Towards Personality-driven Persuasive Health Games and Gamified Systems

Orji, Rita; Nacke, Lennart E.; Marco, Chrysanne Di

doi:10.1145/3025453.3025577

Cited by 210 publications

(169 citation statements)

References 52 publications

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“…Jia et al [29] studied the relation between the ve-factor model (FFM) personality traits [15,25] and individual gami cation elements and found several signi cant correlations. Orji et al [52] studied the relation between the FFM personality traits and several persuasive strategies used in gami cation. ey noted that personalization is the most e ective strategy, which almost all the personalities perceived as positive.…”

Section: Personalized Gami Cationmentioning

confidence: 99%

“…e RS can also adapt the persuasive strategies used to communicate with the user [52]. For example, using Cialdini's strategies [13], if the system nds out the user is more susceptible to scarcity, it can suggest limited opportunities to complete a task; if the user seems more susceptible to authority, the system can show expert comments for each activity; and if the user is more susceptible to consensus, the system may show that a large quantity of people are already carrying out an activity.…”

Section: Game Elementsmentioning

confidence: 99%

“…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%

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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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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: Personalized Gami Cationmentioning

confidence: 99%

Section: Game Elementsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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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“…For some users, giving precise feedback on the activity performance can be motivating [1]. However for less competitive users, showing exact information can be demotivating [17,23]. Thus we suggest to consider two possible values: precise (e.g.…”

Section: Precision (How -Presentation?)mentioning

confidence: 99%

“…Specific domains such as education [2], or health [17] rely more especially on structural gamification (defined as the use of game elements that do not alter the content of the activity [8]). To be effective, the motivational affordances of such gamified systems (properties that allow users to satisfy their psychological needs [22]) should be designed with a deep understanding of human motivation [3,22].…”

Section: Introductionmentioning

confidence: 99%

A Design Space For Meaningful Structural Gamification

Hallifax

Serna

Marty

et al. 2018

Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems

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Gamification design is a complex process. Existing gameful design methods generally focus on high level motivational considerations. In order to provide designers with the tools to create meaningful and motivating game elements, we propose a design space that encapsulates lower-level design decisions, such as visual and operational aspects, during the design process. We also propose a set of design cards and a board that aim to support the design process for collaborative design sessions.

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Adaptive gamification in E‐learning: A literature review and future challenges

Bennani

Maalel

Ghezala

2021

Comp Applic In Engineering

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The trend of gamification in online education has grown as technological advancements allow for more digitized learning environments to create interactive and engaging learning experiences. Learners are motivated in various ways, which necessitates an understanding of gamification mechanics and dynamics that produce enjoyment to adapt them to a variety of factors such as personality, needs, values, and motivations of each learner. Furthermore, exploration and advancement in the field of artificial intelligence (AI) allow us to provide an intelligent adaptive gamification environment. The aim of this study is to review the existing literature on adaptive gamification in e‐learning, as well as to highlight the scoops and future challenges of adaptive gamification applications. The present research followed the literature review method. For the data collected in this study, we used a qualitative approach. This paper presents in the first part a literature review of studies and a synthesis of the literature on the application of adaptive gamification in online education. The second part deals with the use of AI with adaptive gamification in online education and proposes its different techniques and future adaptation.

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Towards Personality-driven Persuasive Health Games and Gamified Systems

Cited by 210 publications

References 52 publications

Recommender Systems for Personalized Gamification

Recommender Systems for Personalized Gamification

A Design Space For Meaningful Structural Gamification

Adaptive gamification in E‐learning: A literature review and future challenges

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