کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
350914 618459 2013 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Anti-smoking educational game using avatars as visualized possible selves
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Anti-smoking educational game using avatars as visualized possible selves
چکیده انگلیسی


• An anti-smoking educational game was created and evaluated.
• An avatar in the game could show future self affected by long years of smoking.
• An avatar with future face made significant changes in smoking related attitudes.
• Seeing one’s own face made insignificant changes in smoking related attitudes.
• In future condition, viewing one’s own face increased perceived risk.

Few social smokers envision themselves being affected by the negative consequences of smoking despite well-known facts that smoking causes serious illnesses and death. However, as smoking habits quickly develop, social smokers cannot be free from the negative consequences of smoking. In this study, we pose the following question: “Would showing social smokers’ possible future as a consequence of smoking help them alter their current smoking behaviors?” Thus, using the theoretical concept of possible selves, an anti-smoking educational game was created in which players could see changes to the appearance of their future selves as a consequence of smoking. We used a 2 (Future face: Showing vs. Not showing) × 2 (Self avatar: Self-avatar vs. Other-avatar) between-subjects design for the experiment. Results indicated that participants who viewed the future face, compared to who did not, reported more negative attitudes toward social smoking and greater intention to quit smoking. The main effect of the self avatar was insignificant; however, seeing the future face in the self-avatar condition led to an increase in perceived risks compared to other-avatar condition. The implications of using avatars as visualized possible selves in health promotion are discussed.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Human Behavior - Volume 29, Issue 5, September 2013, Pages 2029–2036
نویسندگان
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