You Do Not Decide for Me! Evaluating Explainable Group Aggregation Strategies for Tourism.

Shabnam Najafian, Daniel Herzog, Sihang Qui, Oana Inel, Nava Tintarev

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

Most recommender systems propose items to individual users. However,
in domains such as tourism, people often consume items in
groups rather than individually. Different individual preferences
in such a group can be difficult to resolve, and often compromises
need to be made. Social choice strategies can be used to aggregate
the preferences of individuals. We evaluated two explainable
modified preference aggregation strategies in a between-subject
study (n=200), and compared them with two baseline strategies
for groups that are also explainable, in two scenarios: high divergence
(group members with different travel preferences) and low
divergence (group members with similar travel preferences). Generally,
all investigated aggregation strategies performed well in
terms of perceived individual and group satisfaction and perceived
fairness. The results also indicate that participants were sensitive to
a dictator-based strategy, which affected both their individual and
group satisfaction negatively (compared to the other strategies).
Original languageEnglish
Title of host publicationHypertext
Publication statusPublished - 2020

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