Funding Organization: European Commission
Funding Programme: Horizon H2020
Funding Instrument: Innovation Action
Start Date:
Duration: 36 months
Total Budget: 6,584,145 EUR
ITI Budget: 803,750 EUR

Managing Affective-learning THrough Intelligent atoms and Smart InteractionS (2016: H2020 IA)

The MaTHiSiS learning vision is to provide a product-system for vocational training and mainstream education for both individuals with an intellectual disability and non-diagnosed ones. This product-system consists of an integrated anthropocentric platform, along with a set of re-usable learning components (educational material, digital educational artefacts etc.), which will respond to the needs of a future educational framework and provide capabilities for: i) adaptive learning, ii) automatic feedback, iii) automatic assessment of learner’s progress and behavioural state, iv) affective learning and v) game-based learning.

The MaTHiSiS project will introduce a novel methodology in the education process to achieve these educational objectives, which will associate specific learning goals with appropriate learning materials. Goals will be derived from formal and non-formal education (general education, vocational training, lifelong training or specific skills learning) as well as learner’s own goals (informal education). It will also make use of cutting-edge technologies in learning settings that range from specialized robots and mobile devices to interactive whiteboards, and advance these to a greater degree of integration into the market. Doing so, MaTHiSiS will create a whole new educational ecosystem-as-a-product, seamlessly adaptable to specific needs (both financial (e.g, low school budget) or educational) and contexts. Central to the MaTHiSiS innovation strategy is also the ability to transfer knowledge across different means and, consequently, different learning settings.

Over 36 months, MaTHiSiS will create a novel and continuously adaptable “robot/machine/computer”-human interaction educational scheme which adapts to different learning requirements and makes use of the shared knowledge among its different components to advance learning beyond linear social skill acquisition towards more workplace-oriented activities. The methodological and technological innovation of MaTHiSiS stems from the interplay of advancements in technologies in six major areas: mobile learning, e- Learning, adaptive learning, robotics, affective computing that come together to form a ubiquitous and holistic ecosystem that benefits education.


  1. S. Thermos, G. T. Papadopoulos, P. Daras, G. Potamianos, "Deep Affordance-grounded Sensorimotor Object Recognition" , IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, Hawaii, USA, July 2017.
  2. D. Antonaras, C. Pavlidis, N. Vretos, P. Daras, "Affect State Recognition for Adaptive Human Robot Interaction in Learning Environments" , 2017 12th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP), Bratislava, Slovakia, July 9 -10, 2017
  3. D. Tsatsou, N. Vretos, P. Daras, "Modelling Learning Experiences in adaptive multi-agent learning environments" , Proceedings of the 9th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games 2017), Athens, Greece, September 2017.
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