Abstract
The objective of this research was to develop an initial taxonomy that grouped similar secondary in-vehicle tasks based on driving-related performance measures. This type of taxonomy would be useful to system designers when developing in-vehicle tasks and to researchers. Research was conducted using 2 infotainment systems, 17 tasks, and 89 participants to develop and validate an initial taxonomy. The results indicate that the 17 tasks could be parsed into four distinct groups ranging from selecting an AM band to destination entry. The groupings are based on number of glances and task completion time, which provided the best separation between the groups and consistent results for both static and dynamic testing.
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