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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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