Predictors of Playing Augmented Reality Mobile Games While Walking Based on the Theory of Planned Behavior: Web-Based Survey

被引:16
|
作者
Koh, Hyeseung Elizabeth [1 ,2 ]
Oh, Jeeyun [1 ,2 ]
Mackert, Michael [1 ,2 ,3 ,4 ]
机构
[1] Univ Texas Austin, Moody Coll Commun, Ctr Hlth Commun, Austin, TX USA
[2] Univ Texas Austin, Moody Coll Commun, Stan Richards Sch Advertising & Publ Relat, 300 West Dean Keeton,A1200,BMC 4-338, Austin, TX 78712 USA
[3] Univ Texas Austin, Dell Med Sch, Dept Populat Hlth, Austin, TX USA
[4] Univ Texas Hlth Sci Ctr Houston, Sch Publ Hlth, Houston, TX 77030 USA
来源
JMIR MHEALTH AND UHEALTH | 2017年 / 5卷 / 12期
关键词
mobile phone; pedestrians; safety on the street; psychological models; predictive value of tests; intention; age factors; attitude; social norms; self-efficacy; habits; immersion; self-report; POKEMON-GO; COLLEGE-STUDENTS; PHYSICAL-ACTIVITY; PHONE USE; INTENTION; PEDESTRIANS; EXTENSION; BLINDNESS; DRINKING; QUALITY;
D O I
10.2196/mhealth.8470
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: There has been a sharp increase in the number of pedestrians injured while using a mobile phone, but little research has been conducted to explain how and why people use mobile devices while walking. Therefore, we conducted a survey study to explicate the motivations of mobile phone use while walking Objective: The purpose of this study was to identify the critical predictors of behavioral intention to play a popular mobile game, Pokemon Go, while walking, based on the theory of planned behavior (TPB). In addition to the three components of TPB, automaticity, immersion, and enjoyment were added to the model. This study is a theory-based investigation that explores the underlying mechanisms of mobile phone use while walking focusing on a mobile game behavior. Methods: Participants were recruited from a university (study 1; N=262) and Amazon Mechanical Turk (MTurk) (study 2; N=197) in the United States. Participants completed a Web-based questionnaire, which included measures of attitude, subjective norms, perceived behavioral control (PBC), automaticity, immersion, and enjoyment. Participants also answered questions regarding demographic items. Results: Hierarchical regression analyses were conducted to examine hypotheses. The model we tested explained about 41% (study 1) and 63% (study 2) of people's intention to play Pokemon Go while walking. The following 3 TPB variables were significant predictors of intention to play Pokemon Go while walking in study 1 and study 2: attitude (P<.001), subjective norms (P<.001), and PBC (P=.007 in study 1; P<.001 in study 2). Automaticity tendency (P<.001), immersion (P=.02), and enjoyment (P=.04) were significant predictors in study 1, whereas enjoyment was the only significant predictor in study 2 (P=.01). Conclusions: Findings from this study demonstrated the utility of TPB in predicting a new behavioral domain-mobile use while walking. To sum up, younger users who are habitual, impulsive, and less immersed players are more likely to intend to play a mobile game while walking.
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页数:13
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