Exploring player behavior and motivations to continue playing Pokémon GO

Ghazali, Ezlika M.; Mutum, Dilip S.; Woon, Mei-Yuen

doi:10.1108/itp-07-2017-0216

Cited by 84 publications

(103 citation statements)

References 80 publications

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“…In gaming research, the term has been used synonymously with task continuance (Huang et al, 2017;Liao et al, 2016), continued intention to use (M.-C. Lee & Tsai, 2010), sustained use (Wohn, 2013), and loyalty (Choi & Kim, 2004;Teng & Chen, 2014). Prior research has typically focused on modeling the factors that keep people playing an online game (Chang et al, 2014;Ghazali et al, 2018;Li et al, 2015;Liang & Yeh, 2011;Nguyen, 2015) or hinder continuance intention (Liao et al, 2016). Findings suggested that higher satisfaction (Anderson & Srinivasan, 2003;Bhattacherjee, 2001), perceived enjoyment (Davis et al, 1992;M.-C. Lee & Tsai, 2010;Merikivi et al, 2017;Nguyen, 2015;Wu et al, 2010), disconfirmation of expectations (Liao et al, 2016), and social connection (Ryan et al, 2006;Teng & Chen, 2014;Wu et al, 2010) are common drivers of continuance intention.…”

Section: Continuance Intentionmentioning

confidence: 99%

Developing a Model of Video Game Play: Motivations, Satisfactions, and Continuance Intentions

Patzer

Chaparro

Keebler

2020

Simulation & Gaming

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Background. As video game usage continues to rise, it is important to understand why people choose and continue playing a game. Purpose. This research presents a theoretical framework to explore the relationships between gameplay motivations, satisfaction, continuance intention and gameplay. Methods. To examine these relationships, survey data was collected from 353 participants who played different types of online games, including League of Legends, World of Warcraft, Overwatch, and Hearthstone, for at least 10 hours in the past three months. A series of structural equation models were tested to identify the model with the best validity and fit. All constructs were from previously validated measures. Motivations were measured by the Trojan Player Typology, which assessed story-driven, completionist, competitor, escapist, smarty-pants, and socializer motives. Satisfaction was measured using the game user experience satisfaction scale (GUESS), which assessed satisfaction with usability/playability, narratives, play engrossment, enjoyment, creative freedom, audio aesthetic, personal gratification, social connectivity, and visual aesthetics. Continuance intention was measured using a 4-item scale. Results. The final model suggested that motivations were positively related to satisfaction, while satisfaction was positively related to continuance intention and weekly play time. Motivations accounted for 20% of the variance in satisfaction, and the story-driven motivation was the strongest predictor. Further, satisfaction accounted for 47% of the variance in continuance intention and 8% of the variance in weekly play time. Conclusion. Individual differences in gameplay motivation are an important component of a player’s satisfaction. Further, satisfaction appears to be central to a player’s intention to continue using a game.

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Section: Continuance Intentionmentioning

confidence: 99%

Developing a Model of Video Game Play: Motivations, Satisfactions, and Continuance Intentions

Patzer

Chaparro

Keebler

2020

Simulation & Gaming

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“…The gaming industry has recently been transformed by introducing innovative technologies (Ghazali et al, 2019). Consequently, the revenues from online gaming have increased tremendously (Teng, 2017), and it is predicted that this industry will develop into a multibillion dollar international industry (Werder et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Let's play: Me and my AI‐powered avatar as one team

Butt

Ahmad

Goraya

et al. 2021

Psychology and Marketing

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Artificial intelligence (AI) tools have altered the gaming industry, thanks to their newly incepted functionalities, which have enhanced the consumer experience. Building on innovation diffusion theory, technology acceptance model, and flow theory, this study highlights an AI‐powered avatar concept. This study explores the roles of perceived easiness, usefulness, advantage, compatibility, enjoyment, customization, and interactivity in forming the gamers' intention to play with AI‐powered avatars. A survey data of 500 respondents from China having experience playing online video games is used to test the proposed hypotheses. The results offer significant support to the proposed relationships related to adopting an AI‐powered avatar and the consumers' psychological association with its adoption. Consequently, the results imply that AI‐powered avatars should allow gamers to customize, interact, and take assistance to move up levels with an enjoyable experience. Moreover, this study also suggests that digital technologies such as AI could be integrated into the gaming environment for a more pleasing and immersive experience.

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“…In a general way, online games are one type of hedonic ICT [23,53,[56][57][58][59]. Users can alleviate boredom by playing games linked with mobile phones [60].…”

Section: Research Modelmentioning

confidence: 99%

Uses and Gratifications on Augmented Reality Games: An Examination of Pokémon Go

2020

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Users are attracted by augmented reality games to fulfil their needs. Two objectives are proposed: (1) to research the motivations of those using augmented reality mobile games; (2) to define a structural model based on Uses and Gratifications Theory for the adoption of augmented reality mobile games. The present study examines the case of Pokémon Go. The model is composed of eight constructs: enjoyment, fantasy, escapism, social interaction, social presence, achievement, self-presentation and continuance intention. The SEM model was empirically assessed based on 1183 responses from Pokémon Go users around the world. Results clearly confirmed the positive influence of almost all the proposed constructs on continuance intention for Pokémon Go. First, these findings may be helpful for the online gaming industry in identifying the game functions that retain more gamers and improve the user experience. Second, the online gaming industry might use these results in order to classify those players with behaviours that favour the use of online games.

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Exploring player behavior and motivations to continue playing Pokémon GO

Cited by 84 publications

References 80 publications

Developing a Model of Video Game Play: Motivations, Satisfactions, and Continuance Intentions

Developing a Model of Video Game Play: Motivations, Satisfactions, and Continuance Intentions

Let's play: Me and my AI‐powered avatar as one team

Uses and Gratifications on Augmented Reality Games: An Examination of Pokémon Go

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