Proceedings ArticleDOI
Designing players' emotional reaction models: A generic method towards adaptive affective gaming
Pedro Alves Nogueira,Ruben Aguiar,Rui Rodrigues,Eugénio Oliveira +3 more
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TLDR
A generalizable approach for building predictive models of players' affective reactions across games and genres, and that game developers can use these models to more easily and accurately tune game parameters, allowing improved gaming experiences.Abstract:
Current approaches to game design improvements rely on gameplay testing, an iterative process following the test, try and fix pattern, relying on target audience feedback via standard questionnaires. Besides being a very time consuming phase, it is also highly subjective. In this paper, we demonstrate a generalizable approach for building predictive models of players' affective reactions across games and genres. Our aim is two-fold: 1) That game developers can use these models to more easily and accurately tune game parameters, allowing improved gaming experiences, and 2) That these models can be used as the basis for parameterisable and adaptive affective gaming. This paper describes our preliminary results regarding a novel, physiological-based method for emotional player profiling, which consists on the following three phases: (i) monitoring players' emotional states and game events, (ii) identifying player's emotional reactions to game events and (iii) individual and cluster-based modelling of players emotional reactions.read more
Citations
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Proceedings ArticleDOI
Computational Models of Players' Physiological-Based Emotional Reactions: A Digital Games Case Study
TL;DR: A physiological approach for modelling players' emotional reactions, which relies on features extracted fromPlayers' emotional responses to game events, which were collected and extrapolated through their physiological data during actual game play sessions are described.
Journal ArticleDOI
Defining an Affective Algorithm for Purchasing Decisions in E-Commerce Environments
TL;DR: This paper presents an affective algorithm to support purchasing decisions in e-commerce environments and proposes the incorporation of the affective dimension as a central component within an integrated decision schema.
Book ChapterDOI
Evaluating ANN Efficiency in Recognizing EEG and Eye-Tracking Evoked Potentials in Visual-Game-Events
TL;DR: Recorded electroencephalogram and eye-tracking data were used to train and test an artificial neural network in order to evaluate how efficiently such a tool can help in establishing the correlation, and therefore differentiating among the different categories of events.
Dissertation
Affective Game Design: Creating Better Game Experiences based on Players' Affective Reaction Model
TL;DR: A generalizable approach for building predictive models ofPlayers’ affective reactions is presented, allowing a more precise tuning of game parameters in order to increase the players’ gaming experience.
References
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TL;DR: In this article, the authors apply self-determination theory (SDT) in investigating motivation for computer game play, and the effects of game play on well-being, and find that perceived in-game autonomy and competence are associated with game enjoyment, preferences, and changes in wellbeing pre-to-post-play.
Journal ArticleDOI
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Proceedings Article
Fundamental Components of the Gameplay Experience: Analysing Immersion
Laura Ermi,Frans Mäyrä +1 more
TL;DR: A heuristic gameplay experience model is presented that identifies some of the key components and processes that are relevant in the experience of gameplay, with a particular focus on immersion.
Journal ArticleDOI
A fuzzy physiological approach for continuously modeling emotion during interaction with play technologies
TL;DR: A novel method for continuously modeling emotion using physiological data is presented, providing a method for quantifying emotional states continuously during a play experience.
Journal ArticleDOI
Probabilistic assessment of user's emotions in educational games
TL;DR: The probabilistic model presented is to be used by decision theoretic pedagogical agents to generate interventions aimed at achieving the best tradeoff between a user's learning and engagement during the interaction with educational games.