Foundations and Trends (R) in Marketing
1 total work
Audio and Visual Analytics in Marketing and Artificial Empathy
by Shasha Lu, Hye-Jin Kim, Yinghui Zhou, Li Xiao, and Min Ding
Published 21 April 2022
Audio and Visual Analytics in Marketing addresses questions around the application and use of audio/visual data analytics for business decision making in the post-digital economy. It does so by: (1) developing a framework for understanding the internal states of individuals based on audio/visual signals and incorporating works in the domain of audio/visual (A/V) data analytics into marketing research in order to identify future research opportunities; (2) providing an overview of methodologies that are commonly used in conducting research with A/V data; (3) providing a review of A/V analytics-based research in various business contexts; and (4) reviewing the business practices using A/V analytics and identifying the future trends in both research and business applications.
The rest of the monograph is organized as follows: The authors first propose a framework for A/V data-based research in the business domain and discuss how A/V data analytics can be used to support business decision making in various contexts. They then provide an overview of the key techniques and tools used in A/V data analytics and discuss the procedures and key methodological questions. Finally, they discuss how the A/V analytics has been used in business practices and its trend and future development.
The rest of the monograph is organized as follows: The authors first propose a framework for A/V data-based research in the business domain and discuss how A/V data analytics can be used to support business decision making in various contexts. They then provide an overview of the key techniques and tools used in A/V data analytics and discuss the procedures and key methodological questions. Finally, they discuss how the A/V analytics has been used in business practices and its trend and future development.