Comparing Concepts for Embedding Second-Language Vocabulary Acquisition into Everyday Smartphone Interactions

Conference Paper (2021)
Author(s)

Christina Schneegass (LMU Munich)

Sophia Sigethy (LMU Munich)

Malin Eiband (LMU Munich)

Daniel Buschek (University of Bayreuth)

University
External organisation
DOI related publication
https://doi.org/10.1145/3473856.3473863 Final published version
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Publication Year
2021
Language
English
University
External organisation
Pages (from-to)
11-20
Publisher
ACM
ISBN (electronic)
9781450386456
Event
2021 Conference on Mensch und Computer, MuC 2021 - 2021 Conference on Humans and Computers, MuC 2021 (2021-09-05 - 2021-09-08), Virtual, Online, Germany
Page Views
232

Abstract

We present a three-week within-subject field study comparing three mobile language learning (MLL) applications with varying levels of integration into everyday smartphone interactions: We designed a novel (1) UnlockApp that presents a vocabulary task with each authentication event, nudging users towards short frequent learning session. We compare it with a (2) NotificationApp that displays vocabulary tasks in a push notification in the status bar, which is always visible but learning needs to be user-initiated, and a (3) StandardApp that requires users to start in-app learning actively. Our study is the first to directly compare these embedding concepts for MLL, showing that integrating vocabulary learning into everyday smartphone interactions via UnlockApp and NotificationApp increases the number of answers. However, users show individual subjective preferences. Based on our results, we discuss the trade-off between higher content exposure and disturbance, and the related challenges and opportunities of embedding learning seamlessly into everyday mobile interactions.