The evolving human–AI relationship: profiles, trajectories, reciprocal dynamics, and outcomes

Éditeurs invités

• Vasileios Stavropoulos, RMIT University
• Nafsika Antoniadou, University of Ioannina
• Benjamin Tag, UNSW Sydney
• Taylor Brown, RMIT University
• Daniel Zarate, RMIT University

Synthèse

The special issue examines how people engage with and adapt to AI systems over time, moving beyond simple adoption metrics to understand the diverse ways users interact with AI technologies. It emphasizes that human-AI interaction involves reciprocal processes where users and systems mutually influence each other through repeated interactions, potentially creating feedback loops that reshape both human behaviour and AI responses.

The collection seeks interdisciplinary research on interaction profiles, trajectories, and dynamics across different users, technologies, and contexts. It welcomes empirical studies, longitudinal investigations, and theoretical contributions that explore users' motivations, how AI design features shape engagement patterns, and the consequences of different interaction trajectories for cognitive, social, occupational, educational, and psychological wellbeing outcomes.

Thèmes proposés

• User profiles and interaction typologies
• AI as tool, assistant, collaborator, advisor, tutor, creative partner, or social agent
• Reliance, verification, and cognitive offloading
• Instrumental, educational, occupational, and creative motives
• Appropriation and integration of AI into everyday practices
• Longitudinal trajectories and transitions between interaction profiles
• Trust, reliance, habitual use, and discontinuation
• Human–AI feedback loops and reciprocal adaptation
• Personalisation, anthropomorphism, and social presence
• Responsiveness, recommendation, and adaptive behaviour
• Human-centred design and human-in-the-loop interaction
• Interpretable and explainable human–AI interaction
• Transparency, trust calibration, and agency
• Cognitive, behavioural, educational, and occupational outcomes
• Wellbeing, digital strain, and problematic engagement
• Person-centred and longitudinal research designs
• Interaction logs and digital traces analysis
• Conceptual and theoretical models of human-AI interaction