Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/100904
Title: Anti-smoking educational game using avatars as visualized possible selves
Authors: Song, Hayeon
Kim, Jihyun
Jung, Younbo
Kwon, Remi J.
Keywords: DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
DRNTU::Social sciences::Mass media::Alternative media
DRNTU::Social sciences::Communication::Promotional communication
DRNTU::Social sciences::Psychology::Applied psychology
Issue Date: 2013
Source: Song, H., Kim, J., Kwon, R. J., & Jung, Y. (2013). Anti-smoking game using avatars as visualized possible selves. Computers in human behavior, 29(5), 2029-2036.
Series/Report no.: Computers in human behavior
Abstract: 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) x 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.
URI: https://hdl.handle.net/10356/100904
http://hdl.handle.net/10220/18228
ISSN: 0747-5632
DOI: 10.1016/j.chb.2013.04.008
Rights: © 2013 Elsevier Ltd. This is the author created version of a work that has been peer reviewed and accepted for publication by Computers in Human Behavior, Elsevier Ltd. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [DOI:http://dx.doi.org/10.1016/j.chb.2013.04.008].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Journal Articles

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