Instant messages: a framework for reading between the lines

  • Authors:
  • Jeffrey D. Campbell

  • Affiliations:
  • UMBC, Baltimore, MD

  • Venue:
  • CSCW '04 Proceedings of the 2004 ACM conference on Computer supported cooperative work
  • Year:
  • 2004

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Abstract

A framework is described for analyzing keystroke level data from instant messages (IM). This is unlike other analyses of IM which employ server-based logs of messages. This framework can be used to identify metrics for evaluating the usability of IM during message composition. The current objective is evaluating awareness features. The model also identifies quantifiable factors that can be computed automatically during IM usage that could allow the system to adapt to different styles of IM usage. Data from a representative usability evaluation scenario is utilized to illustrate some results of using this framework. Computational aspects of the framework have been implemented in GLogger.