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InCA-WhatDoTheyFeel: A web-application to evaluate and improve people's ability to understand Dogs' body languague Memoria Doble Titulación Computación centrada en las personas

Profesor Guia
Profesor Coguia
Sub Áreas Informática educativa, Interacción animal-computador, Interacción humano-computador

Descripción


Humans vary in their ability to read other humans' emotions, and even more so in their ability to read the emotions of individuals from other species than their own.  This can cause grave problems in inter-species relations: if a human interpretes as "Fear" the behavior of a dog which is "Aggressive" and tries to cuddle them, an incident is likely to occur, with a punishment for the dog as a likely outcome.  Can the ability to infer the emotions of other individuals from their body language can be measured via an application showing pictures and proposing the subject to choose between various options (similarly to the "Reading the Mind in the Eyes" test used for measuring the ability to read emotions in humans)?  We propose to design, implement and evaluate an application aiming to measure and improve the ability of subjects (humans or not, including other animals than humans able to see pictures and to interact with a touch screen) to infer the emotional state of other subjects (humans or not) from their body language. We will validate the usability of the application in three phases of four experiments each, with Human and Dog subjects: In a first phase, we will measure the ability of human individuals to recognize the emotions of individuals from dogs in drawings. In a second phase, we will measure the ability of human individuals to recognize the emotions of individuals from dogs in life pictures. In the third phase, we will aim to teach to human subjects how to recognize emotions in drawings and pictures of individual dogs. In the fourth phase, we will measure again the ability of human subjects to recognize the emotions of dog individuals on drawings and pictures.