User-Defined Control Limits for Acceptable Message Transmission Delays in Computer-Mediated Communications

Part of the The Kluwer International Series in Engineering and Computer Science book series (SECS, volume 372)


Growing use of computer-mediated communications technology in organizations has increased the demands on system performance and intensified the need for technology implementations that are responsive to user needs and expectations, situation constraints, and task demands. This paper describes research intended to develop control limit specifications for one class of communications systems, electronic voice mail. Based on surveys of over 1000 respondents, this research uses a feedback control model of tolerance for message transmission delay to determine upper control limits of “maximum tolerable delay” across a range of situation constraints related to message urgency, message volume, and sender-receiver distance.


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  1. Box, G. E. P. and Draper, N. R. (1987). Empirical Model-Building and Response Surfaces. New York: John Wiley & Sons.zbMATHGoogle Scholar
  2. Caldwell, B. S. (1992a). Group Isolation and Performance Factors in Human-Environment Systems. In AIAA Space Programs and Technologies Conference (Huntsville, AL) (AIAA 92–1530). Washington, DC: American Institute of Aeronautics and Astronautics.Google Scholar
  3. Caldwell, B. S. (1992b). The Role of Socio-Technical Systems Engineering in Implementing Office Automation and Information Technologies. In N. Harvey and F. Emspak (Eds.), Automated Systems Based on Human Skill (and Intelligence): Selected Papers from the IFAC Symposium (pp. 63–68). Oxford, UK: Pergamon/International Federation of Automatic Control.Google Scholar
  4. Caldwell, B. S. (1993a). Situational and information constraints affecting communications with 1–1000 second transmission delays. In G. Salvendy and M. J. Smith (Eds.), Human-Computer Interaction: Applications and Case Studies—Proceedings of the Fifth International Conference on Human-Computer Interaction, vol. 1 (pp. 167–170). Amsterdam: Elsevier.Google Scholar
  5. Caldwell, B. S. (1993b). Social implications of feedback and delay characteristics in electronic communication usage. In G. Salvendy and M. Smith (Eds.), Human-Computer Interaction: Software and Hardware Interfaces-Proceedings of the Fifth International Conference on Human-Computer Interaction, vol 2 (pp. 843–848). Amsterdam: Elsevier.Google Scholar
  6. Caldwell, B. S. (1994). Developing Robust Mathematical Models of Information Technology Use in Organizations. In Human Factors in Organizational Design and Management—IV: Proceedings of the Fourth International Symposium on Human Factors in Organizational Design and Management held in Stockholm, Sweden, May 29-June 2, 1994 (pp. 526–530). Amsterdam: North-Holland.Google Scholar
  7. Caldwell, B. S. and Paradkar, P. V. (1995). Factors Affecting User Tolerance for Voice Mail Message Transmission Delays. International Journal of Human-Computer Interaction in press.Google Scholar
  8. Caldwell, B. S. and Uang, S.-T. (1995). Technology Usability and Utility Issues in a State Government Voice Mail Evaluation Survey. Human Factors. 37 (2), 306–320.CrossRefGoogle Scholar
  9. Caldwell, B. S., Uang, S.-T., and Taha, L. H. (1995). Appropriateness of communications media use in organizations: Situation requirements and media characteristics. Behaviour and Information Technology. 14 (4), 199–207.CrossRefGoogle Scholar
  10. Eason, K. (1988). Information Technology and Organizational Change. London: Taylor & Francis.Google Scholar
  11. McGrath, J. E. and Hollingshead, A. B. (1994). Groups Interacting With Technology. Newbury Park, CA: Sage Publications.Google Scholar
  12. Sage, A. P. (1992). Systems Engineering. New York: John Wiley & Sons.Google Scholar
  13. Taha, L. H. and Caldwell, B. S. (1992). Communication Media Acceptance in Organizations: An Alternative Research Model. In Proceedings of the Human Factors Society 36th Annual Meeting (Atlanta) (pp. 881–885). Santa Monica, CA: Human Factors Society.Google Scholar

Copyright information

© Kluwer Academic Publishers 1996

Authors and Affiliations

  1. 1.Department of Industrial EngineeringUniversity of Wisconsin-MadisonMadisonUSA

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