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Human-in-the-Loop Tasks for Data Management, Citizen Sensing, and Actuation in Smart Environments

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Abstract

Humans are playing critical roles in the management of data at large scales, through activities including schema building, matching data elements, resolving conflicts, and ranking results. The application of human-in-the-loop within intelligent systems in smart environments presents challenges in the areas of programming paradigms, execution methods, and task design. This chapter examines current human-in-the-loop approaches for data management tasks, including data integration, data collection (e.g. citizen sensing), and query refinement. A comparison of approaches (Augmented Algorithms, Declarative Programming, and Stand-alone Platforms) that can enable human tasks within data management is presented. The chapter also covers spatial tasks where users within the smart environment are requested to take physical actions in the environment in the form of citizen actuation.

Keywords

  • Human-in-the-loop
  • Crowdsourcing
  • Citizen sensing
  • Task routing
  • Smart environments
  • Dataspaces
  • Smart environments

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Correspondence to Edward Curry .

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ul Hassan, U., Curry, E. (2020). Human-in-the-Loop Tasks for Data Management, Citizen Sensing, and Actuation in Smart Environments. In: Real-time Linked Dataspaces. Springer, Cham. https://doi.org/10.1007/978-3-030-29665-0_9

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  • DOI: https://doi.org/10.1007/978-3-030-29665-0_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-29664-3

  • Online ISBN: 978-3-030-29665-0

  • eBook Packages: Computer ScienceComputer Science (R0)