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Towards an intelligent desk matching behaviors and performance of learners

Published: 25 September 2017 Publication History

Abstract

This paper proposes the design of a system to semi-automatically identify possible relationships between learner behavior and task performance in an intelligent desk. The aim of detecting such relationships is to help teachers and students in the learning process, supporting their activities with an unobtrusive observation to identify special needs to improve their performance. The proposed system is based on models of the desk, of behaviors arising from user-object interactions, and task performance. Its components are designed to address four main functions: data acquisition, behavior identification, task performance identification, and computing relationships between behaviors and task performance.

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Cited By

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  • (2022)Digital Accessibility in Intelligent EnvironmentsHuman-Automation Interaction10.1007/978-3-031-10780-1_25(453-475)Online publication date: 1-Oct-2022
  • (2019)Shaping the Intelligent Classroom of the FutureHCI International 2019 – Late Breaking Posters10.1007/978-3-030-30712-7_27(200-212)Online publication date: 20-Sep-2019
  • (2019)Expressive Context Modeling with Description LogicsKnowledge Graphs and Semantic Web10.1007/978-3-030-21395-4_13(174-185)Online publication date: 19-May-2019

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  1. Towards an intelligent desk matching behaviors and performance of learners

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    cover image ACM Other conferences
    Interacción '17: Proceedings of the XVIII International Conference on Human Computer Interaction
    September 2017
    268 pages
    ISBN:9781450352291
    DOI:10.1145/3123818
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 25 September 2017

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    Author Tags

    1. intelligent environments
    2. task performance
    3. user behavior
    4. user-object interaction

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    • National Council for Science and Technology (CONACYT)

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    Interacción '17

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    Overall Acceptance Rate 109 of 163 submissions, 67%

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    View all
    • (2022)Digital Accessibility in Intelligent EnvironmentsHuman-Automation Interaction10.1007/978-3-031-10780-1_25(453-475)Online publication date: 1-Oct-2022
    • (2019)Shaping the Intelligent Classroom of the FutureHCI International 2019 – Late Breaking Posters10.1007/978-3-030-30712-7_27(200-212)Online publication date: 20-Sep-2019
    • (2019)Expressive Context Modeling with Description LogicsKnowledge Graphs and Semantic Web10.1007/978-3-030-21395-4_13(174-185)Online publication date: 19-May-2019

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