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Effectiveness of Alternative Approaches to Menu Labeling in
Ontario Restaurants: An Eye Tracking Analysis
by
Yeyang Zhang
A Thesis
presented to
The University of Guelph
In partial fulfilment of requirements
for the degree of
Master of Science
in
Food, Agriculture and Resource Economics
Guelph, Ontario, Canada
© Yeyang Zhang, May 2020
ABSTRACT
EFFECTIVENESS OF ALTERNATIVE APPROACHES TO MENU LABELING
IN ONTARIO RESTAURANTS: AN EYE TRACKING ANALYSIS
Yeyang Zhang Advisors:
University of Guelph, 2020 Dr. Mike von Massow
Dr. Yu Na Lee
This research examines whether consumers observe and respond to the nutritional
information on menu labels in Canada. It uses eye tracking technology to evaluate the
effectiveness of the Health Menu Choices Act. We created an experiment to estimate participant
responses to menu labels that would meet the requirements of the Act. We also evaluated
alternatives menu labeling methods include percent Daily Value (%DV) of calories label, Traffic
Light (TL) label, and Physical Activity Calorie Equivalent label. The results find that the TL
label brought the most considerable visual attention. Percent DV labels affected the Canadian
consumer the most as compared to other three labeling schemes, and significantly reduced total
calories ordered by participants. Our study suggests that nutrition information label does have
impacts on ordering fewer calories when consumers are familiar with the format of labels and
nutrition information labels on the menu helped consumers to improve their food decisions.
iii
ACKNOWLEDGEMENTS
For sharing their knowledge and expertise, opening the great opportunity to this field of
research that I have dreamed about since undergraduate study, I would like to express my deep
gratitude and respect to my co-advisors, Dr. Mike von Massow and Dr. Yu Na Lee. Their
expertise and enthusiasm for research were motivational and contributed to my development as a
researcher. I would also like to thank the other members of my committee for their support and
motivation.
I would like to thank my peers, Andrew Bayham, Laura Stortz, Lauren Sirrs, Benjamin
Auld, Fuzhen Huang, Elsie Richmond, Yida Zhang, and Jenna Holtz (not in particular order),
who were amazing colleagues and friends to work with and helped me through my experiment. I
would also like to thank all faculties, staffs, and the rest of my peers who make me laugh and to
be strong after a long working day. I will never forget these past two years, and I am fortunate to
have encountered a group of warm and reliable people along the way. With these people, we
made the FARE a family.
I would like to acknowledge the full funded scholarship and financial support received
from the Ontario Ministry of Agriculture, Food and Rural Affairs.
This research could not have been possible without the encouragement and love from my
parents, family and friends. Last but not least, dedicated to the memory of my grandma, who did
not need me to be successful but always wanted me to be happy in my life.
iv
TABLE OF CONTENTS
Abstract ........................................................................................................................................... ii
Acknowledgements ........................................................................................................................ iii
Table of Contents ........................................................................................................................... iv
List of Tables ................................................................................................................................ vii
List of Figures .............................................................................................................................. viii
List of Appendices ......................................................................................................................... ix
1 Introduction ............................................................................................................................. 1
1.1 Background ....................................................................................................................... 1
1.2 Relevance and Motivation ................................................................................................ 4
1.3 Economic Research Problem ............................................................................................ 5
1.4 Purpose and Objectives ..................................................................................................... 5
1.5 Thesis Organization .......................................................................................................... 7
2 Literature Review.................................................................................................................... 8
2.1 The Obesity Pandemic and Healthy Diet .......................................................................... 8
2.2 Background on Nutrition Labeling ................................................................................. 10
2.3 Percent Daily Value Labeling ......................................................................................... 15
2.4 Traffic Light Labeling..................................................................................................... 17
2.5 Physical Activity Labeling .............................................................................................. 20
2.6 The Nutrition Information on Restaurant Menus............................................................ 22
2.7 Eye Tracking Technology ............................................................................................... 26
2.8 Eye Tracking Technology in Consumer Research .......................................................... 29
2.9 Research Gap .................................................................................................................. 32
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