Abstract
As recommendation systems become increasingly prevalent in numerous fields, the need for clear and persuasive interactions with users is rising. Integrating explainability into these systems is emerging as an effective approach to enhance user trust and sociability. This research focuses on recommendation systems that utilize a range of explainability techniques to foster trust by providing understandable personalized explanations for the recommendations made. In line with this, we study three distinct explanation methods that correspond with three basic recommendation strategies and assess their efficacy through user experiments. The findings from the experiments indicate that the majority of participants value the suggested explanation styles and favor straightforward, concise explanations over comparative ones.
Original language | English |
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Title of host publication | Explainable and Transparent AI and Multi-Agent Systems - 6th International Workshop, EXTRAAMAS 2024, Revised Selected Papers |
Subtitle of host publication | Conference Proceedings |
Editors | Davide Calvaresi, Amro Najjar, Andrea Omicini, Rachele Carli, Giovanni Ciatto, Reyhan Aydogan, Joris Hulstijn, Kary Främling |
Place of Publication | Cham |
Publisher | Springer |
Pages | 21-38 |
Number of pages | 18 |
ISBN (Electronic) | 978-3-031-70074-3 |
ISBN (Print) | 978-3-031-70073-6 |
DOIs | |
Publication status | Published - 2024 |
Event | 6th International Workshop on EXplainable and TRAnsparent AI and Multi-Agent Systems, EXTRAAMAS 2024 - Auckland, New Zealand Duration: 6 May 2024 → 10 May 2024 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 14847 LNAI |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 6th International Workshop on EXplainable and TRAnsparent AI and Multi-Agent Systems, EXTRAAMAS 2024 |
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Country/Territory | New Zealand |
City | Auckland |
Period | 6/05/24 → 10/05/24 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Keywords
- Explainable Recommendations
- Explanation Strategies
- User Studies