A Method for Multi-Context Boundary Profiling for Individual Communication Management

Philip Schuster, Stefan Oppl

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

Abstract

Permanent reachability via mobile communications technologies has become a ubiquitous phenomenon. The traditional boundaries between peoples’ different contexts in their lives become blurry and begin to dissolve, if they are not actively maintained. Such boundary management activities allow to individually determine which communication request are considered acceptable in a particular context. Existing research in this field has a used a fixed set of prespecified contexts to examine boundary management activities and identify different boundary profiles. Based on results from context-aware computing and mental model research, we argue for an open-ended, individual set of contexts to be considered for boundary management. Consequently, we develop an open structure elaboration technique to allow for individual specification of contexts and the information necessary to create a boundary profile, as identified in related work. The method is validated in an exploratory study, which was designed to verify the hypothesis that boundary management should be based on individually specified contexts, and show the feasibility of the proposed method. The results indicatively confirm our assumptions and show that the method can be used to elicit the required information.
Original languageEnglish
Title of host publicationProceedings of the Workshops Subject-orientation in Digitalization and Community Support, and Work-In-Progress Contributions at S-BPM ONE 2018
Number of pages20
Volume2074
Publication statusPublished - 2018

Publication series

NameCEUR-WS

Fields of science

  • 102 Computer Sciences
  • 102006 Computer supported cooperative work (CSCW)
  • 102015 Information systems
  • 102024 Usability research
  • 102025 Distributed systems
  • 102027 Web engineering
  • 603124 Theory of science

JKU Focus areas

  • Social and Economic Sciences (in general)

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