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Virtual Reality for Enhancement of Emotional Mindset in the First Lockdown of United Kingdom for the Covid-19 Pandemics

Part of the Lecture Notes in Computer Science book series (LNAI,volume 12960)

Abstract

From 20 March to 10 May 2020, the “stay at home” countermeasures for the Covid-19 emergency lockdown were defined in the United Kingdom (UK) as leaving home for only the following reasons: “Key worker travelling to work”, “Shopping for basic necessities”, “Any medical need” or “Exercise once a day”. Data collected from the UK Office for National Statistics through online and telephone questionnaires are an exceptional baseline data set on people behaviour during the Covid-19 pandemics. In this paper, data from demographic surveys from the UK are compared to statistical and feedback data from the Virtual Reality app called TRIPP for meditation in the experiences called Focus and Calm. Our data analysis shows that during lockdown the psychological and emotional mindset, severely challenged, has been successfully enhanced with the use of Virtual Reality.

Keywords

  • Artificial intelligence
  • Emotion recognition
  • Coronavirus
  • Affective computing
  • Lockdown

Idea VF, data acquisition VF GB, data analysis VF NDM, experiments setting VF NDM, R statistics NDM, outcome evaluation VF NDM, supervision VF AM, data formatting GB VF, paper writing VF, paper revision GB.

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Acknowledgements

The authors are profoundly grateful to TRIPP for providing the data and for their openness to scientific exchange under NDA. The authors also declare no association with TRIPP and no conflict of interest.

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Correspondence to Valentina Franzoni .

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Franzoni, V., Di Marco, N., Biondi, G., Milani, A. (2021). Virtual Reality for Enhancement of Emotional Mindset in the First Lockdown of United Kingdom for the Covid-19 Pandemics. In: Mahmud, M., Kaiser, M.S., Vassanelli, S., Dai, Q., Zhong, N. (eds) Brain Informatics. BI 2021. Lecture Notes in Computer Science(), vol 12960. Springer, Cham. https://doi.org/10.1007/978-3-030-86993-9_18

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  • DOI: https://doi.org/10.1007/978-3-030-86993-9_18

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