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Serendipitous learning fostered by brain state assessment and collective wisdom

Cerri Stefano A., Lemoisson Philippe. 2020. Serendipitous learning fostered by brain state assessment and collective wisdom. In : Brain function assessment in learning: Second International Conference, BFAL 2020, Heraklion, Crete, Greece, October 9–11, 2020, Proceedings. Frasson Claude (ed.), Bamidis Panagiotis (ed.), Vlamos Panagotis (ed.). IIS. Cham : Springer, 125-136. (Lecture Notes in Artificial Intelligence, 12462) ISBN 978-3-030-60734-0 International Conference on Brain Function Assessment in Learning (BFAL 2020). 2, Crète, Grèce, 9 Octobre 2020/11 Octobre 2020.

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Résumé : Serendipitous discovery, invention or artistic creation are among the most exciting and utmost relevant phenomena strongly related to human learning. At the moment, there are very few measurable criteria helping to understand and foster serendipity. In other papers [1–3] we have presented, discussed and exemplified a new paradigm/model/method/system/environment – called ViewpointS – that represents our efforts to overcome many current existing limitations in generic Information Systems or search engines (e.g.: Google) as well as in other social media (e.g.: recommender systems) offering information retrieval solutions based on the proximity of available resources.We also have also exposed howViewpointS may facilitate serendipitous discovery in an unprecedented way. In this paper, we wish to further motivate this last conjecture by proposing to explore two main research directions that did not convey sufficient attention by previous researchers (in particular those active in recommender systems): 1. assessing brain states in order to understand and forecast serendipitous human learning events triggered by emotions; 2. enhancing collective wisdom, since Human-Computer Interactions do not occur today between a human and a single machine (or algorithm), but within a community of humans and machines that continuously update “knowledge” beyond the scene. Both directions (assessment of brain states, collective wisdom) are currently on separate ways; we propose to combine them within one unified approach called ViewpointS.

Mots-clés Agrovoc : apprentissage, capacité d'apprentissage, capacité mentale, connaissance, apprentissage machine, intelligence

Mots-clés complémentaires : sérendipité, interactions homme-machine, intelligence collective

Mots-clés libres : ViewpointS, Informal learning, Knowledge graph

Classification Agris : C30 - Documentation et information
U10 - Informatique, mathématiques et statistiques

Auteurs et affiliations

  • Cerri Stefano A., FBK (ITA)
  • Lemoisson Philippe, CIRAD-ES-UMR TETIS (FRA)

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Source : Cirad-Agritrop (https://agritrop.cirad.fr/598054/)

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