Cross-Cultural Differences in Emotional Response to Visual Information

The way different cultures perceive AI-generated images can be seen by studying photos from diverse cultural contexts. Curiously, academics were more sceptical of AI's output, whereas respondents from the industry usually gave favourable comments. People involved in industry preferred images made by humans. To understand fully and fairly what people in diverse cultures think about AI-generated images, one must engage with the subtle features of visual cognition, variations in attention, and the way artificial intelligence has altered human existence. Such an understanding may guide how AI technology is integrated into a wide array of areas in a manner appropriate to and respectful of local cultures. A total of 10 participants, aged 18–35, represented varying cultural backgrounds in this study. The study employed a qualitative approach. It focuses on conducting in-depth interviews and observational analysis with participants responding to AI-generated visual stimuli. The research applied a mixed methods design to objectively encompass subjective experiences and perceptions of how AI-generated picture stories were received in different cultural settings. This study underscores how cultural power shapes people's feelings about AI. The notion that cultures, perception and technology can come together convolutely is rather new. Still, it is central to making AI technology genuinely successful and appropriate for different aspects people are oriented toward. This research used a mixed method design to cover the subjective experiences and perceptions of how AI-generated picture stories were seen in other contexts, using a photo-elicitation method for different cultures. This study supports the issue where cultural power influences how a person perceives AI. This was a relatively new idea—that cultures, perception, and technology could all somehow fold in on themselves to inform one another—but it is at the very core of what will help to make AI technology as successful as it should be and appropriate for the dimensions of existence that humans experience. AbstractThis study emphasises the necessity of multiple mechanisms for deploying AI technology along multicultural borders and seeks to deepen our understanding of interlinked human–AI dynamics across diverse cultural contexts.