WORKSHOP: METHODS FOR MEDIA EXPERIENCE ANALYSIS - 93250

courses
ID:
93250
Dettaglio:
SSD: #NULL# Duration: 12 CFU: 2
Located in:
BERGAMO
Url:
COMMUNICATION, INFORMATION, PUBLISHING - 93-R/INFORMAZIONE E CULTURE DEI DATI Year: 1
Year:
2025

Overview

Date/time interval

Secondo Semestre (17/02/2026 - 31/05/2026)

Syllabus

Course Objectives

This lab aims to:


  • Introduce tools and methods for the scientific analysis of media experience in audiovisual (cinema) and immersive (virtual reality) contexts;
  • Familiarize students with biometric techniques and advanced software for collecting and analyzing psychophysiological and behavioral data;
  • Develop basic practical skills in using software such as iMotions, R, Python, and MatLab for processing data related to user responses to media stimuli;
  • Promote critical understanding of experimental methods applied to media consumption studies.

Course Prerequisites

Basic knowledge of film language and immersive media acquired in the module “Audiovisual Media and Immersive Technologies.”


Teaching Methods

  • Hands-on demonstrations of software tools (iMotions, R, Python, MatLab)
  • Group exercises based on real or simulated biometric datasets
  • Case study analysis and experimental protocol simulations
  • Individual technical report on an analytical application in either cinema or VR

Assessment Methods

The acquisition of skills and knowledge is determined by a minimum attendance of 75% of the sessions and the completion of the assignments set by the instructor.


Contents

1. Theoretical and Methodological Foundations


  • What is media experience: definitions, approaches, interdisciplinary context
  • Measuring experience: qualitative and quantitative methods
  • Introduction to biometrics and key physiological indicators (GSR, HR, eye-tracking, facial expression, EEG)


2. Biometric Techniques and Software


  • iMotions: overview of modules, biometric integrations, and VR compatibility
  • Eye-tracking and visual attention analysis
  • GSR and HR: indicators of arousal and engagement
  • Facial expression analysis: emotional inference and automatic coding


3. Statistical and Computational Analysis


  • R and Python: data cleaning, management, and visualization of biometric data
  • MatLab: signal processing and synchronization with audiovisual content
  • Introduction to multivariate analysis and predictive models of media experience


4. Applications in Cinema and Virtual Reality


  • Experimental protocols in VR: workflow, data synchronization, collection, and interpretation
  • Analysis of spectatorship in films and immersive video
  • Case studies: Beat Saber, 360° documentaries, VR short films



Online Resources

More information

The instructor provides the teaching materials through the university’s e-learning platform.

Given the laboratory-based nature of the course, exemption from attendance is granted only for work or health reasons, duly documented.


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Main module

WORKSHOP: METHODS FOR MEDIA EXPERIENCE ANALYSIS