Towards Well-Founded and Richer Context-Awareness Conceptual Models

Boris Shishkov*, Marten van Sinderen

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

5 Citations (Scopus)


We observe that context-aware systems currently developed in one domain or another are mostly technology-driven, and not so much user-centric. They are often not based on a thorough analysis of the effects they produce when interacting with their context, especially regarding the contribution of these effects to user needs. We argue that a conceptual framework is needed to support such analyses. In this paper we identify the concepts necessary to define important structural aspects of a context-aware system and its context, and to formulate generalizations about effects of the interaction of the context-aware system and its context related to user needs. Using this conceptual framework, we classify context-aware systems in terms of the kinds of context assumptions that we can make at design time, and we discuss several threats to validity of a context-aware system. We believe that the proposed conceptual framework can help to better assess the utility concerning a context-aware system design. We use various examples of context-aware applications to illustrate our ideas.

Original languageEnglish
Title of host publicationBusiness Modeling and Software Design - 11th International Symposium, BMSD 2021, Proceedings
EditorsBoris Shishkov
Number of pages15
ISBN (Print)9783030799755
Publication statusPublished - 2021
Event11th International Symposium on Business Modeling and Software Design, BMSD 2021 - Sofia, Bulgaria
Duration: 5 Jul 20217 Jul 2021

Publication series

NameLecture Notes in Business Information Processing
Volume422 LNBIP
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356


Conference11th International Symposium on Business Modeling and Software Design, BMSD 2021


  • Adaptive service delivery
  • Architectural structure
  • Conceptual modeling
  • Context-awareness
  • User needs
  • Utility analysis


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