The effects of structural characteristics of explanations on use of a DSS

Gönül, Sinan, Önkal, Dilek and Lawrence, Michael (2006) The effects of structural characteristics of explanations on use of a DSS. Decision Support Systems, 42 (3). pp. 1481-1493. ISSN 0167-9236

Full text not available from this repository.
Official URL: https://doi.org/10.1016/j.dss.2005.12.003

Abstract

Research in the field of expert systems has shown that providing supporting explanations may influence effective use of system developed advice. However, despite many studies showing the less than optimal use made of DSS prepared advice, almost no research has been undertaken to study if the provision of explanations enhances the users' ability to wisely accept DSS advice. This study outlines an experiment to examine the effects of structural characteristics of explanations provided within a forecasting DSS context. In particular, the effects of explanation length (short vs. long) and the conveyed confidence level (weak vs. strong confidence) are examined. Strongly confident and long explanations are found to be more effective in participants' acceptance of interval forecasts. In addition, explanations with higher information value are more effective than those with low information value and thus are persuasive tools in the presentation of advice to users.

Item Type: Article
Uncontrolled Keywords: Explanation; Forecast; Judgment; Adjustment
Subjects: G500 Information Systems
N200 Management studies
Department: Faculties > Business and Law > Newcastle Business School > Business and Management
Depositing User: Paul Burns
Date Deposited: 08 Jan 2018 10:25
Last Modified: 15 Jan 2018 14:44
URI: http://nrl.northumbria.ac.uk/id/eprint/33022

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