Exploring User Perception and Trust in Generative AI Applications: A Primary Study among Indian Consumers
DOI:
https://doi.org/10.5281/zenodo.16791916Keywords:
generative AI, user perception, trust, indian consumers, AI ethics, human-computer interaction, chatgpt, AI adoption, digital trust, AI awarenessAbstract
The rapid proliferation of generative AI technologies—such as ChatGPT, DALL·E, and other language or image generation tools—has brought forth new dimensions in human-computer interaction. As these technologies become increasingly embedded in daily life, understanding user perception and trust becomes critical, especially in a diverse and rapidly digitizing country like India. This study aims to explore how Indian consumers perceive generative AI applications, assess the level of trust they place in such tools, and identify factors influencing their usage decisions. Using a structured questionnaire and a sample of 400 respondents across varied demographics, the research examines users' awareness, perceived reliability, ethical concerns, and overall trust in generative AI. The findings indicate that while there is a growing curiosity and adoption, trust is significantly influenced by the transparency of AI processes, data privacy concerns, and the perceived authenticity of AI-generated content. This study offers valuable insights for developers, policymakers, and marketers seeking to foster responsible and user-aligned AI integration.
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