Preference-Enriched Faceted Search for Voting Aid Applications

Authors:
Publisher website
Google Scholar
Abstract
Most Voting Advice Applications (VAAs) are questionnaire-based systems. In this paper we introduce, analyze and evaluate an alternative approach; we show how Preference-enriched Faceted Search (PFS) can be used as a VAA. The introduced approach is more expressive, since it allows users to prioritize their preferences, it is more transparent since users can see how each preference affects the ranking of the parties, and it is more informative since during the interaction they can see the options associated to each party. Moreover we introduce an enrichment of PFS with scores that quantify the degree up to which a party satisfies the preferences of a user. Finally we compare the PFS with the questionnaire-based method according to various criteria, and we describe two task-based evaluations with users that we have carried out whose results were very positive.

This publication has 19 references indexed in Scilit: