MemoRob: Studying Robots Distractor Effects
| Autor: | Charles Tijus, Céline Jost, Brigitte Le Pévédic, Marine Grandgeorge, M’ballo Seck, Farah Arab, Marie Le Menn |
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| Přispěvatelé: | Cognitions Humaine et ARTificielle (CHART), Université Paris 8 Vincennes-Saint-Denis (UP8)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Nanterre (UPN)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT), Ethologie animale et humaine (EthoS), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS), Institut national du sport, de l'expertise et de la performance (INSEP), Paris 8 University, École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Université Paris 8 Vincennes-Saint-Denis (UP8)-École Pratique des Hautes Études (EPHE), Normandie Université (NU)-Normandie Université (NU)-Université de Rennes (UR)-Centre National de la Recherche Scientifique (CNRS) |
| Rok vydání: | 2020 |
| Předmět: |
Computer science
cognitive stimulation 02 engineering and technology Human–robot interaction human-robot interaction Mode (computer interface) Human–computer interaction Distraction 0202 electrical engineering electronic engineering information engineering [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO] 0501 psychology and cognitive sciences Set (psychology) 050107 human factors General Environmental Science learning Cognitive stimulation [SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior business.industry [SCCO.NEUR]Cognitive science/Neuroscience 05 social sciences [SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences 020207 software engineering Robotics General Chemistry attention Computer Science Applications Modeling and Simulation Robot Artificial intelligence business distraction |
| Zdroj: | Modelling, measurement and control C Modelling, measurement and control C, 2020, 81 (1-4), pp.55-61. ⟨10.18280/mmc_c.811-410⟩ Modelling, measurement and control C, AMSE, 2020, 81 (1-4), pp.55-61. ⟨10.18280/mmc_c.811-410⟩ |
| ISSN: | 1259-5977 |
| DOI: | 10.18280/mmc_c.811-410 |
| Popis: | International audience; MemoRob is a model about how to optimize the use of robots for learning. It is based on a list of each possible robotic source of distraction associated with its relevant effects according to its nature and to the target learning mode. While collecting the sources of distraction that the robotics literature provides, the instantiation method of pairing each source and each learning mode with the nature of the distraction as well as its distracting effects allows to consider how to remedy these effects of robotic distraction effects although still having the robotic input as a learning medium. In this article, we provide the motivations that led to the need for the MemoRob model, the list of sources and effects generated by the Human-Robot interaction that may interfere with learning situations, the learning modes described according to their processes and mechanisms and, finally, a set of predictions on whether a given robotic learning situations might promote attention or distraction. |
| Databáze: | OpenAIRE |
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