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miriam_thesis — Master’s Thesis Repository

Author: Miriam Calafà

Title: Designing Multimodal Emotional Expression for a Robotic Study Companion

Institution: University of Tartu

Year: 2025

This repository contains all materials developed and used for the research and writing of my Master's thesis on the emotional expression of the Robot Study Companion (RSC), focusing on multimodal affective feedback in educational robotics.


📂 Repository Structure

AnalysisScripts/

Python scripts for the statistical analysis and visualization of user study data:

  • Emotion recognition accuracy
  • Voice preference analysis
  • Visualisation of User Experience Questionnaire (UEQ) results
  • Cross-cultural and demographic comparisons

EmotionDesign/

Resources used to design and produce emotional expressions:

  • Static facial expressions
  • Face animation files
  • Audio clips used for each emotion
  • Final multimodal videos (audio + animation + face)

Note: Motion sequences and robot simulations are hosted separately in the RSC_ROS2 repository.

Results/

All processed results, including:

  • Confusion matrices
  • Graphs and charts from statistical analyses
  • Summary tables

TestingMaterial/

Materials used during the user study:

  • Final version of the questionnaire
  • Instructional slides used in the test sessions

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