UnlockLearning – Investigating the Integration of Vocabulary Learning Tasks into the Smartphone Authentication Process

Q1 Social Sciences
i-com Pub Date : 2022-04-01 DOI:10.1515/icom-2021-0037
Christina Schneegass, Sophia Sigethy, Teodora Mitrevska, Malin Eiband, D. Buschek
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引用次数: 1

Abstract

Abstract Frequent repetition of vocabulary is essential for effective language learning. To increase exposure to learning content, this work explores the integration of vocabulary tasks into the smartphone authentication process. We present the design and initial user experience evaluation of twelve prototypes, which explored three learning tasks and four common authentication types. In a three-week within-subject field study, we compared the most promising concept as mobile language learning (MLL) applications to two baselines: 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.
解锁学习-研究智能手机认证过程中词汇学习任务的整合
频繁的词汇重复对于有效的语言学习至关重要。为了增加学习内容的曝光率,本研究探索了将词汇任务集成到智能手机认证过程中。我们展示了12个原型的设计和初始用户体验评估,其中探索了三种学习任务和四种常见的认证类型。在为期三周的主题领域研究中,我们将最有前途的概念作为移动语言学习(MLL)应用程序与两个基线进行了比较:我们设计了一个新颖的(1)UnlockApp,它在每个认证事件中呈现一个词汇任务,推动用户进行短时间的频繁学习。我们将其与(2)NotificationApp和(3)StandardApp进行比较,前者在状态栏的推送通知中显示词汇任务,这始终是可见的,但学习需要用户发起,而后者要求用户主动开始应用内学习。我们的研究首次直接比较了这些嵌入MLL的概念,表明通过UnlockApp和NotificationApp将词汇学习整合到日常智能手机交互中可以增加答案的数量。然而,用户表现出个人的主观偏好。基于我们的研究结果,我们讨论了高内容曝光和干扰之间的权衡,以及将学习无缝嵌入日常移动交互的相关挑战和机遇。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
i-com
i-com Social Sciences-Communication
CiteScore
3.80
自引率
0.00%
发文量
24
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