Examinando por Materia "FALSAS MEMORIAS"
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Proyecto final de GradoControlling face’s frame generation in StyleGAN’s latent space operations: modifying faces to deceive our memory(2022) Roca, Agustín; Britos, Nicolás Ignacio"Innocence Project is a non-profitable organization that works in reducing wrongful convictions. In collaboration with El Laboratorio de Sueño y Memoria from Instituto Tecnológico de Buenos Aires (ITBA), they are studying human memory in the context offace identification. They have a strong hypothesis stating that human memory heavily relies in face’s frame to recognize faces. If this is proved, it could mean that face recognition in police lineups couldn’t be trusted, as they may lead to wrongful convictions. This study uses experiments in order to try to prove this using faces with different properties, such as eyes size, but maintaining its frame as much as possible." PósterFalse memory formation during Covid-19 quarantine: age, sleep quality and emotional variables. Preliminary results(2020) Bonilla, Matías; León, Candela S.; Urreta Benítez, Facundo A.; Lippmann-Mazzaglia, Natalia; Calvo, Camila; Garrido, Manuel; Forcato, Cecilia"False memories are memories of events that did not happen or are altered in their content. It has been shown that not only small distortions can be introduced into old memories but also entire memories of events that never occurred can be implanted. Age is a crucial factor in the formation of false memories. Currently there is no consensus on which age range is more vulnerable. Since the COVID-19 pandemic, anxiety and depression values are increased and these factors also influence the formation of false memories.Thus, our aim was to study how age and mood factors, such as anxiety and depression, influence the formation of false memories." PósterThe impact of time, age and frequency of use on recognizing personal items of our closest ones: Forensic implications. Preliminary results(2021) Bonilla, Matías; Vidal, Vanesa; León, Candela S.; Urreta Benítez, Facundo A.; Forcato, Cecilia"Sometimes people have to recognize belongings of close ones that were found in places where, for example, genocides took place. This is done in order to pinpoint a missing person's last whereabouts and in some cases because the family asks to keep with their belongings. To do this, one part of the process is asking the relatives of the missing person to identify the items. However, in some cases (e.g. the missing people during the last Argentine military dictatorship) these procedures have been put in doubt by the legal system in order to prevent errors such as two or more families recognizing the same item as their own and thus to prevent nonsense re-exposure to traumatic memories. To the best of our knowledge, there is a lack of studies evaluating our performance on recognition of clothes from close ones. It is known that our capacity to correctly recognize items depends on various factors, such as age, frequency of item exposure, level of stress, sleep, among others [1-4]. Here, we will discuss preliminary data of how different factors such as time, age and frequency of use modulate the capacity to correctly and falsely recognize personal items of close ones. These results can enlighten and help the everyday practice of organizations such asthe “Argentine Team of Forensic Anthropology” (EAAF) to make decisions about the reliability of the clothing recognition by the victim’s relatives." PósterSynaptic homeostasis and fake news(2021) León, Candela S.; Bonilla, Matías; Forcato, Cecilia; Urreta Benítez, Facundo A."The spread of fake news has become a major problem for societies. Recent studies showed that when people are confronted with invented news, can believe and even generate a false memory of these events, and this is increased when the content of the fake material is consistent with their ideology. Further, it has been observed that there are individual factors such as cognitive or analytical thinking abilities that influence the generation of false memories. Besides, a recent study found that decision-making is a result of the combination of the person's chronotype and the sleep pressure they have at the time of the evaluation. Here, we hypothesize that people's sleep pressure when observing fake news is a predictor of the capacity to generate false memories about fake news. To study this, we developed a set of fake news that was presented mixed with real news. We discuss the results in the framework of the Synaptic Homeostasis Hypothesis." Proyecto final de GradoUse of generative adversarial networks for the creation and manipulation of facial images in the context of studying false memories and its effects on wrongful conviction cases: implementation of StyleGAN’s generative image modeling and style mixing properties to design an interface for experimentation purposes(2021-11-16) Lozano, Jimena; Herrán Oyhanarte, Maite Mercedes; Ramele, Rodrigol Laboratorio de Sueño y Memoria from Instituto Tecnológico de Buenos Aires (ITBA) studies the formation of false memories, and how these can be reduced or modified, and is in collaboration with the Innocence Project to investigate how these can lead to errors in convictions. From this research, the need arises to carry out experiments with human faces that are similar to each other, and how this similarity can result in the formation of false memories. In this project, we investigate a field of Artificial Intelligence (AI), Deep Learning, which can provide us with a solution to the generation of artificial faces. In particular, we implement a face generation model using a Generative Adversarial Network (GAN), with the aim of generating faces as realistic as possible, so that a human cannot distinguish them from real faces. StyleGAN, a particular implementation of the GAN network, was the chosen architecture, because in addition to producing images with high resolution quality, it presents a model that allows navigation of the latent space and the synthesis of faces, using style mixing properties. Finally, an application called FG-Style was developed and installed on a GPU-based server at ITBA so that the laboratory can have control over the face generation model, and over the generation of faces similar to a selected one, using StyleGAN’s style mixing properties to have a grip over the change of specific features of the generated faces."