Print Email Facebook Twitter Towards Memorable Information Retrieval Title Towards Memorable Information Retrieval Author Qiu, S. (TU Delft Web Information Systems) Gadiraju, Ujwal (TU Delft Web Information Systems) Bozzon, A. (TU Delft Human-Centred Artificial Intelligence; TU Delft Web Information Systems) Date 2020 Abstract Information overload is a problem many of us can relate to nowadays. The deluge of user generated content on the Internet, and the easy accessibility to a vast amount of data compounds the problem of remembering and retaining information that is consumed. To make information consumed more memorable, strategies such as note-taking have been found to be effective by augmenting human memory under specific conditions. This is based on the rationale that humans tend to recall information better if they have produced the information themselves. Previous works in online education have shown that conversational systems can improve learning effects. Although memorization is an important part of learning, the effect of conversation on human memorability remains unexplored. We aim to address this knowledge gap through an experimental study, by investigating human memorability in a classical information retrieval setup. We explore the impact of note-taking affordances and conversational interfaces on the memorability of information consumed by users. Our results show that traditional web search and note-taking have positive effects on knowledge gain, while the search engine with a conversational interface has the potential to augment long-term memorability. This work highlights the benefits of using note-taking and conversational interfaces to aid human memorability. Our findings have important implications on building information retrieval systems that cater to optimizing memorability of information consumed. Subject conversational interfaceinformation retrievalmemorabilitynote-takingweb search To reference this document use: http://resolver.tudelft.nl/uuid:5f47e153-d2d5-4cac-86d6-06c9dbb99fbb DOI https://doi.org/10.1145/3409256.3409830 Embargo date 2021-11-08 Page numbers 69–76 Event In Proceedings of the 2020 ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR ’20), 2020-09-14 → 2020-09-17 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-care Otherwise 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. Part of collection Institutional Repository Document type conference paper Rights © 2020 S. Qiu, Ujwal Gadiraju, A. Bozzon Files PDF 3409256.3409830.pdf 1.59 MB Close viewer /islandora/object/uuid:5f47e153-d2d5-4cac-86d6-06c9dbb99fbb/datastream/OBJ/view