Investigating explanations to justify choice

Many different forms of explanation have been proposed for justifying decisions made by automated systems. However, there is no consensus on what constitutes a good explanation, or what information these explanations should include. In this paper, we present the results of a study into how people ju...

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Bibliographic Details
Published inProceedings of the 20th international conference on User Modeling, Adaptation, and Personalization pp. 212 - 224
Main Authors Nunes, Ingrid, Miles, Simon, Luck, Michael, de Lucena, Carlos J. P.
Format Conference Proceeding Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer-Verlag 16.07.2012
Springer Berlin Heidelberg
SeriesACM Other Conferences
Subjects
Guidelines
Patterns
Recommender Systems
User Explanation
guidelines
recommender systems
user explanation
patterns
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Summary:Many different forms of explanation have been proposed for justifying decisions made by automated systems. However, there is no consensus on what constitutes a good explanation, or what information these explanations should include. In this paper, we present the results of a study into how people justify their decisions. Analysis of our results allowed us to extract the forms of explanation adopted by users to justify choices, and the situations in which these forms are used. The analysis led to the development of guidelines and patterns for explanations to be generated by automated decision systems. This paper presents the study, its results, and the guidelines and patterns we derived.
ISBN:3642314538
9783642314537
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-642-31454-4_18