Landlords of the Digital World: How Territoriality and Social Identity Predict Playing Intensity in Location-based Games

Popular location-based games (LBGs) such as Pokémon GO have been downloaded hundreds of millions times and shown to a positive impact on mild exercise social well-being their players. Several currently popular LBGs introduce gamified implementation territorial conflict, where players are divided into teams that battle for the ownership geographically distributed points interest. We investigate how factors territoriality influence playing intensity in context GO. Using reasoning from identity theory, we propose structural model connecting territoriality, sociality intensity. To test model, analyze data collected global sample (N=515). Our results show self-efficacy, self-efficacy altruism players' identification with team. Team turn predicts both in-game control behavior