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From Data to Emotion: Synergies of AI and Event Psychology in Events and Venue Management

In: Workbook Location-Management

Author

Listed:
  • Steffen Ronft

    (Duale Hochschule Baden-Württemberg)

Abstract

The convergence of artificial intelligence (AI) and event psychology marks a transformative shift in venue management, embedding event experiences within the emotional and psychological dynamics of human interaction. This integration provides unprecedented opportunities to design and execute events that resonate emotionally, enhancing their overall impact. By understanding human behaviors through psychological principles and creating engaging environments, AI-driven insights enable deeper audience connections. Tools that analyze sentiment, recognize emotions and predict behaviors allow event planners to transcend logistical planning, crafting atmospheres that foster emotional engagement and loyalty. The psychological aspects of venue management become critical in improving spatial design, influencing attendee perceptions, and ensuring emotional fulfilment through personalized contexts. Aligning elements such as lighting, sound, and decor with psychological insights, AI helps create environments catering to attendees’ needs, enhancing satisfaction and fostering a stimulating atmosphere. Ethical deployment of these technologies ensures transparency and inclusivity, maintaining trust and mitigating biases. In summary, the journey from data to emotion, facilitated by AI and psychology, presents a promising future for venue management. By focusing on psychological aspects, organizers can unlock AI’s potential, delivering experiences that are innovative, human, and emotionally resonant, revolutionizing event conception and engagement.

Suggested Citation

  • Steffen Ronft, 2025. "From Data to Emotion: Synergies of AI and Event Psychology in Events and Venue Management," Springer Books, in: Stefan Luppold & Kim Werner (ed.), Workbook Location-Management, pages 357-370, Springer.
  • Handle: RePEc:spr:sprchp:978-3-658-48469-9_27
    DOI: 10.1007/978-3-658-48469-9_27
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