As never before, during the COVID-19 pandemic, the effectiveness of the digital design strategies on the user’s well-being has been questioned. However, a research branch astride digital design and neuroscience able to overcome net discipline borders to analyse users’ well-being seems to be lacking. Today mainly qualitative data are used in the design field for the investigation of users’ quality experience. Although fundamental, they also have great disadvantages such as unanswered questions, unconscientious responses, and respondents’ biases. As such, a systematic state of art review is presented to find methodologies and tools currently used in medicine to identify the impact of digital design strategies (XR) on users’ well-being through quantitative and objective data. The main technologies used for this purpose have been synthesized in a schematic chart by reporting the principal related biometric data (skin conductivity, heart rate metrics and breathing rates), as well as other technologies such as video/images/audio analysis based on sensors and machine learning to reach out mass numbers. In conclusion, gaps and future applications of this innovative approach within the virtual environment have been identified by the authors
University of Florence, Italy - ORCID: 0000-0003-2880-269X
University of Florence, Italy - ORCID: 0000-0001-8470-2648
University of Florence, Italy - ORCID: 0000-0003-4724-286X
Chapter Title
Application of Smart Technologies for Assessing Users’ Well-Being for Immersive Design Strategies: A State-of-the-Art Review
Authors
Eleonora D'Ascenzi, Vito Getuli, Irene Fiesoli
DOI
10.36253/979-12-215-0289-3.09
Peer Reviewed
Publication Year
2023
Copyright Information
© 2023 Author(s)
Content License
Metadata License
Book Title
CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality
Book Subtitle
Managing the Digital Transformation of Construction Industry
Editors
Pietro Capone, Vito Getuli, Farzad Pour Rahimian, Nashwan Dawood, Alessandro Bruttini, Tommaso Sorbi
Peer Reviewed
Publication Year
2023
Copyright Information
© 2023 Author(s)
Content License
Metadata License
Publisher Name
Firenze University Press
DOI
10.36253/979-12-215-0289-3
eISBN (pdf)
979-12-215-0289-3
eISBN (xml)
979-12-215-0257-2
Series Title
Proceedings e report
Series ISSN
2704-601X
Series E-ISSN
2704-5846