titles over the course of four weeks. It aims to support diverse studies: classifying activities from window titles, identifying action patterns, and developing new visualisations for detailed process data. By making this resource available, I aim to encourage the development of new process mining techniques that provide detailed insights into work practices.

Original languageEnglish
Pages (from-to)61-65
Number of pages5
JournalCEUR Workshop Proceedings
Volume3758
Publication statusPublished - 2024
EventBest Dissertation Award, Doctoral Consortium, and Demonstration and Resources Forum at 22nd International Conference on Business Process Management, BPM-D 2024 - Krakow, Poland
Duration: 1 Sept 20246 Sept 2024

Keywords

  • Active Window Tracking
  • cross-system data
  • Event data
  • UI logs

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