Journal of Sensory Studies · 2025 · 11 citations · 32 references
AgricultureFood SciencePsychologyComputer VisionSensory EvaluationSocial PerceptionAppearance EvaluationConsumer Food ChoiceConsumer WantsFood ChoicesFood ConsumptionFood QualityConsumer Attitudes Toward FoodConsumer Food Decision-makingConsumer Food PerceptionsConsumer Food PreferencesConsumer Perception AnalysisEmotional Response EvaluationEveryday WorldFood Imagery
ABSTRACT Food images generated using artificial intelligence (AI) are becoming more common in research, and in the everyday world. The objective of this study was to identify how consumers' perception of a food image (AI‐generated or a genuine image), influenced their perception and emotional response to the food. Participants ( n = 154) were asked to look at ten different images (five were AI‐generated and five were genuine (referred to as standard images)) of food items common to those living in Atlantic Canada. The participants were asked to evaluate their willingness to consume, the healthiness, the naturalness, the appeal, and their perception of AI use for each image. The study also assessed their emotional response to the images. The results found the participants were able to identify when an image was created using an AI generator. The participants' perception of AI was negatively correlated to participants' willingness to consume the food product, as well as their perception of the healthiness, naturalness, and appeal of the product. Furthermore, the participants' emotional response was different when evaluating AI generated images compared to standard images. The results highlight the use of AI‐generated images in surveys can influence the participants perception, but this topic needs to be further explored in future studies.
32
The Uncanny Valley [From the Field]
Masahiro Mori, Karl F. MacDorman, Norri Kageki · IEEE Robotics & Automation Magazine · 2012 · 3.2K citations
Consumers and Artificial Intelligence: An Experiential Perspective
Stefano Puntoni, Rebecca Walker Reczek, Markus Giesler et al. · Journal of Marketing · 2020 · 1K citations · Full text