Emerging biometric methodologies for human behaviour measurement in applied sensory and consumer science

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

Standard

Emerging biometric methodologies for human behaviour measurement in applied sensory and consumer science. / Peng-Li, Danni; Wang, Qian Janice; Byrne, Derek Victor.

Digital Sensory Science: Applications in New Product Development. ed. / J. Ben. Lawlor; David Labbe; Jean A. McEwan. Elsevier, 2023. p. 157-190.

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

Harvard

Peng-Li, D, Wang, QJ & Byrne, DV 2023, Emerging biometric methodologies for human behaviour measurement in applied sensory and consumer science. in JB Lawlor, D Labbe & JA McEwan (eds), Digital Sensory Science: Applications in New Product Development. Elsevier, pp. 157-190. https://doi.org/10.1016/B978-0-323-95225-5.00012-2

APA

Peng-Li, D., Wang, Q. J., & Byrne, D. V. (2023). Emerging biometric methodologies for human behaviour measurement in applied sensory and consumer science. In J. B. Lawlor, D. Labbe, & J. A. McEwan (Eds.), Digital Sensory Science: Applications in New Product Development (pp. 157-190). Elsevier. https://doi.org/10.1016/B978-0-323-95225-5.00012-2

Vancouver

Peng-Li D, Wang QJ, Byrne DV. Emerging biometric methodologies for human behaviour measurement in applied sensory and consumer science. In Lawlor JB, Labbe D, McEwan JA, editors, Digital Sensory Science: Applications in New Product Development. Elsevier. 2023. p. 157-190 https://doi.org/10.1016/B978-0-323-95225-5.00012-2

Author

Peng-Li, Danni ; Wang, Qian Janice ; Byrne, Derek Victor. / Emerging biometric methodologies for human behaviour measurement in applied sensory and consumer science. Digital Sensory Science: Applications in New Product Development. editor / J. Ben. Lawlor ; David Labbe ; Jean A. McEwan. Elsevier, 2023. pp. 157-190

Bibtex

@inbook{17c208909a1a4bbf9b0aee01334de3bb,

title = "Emerging biometric methodologies for human behaviour measurement in applied sensory and consumer science",

abstract = "This chapter covers some of the most popular emerging technologies used for measuring human behaviour in applied sensory and consumer science. Here, we focus on eye-tracking (ET) technology, electrodermal activity (EDA) or skin conductance, facial expression analysis (FEA) and electroencephalography (EEG), all of which can be employed to explore the underlying and at times unconscious processes of consumer behaviour. We walk through the methods traditionally used in sensory and consumer science and explain why, in isolation, they are incomplete. We provide insights into the basic principles of the different biometric technologies in focus, including objective quantification of attentional, emotional and neural correlates of consumer behaviour and food choice. We introduce state-of-the-art consumer research examples that utilise these biometric tools. Finally, we highlight some of the future potential applications in sensory and consumer science that these emerging technologies enable.",

keywords = "biometric measures, Biosensors, consumer behaviour, consumer sensory research, food choice, human behaviour, implicit methods, neurophysiology, physiological psychology, psychophysiology",

author = "Danni Peng-Li and Wang, {Qian Janice} and Byrne, {Derek Victor}",

year = "2023",

doi = "10.1016/B978-0-323-95225-5.00012-2",

language = "English",

isbn = "9780323952262",

pages = "157--190",

editor = "Lawlor, {J. Ben.} and David Labbe and McEwan, {Jean A.}",

booktitle = "Digital Sensory Science",

publisher = "Elsevier",

}

RIS

TY - CHAP

T1 - Emerging biometric methodologies for human behaviour measurement in applied sensory and consumer science

AU - Peng-Li, Danni

AU - Wang, Qian Janice

AU - Byrne, Derek Victor

PY - 2023

Y1 - 2023

N2 - This chapter covers some of the most popular emerging technologies used for measuring human behaviour in applied sensory and consumer science. Here, we focus on eye-tracking (ET) technology, electrodermal activity (EDA) or skin conductance, facial expression analysis (FEA) and electroencephalography (EEG), all of which can be employed to explore the underlying and at times unconscious processes of consumer behaviour. We walk through the methods traditionally used in sensory and consumer science and explain why, in isolation, they are incomplete. We provide insights into the basic principles of the different biometric technologies in focus, including objective quantification of attentional, emotional and neural correlates of consumer behaviour and food choice. We introduce state-of-the-art consumer research examples that utilise these biometric tools. Finally, we highlight some of the future potential applications in sensory and consumer science that these emerging technologies enable.

AB - This chapter covers some of the most popular emerging technologies used for measuring human behaviour in applied sensory and consumer science. Here, we focus on eye-tracking (ET) technology, electrodermal activity (EDA) or skin conductance, facial expression analysis (FEA) and electroencephalography (EEG), all of which can be employed to explore the underlying and at times unconscious processes of consumer behaviour. We walk through the methods traditionally used in sensory and consumer science and explain why, in isolation, they are incomplete. We provide insights into the basic principles of the different biometric technologies in focus, including objective quantification of attentional, emotional and neural correlates of consumer behaviour and food choice. We introduce state-of-the-art consumer research examples that utilise these biometric tools. Finally, we highlight some of the future potential applications in sensory and consumer science that these emerging technologies enable.

KW - biometric measures

KW - Biosensors

KW - consumer behaviour

KW - consumer sensory research

KW - food choice

KW - human behaviour

KW - implicit methods

KW - neurophysiology

KW - physiological psychology

KW - psychophysiology

U2 - 10.1016/B978-0-323-95225-5.00012-2

DO - 10.1016/B978-0-323-95225-5.00012-2

M3 - Book chapter

AN - SCOPUS:85176865681

SN - 9780323952262

SP - 157

EP - 190

BT - Digital Sensory Science

A2 - Lawlor, J. Ben.

A2 - Labbe, David

A2 - McEwan, Jean A.

PB - Elsevier

ER -

ID: 374970911

Forskning