TY - GEN
T1 - Comparing Concepts for Embedding Second-Language Vocabulary Acquisition into Everyday Smartphone Interactions
AU - Schneegass, Christina
AU - Sigethy, Sophia
AU - Eiband, Malin
AU - Buschek, Daniel
PY - 2021/9/5
Y1 - 2021/9/5
N2 - 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.
AB - 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.
KW - Embedded Interaction
KW - Micro Interactions
KW - Mobile Language Learning
UR - http://www.scopus.com/inward/record.url?scp=85115125891&partnerID=8YFLogxK
U2 - 10.1145/3473856.3473863
DO - 10.1145/3473856.3473863
M3 - Conference contribution
AN - SCOPUS:85115125891
T3 - ACM International Conference Proceeding Series
SP - 11
EP - 20
BT - Tagungsband - Mensch und Computer 2021
A2 - Pfleging, Bastian
A2 - Kern, Dagmar
A2 - Schneegass, Stefan
PB - Association for Computing Machinery (ACM)
T2 - 2021 Conference on Mensch und Computer, MuC 2021 - 2021 Conference on Humans and Computers, MuC 2021
Y2 - 5 September 2021 through 8 September 2021
ER -