Talking To Machines: Personas And Behavioral Patterns In Gen AI Interactions

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Higher frequency of interaction significantly predicts increased levels of anthropomorphism in users.
Users frequently expressing emotions reported greater emotional self-efficacy in digital communication environments.
The qualitative phase uncovered various attributed personas such as assistant, tutor, and collaborator during interactions.
Variations in users' linguistic tone were influenced by their emotional state and the purpose of their interaction.

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Mixed methods reveal how personas and emotional expression influence user engagement with generative AI.

Mashael Yousef Almoqbel (2024) studied this question.

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