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Module: Biosigal Platform: Analysing and Interpreting Results

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Analyzing data

Biosigal Platform: Analysing and Interpreting Results

This final module teaches how to work with completed sessions inside the Analysis and Overview tabs of the Cinematronic Biosignal Platform. Students will learn to read GSR and HR raw data, link them with annotations and comments, and interpret aggregated results.

Cinematronic

September 29, 2025

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Learning Objectives:

  • Read and interpret GSR, HR, and PPG signals for individual viewers.

  • Add meaningful annotations linked to the media timeline

  • Identify consistent physiological patterns across participants

Biosignal Platform: Reading Signals and Adding Annotations



This lesson introduces the Analysis tab, where physiological data and video playback are synchronised for detailed review. It explains how to interpret GSR and heart-rate signals, recognise the physiological meaning of each trace, and create time-coded annotations that link reactions to cinematic events. Students learn to evaluate normal GSR delay, verify signal quality, and maintain an objective, data-driven approach to interpreting audience responses.

Biosignal Platform: Overview of Results and Global Interpretation


This lesson introduces the Overview tab, where multiple respondents can be reviewed together to see how a group reacted to the same video. It explains how to view normalised or averaged physiological data, compare patterns across respondents, and write meta comments that describe what most viewers reacted to and where their reactions differed. The purpose of this view is to understand collective audience behaviour, to see which moments consistently triggered attention or arousal, which parts remained calm, and which scenes produced mixed or individual responses.

This module introduces the analysis and interpretation phase of audience testing. Students will now learn how to read physiological data, annotate them with observations, and interpret the outcomes in relation to media content, transforming raw data into meaningful creative feedback that can guide editing, sound design, and storytelling decisions.

In the Analysis tab of the Cinematronic Biosignal Platform, you can study one respondent at a time, observing the relationship between the GSR and heart rate while the video plays. You can pause playback to add time-coded comments, note possible reactions, or connect physiological responses to questionnaire feedback.

In the Overview tab, the software automatically normalises and combines data across participants, allowing you to see which reactions are consistent and which differ between viewers. This comparative view enables the distinction between reliable emotional moments and isolated or random responses. You will learn to identify shared peaks that confirm a scene’s effectiveness, as well as flat or divergent segments that may reveal confusion, disengagement, or editing issues.


Lesson 1:Biosignal Platform: Reading Signals and Adding Annotations
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Module: Biosigal Platform: Analysing and Interpreting Results Lessons

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Biosignal Platform: Reading Signals and Adding Annotations

Lesson 1: Biosignal Platform: Reading Signals and Adding Annotations

This lesson introduces the Analysis tab, where physiological data and video playback are synchronised for detailed review. It explains how to interpret GSR and heart-rate signals, recognise the physiological meaning of each trace, and create time-coded annotations that link reactions to cinematic events. Students learn to evaluate normal GSR delay, verify signal quality, and maintain an objective, data-driven approach to interpreting audience responses.

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Biosignal Platform: Overview of Results and Global Interpretation

Lesson 2: Biosignal Platform: Overview of Results and Global Interpretation

This lesson introduces the Overview tab, where multiple respondents can be reviewed together to see how a group reacted to the same video. It explains how to view normalised or averaged physiological data, compare patterns across respondents, and write meta comments that describe what most viewers reacted to and where their reactions differed. The purpose of this view is to understand collective audience behaviour, to see which moments consistently triggered attention or arousal, which parts remained calm, and which scenes produced mixed or individual responses.

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