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Physical Education (PE) is beneficial for students’ mental and physical health, however, teenagers are increasingly becoming less motivated to actively participate in the current form of PE. Motivational studies show that collective physical activity augmented by playful interactions could encourage more participation and social engagement in physical activities (PA). In this paper, we present a within-subject field study with 20 teenagers formed into five groups sized equally. The study is conducted using Shuttlezap, a prototype that provides realtime playful audio augmentation to the process of the activity. Results show that the teenagers enjoyed playful audio augmentation and were socially engaged with an enhancement of their perception of competence. By further comparing the conditions between with and without the audio augmentation, we found that the playful audio augmentation positively contributed to the playfulness in terms of perceived relaxation and expression. We conclude with design implications for social play in the context of PE for teenagers.
In this study, we compared the impact of audio-, video-, and text-chat interaction on target language use during online learner-learner interaction and on learner affect amongst adolescent learners of German as a foreign language. Repeated measures and ANOVA analyses revealed a high percentage of target language output in all conditions for all four tasks, especially in text- chat. Audio-chatters produced the most output and used the most meaning negotiation, compensation strategies, self-repair and other-repair strategies. Learners in all conditions gained in enjoyment, willingness to communicate and self-efficacy. Anxiety reduced for text-chatters. Task effects partly determined the quantity of L2 output, while condition effects determined meaning-oriented and form-focused processing.
MULTIFILE
Electromagnetic articulography (EMA) is one of the instrumental phonetic research methods used for recording and assessing articulatory movements. Usually, articulographic data are analysed together with standard audio recordings. This paper, however, demonstrates how coupling the articulograph with devices providing other types of information may be used in more advanced speech research. A novel measurement system is presented that consists of the AG 500 electromagnetic articulograph, a 16-channel microphone array with a dedicated audio recorder and a video module consisting of 3 high-speed cameras. It is argued that synchronization of all these devices allows for comparative analyses of results obtained with the three components. To complement the description of the system, the article presents innovative data analysis techniques developed by the authors as well as preliminary results of the system’s accuracy.