The state of knowledge-based systems
Communications of the ACM
Explanations from knowledge-based systems and cooperative problem solving: an empirical study
International Journal of Human-Computer Studies
Decision Support Systems and Intelligent Systems
Decision Support Systems and Intelligent Systems
Expert Systems: A View of the Field
IEEE Expert: Intelligent Systems and Their Applications
Feedback-labelling synergies in judgmental stock price forecasting
Decision Support Systems
The design features of forecasting support systems and their effectiveness
Decision Support Systems
Journal of Management Information Systems
The design features of forecasting support systems and their effectiveness
Decision Support Systems
Explaining clinical decisions by extracting regularity patterns
Decision Support Systems
Automatic generation of textual summaries from neonatal intensive care data
Artificial Intelligence
Interfaces
How Incorporating Feedback Mechanisms in a DSS Affects DSS Evaluations
Information Systems Research
Dealing with complex queries in decision-support systems
Data & Knowledge Engineering
Online government advisory service innovation through Intelligent Support Systems
Information and Management
Argumentation-logic for explaining anomalous patient responses to treatments
AIME'11 Proceedings of the 13th conference on Artificial intelligence in medicine
Outcomes of effective explanations: Empowering citizens through online advice
Decision Support Systems
Factors influencing decision support system acceptance
Decision Support Systems
Argumentation-logic for creating and explaining medical hypotheses
Artificial Intelligence in Medicine
Two machine-learning techniques for mining solutions of the ReleasePlannerTM decision support system
Information Sciences: an International Journal
Explaining data-driven document classifications
MIS Quarterly
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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.