Informing the Design of User-adaptive Mobile Language Learning Applications

Schneegass, Christina; Terzimehic, Nada; Nettah, Mariam and Schneegass, Stefan (2018): Informing the Design of User-adaptive Mobile Language Learning Applications. In: 17Th International Conference on Mobile and Ubiquitous Multimedia (Mum 2018): pp. 233-238

Abstract

Smartphones enable people to learn new languages whenever and wherever they want. This popularized mobile language learning apps (MLLAs) and in particular micro learning that offers simple and short learning units to keep the user on track. Due to the ubiquitous use of these applications, they have to adapt to the users' current situation to provide an optimal learning experience. To gain insights into how users perceive common usage scenarios, we conducted an online survey (N=74) and clustered all described learning scenarios into five categories of usage situations. We outlined internal and contextual factors which are characteristic for these situations and discussed those in a follow-up focus group with HCI experts (N=4). During this focus group, we collected four design recommendations to adapt MLLAs to situations of users' (a) high attention levels, (b) tiredness or exhaustion, (c) highly demanding environments, or (d) low motivation.

• Item Type: Journal article
• Faculties: Mathematics, Computer Science and Statistics > Computer Science
• Subjects: 000 Computer science, information and general works > 004 Data processing computer science
• Language: English