With the ever-cheaper digital equipment and the prevalent digital platforms such as Facebook and YouTube, more and more human behaviors and activities are digitalized in the form of images, videos, and audio. However, due to the information’s unstructured nature, there has been a lack of useful framework and tools that can help businesses to effectively leverage this information to improve their practices. As a result, businesses are missing out on the opportunities to use this information to gain better customer insights, understand customer preference, improve customer experience, discover unmet needs and optimize marketing effectiveness. In this monograph, the authors present an overview of audio and visual analytics and discuss how they can be used by marketers to improve business practices. This monograph first introduced a framework named Artificial Empathy (AE) to illustrate different contexts where the audio and/or visual information emitted by or presented to an individual are used to improve business decision making. Next, it presented a review of the cutting-edge techniques and methods used to mine valuable information and make useful inferences from the audio and visual data. Finally, it reviewed the use of A/V analytics in business practices and concluded with a discussion on the trends in applying audio and visual data analytics in business. This monograph aims to help readers understand how the new forms of rich data will affect the way we do business and gain insights into harnessing the power of audio, image, and video data to make useful inferences and improve business practices.
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21 April 2022
Research Article|
April 21 2022
Audio and Visual Analytics in Marketing and Artificial Empathy Available to Purchase
Shasha Lu;
Shasha Lu
Associate Professor of Marketing, Cambridge Judge Business School,
University of Cambridge
, UK
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Hye-Jin Kim;
Hye-Jin Kim
Assistant Professor of Marketing, School of Business and Technology Management, College of Business,
Korea Advanced Institute of Science and Technology (KAIST)
, South Korea
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Yinghui Zhou;
Yinghui Zhou
Assistant Professor of Marketing, College of Management,
Shenzhen University
, China
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Li Xiao;
Li Xiao
Associate Professor of Marketing, School of Management,
Fudan University
, China
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Min Ding
Min Ding
Bard Professor of Marketing at Smeal College of Business and the Affiliate Professor in the College of Information Sciences and Technology,
Pennsylvania State University
, USA
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Online ISSN: 1555-0761
Print ISSN: 1555-0753
© 2022 S. Lu et al.
2022
2022 S. Lu et al.
Licensed re-use rights only
Foundations and Trends in Marketing (2022) 16 (4): 422–493.
Citation
Lu S, Kim H, Zhou Y, Xiao L, Ding M (2022), "Audio and Visual Analytics in Marketing and Artificial Empathy". Foundations and Trends in Marketing, Vol. 16 No. 4 pp. 422–493, doi: https://doi.org/10.1561/1700000067
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