Virtual Reality: Unlocking Emotions and Cognitive Marvels by Davide Maria Marchioro & Aimée Argüero Fonseca & Fabio Benatti & Marco Zuin
Author:Davide Maria Marchioro & Aimée Argüero Fonseca & Fabio Benatti & Marco Zuin
Language: eng
Format: epub
ISBN: 9783031681967
Publisher: Springer Nature Switzerland
4.4.1 Designing Restorative Virtual Environments: Conceptualization and Operationalization in Virtual Reality
In this context, VR emerges as a significant technological innovation, offering the ability to recreate natural experiences that can elicit effects comparable to those achieved through direct contact with the natural environment (Valtchanov & Ellard, 2015). However, to recreate a virtual environment with these characteristics, it was necessary to precisely define the concept of a ârestorative environment,â starting from a generic definition and then narrowing the semantic field to facilitate a more precise application of the construct in the context of VR. The literature supports that restorative environments are those places that have the potential to foster the renewal of mental resources, which tend to deplete more quickly when we are in environments unsuitable for the activities we intend to perform (Kaplan & Kaplan, 1989; Kaplan, 1995; Hartig et al., 1997).
Operationalization Criteria for VR Environments. Considering these theoretical premises, the design and evaluation of restorative virtual environments referred to the Perceived Restorativeness Scale (PRS), developed and subsequently refined by Hartig and colleagues (Hartig et al., 1991, 1997). The PRS, in its brief form, was then used to assess the reliability and validity of the restorative quality of various environments, serving as a criterion for selecting and refining virtual scenarios in terms of restorative potential. This tool enabled the identification of properties that would maximize the restorative potential of environments in VR, thus guiding researchers in choosing among different design alternatives and in the subsequent optimization of environments for their definitive virtual implementation.
Download
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.
Deep Learning with Python by François Chollet(12643)
Hello! Python by Anthony Briggs(9947)
OCA Java SE 8 Programmer I Certification Guide by Mala Gupta(9821)
The Mikado Method by Ola Ellnestam Daniel Brolund(9813)
A Developer's Guide to Building Resilient Cloud Applications with Azure by Hamida Rebai Trabelsi(9677)
Dependency Injection in .NET by Mark Seemann(9368)
Hit Refresh by Satya Nadella(8851)
Algorithms of the Intelligent Web by Haralambos Marmanis;Dmitry Babenko(8332)
The Kubernetes Operator Framework Book by Michael Dame(7916)
Sass and Compass in Action by Wynn Netherland Nathan Weizenbaum Chris Eppstein Brandon Mathis(7810)
Test-Driven iOS Development with Swift 4 by Dominik Hauser(7788)
Grails in Action by Glen Smith Peter Ledbrook(7719)
Exploring Deepfakes by Bryan Lyon and Matt Tora(7703)
Practical Computer Architecture with Python and ARM by Alan Clements(7644)
Implementing Enterprise Observability for Success by Manisha Agrawal and Karun Krishnannair(7612)
Robo-Advisor with Python by Aki Ranin(7602)
The Well-Grounded Java Developer by Benjamin J. Evans Martijn Verburg(7590)
Building Low Latency Applications with C++ by Sourav Ghosh(7484)
Svelte with Test-Driven Development by Daniel Irvine(7468)
