Analysis tools in the study of distributed decisio

Authors: Ola Leifler Henrik Eriksson

Publish Date: 2011/03/17

Volume: 14, Issue: 2, Pages: 157-168

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Abstract

Our understanding of distributed decision making in professional teams and their performance comes in part from studies in which researchers gather and process information about the communications and actions of teams In many cases the data sets available for analysis are large unwieldy and require methods for exploratory and dynamic management of data In this paper we report the results of interviewing eight researchers on their work process when conducting such analyses and their use of support tools in this process Our aim with the study was to gain an understanding of their workflow when studying distributed decision making in teams and specifically how automated pattern extraction tools could be of use in their work Based on an analysis of the interviews we elicited three issues of concern related to the use of support tools in analysis focusing on a subset of data to study drawing conclusions from data and understanding tool limitations Together these three issues point to two observations regarding tool use that are of specific relevance to the design of intelligent support tools based on pattern extraction openendedness and transparency

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