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Adding Emotional Intelligence to Physical Spaces: Data-Driven Solutions for Measuring, Analysing, and Responding to User Needs and Expectations

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Emotional Data Applications and Regulation of Artificial Intelligence in Society

Part of the book series: Law, Governance and Technology Series ((LGTS,volume 69))

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Abstract

Although emotions can influence our living, experiences, and performance in different contexts, current immersive services in physical environments are failing to read, interpret and respond to our emotions. This study aims to provide understanding of how to enhance physical spaces with emotionally aware, intelligent, and integrated services meeting the expectations of the users. It focuses on three different environments (office, public space and transport) and defines the high-level requirements for the technologies needed for the implementation of emotionally intelligent services, as well as identifies the stakeholders involved in service creation and data processing. Service concepts were generated in collaboration with experts from academia and industry using co-creation methods. The industrial partners of this study see that the novel sensing capabilities and artificial emotional intelligence-based solutions for behaviour analysis and situational awareness have the potential to enable new services, for both the space operators and the users. For such services, the pipeline from data to information and actions must be streamlined and modular, which requires research on technologies, analytics methods, service, and business model design. Ultimately, such services will enable businesses to provide experiences that understand and respond to human behaviour and emotional responses in everyday life, while interacting with technology.

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Notes

  1. 1.

    Tzirakis et al. (2021).

  2. 2.

    Hernandez et al. (2021).

  3. 3.

    Booth et al. (2019); Fernandes et al. (2022).

  4. 4.

    Fernandes et al. (2022).

  5. 5.

    Anderson and Ostrom (2015).

  6. 6.

    Luomala et al. (2023).

  7. 7.

    Vildjiounaite et al. (2017); Lin et al. (2016).

  8. 8.

    Tirachini and Cats (2020).

  9. 9.

    Vildjiounaite et al. (2019); Kallio et al. (2020).

  10. 10.

    Camplani et al. (2016).

  11. 11.

    Iguernaissi et al. (2019).

  12. 12.

    Fu et al. (2020).

  13. 13.

    Cabanac (2002).

  14. 14.

    Canal et al. (2022).

  15. 15.

    Ben et al. (2022).

  16. 16.

    Russell and Mehrabian (1974).

  17. 17.

    Kreibig (2010).

  18. 18.

    Wang et al. (2017); Casado et al. (2024).

  19. 19.

    Kiuru et al. (2016).

  20. 20.

    Jardak et al. (2019).

  21. 21.

    David and Samraj (2020).

  22. 22.

    Zhang et al. (2022).

  23. 23.

    Ibid.

  24. 24.

    MyData (2024).

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Correspondence to Sari Järvinen .

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Järvinen, S., Kallio, J. (2025). Adding Emotional Intelligence to Physical Spaces: Data-Driven Solutions for Measuring, Analysing, and Responding to User Needs and Expectations. In: Ballardini, R., van den Hoven van Genderen, R., Järvinen, S. (eds) Emotional Data Applications and Regulation of Artificial Intelligence in Society. Law, Governance and Technology Series, vol 69. Springer, Cham. https://doi.org/10.1007/978-3-031-80111-2_2

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  • DOI: https://doi.org/10.1007/978-3-031-80111-2_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-80110-5

  • Online ISBN: 978-3-031-80111-2

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