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Enabling the Automatic Generation of User Interfaces for Remote Laboratories

  • Wissam HalimiEmail author
  • Christophe Salzmann
  • Hagop Jamkojian
  • Denis Gillet
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 22)

Abstract

Remote laboratories are an important component of blended and distance science and engineering education. By definition, they provide access to a physical lab in a distant location. Many architectures enabling remote laboratory systems exist, the most common of which are Client-Server based. In this context, the Server interfaces the physical setup and makes it software-accessible. The Smart Device Specifications revisit a Client-Server architecture, with the main aim of cancelling the dependencies which inherently exist between a Client and a Server. This is done by describing the Server as a set of services, which are exposed as well-defined APIs. If a remote laboratory is built following the Smart Device Specifications, any person with programming skills can create a personalized client application to access the lab. But in practice, teachers rely on the mediated contact with a lab provider to have information about what kind of experiment(s) the lab in question implements. Even though there is a complete description of the available sensors and actuators making up a lab and how to be accessed, it is not clear how they are connected (relationships). In this sense, a list of sensors and actuators are not enough to make a guided selection of components to create the interface to an experiment. Therefore, the aim of this work is to support teachers in choosing the experiments and creating the respective UI on their own, in a pedagogically oriented scenario and by taking into consideration the target online learning environment. This is done by revisiting the Smart Device Specifications and extending them, in addition to proposing a tool that will automatically generate the user interface of the chosen experiment(s).

Keywords

Remote laboratories Online learning Cyber physical systems User interfaces Personalisation 

Notes

Acknowledgment

This research is partially funded by the European Union in the context of Go-Lab (grant no. 317601) project under the ICT theme of the 7th Framework Programme for R&D (FP7).

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Wissam Halimi
    • 1
    Email author
  • Christophe Salzmann
    • 2
  • Hagop Jamkojian
    • 1
  • Denis Gillet
    • 1
  1. 1.EPFL, REACTLausanneSwitzerland
  2. 2.Automatic Control LaboratoryEPFLLausanneSwitzerland

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