Interface design issues for advice-giving expert systems
Communications of the ACM
The state of knowledge-based systems
Communications of the ACM
Early expert systems: where are they now?
MIS Quarterly
Explanations from knowledge-based systems and cooperative problem solving: an empirical study
International Journal of Human-Computer Studies
The effects of contextualized access to knowledge on judgement
International Journal of Human-Computer Studies
Explaining Control Strategies in Problem Solving
IEEE Expert: Intelligent Systems and Their Applications
Explanation provision and use in an intelligent decision aid: Research Articles
International Journal of Intelligent Systems in Accounting and Finance Management
Journal of Management Information Systems
XPLAIN: a system for creating and explaining expert consulting programs
Artificial Intelligence
Recommendation Agents for Electronic Commerce: Effects of Explanation Facilities on Trusting Beliefs
Journal of Management Information Systems
Brand positioning strategy using search engine marketing
MIS Quarterly
Technology Dominance in Complex Decision Making: The Case of Aided Credibility Assessment
Journal of Management Information Systems
Intelligent pairing assistant for air operation centers
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
Argumentation and intuitive decision making: criminal sentencing and sentence indication
AICOL'11 Proceedings of the 25th IVR Congress conference on AI Approaches to the Complexity of Legal Systems: models and ethical challenges for legal systems, legal language and legal ontologies, argumentation and software agents
International Journal of IT/Business Alignment and Governance
Explaining data-driven document classifications
MIS Quarterly
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Explanation facilities are considered essential in facilitating user interaction with knowledge-based systems (KBS). Research on explanation provision and the impact on KBS users has shown that the domain expertise affects the type of explanations selected by the user and the basis for seeking such explanations. The prior literature has been limited, however, by the use of simulated KBS that generally provide only feedback explanations (i.e., ex post to the recommendation of the KBS being presented to the user). The purpose of this study is to examine the way users with varying levels of expertise use alternative types of KBS explanations and the impact of that use on decision making. A total of 64 partner/ manager-level and 82 senior/staff-level insolvency professionals participated in an experiment involving the use of a fully functioning KBS to complete a complex judgment task. In addition to feedback explanations, the KBS also provided feedforward explanations (i.e., general explanations during user input about the relationships between information cues in the KBS) and included definition type explanations (i.e., declarative-level knowledge). The results show that users were more likely to adhere to recommendations of the KBS when an explanation facility was available. Choice patterns in using explanations indicated that novices used feedforward explanations more than experts did, while experts were more likely than novices to use feedback explanations. Novices also used more declarative knowledge and initial problem solving type explanations, while experts used more procedural knowledge explanations. Finally, use of feedback explanations led to greater adherence to the KBS recommendation by experts-a condition that was even more prevalent as the use of feedback explanations increased. The results have several implications for the design and use of KBS in a professional decision-making environment.