Personalised gaming

Bakkes, Sander; Tan, Chek Tien; Pisan, Yusuf

doi:10.1145/2336727.2336731

Cited by 73 publications

(31 citation statements)

References 71 publications

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“…A topic that has recently gained a ention is understanding how to personalize these gameful persuasive applications. Results have shown the higher value of personalized over generic approaches in user interface (UI) design [3,44], persuasive technologies [31,33], and games [5,14,50,53]. However, the study of personalized gami cation is still in its infancy and publications so far have been mostly theoretical, for example, focusing on identifying di erent personality traits or preferences for personalization [29,52,64].…”

Section: Introductionmentioning

confidence: 99%

Recommender Systems for Personalized Gamification

Tondello

Orji

Nacke

2017

Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization

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Gami cation has been used in a variety of application domains to promote behaviour change. Nevertheless, the mechanisms behind it are still not fully understood. Recent empirical results have shown that personalized approaches can potentially achieve be er results than generic approaches. However, we still lack a general framework for building personalized gameful applications. To address this gap, we present a novel general framework for personalized gameful applications using recommender systems (i.e., so ware tools and technologies to recommend suggestions to users that they might enjoy). is framework contributes to understanding and building e ective persuasive and gameful applications by describing the di erent building blocks of a recommender system (users, items, and transactions) in a personalized gami cation context.

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Section: Introductionmentioning

confidence: 99%

Recommender Systems for Personalized Gamification

Tondello

Orji

Nacke

2017

Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization

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“…Indeed, the perspective of AI researchers to increase the engagement and enjoyment of the player is one that is consistent with the perspective of game designers [2], i.e., personalisation methods are regarded as instrumental for achieving industry ambitions [6]. Tailoring the game experience to the individual player particularly benefits from the use of player models, and requires components that use these models to adapt part of the game [7].…”

Section: Game Personalisationmentioning

confidence: 99%

“…Our research follows the emerging trend of employing AI methods for adapting the game environment itself (as opposed to, more typically, adapting the behaviour of the game characters) [7]. In our investigation, we choose to focus on personalising the game space to the individual player with respect to experienced challenge 1 ; it can be considered an instantiation of experience-driven procedural content generation (EDPCG) [8].…”

Section: Game Personalisationmentioning

confidence: 99%

Challenge balancing for personalised game spaces

Bakkes

Whiteson

et al. 2014

2014 IEEE Games Media Entertainment

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Challenge Balancing for Personalised Game SpacesBakkes, S.C.J.; Whiteson, S.A.; Li, G.; Viniuc, G.V.; Charitos, E.; Heijne, N.; Swellengrebel, A. General rightsIt is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons). Disclaimer/Complaints regulationsIf you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: http://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible. Abstract-In this paper we propose an approach for personalising the space in which a game is played (i.e., levels) -to the end of tailoring the experienced challenge to the individual user during actual play of the game. Our approach specifically considers two design challenges, namely implicit user feedback and high risk of user abandonment. We contribute an approach that acknowledges that for effective online game personalisation, one needs to (1) offline learn a policy that is appropriate in expectation across users -to be used for initialising the online game, (2) offline learn a mapping from gameplay observations to the player experience -to be used for guiding the online game personalisation, and (3) rapidly converge to an appropriate policy for the individual user in online gameplay -employing the learned feedback model and a straightforward model of user abandonment. User studies that validate the approach to online game personalisation in the actual video game INFINITE MARIO BROS. indicate that it provides an effective basis for automatically balancing the game's challenge level to the individual human player.

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“…The effectiveness of personalized systems over "one-size-fits-all" approaches also applies to interactive systems in general. For example, the efficacy of personalization has been shown in personality-targeted user interface design [12], persuasive technology [8,9] and games [1,3,15]. Personalization has been investigated along several dimensions, such as personality [12], cognitive abilities [4], gender [16], persuadability (the susceptibility to persuasive strategies, [10]) as well as player types [15] and gamification user types [11].…”

Section: Introductionmentioning

confidence: 99%

Personalization in Serious and Persuasive Games and Gamified Interactions

Busch

Mattheiss

Orji

et al. 2015

Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play

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Serious and persuasive games and gamified interactions have become popular in the last years, especially in the realm of behavior change support systems. They have been used as tools to support and influence human behavior in a variety of fields, such as health, sustainability, education, and security. It has been shown that personalized serious and persuasive games and gamified interactions can increase effectivity of supporting behavior change compared to "one-size-fits all"-systems. However, how serious games and gamified interactions can be personalized, which factors can be used to personalize (e.g. personality, gender, persuadability, player types, gamification user types, states, contextual/situational variables), what effect personalization has (e.g. on player/user experience) and whether there is any return on investment is still largely unexplored. This full-day workshop aims at bringing together the academic and industrial community as well as the gaming and gamification community to jointly explore these topics and define a future roadmap.

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Personalised gaming

Cited by 73 publications

References 71 publications

Recommender Systems for Personalized Gamification

Recommender Systems for Personalized Gamification

Challenge balancing for personalised game spaces

Personalization in Serious and Persuasive Games and Gamified Interactions

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