[Paper] Measurement of advertisement effect based on multimodal emotional responses considering personality
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- Masui Kenta
- Graduate School of Science and Engineering, Chiba University
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- Okada Genki
- Graduate School of Advanced Integration Science, Chiba University
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- Tsumura Norimichi
- Graduate School of Science and Engineering, Chiba University
Abstract
<p>The market size of online video advertising is expanding rapidly along with the spread of smartphones and social media. In this study, we estimate advertising effectiveness in the natural environment using online data collection and the remote measurement of webcam facial expressions and physiological responses. We collected 4, 108 videos of the faces of 411 Japanese people who were watching the video advertisement in their natural environment via the Internet. Facial expression and physiological responses such as heart rate and gaze were remotely measured by analyzing facial videos. We found that the accuracies of ad liking and purchase intent prediction are better when various acquired features are combined and machine learning is used than when only single-mode features are used. In addition, we aim to improve prediction accuracy by clustering the personality of the subjects and designing an estimation model for each personality.</p>
Journal
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- ITE Transactions on Media Technology and Applications
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ITE Transactions on Media Technology and Applications 8 (1), 49-59, 2020
The Institute of Image Information and Television Engineers
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Details 詳細情報について
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- CRID
- 1390002184860763008
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- NII Article ID
- 130007779389
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- DOI
- 10.3169/mta.8.49
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- ISSN
- 21867364
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed