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Comparing the effectiveness of intentional preferences versus preferences over specific choices: a user study

Comparing the effectiveness of intentional preferences versus preferences over specific choices:... Many works have proposed the enrichment of database query languages with preferences, aiding the user to better rank the results. In this work we propose and examine the hypothesis thaffective preference specification in many cases presupposes knowledge of the information space and the available choices. Otherwise, the expression of intentional preferences can be a tiresome process, leading to non-optimal results. We designed a user study from an information systems perspective, where participants had to express their preferences for buying a new car (intentional preferences) and then select the most preferred car from a list (preferences over specific choices). The results showed that only 20% of the users expressed intentional preferences that led to the finally selected car. The conducted statistical hypothesis testing supports the results with a 1% error. Consequently, we argue that the ability to gradually express preferences while exploring the available choices is beneficial for effectively and efficiently ranking a set of choices. Keywords: information systems; multi criteria decision making; preferences; exploratory search; car purchase; user study; preference-enriched query languages. Reference to this paper should be made as follows: Papadakos, P. and Tzitzikas, Y. (2016) `Comparing the effectiveness of intentional preferences versus preferences over specific choices: http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Information and Decision Sciences Inderscience Publishers

Comparing the effectiveness of intentional preferences versus preferences over specific choices: a user study

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Publisher
Inderscience Publishers
Copyright
Copyright © 2016 Inderscience Enterprises Ltd.
ISSN
1756-7017
eISSN
1756-7025
DOI
10.1504/IJIDS.2016.080462
Publisher site
See Article on Publisher Site

Abstract

Many works have proposed the enrichment of database query languages with preferences, aiding the user to better rank the results. In this work we propose and examine the hypothesis thaffective preference specification in many cases presupposes knowledge of the information space and the available choices. Otherwise, the expression of intentional preferences can be a tiresome process, leading to non-optimal results. We designed a user study from an information systems perspective, where participants had to express their preferences for buying a new car (intentional preferences) and then select the most preferred car from a list (preferences over specific choices). The results showed that only 20% of the users expressed intentional preferences that led to the finally selected car. The conducted statistical hypothesis testing supports the results with a 1% error. Consequently, we argue that the ability to gradually express preferences while exploring the available choices is beneficial for effectively and efficiently ranking a set of choices. Keywords: information systems; multi criteria decision making; preferences; exploratory search; car purchase; user study; preference-enriched query languages. Reference to this paper should be made as follows: Papadakos, P. and Tzitzikas, Y. (2016) `Comparing the effectiveness of intentional preferences versus preferences over specific choices:

Journal

International Journal of Information and Decision SciencesInderscience Publishers

Published: Jan 1, 2016

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