PsychoBit 2025

SPECIAL EVENT

As technology continues to evolve, its influence on psychological research, evaluation, assessment, and intervention grows exponentially.

PsychoBit 2025 is dedicated to exploring the integration of cutting-edge technologies - including augmented and virtual reality, biosensors, large language models (LLMs), machine learning, and robotics - into psychological research and practice.

Key topics include, but are not limited to:

• Immersive environments for psychological assessment and therapy
• Behavioral and psychophysiological data analysis
• Biofeedback applications for mental health and well-being
• Advanced AI algorithms for psychological data analysis and diagnostics
• Applications of robotics (e.g., social robotics, educational robotics)

This special event aims to promote interdisciplinary collaboration between psychology and computational sciences focusing on empirical studies, theoretical advancements, and innovative applications that enhance psychological evaluation, assessment, and therapeutic interventions.

Nicola Milano

University of Naples “Federico II”, Italy

• nicola.milano@unina.it

Maria Luongo

University of Naples “Federico II”, Italy

• maria.luongo@unina.it

Monica Casella

University of Naples “Federico II”, Italy

• monica.casella@unina.it

Access to the PsychoBit event is free for IEEE MetroXRAINE attendees.

Registration Fee includes:

• Publication fee for ONE accepted paper;
• Access to PsychoBit Event;
• Workshop kit;
• Coffee Break;
• Lunch Ticket for ONE day.

Dr. Nicola Milano, PhD – is a researcher in Psychometrics at University of Naples Federico II. He got a master’s degree in physics at University of Naples Federico II and a PhD in robotics and neural system at University of Plymouth. He is member of the Natural and Artificial Cognition Laboratory “Orazio Miglino” and his main interest concerns: embodied agents, unsupervised learning and machine learning application to psychometrics.

Miss. Maria Luongo is a PhD student in artificial intelligence at the University of Naples Federico II. She has a background in psychology and is currently a member of the Natural and Artificial Cognition Laboratory “Orazio Miglino”. Her research is centered on creating new AI solutions to improve diagnostic accuracy and developing simulated models to investigate spatial cognition in virtual environments.

Miss. Monica Casella is a PhD student in Mind, Gender, and Language at the University of Naples Federico II. She holds a Master's Degree in Psychology and is currently a member of the Natural and Artificial Cognition Laboratory “Orazio Miglino”. Her research interest primarily focuses on utilizing Machine Learning techniques, specifically Artificial Neural Networks, to enhance the development and validation of psychometric tests within the context of psychological assessment.