Artificial Intelligence Gamified AAL Solution

Pinto, Marta; Pereira, Mário R.; Raposo, Diana; Simões, Marco

doi:10.1007/978-3-030-31635-8_119

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…Another example of an application targeted at healthcare worthy of mention is GameAAL, a system for monitoring the elderly daily life activities and providing neurocognitive stimulation games, promoting social interaction and mobility of its end-users using gamification and machine learning techniques [5].…”

Section: Areas Of Applicationmentioning

confidence: 99%

“…Already in 2015, Jordan and Mitchell have indicated that ML algorithms can be used to create personalized experiences for individuals and groups of individuals [3], whereas three years later, Hsu and Chen explored how gamification improves the user experience [4]. Applications combining machine learning and gamification thus exploit both these ways for boosting the UX improvement (see, e.g., [5]).…”

Section: Introductionmentioning

confidence: 99%

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Machine Learning in Gamification and Gamification in Machine Learning: A Systematic Literature Mapping

Swacha,

Gracel

2023

Applied Sciences

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Albeit in different ways, both machine learning and gamification have transfigured the user experience of information systems. Although both are hot research topics, so far, little attention has been paid to how these two technologies converge with each other. This relation is not obvious as while it is feasible to enhance gamification with machine learning, it is also feasible to support machine learning with gamification; moreover, there are applications in which machine learning and gamification are combined yet not directly connected. In this study, we aim to shed light on the use of both machine learning in gamification and gamification in machine learning, as well as the related topics of using gamification in machine learning education and machine learning in gamification research. By performing a systematic literature mapping, we not only identify prior works addressing these respective themes, but also analyze how their popularity evolved in time, investigate the areas of application reported by prior works, used machine learning techniques and software tools, as well as the character of research contribution and the character of evaluation results for works that presented them.

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Section: Areas Of Applicationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Machine Learning in Gamification and Gamification in Machine Learning: A Systematic Literature Mapping

Swacha,

Gracel

2023

Applied Sciences

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A Systematic Mapping Study: How Can UX Design Be Adapted to Improve the Design of Meaningful Gamified Solutions?

Azouz

Karioh

Lefdaoui

2021

Int. J. Innovation Technol. Management

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A meaningful gamified solution design is not limited to the use of points and rewards, but rather focuses on the intrinsic motivations for a more engaging user experience. Furthermore, the implementation of this concept is subject to difficulties given the lack of unified, effective, and efficient tools that are integrated into a process that covers the life cycle of a product or a service. Indeed, the existing gamification frameworks are limited to guidelines and recommendations that set up game elements for specific needs and contexts. However, the methods and the best practices that can lead to a meaningful gamified solution still cannot be concluded. Moreover, the user experience is currently a fundamental concept that has changed the focus on the processes of a generation of products and services; putting the user at the center of the design process. The main objective of this paper is to study the relevance of adapting or adopting UX design elements to improve the design of gamified products. To this end, a systematic mapping of the literature was carried out with a selection of 77 articles published between 2010 and March 2021. The results obtained enabled the identification of the adaptation or adoption proposals related to the following three levels: (1) UX design process and framework, (2) UX design process phases, in particular the phase of understanding the user need and usability testing, and (3) user’s research tools such as the persona, the journey map, and the questionnaire. The adaptation of these design elements was not systematic and depended on the context of the study.

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The Age-Reward Perspective: A Systematic Review of Reward Mechanisms in Serious Games for Older People

Bilius,

Schipor,

Vatavu

2024

ACM International Conference on Interactive Media Experiences

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Artificial Intelligence Gamified AAL Solution

Cited by 3 publications

References 6 publications

Machine Learning in Gamification and Gamification in Machine Learning: A Systematic Literature Mapping

Machine Learning in Gamification and Gamification in Machine Learning: A Systematic Literature Mapping

A Systematic Mapping Study: How Can UX Design Be Adapted to Improve the Design of Meaningful Gamified Solutions?

The Age-Reward Perspective: A Systematic Review of Reward Mechanisms in Serious Games for Older People

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