Using Virtual Reality in E-Cigarette and Secondhand Aerosol Prevention Messages: Implications for Emotional Campaign Design.

Cyberpsychology, behavior and social networking(2023)

引用 1|浏览3
暂无评分
摘要
Vaping has dramatically increased in recent years among young adults. To increase risk perceptions and promote preventive behaviors against vaping and secondhand e-cigarette aerosol (SHA), this study designed and tested virtual reality (VR) messages based on the theory of psychological distance. We randomly assigned 137 participants to see one of three messages: a VR message presenting SHAs impact on the self (VR-Self), a VR message showing SHAs impact on others (VR-Other), and a print advertisement. Risk perceptions and preventive intentions/behaviors were assessed at three different times: before, immediately after, and 1 week after the experimental treatment. All three messages increased desired intentions and risk perceptions immediately, reduced vaping interest both immediately and 1 week after message exposure, and increased behavior to persuade others to quit vaping after a week. Compared with the print advertisement, VR-Other generated less vaping interest immediately following message exposure (β = 1.40,  = 0.05). After 1 week, VR-Self (β = 1.62,  = 0.05) and VR-Other (β = 2.37,  = 0.01) generated less vaping interest than the print advertisement. VR-Other also generated a higher level of perceived harm of SHA (β = 1.27,  = 0.01) than the print advertisement. VRs advantage over print in reducing vaping interest was increased after 1 week. Although VR-Other generated less emotions, such as fear, than VR-Self ( = 2.48,  = 0.02) and print ( = -2.82,  = 0.02), its persuasiveness was not hindered. Disgust increased the intentions to persuade others to quit vaping immediately after the experimental treatment (β = 0.85,  = 0.02), and anger aroused by recalling the messages decreased vaping interest 1 week later (β = -2.07,  = 0.02).
更多
查看译文
关键词
campaign,e-cigarette,emotions,psychological distance,vaping,virtual reality
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要