⦁Main Problem Being Addressed of face reading and video camera technology limits Technologies that detect consumers' emotions can help companies to reduce the amount of money waste on unsuccessful product launches by stopping products before they are launched. Methods can be accurately measured consumers' feelings and emotion for a food or beverage product irrespective of consumer's ability to accurately articulate those feelings are needed in order to generate more accurate food and beverage product testing results. These methods will be based on the measurement of human physiology-most likely facial expressions, but they reveal intentionally hidden or subconscious emotions. In addition, the method may be able to decide emotions: Such as happiness, sadness, surprise, fear, anger feeling when one youth person eats a food or drinks beverage product. The first aspect main problem concerns how face reading technology can be measured to predict consumer acceptance level of confectionery foods or soft drinks from their face expression in the short time more absolutely. However, this face reading technology can't be used to predict any consumer's individual enjoyable acceptance satisfactory level when who uses any manufacturer's products in the short time.So face reading technology can not be used to predict any consumer's emotion to reflect to use any product more easily. Thus, I shall recommend how to use video camera recording ethnographic research method to find what factors to influence the consumer who decides to buy the product to use and evaluate whose satisfactory level to use the product at home. I concern how to use video camera to predict consumer individual behavioral process to find why who choose to buy the kind of product to evaluate the most absolute emotion response to find whether who satisfies or doesn't satisfy to use the product. Also how to use face reading technology to measure different level sugar elements to add the confectionery foods to detect the consumer's emotion whether who likes or does not like to eat the kind of confectionery food.
I write this book aim to explain how and why whether artificial intelligence ( big data gathering tool) is better method to compare economic or statistics or psychological methods to predict consumer behavior.
This book concerns how to apply psychological and economic behavioral methods to predict customeremotion.
This book concerns how to apply psychological and economic behavioral methods to predict customeremotion.
*How constructive consumer choice process measures which attribute factor(s) can influence consumer chooses to buy any product or food in psychological view. *Main Problem Being Addressed The second aspect problem is judged whether ...
Can it be applied to predict consumer behaviors depending on any situations of only some situation? Finally, I believe that any readers can find answers to answer above these questions in this book.
Mark Lett 2(2):159–170 Beach R, Baker FW (2011) Why core standards must embrace media literacy education week (June 21). ... Sage Publications, Beverly Hills Berker T, Hartmann M, Punie Y, Ward K (2006) Domestication of media and ...
I write this book concerns how to apply psychological methods to solve education service to student psychological need challenges as well as how to apply psychological methods to solve consumption challenges for some enterprises.
This book researchs how to apply big dta gathering tool to predict retail and service industry consumer behavior.
I write this book concerns how to apply psychological methods to solve education service to student psychological need challenges as well as how to apply psychological methods to solve consumption challenges for some enterprises.
This book can provide sample industries to let students to learn how to behavioral economy method to predict consumer behaviors. This book divides part one and part two.