• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.2
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• pp.651-659
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• 2017

Although the need for education on sexually-transmitted-infections (STIs) for adolescents has been increasing, a limited number of adolescents receive STI education. Importantly, the exposure of youth to an STI during their adolescence period can seriously affect their genital health. Smartphones are an innovative medium that can be used to change individual behaviors, especially useful when used to educate adolescents. Therefore, we developed a customized smartphone application for Korean adolescents. The application was based on Dick and Carey's instructional system design model. In this paper, we describe the process for development of the smartphone application, and the strategies we applied to attract adolescents to use the smartphone application. Six experts verified the educational content of the application. The application's easygoing words were chosen to help adolescents understand the topic. Strategies such as cartoon clips, secret chat rooms, buttons changing color from blue to grey, questions and answers, and a repeated-learning function were used to attract Korean adolescents to the application. The smartphone application developed in this study could be used in schools, youth centers, and hospital centers to improve STI knowledge, STI prevention, and STI coping skills.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.12
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• pp.224-231
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• 2013

Defining the concept of prominent audio content as the most informative audio content from the users' perspective within a given unstructured audio segment, we propose a simple but robust intensity-based attack/release pattern features to detect the prominent audio content. We also propose a web-based annotation procedure to retrieve users' subjective perception and annotated 18 hours of video clips across various genres, such as cartoon, movie, news, etc. The experiments with a linear classification method whose models are trained for speech, music, and sound effect demonstrate promising - but varying across the genres of programs - results (e.g., 86.7% weighted accuracy for speech-oriented talk shows and 49.3% weighted accuracy for {action movies}).