Using virtual worlds for behaviour clustering-based analysis

González-Pardo, Antonio; Ortiz, Francisco de Borja Rodríguez; Pulido, Estrella; Camacho, David

doi:10.1145/1878083.1878088

Cited by 6 publications

(4 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The growth of this industry has made it as popular as the cinema or music industry. Some speci¯c video games, such as the ones based on Virtual Worlds [49][50][51] or 3D-based games, 52,53 have been successfully applied to teaching languages, like German, 54,55 or French. 50 The bene¯ts of playing video games have made them useful in a wide variety of sectors of the society such as education, [56][57][58] sports, 59 training, [60][61][62] marketing, 63 or clinical practice, 64 among others.…”

Section: Potential Of the Video Games To Promote Resilience Skillsmentioning

confidence: 99%

Improving Youngsters’ Resilience Through Video Game-Based Interventions

Menéndez-Ferreira

Torregrosa

Panizo-LLedot

et al. 2020

Vietnam J. Comp. Sci.

View full text Add to dashboard Cite

Radicalization, as a violent form of extremism, is a growing problem for Europe. Currently, it is possible to find extreme ideologies regarding almost every topic such as religion, politics or sports. This problem, which ranges from personal identity conflicts to complex societal issues, has an impact on several people everyday, especially on youngsters. To confront this situation, the European Union found several initiatives, as a way to face this problem from a scientific perspective. Some of these initiatives face the problem trying to reduce radicalization by working on personal and social skills through education, in such a way the youngster’s resilience is improved. This paper aims to present YoungRes, a European project whose goal is to improve the resilience of youngsters. To do so, it unifies an already created intervention — named Fortius — through the inclusion of video games in the learning process. This paper describes both: (1) how the Fortius program is modified to allow video games sessions and (2) the software architecture designed to allow students and educators to participate in YoungRes project. Finally, different suggestions to include in future versions of the game are discussed.

show abstract

Section: Potential Of the Video Games To Promote Resilience Skillsmentioning

confidence: 99%

Improving Youngsters’ Resilience Through Video Game-Based Interventions

Menéndez-Ferreira

Torregrosa

Panizo-LLedot

et al. 2020

Vietnam J. Comp. Sci.

View full text Add to dashboard Cite

show abstract

“…From our previous experience in different complex and industrial problems in different areas from Social Networks Analysis [45]- [47], Project Scheduling [19], [20], Videogames [22], [48], [49], Music classification [50], Unmmaned Systems [51]- [53], Bio-informatics [5], or even computing-based Education [9], [10], [54]. We have design and developed several bio-inspired algorithms for clustering or graph-based computing with the aim to handle Big Data-based problems.…”

Section: Current Trends and New Bio-inspired Approachesmentioning

confidence: 99%

Bio-inspired clustering: Basic features and future trends in the era of Big Data

Camacho

2015

2015 IEEE 2nd International Conference on Cybernetics (CYBCONF)

View full text Add to dashboard Cite

Clustering is perhaps one of the most popular approaches used in unsupervised machine learning. There's a huge number of different methods and algorithms that have been designed in the last decades related to this "blind pattern search", some of these approaches are based on bio-inspired methods such as Evolutionary Computation, Swarm Intelligence or Neural Networks among others. In the last years, and due to the fast growing of Big Data problems, some interesting advances and new approaches are currently being developed in this area, new algorithms like online clustering and streaming clustering are appearing. These new algorithms try to solve classical problems in Clustering and deal with the new features of these new kind of problems. This keynote lecture will provide some basics on both, Clustering methods and bio-inspired computation, and how they have been combined to improve the quality of these algorithms, to later show the main features that Big Data needs to obtain reliable clustering approaches. Finally, some practical examples and applications will be described to show how these new algorithms are evolving to be used in the near future in complex and dynamic environments.

show abstract

“…Using an innovative educational platform, named VirtUAM (from Virtual Worlds at Universidad Autónoma de Madrid) [8], some new techniques are integrated to find students communities based-on their behaviour. The goal of this work is to test whether students behaviour characteristics (extracted from the VW using the monitoring tools) can be used to classify students in different behavioural communities, extending the work presented in [4,19].…”

Section: Introductionmentioning

confidence: 99%

Behaviour-based identification of student communities in virtual worlds

2014

View full text Add to dashboard Cite

VirtualWorlds (VW) have gained popularity in the last years in domains like training or education mainly due to their highly immersive and interactive 3D characteristics. In these platforms, the user (represented by an avatar) can move and interact in an artificial world with a high degree of freedom. They can talk, chat, build and design objects, program and compile their own developed programs, or move (flying, teleporting, walking or running) to different parts of the world. Although these environments provide an interesting working place for students and educators, VW platforms (such as OpenCobalt or OpenSim amongst others) rarely provide mechanisms to facilitate the automatic (or semi-automatic) behaviour analysis of users interactions. Using a VW platform called VirtUAM, the information extracted from different experiments are used to analyse and define students communities based on their behaviour. To define the individual student behaviour, different characteristics are extracted from the system, such as the avatar position (in form of GPS coordinates) and the set of actions (interactions) performed by students within the VW. Later this information is used to automatically detect behavioural patterns. This paper shows how this information can be used to group students in different communities based on their behaviour. Experimental results show how community identification can be successfully perform using K-Means algorithm and Normalized Compression Distance. Resulting communities contains users working in near places or with similar behaviours inside the virtual world.This work has been funded by the Spanish Ministry of Science and Innovation under the project ABANT (TIN2010-19872/TSI)

show abstract

Using virtual worlds for behaviour clustering-based analysis

Cited by 6 publications

References 8 publications

Improving Youngsters’ Resilience Through Video Game-Based Interventions

Improving Youngsters’ Resilience Through Video Game-Based Interventions

Bio-inspired clustering: Basic features and future trends in the era of Big Data

Behaviour-based identification of student communities in virtual worlds

Contact Info

Product

Resources

About