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Affective computational advertising based on perceptual metrics

Narayana, S and Jain, S and Katti, H and Goecke, R and Subramanian, R (2023) Affective computational advertising based on perceptual metrics. [Book Chapter]

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Official URL: https://doi.org/10.1088/978-0-7503-5182-9ch4


We present ACAD, an Affective Computational ADvertising framework expressly derived from perceptual metrics. Differing from advertising methods that either ignore the emotional nature of (most) programmes and advertisements (ads), or are based on axiomatic rules, our framework incorporates findings from a user study examining the effect of within-programme ad placements on ad perception. A linear programme formulation seeking to achieve (a) genuine ad assessments, and (b) maximal ad recall is then proposed. The effectiveness of the framework is confirmed via a validation user study, where ACAD-induced ad placements are found to be optimal with respect to objectives (a) and (b) against competing approaches. © IOP Publishing Ltd 2023. All rights reserved.

Item Type: Book Chapter
Publication: Affective Computing in Healthcare: Applications based on biosignals and artificial intelligence
Publisher: Institute of Physics Publishing
Additional Information: The copyright for this article belongs to the Authors.
Department/Centre: Division of Biological Sciences > Centre for Neuroscience
Date Deposited: 08 Nov 2023 10:04
Last Modified: 08 Nov 2023 10:04
URI: https://eprints.iisc.ac.in/id/eprint/83043

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