Neurophysiological Foundations and Effects of Contemporary Digital Technologies

Éditeurs invités

• René Riedl, University of Applied Sciences Upper Austria & Johannes Kepler University Linz
• Jan vom Brocke, University of Münster
• Jella Pfeiffer, Karlsruhe Institute of Technology
• Robert Gleasure, Copenhagen Business School

Synthèse

Synthèse non disponible. Consulter l'appel directement sur le site de l'éditeur.

Thèmes proposés

• How does sustained interaction with AI-enabled systems (e.g., LLMs) and other advanced digital tools reshape neural networks associated with language, reasoning, and memory?
• Does reliance on AI systems and other forms of automation/digital decision support alter attentional control, working memory, metacognition, or problem-solving processes at the neurophysiological and behavioral levels?
• What are the implications of digitally augmented cognition for neuroplasticity, skill acquisition, and expertise development over time?
• How can integrated neurophysiological and behavioral measures provide a fuller picture of technology-mediated cognitive processes?
• How do individuals' brains respond to empathetic or anthropomorphic cues exhibited by conversational AI and other interactive systems?
• What neurophysiological correlates underlie trust, reliance, distrust, or skepticism toward AI systems and other algorithmic or platform-based systems?
• How does emotional regulation change when decision-making is mediated by AI support, algorithmic decision aids, or digital nudges?
• What are the neurophysiological mechanisms of stress, fatigue, or overload in contexts of AI-assisted work and other digitally intensified work settings?
• How does technological mediation in team collaboration influence the neurophysiological foundations of social coordination, empathy, and shared attention?
• What neural mechanisms underlie shifts in authority, leadership, and influence when AI becomes a co-decision-maker?
• How do cultural differences modulate neurophysiological responses to AI and other digitally mediated collaboration settings?
• How do gender, age, or personality differences modulate neurophysiological responses to IS artifacts?
• How might AI-driven systems and other algorithmic/persuasive designs reinforce or mitigate cognitive biases?
• What neural signatures accompany ethical dilemmas and moral decision-making in AI-mediated contexts and broader digital governance settings?
• How does long-term use of AI and other digitally intensive work systems shape neurophysiological well-being, stress, or mental health at the workplace?
• How can neurophysiological insights inform the design of AI systems and other digital systems that are more intuitive and aligned with human cognitive limits?
• What are the neurophysiological underpinnings of productivity, efficiency, or value creation in digitally mediated economic interactions?
• How can genetic and neurophysiological approaches together explain individual differences in the adoption and use of digital systems?
• Which neurophysiological tools are best suited for investigating contemporary IS phenomena?
• How can hybrid approaches combining neurophysiology with computational methods enrich IS theory development?
• How can multi-level research designs integrate genetic, neurophysiological, behavioral, self-report, and organizational data to address IS phenomena more holistically?

Éditeurs associés