A personalized gamification method for increasing user engagement in social networks

Hajarian, Mohammad; Bastanfard, Azam; Mohammadzadeh, Javad; Khalilian, Madjid

doi:10.1007/s13278-019-0589-3

Cited by 35 publications

(26 citation statements)

References 33 publications

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“…Jurgelaitis, et al 2019), there are also cases of gamification that are presented towards the training of university teachers (Rutledge, et al 2018). Next, 34% of the documents analyzed are located in the section called "other learning environment" that addresses groups of employees (Dale, 2014), patients (Cechetti, et al 2019), users of a specific application or platform (Hajarian, 2019), and seniors (Kappen, 2019). While these studies combine the analysis of motivation with gamification, they are ordered for highly specific cases with segmented age groups that also analyzed the interest produced by the gamified experience, incorporating individual perceptions and learning processes.…”

Section: Resultsmentioning

confidence: 99%

Descriptive Study of Motivation in Gamification Experiences from Higher Education: Systematic Review of Scientific Literature

Torres-Toukoumidis¹,

Carrera²,

Balcázar³

et al. 2021

ujer

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Section: Resultsmentioning

confidence: 99%

Descriptive Study of Motivation in Gamification Experiences from Higher Education: Systematic Review of Scientific Literature

Torres-Toukoumidis¹,

Carrera²,

Balcázar³

et al. 2021

ujer

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“…In comparison to the previously mentioned approaches, our work is based on simulating a Salsa dance environment in VR with the focus on user experience and dance skills learning. Indeed, gamification is an interesting process of improving the engagement of user for learning system [19]. We aim at providing the most convincing level of Salsa simulation such that we induce performance improvements.…”

Section: Related Workmentioning

confidence: 99%

Salsa dance learning evaluation and motion analysis in gamified virtual reality environment

Senecal

Nijdam

Aristidou

et al. 2020

Multimed Tools Appl

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Learning couple dance such as salsa is challenging as it requires to understand and assimilate all the dance skills (guidance, rhythm, style) correctly. Salsa is traditionally learned by attending a dancing class with a teacher and practice with a partner, the difficulty to access such classes though, and the variability of dance environment can impact the learning process. Understanding how people learn using a virtual reality platform could bring interesting knowledge in motion analysis and can be the first step toward a complementary learning system at home. In this paper, we propose an interactive learning application in the form of a virtual reality game, that aims to help the user to improve its salsa dancing skills. The application was designed upon previous literature and expert discussion and has different components that simulate salsa dance: A virtual partner with interactive control to dance with, visual and haptic feedback, and a game mechanic with dance tasks. This application is tested on a two-class panel of 20 regular and 20 non-dancers, and their learning is evaluated and analyzed through the extraction of Musical Motion Features and the Laban Motion Analysis system. Both motion analysis frameworks were compared prior and after training and show a convergence of the profile of non-dancer toward the profile of regular dancers, which validates the learning process. The work presented here has profound implications for future studies of motion analysis, couple dance learning, and human-human interaction.

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“…In both cases, the advertisers may use Facebook marketing (Instagram is owned by Facebook) to identify the most appropriate subscribers to serve their ads (Camilleri, 2019). The social networks are a very suitable place for targeted advertising because they have access to a wide range of user information such as their demographical details, and other relevant information (Hajarian, Bastanfard, Mohammadzadeh & Khalilian, 2019a). However, online users may not always be interested in the marketers' social media messages.…”

Section: Social Network Marketingmentioning

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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A personalized gamification method for increasing user engagement in social networks

Cited by 35 publications

References 33 publications

Descriptive Study of Motivation in Gamification Experiences from Higher Education: Systematic Review of Scientific Literature

Descriptive Study of Motivation in Gamification Experiences from Higher Education: Systematic Review of Scientific Literature

Salsa dance learning evaluation and motion analysis in gamified virtual reality environment

A Taxonomy of Online Marketing Methods

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