Abstract
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.
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References
McNee, S.M., Riedl, J., Konstan, J.A.: Being accurate is not enough: how accuracy metrics have hurt recommender systems. In: CHI 2006, pp. 1097–1101. ACM (2006)
Tintarev, N., Masthoff, J.: A survey of explanations in recommender systems. In: ICDE Workshop, pp. 801–810. IEEE Computer Society, USA (2007)
Labreuche, C.: A general framework for explaining the results of a multi-attribute preference model. Artif. Intell. 175, 1410–1448 (2011)
Junker, U.: Quickxplain: Preferred explanations and relaxations for over-constrained problems. In: AAAI 2004, pp. 167–172. AAAI Press, USA (2004)
Lichtenstein, S., Slovic, P.: The construction of preference. Cambridge Univer. Press (2006)
Simonson, I., Tversky, A.: Choice in context: Tradeoff contrast and extremeness aversion. Journal of Marketing Research 29(3), 281–295 (1992)
Glaser, B.G.: Emergence vs. Forcing: Basics of Grounded Theory Analysis. Sociology Press, Mill Valley (1992)
Nunes, I., Miles, S., Luck, M., Lucena, C.: A study on justifications for choices: Explanation patterns and guidelines. Tech. Report CS-2012-03, University of Waterloo, Canada (2012)
McSherry, D.: Explanation in recommender systems. Artif. Intell. Rev. 24, 179–197 (2005)
Pu, P., Chen, L.: Trust-inspiring explanation interfaces for recommender systems. Knowledge-Based Systems 20, 542–556 (2007)
Friedrich, G., Zanker, M.: A taxonomy for generating explanations in recommender systems. AI Magazine 32(3), 90–98 (2011)
Nunes, I., Miles, S., Luck, M., Lucena, C.: User-centric preference-based decision making. In: AAMAS 2012 (to appear, 2012)
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Nunes, I., Miles, S., Luck, M., de Lucena, C.J.P. (2012). Investigating Explanations to Justify Choice. In: Masthoff, J., Mobasher, B., Desmarais, M.C., Nkambou, R. (eds) User Modeling, Adaptation, and Personalization. UMAP 2012. Lecture Notes in Computer Science, vol 7379. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31454-4_18
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DOI: https://doi.org/10.1007/978-3-642-31454-4_18
Publisher Name: Springer, Berlin, Heidelberg
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