Conversational interfaces for search as learning

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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.

Original languageEnglish
Title of host publicationCIKMW2020
Subtitle of host publicationProceeding of the CIKM 2020 Workshops
EditorsS. Conrad, I. Tiddi
PublisherCEUR
Number of pages4
Volume2699
Publication statusPublished - 2020
Event2020 International Conference on Information and Knowledge Management Workshops, CIKMW 2020 - Galway, Ireland
Duration: 19 Oct 202023 Oct 2020

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR-WS
ISSN (Print)1613-0073

Conference

Conference2020 International Conference on Information and Knowledge Management Workshops, CIKMW 2020
CountryIreland
CityGalway
Period19/10/2023/10/20

Keywords

  • Chatbot
  • Conversational interface
  • Learning
  • Search

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