Can Technology Predict Consumer Emotion

John Lok

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English

Writat
06 September 2023

Behavioural economics

Summary
Details

Introduction This book consists three sections: This three parts concern my three different psychological and technological methods to explain how to predict consumer emotion to achieve to reduce the risk to avoid to invent the new products or foods to sell unsuccessfully. First part concerns how to use face reading technology predicts consumer emotion to predict how to do the acceptable ingradients to produce foods to let them to feel more enjoyable to eat sweet foods or drink soft drinking as well as how to use video camera to investigate to predict customer emotion to find what factors had attracted them to choose to buy the manufacturers' products to use and judge whether how to increase your product more attractive to win your competitors. The second section concerns how to find both what the worst attributed factor(s) had influenced the consumers to be caused to decide not to choose to buy your product as well as what the best attributed factor(s) had influenced the consumers to be caused to decide to buy your product in constructive choice process. I shall indicate how manufacturers can analyze to judge whether what the best and worst attributed factor(s) are during every consumer chooses to buy which kind of product or food in constructive choice process. The final third section concerns how to judge whether the online sale channel is more suitable or is not more suitable to compare to the visiting shop sale channel to let the product manufacturers to decide to choose to concentrate on selling their products from either of these two sale channels. Moreover, I shall indicate how to solve their website weaknesses to attract customers

By: John Lok
Imprint: Writat
Dimensions: Height: 216mm, Width: 140mm, Spine: 3mm
Weight: 82g
ISBN: 9789357902861
ISBN 10: 9357902864
Pages: 56
Publication Date: 06 September 2023
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active