کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6836237 1434610 2018 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Pokémon GO and physical activity among college students. A study using Ecological Momentary Assessment
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Pokémon GO and physical activity among college students. A study using Ecological Momentary Assessment
چکیده انگلیسی
The popularity of the augmented reality smartphone game, Pokémon GO, prompted multiple possibilities regarding its utilization as a mechanism to increase physical activity (PA) levels among young adults. A better comprehension of the gameplay characteristics may aid researchers and game developers in the implementation/design of interventions and games which provide the greatest chances at promoting health. A sample of 74 US college students were asked to complete a pre and post online survey and to install an Ecological Momentary Assessment (EMA) tool and a step counter on their smartphones. The EMA tool prompted a set of questions on playing behavior and PA three times per day (12pm, 7pm, 10pm) for seven days. Linear mixed effects regression models were used to address the relationship between gameplay characteristics (time of play, play context, playing environment, social play) and PA at each time of the day. Playing Pokémon GO was associated with higher PA when playing occurred during weekdays and during daytime and also among those who played while being active (i.e., walking). During weekends, this association was only found in the morning or late in the evening (after 7pm). Accumulating three or more active playing episodes per day was associated with an increase of 1526 daily steps. Pokémon GO has uneven effects on player's PA. However, under the right circumstances such as the time of day during which playing occurs, or where the playing takes place, Pokémon GO can become a useful tool for health promotion among young adults.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Human Behavior - Volume 81, April 2018, Pages 215-222
نویسندگان
, , ,