Modeling the efficacy of persuasive strategies for different gamer types in serious games for health

Orji, Rita; Vassileva, Julita; Mandryk, Regan L.

doi:10.1007/s11257-014-9149-8

Cited by 263 publications

(197 citation statements)

References 72 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

Self Cite

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“…To demonstrate the applicability of our approach, we developed an ontological personalized gamification model in Section 5. This model was based on the mapping of PSs and game features proposed by Orji et al in [22]. And we believe that the results of this work are the first steps in order to create new semantic web authoring tools that will provide assistance and recommendation to gamify CL scenarios, making them more motivating and engaging to the learners.…”

Section: Conclusion An Future Researchmentioning

confidence: 90%

An Ontology Framework to Apply Gamification in CSCL Scenarios as Persuasive Technology

Challco

Mizoguchi

Isotani

2016

RBIE

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“…Two strategies commonly employed in persuasive technologies are personalization [57,58]-which is system-initiated tailoring that offers content or services personalized to an individual; and customization [57,59] which is a system that supports user-initiated tailoring of content or services. Sundar et al [60] argue that although personalization will increase the relevance of content for individuals using an interactive system, customization yields systems and content that are not only relevant, but also boost the agency and self-determination of the individual because it is they themselves who perform the tailoring.…”

Section: Designing For Engagementmentioning

confidence: 99%

Improving the Efficacy of Cognitive Training for Digital Mental Health Interventions Through Avatar Customization: Crowdsourced Quasi-Experimental Study (Preprint)

Birk¹,

Mandryk²

2018

Preprint

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Background: The success of Internet-based mental health interventions in practice -i.e., in-the-wild -depends on the uptake and retention of the application and the user's focused attention in the moment of use. Incorporating game-based motivational design into digital interventions delivered in-the-wild has been shown to increase uptake and retention in Internet-based training; however, there are outstanding questions about the potential of game-based motivational strategies to increase engagement with a task in the moment of use, and -as a result -improve intervention efficacy without accompanying increases in treatment exposure. Objective: Designers of Internet-based interventions need to know whether game-based motivational design strategies can increase in-the-moment engagement and thus improve intervention efficacy. We investigate the effects of one motivational design strategy (avatar customization) in an example mental health intervention (computerized cognitive training for attention bias modification). Methods: We assigned 317 participants to either a customized avatar or an assigned avatar condition. After measuring state-anxiety (STAI), we randomly assigned half of the participants in each condition to either an attentional retraining condition (ABMT) or a control condition. After training, participants were exposed to a Negative Mood Induction using images with strong negative valance (IAPS), after which we measured state-anxiety again. Results: Avatar customization improved treatment efficacy, evidenced as decreased posttraining state-anxiety when controlling for baseline state-anxiety, for those who trained attention bias modification; however, those who did not train experienced decreased resilience to the negative mood induction (F 1,252 =6.86, P=.009, η p

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Modeling the efficacy of persuasive strategies for different gamer types in serious games for health

Cited by 263 publications

References 72 publications

Recommender Systems for Personalized Gamification

Recommender Systems for Personalized Gamification

An Ontology Framework to Apply Gamification in CSCL Scenarios as Persuasive Technology

Improving the Efficacy of Cognitive Training for Digital Mental Health Interventions Through Avatar Customization: Crowdsourced Quasi-Experimental Study (Preprint)

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