Digital Sensory Science

Applications in New Product Development

1st Edition - July 26, 2023
Editors: J. Ben Lawlor, Jean A. McEwan, David Labbe
Language: English
Paperback ISBN:
9 7 8 - 0 - 3 2 3 - 9 5 2 2 5 - 5
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 9 5 2 2 6 - 2

Digital Sensory Science: Applications in New Product Development provides a comprehensive overview of digital sensory science, an area that has broadly been defined as the use of… Read more

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Digital Sensory Science: Applications in New Product Development provides a comprehensive overview of digital sensory science, an area that has broadly been defined as the use of technology to measure, explain and/or predict sensory perception. The goal of this book is to illustrate to the reader the opportunities around digital sensory science as well as the challenges to be overcome. This book offers practical guidance to both researchers and practitioners of sensory science.

Cover image
Title page
Table of Contents
Copyright
List of contributors
Foreword
Chapter 1. Introduction
1.1 Introduction
1.2 Organisation and macro summary of content
1.3 Final words
Section 1: Setting the scene
Chapter 2. The emergence of digital technologies and their impact on sensory science
Abstract
2.1 The beginning
2.2 Photocopiers
2.3 Statistics unleashed
2.4 Temporal methods
2.5 Summary
2.6 Quo Vadis
References
Chapter 3. The arrival of digitisation in sensory research and its further development in the use of artificial intelligence
Abstract
3.1 Digitisation is already old
3.2 State-of-the-art sensory analysis
3.3 Digitised furniture for sensory evaluation
3.4 Room management – smart networks via KNX-control
3.5 High-performance sensory tables: intelligent, digitised and modular for sensory evaluation
3.6 The software
3.7 Performance characteristics of sensory analysis software
3.8 Target-oriented sensory analysis
3.9 Agile elements in sensory analysis
3.10 Flexibilisation of research
3.11 Artificial intelligence: how does it work?
3.12 Data warehouse – a fundamental prerequisite
3.13 Artificial intelligence: what can be expected from artificial intelligence in sensory analysis?
3.14 Conclusion
Section 2: How digital is creating new opportunities for sensory science
Chapter 4. Digital toolbox – ways of increasing efficiency in a descriptive panel
Abstract
4.1 Introduction
4.2 Excursus: descriptive analysis under Covid-19 restrictions
4.3 isiSensorySuite
4.4 Status Quo and a glimpse into the future
References
Chapter 5. ‘Hybridisation’ of physical and virtual environments in sensory design
Abstract
5.1 Introduction
5.2 Case studies – exemplification of hybridisation of physical and digital environments in concrete situations of sensory design at Danone
5.3 Conclusions
References
Chapter 6. Sensory evolution: deconstructing the user experience of products
Abstract
6.1 What kept us in the laboratory?
6.2 What is a product?
6.3 Kicked out of the laboratory
6.4 The paradigm shift: using digital sensory to meet the new industry challenges
6.5 Future for sensory scientists
6.6 What does it mean for young sensory scientists about to enter the digital sensory era?
Chapter 7. Using digital tools to understand individual differences in flavour perception which impact on food preferences
Abstract
7.1 Introduction
7.2 Differences in flavour perception
7.3 Implications of differences in flavour perception
7.4 Conclusions and future perspectives
References
Chapter 8. Sensory self-service – digitalisation of sensory central location testing
Abstract
8.1 Introduction
8.2 Digital project
8.3 Business case: a digital study-management platform
8.4 Status quo and a look into the future
References
Section 3: Digitalization in instrumental, neurological, psychological and behavioural methods: Current applications and opportunities
Chapter 9. Predicting sensory properties from chemical profiles, the ultimate flavour puzzle: a tale of interactions, receptors, mathematics and artificial intelligence
Abstract
9.1 Introduction
9.2 Computing strategies
9.3 Importance of data quality
9.4 Case histories
9.5 Conclusions and further perspectives
References
Chapter 10. Electronic noses and tongues: current trends and future needs
Abstract
10.1 Introduction
10.2 Machine learning methods for e-tongue and e-nose technologies
10.3 Case studies for e-tongue and e-nose applications in sensory evaluation
10.4 Future perspectives
10.5 Conclusion
References
Chapter 11. Leveraging neuro-behavioural tools to enhance sensory research
Abstract
11.1 Introduction
11.2 Digital neuro-behavioural methods
11.3 Future directions and challenges in digitalising neuro-behavioural research
References
Chapter 12. Emerging biometric methodologies for human behaviour measurement in applied sensory and consumer science
Abstract
12.1 Introduction
12.2 Research cases
12.3 Concluding remarks
Acknowledgements
References
Chapter 13. Added value of implicit measures in sensory and consumer science
Abstract
13.1 Introduction
13.2 The case studies
13.3 What are the learnings from these case studies?
13.4 The road towards user-friendly implicit measures that can be used at any place and at any time and by everybody
13.5 In conclusion and future perspectives
References
Section 4: Immersion technologies, context and sensory perception
Chapter 14. Using virtual reality as a context-enhancing technology in sensory science
Abstract
14.1 Introduction
14.2 Creating context through an immersive virtual reality environment: case studies with beef and chocolate
14.3 Discussion, conclusion and future perspectives
References
Chapter 15. Next-generation sensory and consumer science: data collection tools using digital technologies
Abstract
15.1 Introduction
15.2 Case study on virtual reality/augmented reality to capture sensory data
15.3 Future perspectives
15.4 Conclusions
References
Chapter 16. Multisensory immersive rooms: a mixed reality solution to overcome the limits of contexts studies
Abstract
16.1 Introduction
16.2 General principles of the multisensory immersive rooms
16.3 Technical description of a multisensory immersive room
16.4 Case study: on soft drinks in multisensory immersive contexts
16.5 Conclusions and future perspectives
Acknowledgements
References
Chapter 17. Voice-activated technology in sensory and consumer research: a new frontier
Abstract
17.1 Advent of voice-activated technology
17.2 A case study of smart-speaker in consumer research
References
Section 5: How to tell powerful digital sensory stories
Chapter 18. Shining through the smog: how to tell powerful, purposeful stories about sensory science in a world of digital overload
Abstract
18.1 Introduction
18.2 Information overload
18.3 Serious data, simply presented, really matters
18.4 The psychology of decision-making
18.5 The six Golden Rules of data storytelling
18.6 Conclusions and future perspectives
References
Further reading
Index

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J. Ben Lawlor

Jean A. McEwan

David Labbe