The Virtual Driving Instructor Creating Awareness in a Multiagent System

Weevers, Ivo; Kuipers, Jorrit; Brugman, Arnd; Zwiers, Job; Dijk, E.M.A.G. van; Nijholt, Anton

doi:10.1007/3-540-44886-1_56

Cited by 9 publications

(8 citation statements)

References 2 publications

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“…La littérature rapporte beaucoup de travaux de recherche sur la conception de systèmes d'apprentissage dédiés à des domaines faisant intervenir des connaissances perceptivo-gestuelles. Nous pouvons citer les travaux réalisés par Mulgund et al (1995) sur le pilotage d'hélicoptères, par Remolina et al (2004) sur l'aviation et par Weevers et al (2003) et de Winter et al (2008) sur la conduite automobile. Plus récemment, le Système Tutoriel Intelligent CanadarmTutor a été proposé pour l'entraînement des astronautes de la Station Spatiale Internationale à la manipulation d'un bras articulé robotisé (Fournier-Viger et al, 2011).…”

Section: éTat De L'artunclassified

Analyse de connaissances perceptivo-gestuelles dans un Système Tutoriel Intelligent

Toussaint¹,

Luengo²,

Jambon³

2017

stice

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■ RÉSUMÉ • Pour couvrir toutes les facettes des connaissances multimodales telles que les connaissances perceptivo-gestuelles, divers périphériques sont exploités. Les traces produites par ces derniers fournissent des informations pertinentes sur l'activité de l'apprenant. Cependant elles sont multi-sources et hétérogènes et, de ce fait, difficiles à traiter automatiquement. Pour faciliter leur traitement, il convient de leur fournir une représentation formelle qui reflète l'activité multimodale à laquelle elles sont liées. Cet article décrit notre proposition de formalisation de ce type de traces enregistrées à partir d'un Système Tutoriel Intelligent dédié à la chirurgie orthopédique percutanée, TELEOS. ■ MOTS-CLÉS • Connaissances perceptivo-gestuelles, chirurgie orthopédique percutanée, Système Tutoriel Intelligent, TELEOS ■ ABSTRACT • To cover the aspects of multimodal knowledge such as perceptual-gestural knowledge, various devices are required. Traces produced by these devices provide rich information and often accurate on learners' activity. However, those traces are multi-source and heterogeneous and, thus, difficult to process automatically. To foster their treatment, a formal representation that reflects consistent multimodal activity, to which they are linked, is needed. This paper describes our proposal to formalize this type of traces recorded from TELEOS, an Intelligent Tutoring System dedicated to percutaneous orthopedic surgery.

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Section: éTat De L'artunclassified

Analyse de connaissances perceptivo-gestuelles dans un Système Tutoriel Intelligent

Toussaint¹,

Luengo²,

Jambon³

2017

stice

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“…Only one article was found. Weevers et al (2003) created the Virtual Driving Instructor (VDI), a multiagent ITS system for simulator-based driving instruction. The VDI utilized separate agents for things such as situational awareness, presentation of material and curriculum management and a tree-structure for managing individual skills and driver behavior.…”

Section: An Intelligent Driving Simulator Instruction Systemmentioning

confidence: 99%

An Autonomous Intelligent Driving Simulation Tutor for Driver Training and Remediation: A Concept Paper

Romoser

2011

Proceedings of the 6th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design : Dr

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Summary: An intelligent tutoring model for use in a driving simulation training platform is proposed. Driving simulators by themselves cannot teach and staffing driving simulators with live trainers limits their ability to reach a wide audience. Research has shown that customized feedback, coupled with active practice in a simulator is very effective in changing a driver's behavior for the better. A driving simulation training program which utilizes an intelligent tutoring system (ITS) can diagnose driver errors, tailor feedback to the student's specific needs, determine when a student has mastered a specific skill set and can provide remediation as necessary. A brief discussion of basic ITS architecture is provided. An ITS model that has been successful in teaching individual skills in other domains (such as mental rotation) is applied to driving simulator instruction. The various critical components of the ITS, including the domain model, student model and tutoring model, are discussed in detail and a working example provided.

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“…Most tasks could be failed for different reasons. More information about the virtual instructor can be found in Weevers et al (2003aWeevers et al ( , 2003b.…”

Section: Training Softwarementioning

confidence: 99%

“…More information about the simulator and the virtual instructor can be found in Fikkert et al (2006), Green Dino (2007, Kappé and Van Emmerik (2005), Weevers et al (2003aWeevers et al ( , 2003b …”

Section: Implications For the Development Of Virtual Instructorsmentioning

confidence: 99%

“…It has been estimated that around 100 low-cost simulators are currently used in the Netherlands for initial driver training (Kappé & Van Emmerik, 2005). Nowadays, the introduction of virtual instructor software, sometimes referred to as an intelligent tutoring system, contributes to further automation of driver education, the result of which changes the role of the human instructor into that of a supervisor (Kappé & Van Emmerik, 2005;Weevers et al, 2003aWeevers et al, , 2003b. In comparison with a human instructor, a virtual instructor monitors and assesses the driver's actions by comparing his or her performance with normative performance and gives corrective feedback when the driver fails to comply with these norms (e.g., Michon, 1993).…”

Section: Introductionmentioning

confidence: 99%

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