A method of analysis to uncover artefact-communication relationships

Nik Nailah Binti Abdullah, Helen C. Sharp, Shinichi Honiden

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This paper introduces a method of analysis to uncover artefact- communication relationships in real-world settings. This method is based on learning and communication theory, together with situated cognition. It was developed in the context of agile software development practice. Using this method, we found evidence that physical artefacts help team members to define contexts within their practice, which in turn become part of their contingency plan for communicating during specific contexts of communication. A contingency plan is a set of communicative actions that members take in future events that are possible but not intended, including the unanticipated.

Original languageEnglish
Title of host publicationProceedings of the 23rd International Florida Artificial Intelligence Research Society Conference, FLAIRS-23
Pages349-354
Number of pages6
Publication statusPublished - 2010 Oct 19
Externally publishedYes
Event23rd International Florida Artificial Intelligence Research Society Conference, FLAIRS-23 - Daytona Beach, FL, United States
Duration: 2010 May 192010 May 21

Publication series

NameProceedings of the 23rd International Florida Artificial Intelligence Research Society Conference, FLAIRS-23

Other

Other23rd International Florida Artificial Intelligence Research Society Conference, FLAIRS-23
CountryUnited States
CityDaytona Beach, FL
Period10/5/1910/5/21

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

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  • Cite this

    Abdullah, N. N. B., Sharp, H. C., & Honiden, S. (2010). A method of analysis to uncover artefact-communication relationships. In Proceedings of the 23rd International Florida Artificial Intelligence Research Society Conference, FLAIRS-23 (pp. 349-354). (Proceedings of the 23rd International Florida Artificial Intelligence Research Society Conference, FLAIRS-23).