Literatur vom gleichen Autor/der gleichen Autor*in
plus bei Google Scholar

Bibliografische Daten exportieren
 

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

Titelangaben

Schneegass, Christina ; Sigethy, Sophia ; Eiband, Malin ; Buschek, Daniel:
Comparing Concepts for Embedding Second-Language Vocabulary Acquisition into Everyday Smartphone Interactions.
In: Mensch & Computer 2021 : Tagungsband. - New York : The Association for Computing Machinery , 2021 . - S. 11-20
ISBN 978-1-4503-8645-6
DOI: https://doi.org/10.1145/3473856.3473863

Angaben zu Projekten

Projekttitel:
Offizieller Projekttitel
Projekt-ID
AI Tools - Continuous Interaction with Computational Intelligence Tools
Ohne Angabe

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.

Weitere Angaben

Publikationsform: Aufsatz in einem Buch
Begutachteter Beitrag: Ja
Keywords: Mobile Language Learning; Embedded Interaction; Micro Interactions
Institutionen der Universität: Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik
Fakultäten
Fakultäten > Fakultät für Mathematik, Physik und Informatik
Titel an der UBT entstanden: Ja
Themengebiete aus DDC: 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik
Eingestellt am: 20 Sep 2021 08:53
Letzte Änderung: 20 Sep 2021 08:53
URI: https://eref.uni-bayreuth.de/id/eprint/67060