Print Email Facebook Twitter Conversational interfaces for search as learning Title Conversational interfaces for search as learning Author Qiu, S. (TU Delft Web Information Systems) Bozzon, A. (TU Delft Web Information Systems; TU Delft Human-Centred Artificial Intelligence) Gadiraju, Ujwal (TU Delft Web Information Systems) Contributor Conrad, S. (editor) Tiddi, I. (editor) Date 2020 Abstract Searching the web to learn new things or gain knowledge has become a common activity. Recent advances in conversational user interfaces have led to a new research opportunity - that of analyzing the potential of conversational interfaces in improving the effectiveness of search as learning (SAL). Addressing this knowledge gap, in this position paper we present conversational interfaces to support search as learning and novel methods to measure user performance and learning. Our experimental results reveal that conversational interfaces can improve user engagement, augment user long-term memorability, and alleviate user cognitive load. These findings have important implications on designing effective SAL systems. Subject ChatbotConversational interfaceLearningSearch To reference this document use: http://resolver.tudelft.nl/uuid:ba37232e-1516-4fdb-bf16-8b3f9734e2b7 Publisher CEUR-WS Source CIKMW2020: Proceeding of the CIKM 2020 Workshops, 2699 Event 2020 International Conference on Information and Knowledge Management Workshops, CIKMW 2020, 2020-10-19 → 2020-10-23, Galway, Ireland Series CEUR Workshop Proceedings, 1613-0073 Part of collection Institutional Repository Document type conference paper Rights © 2020 S. Qiu, A. Bozzon, Ujwal Gadiraju Files PDF paper23.pdf 973.83 KB Close viewer /islandora/object/uuid:ba37232e-1516-4fdb-bf16-8b3f9734e2b7/datastream/OBJ/view