How do people experience the images created by generative artificial intelligence? An exploration of people's perceptions, appraisals, and emotions related to a Gen-AI text-to-image model and its creations

• We explore how people perceive 20 images generated by a Generative AI. • We highlight that people perceive the images as either prototypical or strange. • We describe the feelings of uncanniness that the Gen-AI images evoke. • We identify strategies performed by people to tame these unsettling feelings. • We point out that people need to (de)humanize the AI and make sense of its creations. Generative Artificial Intelligence (Gen-AI) has rapidly advanced in recent years, potentially producing enormous impacts on industries, societies, and individuals in the near future. In particular, Gen-AI text-to-image models allow people to easily create high-quality images possibly revolutionizing human creative practices. Despite their increasing use, however, the broader population's perceptions and understandings of Gen-AI-generated images remain understudied in the Human-Computer Interaction (HCI) community. This study investigates how individuals, including those unfamiliar with Gen-AI, perceive Gen-AI text-to-image (Stable Diffusion) outputs. Study findings reveal that participants appraise Gen-AI images based on their technical quality and fidelity in representing a subject, often experiencing them as either prototypical or strange: these experiences may raise awareness of societal biases and evoke unsettling feelings that extend to the Gen-AI itself. The study also uncovers several “relational” strategies that participants employ to cope with concerns related to Gen-AI, contributing to the understanding of reactions to uncanny technology and the (de)humanization of intelligent agents. Moreover, the study offers design suggestions on how to use the anthropomorphizing of the text-to-image model as design material, and the Gen-AI images as support for critical design sessions.

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Publication Details

Journal
International Journal of Human-Computer Studies
Published
2024-09-12
DOI
https://doi.org/10.1016/j.ijhcs.2024.103375
Citations
33
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
11.46
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article

How do people experience the images created by generative artificial intelligence? An exploration of people's perceptions, appraisals, and emotions related to a Gen-AI text-to-image model and its creations

Federico Torrielli, Chiara Di Lodovico, Luigi Di, Amon Rapp
33 citations
International Journal of Human-Computer Studies
AI in Service Interactions
11.46
article

How do people experience the images created by generative artificial intelligence? An exploration of people's perceptions, appraisals, and emotions related to a Gen-AI text-to-image model and its creations

Federico Torrielli, Chiara Di Lodovico, Luigi Di, Amon Rapp
article en
33 citations

Abstract

• We explore how people perceive 20 images generated by a Generative AI. • We highlight that people perceive the images as either prototypical or strange. • We describe the feelings of uncanniness that the Gen-AI images evoke. • We identify strategies performed by people to tame these unsettling feelings. • We point out that people need to (de)humanize the AI and make sense of its creations. Generative Artificial Intelligence (Gen-AI) has rapidly advanced in recent years, potentially producing enormous impacts on industries, societies, and individuals in the near future. In particular, Gen-AI text-to-image models allow people to easily create high-quality images possibly revolutionizing human creative practices. Despite their increasing use, however, the broader population's perceptions and understandings of Gen-AI-generated images remain understudied in the Human-Computer Interaction (HCI) community. This study investigates how individuals, including those unfamiliar with Gen-AI, perceive Gen-AI text-to-image (Stable Diffusion) outputs. Study findings reveal that participants appraise Gen-AI images based on their technical quality and fidelity in representing a subject, often experiencing them as either prototypical or strange: these experiences may raise awareness of societal biases and evoke unsettling feelings that extend to the Gen-AI itself. The study also uncovers several “relational” strategies that participants employ to cope with concerns related to Gen-AI, contributing to the understanding of reactions to uncanny technology and the (de)humanization of intelligent agents. Moreover, the study offers design suggestions on how to use the anthropomorphizing of the text-to-image model as design material, and the Gen-AI images as support for critical design sessions.

International Journal of Human-Computer StudiesVol. 193
University of Turin (IT), Politecnico di Milano (IT)
Openalex Percentile: Top 1%
AI in Service Interactions
11.46
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