Image generated with Nightcafe. Prompt: "A neverending texture of fashion clothing."
Add items, whether large or small, in a snap using RAISE and image generative AI.
This is a Web version of the Companion Appendix for RAISE: A New Method to Develop Experimental Stimuli for Advertising Research with Image Generative Artificial Intelligence, developed by César Zamudio, Jamie Grigsby, and Meg Michelsen, and published in the Journal of Advertising. Questions? Feel free to contact us!
In certain contexts, adding or removing elements from a visual stimulus might be part of an experimental manipulation. For example, Liang, Wu, Su, and Jin (2023) manipulate sexual appeal (Appeal: sexual, non-sexual) by portraying a woman on a bikini and the same woman fully dressed. Experimental stimuli such as these can be constructed using RAISE as well. First, the initial prompt constructs Stimulus A, the woman with fewer clothes, with the intention to then use further prompts to “dress” this basic stimulus with further prompts. This operates in the same way as other examples discussed in the AI Ad Design Lab. The initial prompt is as follows:
After evaluating multiple candidate stimuli, the image generative AI tool creates Stimulus A, a woman satisfying the conditions noted in the prompt. Afterwards, by manipulating the initial prompt, and taking Stimulus A as input, Stimulus B is created:
Two points are important to emphasize. First, note that the image strength to create Stimulus B is very low (5%). Hence, depending on the image generative AI tool, a suitable Stimulus B might be generated only after several rounds of candidate stimuli generation. Second, generating stimuli with men or women with few pieces of clothing might be categorized as unsafe or inappropriate by certain image generative AI tools, resulting in an inability to generate the stimuli. As such, different image generative AI tools might need to be tested when developing stimuli of this nature.
Below is a handy summary card outlining the process you just learned:
Below is a handy summary card outlining the process you just learned:
Ready to learn more?
Feel free to browse our gallery of examples with full tutorials, and the technical details section to learn the finer points of generating visual experimental stimuli using the RAISE methodology.