Exploring users' learning gains within search sessions

Conference Paper (2020)
Author(s)

Nirmal Roy (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Felipe Moraes (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Claudia Hauff (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group
Web Information Systems
DOI related publication
https://doi.org/10.1145/3343413.3378012 Final published version
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Publication Year
2020
Language
English
Research Group
Web Information Systems
Pages (from-to)
432-436
ISBN (electronic)
978-1-4503-6892-6
Event
5th ACM SIGIR Conference on Human Information Interaction and Retrieval, CHIIR 2020 (2020-03-14 - 2020-03-18), Vancouver, Canada
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182

Abstract

The area of search as learning is concerned with the optimization of search systems (that is, retrieval functions, user interface elements, etc.) for human learning - -this is in contrast to the currently dominant paradigm of optimizing the search experience by optimizing for relevance. While prior work typically considers learning as something that happens at some point during the search session, we are interested in when during the search session learning occurs. In order to answer this question, we here present the results of a user study ($N=64$) in which searchers were tasked with learning about a topic by searching the web for 20 minutes; they were prompted at regular intervals during the search session on their knowledge about the topic. We find that for study participants with little to no prior knowledge the learning gains are sublinear, while participants with some prior knowledge have the largest knowledge gains towards the end of the search session.