In the process of using generative artificial intelligence,users often experience information anxiety,yet the mechanisms behind this phenomenon remain underexplored.This study investigates information anxiety in the context of using a prominent representative of generative AI,ChatGPT.Drawing on the grounded theory research paradigm,we conducted a coding analysis of 28 interview transcripts and 6 online sources to explore typical manifestations,influencing factors,and resulting consequences of information anxiety in ChatGPT usage.A theoretical model of the mechanisms underlying information anxiety in ChatGPT usage was developed.Find-ings reveal that typical manifestations of information anxiety include skepticism about authenticity,concerns about risk,and a sense of confusion.Influencing factors encompass personal,technological,informational,and social dimensions,leading to consequences such as increased need for verification,decision-making difficulties,and reduced usage.1 fig.5 tabs.60 refs.
维普
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