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dc.contributor.authorStarke, Alain Dominique
dc.contributor.authorSedkowska, Justyna
dc.contributor.authorChouhan, Mihir
dc.contributor.authorFerwerda, Bruce
dc.date.accessioned2023-01-02T08:35:09Z
dc.date.available2023-01-02T08:35:09Z
dc.date.created2022-11-07T20:00:34Z
dc.date.issued2022
dc.identifier.isbn978-1-4503-9278-5
dc.identifier.urihttps://hdl.handle.net/11250/3040189
dc.description.abstractRecommender systems are prone to triggering choice overload among users due to the typically large set sizes. Various applications have been developed that aim to overcome this through interface design, notably by so-called multi-list recommender systems. However, to what extent such user interface design actually reduces choice overload compared to single-list interfaces has yet to be examined. In a user study (𝑁 = 150), we compared three common user interfaces (UIs) in the context of recipe recommendation: a single-list UI, a grid UI and a multi-list UI. Whereas earlier studies found differences in choice difficulty and choice satisfaction across grid-based and multi-list recommender interfaces, we observed no such differences, as the explanations were possibly not sufficiently helpful. Instead, we found that grid-based UIs and multi-list UIs had a higher perceived ease of use than a single-list UI, which in turn reduced choice difficulty. The benefits of such interfaces, thus, may lie in the organization of the UI, at least in the recipe domain.en_US
dc.language.isoengen_US
dc.relation.ispartof9th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’22)
dc.relation.urihttps://ceur-ws.org/Vol-3222/paper1.pdf
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleExamining Choice Overload across Single-list and Multi-list User Interfacesen_US
dc.typeChapteren_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin2070247
dc.source.pagenumber3-17en_US
dc.relation.projectNorges forskningsråd: 309339en_US
dc.identifier.citationIn: IntRS’22: Joint Workshop on Interfaces and Human Decision Making for Recommender Systems.en_US


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