Corpus ID: 9007260

Designing Explanation Aware Systems: The Quest for Explanation Patterns

@inproceedings{Cassens2007DesigningEA,
  title={Designing Explanation Aware Systems: The Quest for Explanation Patterns},
  author={J. Cassens and A. Kofod-Petersen},
  booktitle={ExaCt},
  year={2007}
}
This work focuses on the socio-technical aspects of artificial intelligence, namely how (specific types of) intelligent systems function in human workplace environments. The goal is first to get a better understanding of human needs and expectations when it comes to interaction with intelligent systems, and then to make use of the understanding gained in the process of designing and implementing such systems.The work presented focusses on a specific problem in developing intelligent systems… Expand
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References

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This work focuses on the socio-technical aspects of artificial intelligence, namely how (specific types of) intelligent systems function in human workplace environments. The goal is first to get aExpand
Using Activity Theory to Model Context Awareness: A Qualitative Case Study
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By putting social theories to work in the field of artificial intelligence, this work shows that results from other fields can be beneficial in understanding what explanatory capabilities are needed for a given intelligent system, and to ascertain in which situations an explanation should be delivered. Expand
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This paper is a first pass on examining issues concerning explanations produced by CBR systems from the knowledge containers perspective and discusses what naturally can be explained by each of the four knowledge containers in relation to scientific, conceptual, and cognitive explanations. Expand
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Investigating the nature of explanation use and factors that influence it during users' interaction with a knowledge-based system (KBS) for decision-making offers new insights to why explanations are useful and important, what factors influence explanation use, and what information should be included in explanations. Expand
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A framework for explanation in case-based reasoning (CBR) based on explanation goals is presented, and ways that the goals of the user and system designer should be taken into account when deciding what is a good explanation for a given CBR system are proposed. Expand
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An overview of the foundational issues related to case-based reasoning is given, some of the leading methodological approaches within the field are described, and the current state of the field is exemplified through pointers to some systems. Expand
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A prelimenary outline of the combination of two recently proposed classifications of explanations based on the type of the explanation itself and user goals which should be fulfilled is presented. Expand
Goal-Based Explanation Evaluation
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It is argued that understanding what determines explanations' goodness requires a dynamic theory of evaluation, based on analysis of the information needed to satisfy the many goals that can prompt explanation. Expand
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