@article{ref1,
title="Discovering the events expert practitioners extract from dynamic data streams: the modified unit marking technique",
journal="Cognition, technology and work",
year="2007",
author="Christoffersen, Klaus and Woods, David D. and Blike, George T.",
volume="9",
number="2",
pages="81-98",
abstract="One of the cornerstones of expert performance in complex domains is the ability to perceive problem situations in terms of their task-relevant semantic properties. One such class of properties consists of phenomena that are defined in terms of patterns of change over time, i.e., events. A basic pre-requisite for working towards tools to support event recognition is a method for understanding the events that expert practitioners find meaningful in a given field of practice. In this article we present the modified unit marking procedure (mUMP), a technique adapted from work on social perception to facilitate identification of the meaningful phenomena which observers attend to in a dynamic data array. The mUMP and associated data analysis techniques are presented with examples from a first of a kind study where they were used to elicit and understand the events practitioners found meaningful in a scenario from an actual complex work domain.<p /><p>Language: en</p>",
language="en",
issn="1435-5558",
doi="10.1007/s10111-006-0043-y",
url="http://dx.doi.org/10.1007/s10111-006-0043-y"
}