Affective gaming

Sykes, J. F.; Brown, Simon

doi:10.1145/765891.765957

Cited by 69 publications

(17 citation statements)

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“…In this case, researchers developed techniques that are not as straightforward as those reviewed in 3.1. Sykes and Brown [2] were able to determine the level of a game player's arousal only by the pressure they use when controlling the gamepad and pushing buttons. It was difficult to find out if this arousal state was positive or negative, though.…”

Section: Detection and Measure Of The Player's Affective Statementioning

confidence: 99%

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A taxonomy and state of the art revision on affective games

Lara-Cabrera

Camacho

2019

Future Generation Computer Systems

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Section: Detection and Measure Of The Player's Affective Statementioning

confidence: 99%

“…Affective gaming was originally conceived as the search of suitable methods for measuring the affective state of videogame players [2,3]. It began as the desire of translating the advances achieved in affective computing and, more precisely, in the human-computer interaction to videogames.…”

Section: Introductionmentioning

confidence: 99%

A taxonomy and state of the art revision on affective games

Lara-Cabrera

Camacho

2019

Future Generation Computer Systems

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“…This study focused on quantifying one feature of user experience which is satisfaction regarding the speed of hardware using an IS clientserver application. Using button press as player's arousal sign, Sykes and Brown [33] indicated that a player's state of arousal could be determined by the level of pressing buttons on a gamepad.…”

Section: Literature Reviewmentioning

confidence: 99%

Towards Quantifying Player's Involvement in 3D Games Based-on Player Types

Hanna

Richards

Hitchens

et al. 2014

Proceedings of the 2014 Conference on Interactive Entertainment

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With the varied use of games, the need to measure player's involvement has become prominent. Several studies aimed to quantify users' involvement. However, none of these studies presented a robust framework to measure the player's involvement in games nor considered player types as a factor. In this paper, a framework to quantify automatically the players' involvement in games is presented. This framework consists of three levels and each level includes criteria to evaluate three aspects of 3D games: (1) application level, (2) usage level, and (3) content level. Additionally, the framework's criteria considers player types proposed by Bartle. To validate the results of the framework, player involvement was estimated manually on a case-by-case basis by three experienced evaluators. The manual estimation was then compared with the automatically generated-quantified result produced by the framework. The comparison revealed a significant match.

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“…The gaming community has recently recognized the importance of emotion in the development of more engaging games [2,3], and the area of affective gaming is receiving increasing attention. The current focus of affective gaming research is on the sensing and recognition of the players' emotions, and tailoring the game responses to these emotions [4,5].…”

Section: Introductionmentioning

confidence: 99%

Affective game engines

Hudlická

2009

Proceedings of the 4th International Conference on Foundations of Digital Games

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The tremendous advances in gaming technologies over the past decade have focused primarily on the physical realism of the game environment and game characters, and the complexity and performance of game simulations and networking. However, current games are still lacking in the affective realism of the game characters, and the social complexity and realism of their interactions.To achieve the next leap in the level of engagement and effectiveness, particularly in the arena of serious games, gaming research needs to focus on enhancing the social and affective complexity and realism of the game characters, their interaction, and the game narrative as a whole. To achieve these goals, games and game development tools will need to provide functionality to support the recognition of user and game character emotions, real-time adaptation and appropriate responses to these emotions, and more realistic expression of emotions in game characters and user avatars. To support these functionalities, the games will need to construct affective models of the players, and include computational models of emotion within the game characters. In this paper, we discuss these functionalities, and suggest a set of requirements for an affective game engine, capable of supporting the development of more affectively realistic, engaging, and effective games. The discussion is organized around the functional requirements and the computational tasks necessary to support them. We emphasize the importance of selecting appropriate semantic primitives, and discuss how existing methods and techniques in affective computing and computational affective modeling contribute to the development of affective game engines and game development tools.

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Affective gaming

Cited by 69 publications

References 0 publications

A taxonomy and state of the art revision on affective games

A taxonomy and state of the art revision on affective games

Towards Quantifying Player's Involvement in 3D Games Based-on Player Types

Affective game engines

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