I offer research topics to master students, I am open to guiding or supervising theses related to stated choice, discrete choice modelling, understanding psychophysiological data in this area or others involving the use of machine learning.Â
The emotions experienced by public transport users play a crucial role in understanding their overall experience and improving the quality of the services provided. An experiment has been conducted in Santiago de Chile to analyse and understand the impact of environmental variables on the psychophysiological and emotional states perceived by public transport users. This has resulted in a database that includes detailed transport-related events, psychophysiological indicators recorded through a wristband and, emotional states reported through a mobile application.
This research aims to address three fundamental aspects: the analysis of the database, the application of ML techniques and the evaluation of the results. It is expected that the analysis of the collected database will identify patterns and relationships between environmental variables and the psychophysiological and emotional states of public transport users. Apply ML techniques to develop predictive models that capture users' emotions, focusing on environmental variables. To study the accuracy of these models by comparing predictions with participants' self-reported emotions and analysing the results to understand how real-time environmental factors influence emotions during public transport.
If you are interested, please send me an email. Please provide a brief motivation letter, clarifying:
- The specific topic of your interest.
- Intended starting date.
- Your relevant experiences.
- Proficiency in programming and methodological skills.
Introduction
Validation of biometric devices for the measurement of psychophysiological and emotional states is fundamental in scientific research. In this study, the Biomonitor V3.0 wristband was used to capture biometric data from participants while they were presented with visual stimuli. The IAPS image bank was selected as a source of stimuli due to its wide variety and prior rating in terms of valence and activation.
Objectives
The main aim of this study is to investigate the psychophysiological and emotional states perceived by participants while being measured through psychophysiological sensors. In addition, it seeks to understand how the objects present in the images impact the emotional and psychophysiological responses of the participants.
Research questions
1. how do the psychophysiological and emotional states captured by the biosensors relate to the visual stimuli presented?
2. Are there significant differences in participants' emotional and psychophysiological responses between pleasant and unpleasant images?
3. What is the impact of the objects present in the images on the emotional and psychophysiological response of the participants?
If you are interested, please send me an email. Please provide a brief motivation letter, clarifying:
- The specific topic of your interest.
- Intended starting date.
- Your relevant experiences.
- Proficiency in programming and methodological skills.