Validating gameplay activity inventory (GAIN) for modeling player profiles

Vahlo, Jukka; Smed, Jouni; Koponen, Aki

doi:10.1007/s11257-018-9212-y

Cited by 25 publications

(21 citation statements)

References 55 publications

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“…A cluster analysis was then used to identify different categories of gamer type. Importantly, given the emphasis on players and not just games, these methods allow researchers to derive gamer profiles, which can be used to determine how individuals interact with a given game, 76,82,100 a crucial factor in how video game play influences brain and cognition. This is particularly relevant in open-world games where players have numerous options for how they play the game.…”

Section: Going Forwardmentioning

confidence: 99%

A new look at the cognitive neuroscience of video game play

Dale

Joessel

Bavelier

et al. 2020

Annals of the New York Academy of Sciences

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A growing body of literature has investigated the effects of playing video games on brain function and behavior. One key takeaway from this literature has been that not all entertainment video games are created equal with respect to their effects on cognitive functioning. The majority of the research to date has contrasted the cognitive impact of playing first‐ or third‐person shooter games (together dubbed “action video games”) against the effects of playing other game types. Indeed, when the research began in the late 1990s, action video games placed a load upon the perceptual, attentional, and cognitive systems in a manner not seen in other video games. However, the video game industry has shifted dramatically over the intervening years. In particular, first‐ and third‐person shooter games are no longer unique in the extent to which they load upon cognitive abilities. Instead, a host of other game genres appear to place similar degrees of load upon these systems. This state of affairs calls for a paradigm shift in the way that the cognitive neuroscience field examines the impact of video game play on cognitive skills and their neural mediators—a shift that is only just now slowly occurring.

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Section: Going Forwardmentioning

confidence: 99%

A new look at the cognitive neuroscience of video game play

Dale

Joessel

Bavelier

et al. 2020

Annals of the New York Academy of Sciences

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“…To address the need to evaluate user types based on their interactions with game systems, there are various instruments to assess the motivation of an adult player when playing video games. For example, Gameplay Activity Inventory [21] where its latent factors are Aggression, Management, Exploration, Coordination, and Caretaking. Additionally, The Trojan Player Typology [22], where six types of player motivations are mentioned: socializer, completionist, competitor, escapist, story-driven, and smarty-pants.…”

Section: Type Of Players: How To Understand Human Behavior In Video Games?mentioning

confidence: 99%

Adaptation and Validation of the Scale of Types of Users in Gamification with the Spanish Adolescent Population

León

Camacho-Lazarraga²,

Guerrero-Puerta

et al. 2020

IJERPH

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The video game has been one of the phenomena with the greatest impact on the entire social fabric, and especially among young people. Therefore, it is essential to understand the interaction between the players and the video game itself. However, few instruments have been designed to assess the types of players in the adolescent population. Therefore, the purpose of this study was to validate the Gamification User Types Hexad Scale for the Spanish adolescent population. The sample of participants consisted of 1345 adolescents between the ages of 13 and 18. To evaluate the psychometric properties of the scale, a confirmatory factor analysis and a multi-group analysis of invariance by sex were performed. The results provide evidence of a valid and reliable six-factor instrument to measure the types of players in the Spanish adolescent population, regardless of their sex.

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“…Exploration (α = 0.88) covers activities such as developing characters and collecting rare items. Management (α = 0.88) assesses preference in activities such as construction and crafting (Vahlo et al 2018).…”

Section: Methodsmentioning

confidence: 99%

Two Overwatch Player Profiles

Vahlo

Karhulahti

2022

Modes of Esports Engagement in Overwatch

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We pursue Overwatch player profiles via a statistical cluster analysis of survey data from the UK (N = 1089) and the USA (N = 417). The profiles are based on the players’ activity, challenge, and experiential preferences as well as motivations. Our analytical process produces six esports player clusters, two of which with Overwatch. The first (OW1) plays mainly Overwatch and Fortnite on a console, and they enjoy diverse types of non-competitive play elements more than other esports players. The second cluster (OW2) plays mainly Overwatch and League of Legends on a PC, and despite appearing more “competitive”, they did not report more competitive preferences. We suggest that the alleged “casual” and “competitive” types might not be the best way to identify esports and Overwatch players.

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Validating gameplay activity inventory (GAIN) for modeling player profiles

Cited by 25 publications

References 55 publications

A new look at the cognitive neuroscience of video game play

A new look at the cognitive neuroscience of video game play

Adaptation and Validation of the Scale of Types of Users in Gamification with the Spanish Adolescent Population

Two Overwatch Player Profiles

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