ProsocialLearn

ProsocialLearn

Funding Organization: European Commission
Funding Programme: Horizon H2020
Funding Instrument: Innovation Action
Start Date:
Duration: 36 months
Total Budget: 4,197,071 EUR
ITI Budget: 516,250 EUR

Gamification of Prosocial Learning for Increased Youth Inclusion and Academic Achievement (2015: H2020 ICT – IA)

ProsocialLearn aims to create a ground-breaking digital gaming genre in order to help children (7-10 years old) to acquire prosocial skills necessary for positive relationships, team working, trustworthiness and emotional intelligence. The project will deliver a series of disruptive innovations building on a game development and distribution platform for the production of prosocial games that engages children and stimulates technology transfer from traditional game industry to the education sector. ProsocialLearn will offer games developers scientifically proven prosocial game elements for development digital games. An application programming interface (API), ProsocialAPI, will allow developers to integrate functions into games including visual sensing, identification of prosocial signals from in-game actions, personalised adaptation of game elements, player profiles, game mechanics and expressive virtual characters, and support for data collection with protection of personal data.

SMEs from the traditional game industry will work together with serious games companies to produce a series of exciting digital games targeting European schools. Through a multi-disciplinary collaboration between industry, researchers, psychologists, pedagogists and teaching professionals, ProsocialLearn will address complex factors associated with child development and advanced ICT in school curricula. Both short term and longitudinal studies (pilots) will be conducted at schools across Europe to build scientific evidence of the benefits of prosocial gaming in different cultural settings and scales.

 

Publications:
  1. K. Apostolakis, K. Stefanidis, A. Psaltis, K. Dimitropoulos, P. Daras, "Offline and Online Adaptation in Prosocial Games" , Proceedings of the 9th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games 2017), Athens, Greece, September 2017.
  2. A. Psaltis, K. Apostolakis, K. Dimitropoulos, P. Daras, "Multimodal Student Engagement Recognition in Prosocial Games" , IEEE Transactions on Computational Intelligence and AI in Games (T-CIAIG), DOI: 10.1109/TCIAIG.2017.2743341
  3. K. Apostolakis, A. Psaltis, K. Stefanidis, K. Kaza, S. Thermos, K. Dimitropoulos, E. Dimaraki, P. Daras, "Exploring the Prosociality Domains of Trust and Cooperation, through Single and Cooperative Digital Gameplay in Path of Trust" , International Journal of Serious Games (IJSG), Vol: 3, No: 3, pp. 39-57, September 2016
  4. A. Psaltis, K. Kaza, K. Stefanidis, S. Thermos, K. Apostolakis, K. Dimitropoulos, P. Daras, "Multimodal Affective State Recognition in Serious Games Applications" , 2016 IEEE International Conference on Imaging Systems and Techniques (IST 2016), Chania, Greece, October 4-6, 2016.
  5. K. Kaza , A. Psaltis , K. Stefanidis , K. Apostolakis , S. Thermos , K. Dimitropoulos, P. Daras, "Body Motion Analysis for Emotion Recognition in Serious Games" , HCI International 2016, Toronto, Canada, 17 - 22 July 2016.
  6. K. Apostolakis, P. Daras, "Natural user interfaces for virtual character full body and facial animation in immersive virtual worlds" , In Augmented and Virtual Reality (pp. 371-383). Springer International Publishing, 2015
  7. K. Apostolakis, K. Kaza, A. Psaltis, K. Stefanidis, S. Thermos, K. Dimitropoulos, E. Dimaraki, P. Daras, "Path of Trust: A prosocial co-op game for building up trustworthiness and teamwork" , InΒ Games and Learning Alliance: Fourth International Conference, GALA 2015, Rome, Italy, December 9-11, 2015, Revised Selected Papers. Springer. To appear
  8. S. Asteriadis, P. Daras, "Skeleton-based Human Action Recognition using Basis Vectors" , 8th International Conference on Pervasive Technologies Related to Assistive Environments 2015 (PETRA 2015), Corfu, Greece, 1-3 July 2015
Contact:
Dr. Petros Daras
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Visual Computing Lab

The focus of the Visual Computing Laboratory is to develop new algorithms and architectures for applications in the areas of 3D processing, image/video processing, computer vision, pattern recognition, bioinformatics and medical imaging.

Contact Information

Dr. Petros Daras, Principal Researcher Grade Α
1st km Thermi – Panorama, 57001, Thessaloniki, Greece
P.O.Box: 60361
Tel.: +30 2310 464160 (ext. 156)
Fax: +30 2310 464164
Email: daras@iti.gr