Advertisement

A Model for Internet of Things Enhanced User Experience in Smart Environments

  • Edward CurryEmail author
  • Willem Fabritius
  • Souleiman Hasan
  • Christos Kouroupetroglou
  • Umair ul Hassan
  • Wassim Derguech
Open Access
Chapter

Abstract

Smart environments have emerged in the form of smart cities, smart buildings, smart energy, smart water, and smart mobility [24], where the Internet of Things (IoT)-based infrastructure can support the efficient use of resources within the environment (e.g. water, energy, and waste) [289]. To this end, smart environments can engage a wide range of end users with different interests and priorities, from corporate managers looking to improve the performance of their business to school children who want to explore and learn more about the world around them. Creating a compelling user experience within a smart environment (from smart buildings to smart cities) is an essential factor to success. In this chapter, we reflect on our experience of developing intelligent applications using a Real-time Linked Dataspace within a smart airport, office, home, mixed-use, and school, where the goal has been to engage a wide range of users (from building managers to business travellers) to increase water and energy awareness, management, and conservation.

Keywords

User experience design Transtheoretical Model Behaviour change Internet of Things Energy management Water management Dataspaces 

Copyright information

© The Author(s) 2020

Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

Authors and Affiliations

  • Edward Curry
    • 1
    Email author
  • Willem Fabritius
    • 2
  • Souleiman Hasan
    • 2
  • Christos Kouroupetroglou
    • 2
  • Umair ul Hassan
    • 2
  • Wassim Derguech
    • 2
  1. 1.National University of Ireland GalwayGalwayIreland
  2. 2.Insight Centre for Data AnalyticsNational University of IrelandGalwayIreland

Personalised recommendations