Hi, I am Anthony Pedrosa.
I hold degrees in psychology, sociology and cognitive ergonomics from Université Savoie Mont Blanc, and teach cognitive sciences and ergonomics at Arts et Métiers Chambéry.
My work connects cognitive and social psychology, scientific methodology, data analysis with R/RStudio and Python, and human-factors based UX research.
I work on learning, personality, decision-making, bias, attention, cognitive load and human-machine interaction.
I structure research questions, hypotheses, variables, protocols, observations, interviews, surveys and user tests.
I design course material, facilitate engineering-student groups and turn psychological concepts into applied examples.
I use R, RStudio and Python to analyze, visualize and interpret data from experimental protocols and field studies.
I have also worked with MouseTracker, TensorFlow/Keras, SQL, Figma and Adobe XD.
My work covers food decision-making, social dynamics in video games and the contribution of human sciences to AI.
I connect literature review, protocol design, data and concrete recommendations.
I analyze usage, working conditions and behavior to design clearer, safer and more efficient interfaces and systems.
This approach combines psychology, cognitive ergonomics and field observation.
Thesis on the Study of Food Decision-Making with MouseTracker: Validation Study of a New Data Collection Protocol.
Thesis on Learning, Strategies, and Social Dynamics Related to Video Games.
Cognitive, social, clinical, developmental and industrial/organizational psychology.
Online community platform with 35,000+ registered users.
User behavior analysis, team coordination, project management and technical knowledge transfer.
First-year courses: cognitive sciences of learning, personality and emergency situation management.
Final-year courses: HCI ergonomics applied to industrial machines.
Course material design and facilitation of engineering-student groups.
Work analysis through observations, interviews and field data.
Design of ergonomic solutions and training on human factors and prevention.
36% reduction in occupational risks in completed projects.
Study protocol design and coordination of 120 user tests.
Analysis of behavior, verbalizations and observation data, followed by operational recommendations.
Theoretical and methodological research on chronic stress prevention.
Definition of usage hypotheses, user needs and integration of psychology into product design.
Learning, attention, personality, decision-making, bias and group dynamics.
Research questions, hypotheses, variables, experimental protocols and study design.
Observations, interviews, surveys, verbalizations and user tests.
Cognitive load, human-machine interaction, field usage and operational recommendations.
Course materials, group facilitation and applied explanation of psychological concepts.
Processing, exploration, visualization and interpretation of results.
Data analysis, automation scripts and applied AI projects.
Cleaning, synthesis, charting and critical reading of data.
Decision protocols, mouse trajectories and behavioral analysis.
TensorFlow/Keras, SQL, Figma and Adobe XD.
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