Generating Recommendations with Post-Hoc Explanations for Citizen Science

Daniel Ben Zaken, Avi Segal, Darlene Cavalier, Guy Shani, Kobi Gal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Citizen science projects promise to increase scientific productivity while also connecting science with the general public. They create scientific value for researchers and provide pedagogical and social benefits to volunteers. Given the astounding number of available citizen science projects, volunteers find it difficult to find the projects that best fit their interests. This difficulty can be alleviated by providing personalized project recommendations to users. This paper studies whether combining project recommendations with explanations improves users' contribution levels and satisfaction. We generate post-hoc explanations to users by learning from their past interactions as well as project content (e.g., location, topics). We provide an algorithm for clustering recommended projects to groups based on their predicted relevance to the user. We demonstrated the efficacy of our approach in offline studies as well as in an online study in SciStarter that included hundreds of users. The vast majority of users highly preferred receiving explanations about why projects were recommended to them, and receiving such explanations did not impede on the contribution levels of users, when compared to other users who received project recommendations without explanations. Our approach is now fully integrated in SciStarter.

Original languageEnglish (US)
Title of host publicationUMAP2022 - Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization
PublisherAssociation for Computing Machinery, Inc
Pages69-78
Number of pages10
ISBN (Electronic)9781450392075
DOIs
StatePublished - Apr 7 2022
Event30th ACM Conference on User Modeling, Adaptation and Personalization, UMAP2022 - Virtual, Online, Spain
Duration: Jul 4 2022Jul 7 2022

Publication series

NameUMAP2022 - Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization

Conference

Conference30th ACM Conference on User Modeling, Adaptation and Personalization, UMAP2022
Country/TerritorySpain
CityVirtual, Online
Period7/4/227/7/22

ASJC Scopus subject areas

  • Software

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