6,986 research outputs found
Affective Videogames and Modes of Affective Gaming: Assist Me, Challenge Me, Emote Me
In this paper we describe the fundamentals of affective gaming from a physiological point of view, covering some of the origins of the genre, how affective videogames operate and current conceptual and technological capabilities. We ground this overview of the ongoing research by taking an in-depth look at one of our own early biofeedback-based affective games. Based on our analysis of existing videogames and our own experience with affective videogames, we propose a new approach to game design based on several high-level design heuristics: assist me, challenge me and emote me (ACE), a series of gameplay "tweaks" made possible through affective videogames
Affective games:a multimodal classification system
Affective gaming is a relatively new field of research that exploits human emotions to influence gameplay for an enhanced player experience. Changes in playerâs psychology reflect on their behaviour and physiology, hence recognition of such variation is a core element in affective games. Complementary sources of affect offer more reliable recognition, especially in contexts where one modality is partial or unavailable. As a multimodal recognition system, affect-aware games are subject to the practical difficulties met by traditional trained classifiers. In addition, inherited game-related challenges in terms of data collection and performance arise while attempting to sustain an acceptable level of immersion. Most existing scenarios employ sensors that offer limited freedom of movement resulting in less realistic experiences. Recent advances now offer technology that allows players to communicate more freely and naturally with the game, and furthermore, control it without the use of input devices. However, the affective game industry is still in its infancy and definitely needs to catch up with the current life-like level of adaptation provided by graphics and animation
How to model and augment player satisfaction : a review
This is a review on approaches for modeling satisfaction perceived by users interacting with entertainment systems. Experimental studies with adult and children users of games (screen-based and physical-interactive) are outlined and the most promising approaches for augmenting player satisfaction while the game is played (i.e. in real-time) are discussed.peer-reviewe
Psychophysiology in games
Psychophysiology is the study of the relationship between psychology
and its physiological manifestations. That relationship is of particular importance
for both game design and ultimately gameplaying. Playersâ psychophysiology offers
a gateway towards a better understanding of playing behavior and experience.
That knowledge can, in turn, be beneficial for the player as it allows designers to
make better games for them; either explicitly by altering the game during play or
implicitly during the game design process. This chapter argues for the importance
of physiology for the investigation of player affect in games, reviews the current
state of the art in sensor technology and outlines the key phases for the application
of psychophysiology in games.The work is supported, in part, by the EU-funded FP7 ICT iLearnRWproject
(project no: 318803).peer-reviewe
Neuro-electronic technology in medicine and beyond
This dissertation looks at the technology and social issues involved with interfacing electronics directly to the human nervous system, in particular the methods for both reading and stimulating nerves. The development and use of cochlea implants is discussed, and is compared with recent developments in artificial vision. The final sections consider a future for non-medicinal applications of neuro-electronic technology. Social attitudes towards use for both medicinal and non-medicinal purposes are discussed, and the viability of use in the latter case assessed
Game AI revisited
More than a decade after the early research efforts on the
use of artificial intelligence (AI) in computer games and the
establishment of a new AI domain the term âgame AIâ needs
to be redefined. Traditionally, the tasks associated with
game AI revolved around non player character (NPC) behavior at different levels of control, varying from navigation
and pathfinding to decision making. Commercial-standard
games developed over the last 15 years and current game
productions, however, suggest that the traditional challenges
of game AI have been well addressed via the use of sophisticated AI approaches, not necessarily following or inspired
by advances in academic practices. The marginal penetration of traditional academic game AI methods in industrial
productions has been mainly due to the lack of constructive communication between academia and industry in the
early days of academic game AI, and the inability of academic game AI to propose methods that would significantly
advance existing development processes or provide scalable
solutions to real world problems. Recently, however, there
has been a shift of research focus as the current plethora
of AI uses in games is breaking the non-player character AI
tradition. A number of those alternative AI uses have already shown a significant potential for the design of better
games.
This paper presents four key game AI research areas that
are currently reshaping the research roadmap in the game
AI field and evidently put the game AI term under a new
perspective. These game AI flagship research areas include
the computational modeling of player experience, the procedural generation of content, the mining of player data on
massive-scale and the alternative AI research foci for enhancing NPC capabilities.peer-reviewe
Experience-driven procedural content generation (extended abstract)
Procedural content generation is an increasingly
important area of technology within modern human-computer
interaction with direct applications in digital games, the semantic
web, and interface, media and software design. The personalization
of experience via the modeling of the user, coupled with the
appropriate adjustment of the content according to user needs
and preferences are important steps towards effective and meaningful
content generation. This paper introduces a framework for
procedural content generation driven by computational models of
user experience we name Experience-Driven Procedural Content
Generation. While the framework is generic and applicable to
various subareas of human computer interaction, we employ
games as an indicative example of content-intensive software that
enables rich forms of interaction.The research was supported, in part, by the FP7 ICT projects
C2Learn (318480) and iLearnRW (318803).peer-reviewe
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