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Generation of information systems from process models to support intentional forgetting of work habits

  • Yuen C. Law
  • , Wilken Wehrt
  • , Sabine Sonnentag
  • , Benjamin Weyers

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Habitual behavior at work can be beneficial because it allows people to perform their tasks more automatically and with less cognitive load. On the downside, habitual work behavior can foster inefficient work strategies as it is executed with lower levels of awareness and relatively rigidly. We propose the development of an interactive system that can help users to develop beneficial habits and change unwanted ones to reach a target workflow. To achieve this goal, first, we must collect specific information of the users' current and target habits. We do this with the help of BPMN diagrams, which are then transformed to reference nets for analysis. In this form, the current and target diagrams are compared to find similarities and differences, which will guide the interactive system. The workflows, described as reference nets, can then be easily embedded into the proposed interactive system, as such description is formally described and is executable.

Original languageEnglish
Title of host publicationProceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EICS 2017
PublisherAssociation for Computing Machinery, Inc
Pages27-32
Number of pages6
ISBN (Electronic)9781450350839
DOIs
StatePublished - 26 Jun 2017
Externally publishedYes
Event9th ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EICS 2017 - Lisbon, Portugal
Duration: 26 Jun 201729 Jun 2017

Publication series

NameProceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EICS 2017

Conference

Conference9th ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EICS 2017
Country/TerritoryPortugal
CityLisbon
Period26/06/1729/06/17

Keywords

  • Graph matching
  • Graph transformation
  • Petri nets
  • Work habits

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