Development of AR Information System Based on Deep Learning and Gamification

Ogi, Tetsuro; Takesue, Yusuke; Lukosch, Stephan

doi:10.1007/978-3-319-98530-5_41

Cited by 4 publications

(1 citation statement)

References 9 publications

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“…An example of an application aimed at the area of Augmented Reality, regardless of its context, is described by Ogi et al It addresses the problem of the need for an AR marker or location information by replacing it with a machine-learning system fed with learning data automatically collected from the users with the help of gamification [27]. Map Safari is an example of an application in the area of Geographic Information Systems, which proposes a machine-learning-supported workflow making use of gamification to encourage volunteers to sustain the contribution of map data for humanitarian organizations without degrading their quality [28].…”

Section: Areas Of Applicationmentioning

confidence: 99%

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%

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

Swacha,

Gracel

2023

Applied Sciences

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Incorporating AR/VR-assisted learning into informal science institutions: A systematic review

2023

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Gamification Reloaded

Mazarakis

2021

I-Com

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Gamification can help to increase motivation for various activities. As a fundamental concept in HCI, gamification has connections with various fields involving mixed reality, health care, or education. This article presents the expertise of 106 gamification specialists who participated in four workshops called “Gam-R — Gamification Reloaded.” The extraction of current and future trends in gamification is the result of this. Four general topics, four in-depth topics, and seven emerging fields of application for gamification are depicted and enriched with the current state of research to support interested academic scholars and practitioners. Technical and less technical areas, which are the fields of work and research in gamification, are demonstrated. Some areas are already trending, while others are just beginning to show a future trend.

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Development of AR Information System Based on Deep Learning and Gamification

Cited by 4 publications

References 9 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

Incorporating AR/VR-assisted learning into informal science institutions: A systematic review

Gamification Reloaded

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