dc.contributor.author | Castiglia, Giovanni | |
dc.contributor.author | el Majjodi, Ayoub | |
dc.contributor.author | Starke, Alain Dominique | |
dc.contributor.author | Narducci, Fedelucio | |
dc.contributor.author | Deldjoo, Yashar | |
dc.contributor.author | Calò, Federica | |
dc.date.accessioned | 2023-01-02T07:53:22Z | |
dc.date.available | 2023-01-02T07:53:22Z | |
dc.date.created | 2022-11-23T10:18:55Z | |
dc.date.issued | 2022 | |
dc.identifier.isbn | 978-1-4503-9278-5 | |
dc.identifier.uri | https://hdl.handle.net/11250/3040178 | |
dc.description.abstract | Humans engage with other humans and their surroundings through various modalities, most notably speech, sight, and touch. In a conversation, all these inputs provide an overview of how another person is feeling. When translating these modalities to a digital context, most of them are unfortunately lost. The majority of existing conversational recommender systems (CRSs) rely solely on natural language or basic click-based interactions. This work is one of the first studies to examine the influence of multi-modal interactions in a conversational food recommender system. In particular, we examined the effect of three distinct interaction modalities: pure textual, multi-modal (text plus visuals), and multi-modal supplemented with nutritional labeling. We conducted a user study (𝑁=195) to evaluate the three interaction modalities in terms of how effectively they supported users in selecting healthier foods. Structural equation modelling revealed that users engaged more extensively with the multi-modal system that was annotated with labels, compared to the system with a single modality, and in turn evaluated it as more effective. | en_US |
dc.language.iso | eng | en_US |
dc.relation.ispartof | Fourth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS) | |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.subject | Helseinformatikk | en_US |
dc.subject | Health informatics | en_US |
dc.title | Nudging Towards Health in a Conversational Food Recommender System Using Multi-Modal Interactions and Nutrition Labels | en_US |
dc.type | Chapter | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | Copyright 2022 The Author(s) | en_US |
cristin.ispublished | true | |
cristin.fulltext | preprint | |
cristin.qualitycode | 1 | |
dc.identifier.cristin | 2078952 | |
dc.subject.nsi | VDP::Datateknologi: 551 | en_US |
dc.subject.nsi | VDP::Computer technology: 551 | en_US |
dc.identifier.citation | In: 4th Edition of Knowledge-aware and Conversational Recommender Systems (KaRS) Workshop @ RecSys 2022 | en_US |