Title: Network analysis of information flows to integrate in-vehicle information systems

Authors: John D. Lee, Barry H. Kantowitz

Addresses: Department of Mechanical and Industrial Engineering, University of Iowa, Iowa City, IA 52242, USA. ' University of Michigan, UMTRI 2901 Baxter Road, Ann Arbor, MI 48109, USA

Abstract: Many in-vehicle information systems (IVIS) are developed without consideration of how components need to be integrated. This can increase the cognitive load, errors and annoyance for drivers. This paper presents a taxonomy of IVIS functions and describes the information flows associated with these functions to show how a network analysis can guide integration. This analytic technique uses elements of graph theory to identify central functions and groups of functions that should be considered in system design. The analysis highlights potential dangers of failing to design integrated systems and the benefits of effective integration. Specifically, the analysis of information flows identifies highly central functions and groups of functions that are not obvious from the more traditional intuitive analysis of graphical representations.

Keywords: network analysis; function analysis; system integration; driver distraction; IVIS function taxonomy; cognitive task analysis; information architecture; in-vehicle information systems; information flows; graph theory.

DOI: 10.1504/IJVICS.2005.007584

International Journal of Vehicle Information and Communication Systems, 2005 Vol.1 No.1/2, pp.24 - 43

Published online: 08 Aug 2005 *

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