Recommender Systems for Personalized Gamification

Tondello, Gustavo F.; Orji, Rita; Nacke, Lennart E.

doi:10.1145/3099023.3099114

Cited by 64 publications

(40 citation statements)

References 52 publications

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“…One of the approaches to improve the design of gameful systems is personalized (or adaptive) gamification, meaning the tailoring of the gameful design elements, the interaction mechanics, the tasks, or the game rules according to the preferences or skills of each user (Lessel et al, 2016;Böckle et al, 2017;Tondello et al, 2017b;Klock et al, 2018;Tondello, 2019). Recent advances in the study of personalized gamification include the development of personalized gameful design methods (see section 2.1), the development of user preferences models and taxonomies of game elements (see section 2.2), and the evaluation of the effects of personalized gameful systems (see section 2.3).…”

Section: Introductionmentioning

confidence: 99%

Validation of User Preferences and Effects of Personalized Gamification on Task Performance

Tondello

Nacke

2020

Front. Comput. Sci.

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Section: Introductionmentioning

confidence: 99%

Validation of User Preferences and Effects of Personalized Gamification on Task Performance

Tondello

Nacke

2020

Front. Comput. Sci.

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“…The results of this research will provide an actionable path for gamified learning designers to implement personalized gameful systems for cognitive awareness. Furthermore, the empirical evidence that will be collected as part of this research will represent a valuable model, which in the future could be used to implement recommendation algorithms for gameful systems in cognitive awareness (Tondello, Orji & Nacke, 2017). In this analysis of this study, it is elaborated that the mean value and the relationship between hexad player type and cognitive aspects can be used to evaluate the students' needs.…”

Section: Resultsmentioning

confidence: 99%

Adaption of the Gamification Hexad Player Types and Cognitive Awareness in an Engineering Student

Zakaria

Rosli

2019

HSSR

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Purpose: Cognitive awareness involves problem-solving skills to perform appropriate actions. Information observes from the environment will help users to interpret information and select the best solution to perform actions. On the other hand, in learning, the gamified learning approach is one of the alternatives to enhance learners’ cognitive awareness, where it requires learners to analyze information that they perceive from the gamified learning environment, analyze information into a meaningful decision and reflects of user’s actions. The ultimate goal of this study is to identify criteria for cognitive awareness using hexad characteristics, which will be further in designing gamified learning interface design. Methodology: In this study, sets of questionnaires were adapted from user hexad player type that consists of seventy questions will be distributed to 400 respondents. In this phase quantitative data is obtained through the questionnaire form provided. Targeted respondents were among engineering students in the Universiti of Tun Hussien Onn Malaysia. In this study, the researcher may choose respondents using purposive sampling from engineering students by giving through a class representative. The researcher also distributes this questionnaire to faculty and library. This study used 5-point Likert scales, with the range from one, "very disagree" and the scale of five represents a "very agreeable" statement. Main findings: Findings showed a positive effect over players' characteristics in gamified learning used in cognitive awareness in hexad characteristic user comprises consumer, exploiter, self-seeker, socializer, philanthropist, free spirit, achiever and networker. Applications: From this study, it will have a positive effect on student cognitive awareness as well as improving student achievement in using new methods. In conclusion, gamified learning approach help to enhance the students’ understanding of learning and eventually will help the students to make a better decision in their learning process. Furthermore, knowing the characteristics of users in gamified learning will help the interface designer to design and interface or requirements that meet the needs of learners. Novelty/Originality of this study: It is hoped that this study will contribute learners and their learning process through a gamified learning approach and at the same time to enhance their cognitive awareness while dealing with problems or issues that may arise around them.

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“…Notwithstanding, many online marketers are increasingly using gamification to engage with online users (Hajarian, Bastanfard, Mohammadzadeh & Khalilian, 2019b). Very often, the online games are being used in conjunction with other digital media including social media networks (Tondello, Orji & Nacke, 2017). The social media subscribers may be intrigued to receive rewards and incentives for watching an advertisement and/or to click on display ads.…”

Section: Online Marketing Strategiesmentioning

confidence: 99%

A Taxonomy of Online Marketing Methods

Camilleri

2020

SSRN Journal

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This chapter presents a systematic review of over thirty (30) types of online marketing methods. It describes different methods like email marketing, social network marketing, in-game marketing and augmented reality marketing, among other approaches. The researchers discuss that the rationale for using these online marketing strategies is to increase brand awareness, customer centric marketing and consumer loyalty. They shed light on various personalization methods including recommendation systems and user generated content in their taxonomy of online marketing terms. Hence, they explain how these online marketing methods are related to each other. The researchers contend that the boundaries between online marketing methods have not been clarified enough within the academic literature. Therefore, this chapter provides a better understanding of different online marketing methods. A review of the literature suggests that the 'oldest' online marketing methods including the email and the websites are still very relevant for today's corporate communication. In conclusion, the researchers put forward their recommendations for future research about contemporary online marketing methods.

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Recommender Systems for Personalized Gamification

Cited by 64 publications

References 52 publications

Validation of User Preferences and Effects of Personalized Gamification on Task Performance

Validation of User Preferences and Effects of Personalized Gamification on Task Performance

Adaption of the Gamification Hexad Player Types and Cognitive Awareness in an Engineering Student

A Taxonomy of Online Marketing Methods

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