Human-AI Interaction in Intelligent Workplaces: Behaviour, Trust, Experience, and Human-Centered Design

Éditeurs invités

• Muhammad Imran Rasheed, University of Surrey
• Barbara Rita Barricelli, Università degli Studi di Brescia
• Waseem Ul Hameed, Universiti Utara Malaysia

Synthèse

This special issue examines how artificial intelligence systems are transforming workplace interactions, employee behavior, and organizational dynamics. While prior research has focused on AI adoption and performance outcomes, this collection addresses the human-centered dimensions of AI at work, including how employees develop trust in intelligent systems, experience AI-mediated processes, adapt their behaviors, and navigate issues such as technostress, autonomy, and cognitive load.

The special issue prioritizes behavioral, cognitive, and psychological perspectives on human-AI interaction in organizational settings. It seeks contributions that explore employee experiences with intelligent technologies, design of user-centered AI systems, transparency mechanisms, and the creation of psychologically sustainable digital work environments. The collection welcomes empirical, theoretical, and design-oriented research across quantitative, qualitative, and mixed-method approaches.

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Thèmes proposés

• Employee interaction with AI-enabled systems
• Human reliance, overreliance, and resistance toward AI
• Behavioral adaptation to intelligent technologies
• Human-AI collaboration and hybrid decision-making
• Trust formation in intelligent systems
• Algorithmic transparency and explainable AI
• Employee perceptions of AI fairness and accountability
• Behavioral responses to opaque decision systems
• Technostress, digital exhaustion, and AI fatigue
• Cognitive overload and information processing under AI systems
• AI dependency and employee wellbeing
• Digital distraction and attention fragmentation
• AI-supported autonomy and employee empowerment
• Algorithmic management and behavioral control
• Digital surveillance and monitoring technologies
• Behavioral consequences of automated performance systems
• Ethical design of workplace AI systems
• Human-centered intelligent systems
• Responsible AI implementation in organizations
• Designing psychologically sustainable digital work environments
• AI-enabled learning systems and digital upskilling
• Employee agility and adaptability in AI-enabled workplaces
• Behavioral implications of reskilling and task transformation
• Human learning behavior in technology-mediated contexts
• AI-supported teamwork and collaboration
• Virtual collaboration and intelligent communication systems
• Social interaction patterns in AI-mediated environments
• Team trust and coordination under intelligent systems
• AI in healthcare, hospitality, education, finance, and public services
• Gig work, platform labor, and digital employment systems
• Cross-cultural and cross-national comparisons
• Remote and hybrid work environments
• User experience (UX) of workplace AI systems
• Human-centered design of intelligent workplace technologies
• Conversational AI and intelligent assistants at work
• Adaptive and personalized workplace interfaces
• AI usability and user acceptance in organizational settings
• Interaction design for human-AI collaboration
• Human oversight and human-in-the-loop systems
• Trust calibration in intelligent systems
• Employee engagement with AI-enabled technologies
• Interface design for responsible and ethical AI use
• User perceptions of agency, control, and autonomy in AI-mediated work environments