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Immersive Analytics for the Ecological Cognitive Stimulation Approach

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Immersive Learning Research Network (iLRN 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 840))

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Abstract

The continuous attenuation of the old people’s cognitive functions is one of the most common problems encountered nowadays. However, the absence of curative treatments for the mild cognitive impairment like Alzheimer’s disease pushes the specialists to propose alternative solutions, for medicinal treatments, which can be based on tele-operating robots, remote monitoring platforms and software applications for cognitive stimulation.

In this paper, we move from the classic cognitive methods of the stimulation related to the old person to ecological solutions that exploit the person’s data to propose adaptive activities. Ecological solutions use environment, connected objects data and person profile, for building activities of the cognitive stimulation that adapts to the corresponding situation. To build activities, efficiently, we propose to exploit immersive analytics potential to analyze and visualize the available huge amount of data through constructing virtual environments for the simulations, leading to better decisions that may influence the life of the persons.

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Author information

Authors and Affiliations

  1. InterVPNC, University of Jendouba, Jendouba, Tunisia

    Maroua Ayadi

  2. BESTMOD, Institut Superieur de Gestion, University of Tunis, Tunis, Tunisia

    Nouha Arfaoui & Jalel Akaichi

Authors
  1. Maroua Ayadi
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  2. Nouha Arfaoui
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  3. Jalel Akaichi
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Corresponding author

Correspondence to Maroua Ayadi .

Editor information

Editors and Affiliations

  1. University of Arkansas, Fayetteville, Arkansas, USA

    Dennis Beck

  2. University of St Andrews, St Andrews, United Kingdom

    Colin Allison

  3. Universidade Aberta, Coimbra, Portugal

    Leonel Morgado

  4. Institute for Information System and Computer System, Graz University of Technology, Graz, Austria

    Johanna Pirker

  5. School of Computer Science and Electronic Engineering, University of Essex, Colchester, United Kingdom

    Anasol Peña-Rios

  6. Virginia Tech, Blacksburg, Virginia, USA

    Todd Ogle

  7. Salish Kootenai College, Pablo, Montana, USA

    Jonathon Richter

  8. Institute for Information System and Computer System, Graz University of Technology, Graz, Austria

    Christian Gütl

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Ayadi, M., Arfaoui, N., Akaichi, J. (2018). Immersive Analytics for the Ecological Cognitive Stimulation Approach. In: Beck, D., et al. Immersive Learning Research Network. iLRN 2018. Communications in Computer and Information Science, vol 840. Springer, Cham. https://doi.org/10.1007/978-3-319-93596-6_4

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  • DOI: https://doi.org/10.1007/978-3-319-93596-6_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93595-9

  • Online ISBN: 978-3-319-93596-6

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