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dc.contributor.authorLu, S
dc.contributor.authorKim, H-J
dc.contributor.authorZhou, Y
dc.contributor.authorXiao, L
dc.contributor.authorDing, M
dc.date.accessioned2022-05-18T23:30:28Z
dc.date.available2022-05-18T23:30:28Z
dc.date.issued2022-04
dc.identifier.issn1555-0753
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/337288
dc.description.abstractWith 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.
dc.publisherNow Publishers
dc.rightsAll Rights Reserved
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserved
dc.titleAudio and visual analytics in marketing and artificial empathy
dc.typeArticle
dc.publisher.departmentJudge Business School
dc.date.updated2022-05-17T14:50:59Z
prism.publicationNameFoundations and Trends in Marketing
dc.identifier.doi10.17863/CAM.84703
dcterms.dateAccepted2022-02-18
rioxxterms.versionofrecord10.1561/1700000067
rioxxterms.versionAM
dc.contributor.orcidLu, Shasha [0000-0002-9400-5851]
dc.identifier.eissn1555-0761
rioxxterms.typeJournal Article/Review
cam.issuedOnline2022-04-21
cam.orpheus.success2022-05-18 - Embargo set during processing via Fast-track
cam.depositDate2022-05-17
pubs.licence-identifierapollo-deposit-licence-2-1
pubs.licence-display-nameApollo Repository Deposit Licence Agreement
rioxxterms.freetoread.startdate2022-10-21


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