Less is More: Towards Sustainability-Aware Persuasive Explanations in Recommender Systems

Thi Ngoc Trang Tran, Seda Polat Erdeniz, Alexander Felfernig, Sebastian Lubos, Merfat El Mansi, Viet-Man Le

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

Recommender systems play an important role in supporting the achievement of the United Nations sustainable development goals (SDGs). In recommender systems, explanations can support different goals, such as increasing a user’s trust in a recommendation, persuading a user to purchase specific items, or increasing the understanding of the reasons behind a recommendation. In this paper, we discuss the concept of "sustainability-aware persuasive explanations" which we regard as a major concept to support the achievement of the mentioned SDGs. Such explanations are orthogonal to most existing explanation approaches since they focus on a "less is more" principle, which per se is not included in existing e-commerce platforms. Based on a user study in three item domains, we analyze the potential impacts of sustainability-aware persuasive explanations. The study results are promising regarding user acceptance and the potential impacts of such explanations.
Original languageEnglish
Title of host publicationRecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems
PublisherAssociation of Computing Machinery
Pages1108 - 1112
Number of pages5
ISBN (Electronic)979-8-4007-0505-2
DOIs
Publication statusPublished - 8 Oct 2024
Event18th ACM Conference on Recommender Systems, RecSys 2024 - Bari, Italy
Duration: 14 Oct 202418 Oct 2024
https://recsys.acm.org/recsys24/

Conference

Conference18th ACM Conference on Recommender Systems, RecSys 2024
Abbreviated titleRecSys '24
Country/TerritoryItaly
CityBari
Period14/10/2418/10/24
Internet address

Keywords

  • Explanations
  • Recommender Systems
  • Sustainability

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Software
  • Control and Systems Engineering

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