REBECCA FORD R.FORD@NOTTINGHAM.AC.UK
Associate Professor
Next-generation sensory and consumer science: data collection tools using digital technologies
Ford, Rebecca; Ramsey, Imogen; Yang, Qian
Authors
Imogen Ramsey
Dr QIAN YANG QIAN.YANG@NOTTINGHAM.AC.UK
Assistant Professor
Abstract
The digital technologies used in sensory and consumer science have changed considerably over the last few decades, such as software for sensory data capture, devices and software for physiological and emotional response measurement, the use of sensor technology (e.g. e-nose and e-tongue) to assess sensory profiles and the use of virtual, augmented and mixed reality (MR) to create relevant contexts for sensory consumer studies. This chapter aims to give an overview of different digital data collection tools available to capture sensory and consumer data. The case study highlights an innovative approach to designing an immersive environment for the evaluation of sensory properties of a semisolid food product using MR. Consumer experience of such technology is also discussed, along with the key challenges. In addition, more advanced technologies for sensory research are presented providing perspectives on the future of sensory and consumer science in the digital world.
Citation
Ford, R., Ramsey, I., & Yang, Q. (2023). Next-generation sensory and consumer science: data collection tools using digital technologies. In Digital Sensory Science: Applications in New Product Development (229-248). Elsevier. https://doi.org/10.1016/B978-0-323-95225-5.00013-4
Online Publication Date | Aug 4, 2023 |
---|---|
Publication Date | 2023 |
Deposit Date | Nov 27, 2023 |
Pages | 229-248 |
Book Title | Digital Sensory Science: Applications in New Product Development |
Chapter Number | 15 |
ISBN | 9780323952255 |
DOI | https://doi.org/10.1016/B978-0-323-95225-5.00013-4 |
Public URL | https://nottingham-repository.worktribe.com/output/27599285 |
Publisher URL | https://www.sciencedirect.com/science/article/abs/pii/B9780323952255000134?via%3Dihub |
You might also like
Improving immersive consumption contexts using virtual & mixed reality
(2024)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search