7 resultados para Human Information Processing

em Consorci de Serveis Universitaris de Catalunya (CSUC), Spain


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Psychophysical studies suggest that humans preferentially use a narrow band of low spatial frequencies for face recognition. Here we asked whether artificial face recognition systems have an improved recognition performance at the same spatial frequencies as humans. To this end, we estimated recognition performance over a large database of face images by computing three discriminability measures: Fisher Linear Discriminant Analysis, Non-Parametric Discriminant Analysis, and Mutual Information. In order to address frequency dependence, discriminabilities were measured as a function of (filtered) image size. All three measures revealed a maximum at the same image sizes, where the spatial frequency content corresponds to the psychophysical found frequencies. Our results therefore support the notion that the critical band of spatial frequencies for face recognition in humans and machines follows from inherent properties of face images, and that the use of these frequencies is associated with optimal face recognition performance.

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Amb la Teoria PASS (sobre els 4 processadors cognitius: planificació, atenció, seqüencial i simultani), volem demostrar en el present treball que els alumnes dislèxics processen la informació com la senten. Per això són tant importants les emocions del subjecte i la seva influència en l'aprenentatge escolar. Treballant aquestes emocions podem comprendre com està afectada la seva autoestima i el seu autoconcepte, per així poder desmuntar les creences negatives que l'empenten a creure que no pot fer les tasques escolars que fan els seus companys.

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El objetivo principal de este proyecto es la caracterización de la microcuenca la Jabonera (Estelí, Nicaragua) enfatizando el agua como factor clave que conecta todos los elementos que interaccionan en la microcuenca y que, además delimita el área de estudio. El trabajo de campo ha consistido básicamente en la georeferenciación de los puntos de interés, la realización de encuestas a la población y la evaluación de las fuentes de agua y del agua del río mediante análisis fisicoquímicos. En el procesamiento de la información se ha elaborado cartografía temática mediante la herramienta SIG que ha servido de soporte para la interpretación de los resultados. Las características morfométricas y biofísicas favorecen que el agua precipitada se pierda rápidamente por escorrentía superficial con una tendencia moderada a crecidas e inundaciones. El agua infiltrada circula rápidamente por fracturas del material geológico con tiempos de tránsito cortos, y además, el área de recarga de los nacientes es local por lo que las fuentes son especialmente vulnerables a períodos de sequía y a la contaminación en su entorno cercano. El estudio de usos del suelo junto con la realización de análisis del agua ha permitido determinar que los agroquímicos son la principal fuente potencial de contaminación del agua en la microcuenca. Los resultados obtenidos muestran la necesidad de llevar a cabo una gestión integrada del territorio que garantice un desarrollo socioambiental sostenible.

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Aquest treball presenta una solució basada en criptosistemes de clau pública, certificats i signatures digitals, emprant Java com a llenguatge de programació. Per a estendre la funcionalitat quant a seguretat del Java Developer Kit (JDK) s'utilitza la llibreria criptogràficaIAIK (Institute for Applied Information Processing and Communication).

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Helping behavior is any intentional behavior that benefits another living being or group (Hogg & Vaughan, 2010). People tend to underestimate the probability that others will comply with their direct requests for help (Flynn & Lake, 2008). This implies that when they need help, they will assess the probability of getting it (De Paulo, 1982, cited in Flynn & Lake, 2008) and then they will tend to estimate one that is actually lower than the real chance, so they may not even consider worth asking for it. Existing explanations for this phenomenon attribute it to a mistaken cost computation by the help seeker, who will emphasize the instrumental cost of “saying yes”, ignoring that the potential helper also needs to take into account the social cost of saying “no”. And the truth is that, especially in face-to-face interactions, the discomfort caused by refusing to help can be very high. In short, help seekers tend to fail to realize that it might be more costly to refuse to comply with a help request rather than accepting. A similar effect has been observed when estimating trustworthiness of people. Fetchenhauer and Dunning (2010) showed that people also tend to underestimate it. This bias is reduced when, instead of asymmetric feedback (getting feedback only when deciding to trust the other person), symmetric feedback (always given) was provided. This cause could as well be applicable to help seeking as people only receive feedback when they actually make their request but not otherwise. Fazio, Shook, and Eiser (2004) studied something that could be reinforcing these outcomes: Learning asymmetries. By means of a computer game called BeanFest, they showed that people learn better about negatively valenced objects (beans in this case) than about positively valenced ones. This learning asymmetry esteemed from “information gain being contingent on approach behavior” (p. 293), which could be identified with what Fetchenhauer and Dunning mention as ‘asymmetric feedback’, and hence also with help requests. Fazio et al. also found a generalization asymmetry in favor of negative attitudes versus positive ones. They attributed it to a negativity bias that “weights resemblance to a known negative more heavily than resemblance to a positive” (p. 300). Applied to help seeking scenarios, this would mean that when facing an unknown situation, people would tend to generalize and infer that is more likely that they get a negative rather than a positive outcome from it, so, along with what it was said before, people will be more inclined to think that they will get a “no” when requesting help. Denrell and Le Mens (2011) present a different perspective when trying to explain judgment biases in general. They deviate from the classical inappropriate information processing (depicted among other by Fiske & Taylor, 2007, and Tversky & Kahneman, 1974) and explain this in terms of ‘adaptive sampling’. Adaptive sampling is a sampling mechanism in which the selection of sample items is conditioned by the values of the variable of interest previously observed (Thompson, 2011). Sampling adaptively allows individuals to safeguard themselves from experiences they went through once and turned out to lay negative outcomes. However, it also prevents them from giving a second chance to those experiences to get an updated outcome that could maybe turn into a positive one, a more positive one, or just one that regresses to the mean, whatever direction that implies. That, as Denrell and Le Mens (2011) explained, makes sense: If you go to a restaurant, and you did not like the food, you do not choose that restaurant again. This is what we think could be happening when asking for help: When we get a “no”, we stop asking. And here, we want to provide a complementary explanation for the underestimation of the probability that others comply with our direct help requests based on adaptive sampling. First, we will develop and explain a model that represents the theory. Later on, we will test it empirically by means of experiments, and will elaborate on the analysis of its results.

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Background: Being physically assaulted is known to increase the risk of the occurrence of post-traumatic stress disorder (PTSD) symptoms but it may also skew judgements about the intentions of other people. The objectives of the study were to assess paranoia and PTSD after an assault and to test whether theory-derived cognitive factors predicted the persistence of these problems. Method: At 4 weeks after hospital attendance due to an assault, 106 people were assessed on multiple symptom measures (including virtual reality) and cognitive factors from models of paranoia and PTSD. The symptom measures were repeated 3 and 6 months later. Results: Factor analysis indicated that paranoia and PTSD were distinct experiences, though positively correlated. At 4 weeks, 33% of participants met diagnostic criteria for PTSD, falling to 16% at follow-up. Of the group at the first assessment, 80% reported that since the assault they were excessively fearful of other people, which over time fell to 66%. Almost all the cognitive factors (including information-processing style during the trauma, mental defeat, qualities of unwanted memories, self-blame, negative thoughts about self, worry, safety behaviours, anomalous internal experiences and cognitive inflexibility) predicted later paranoia and PTSD, but there was little evidence of differential prediction. Conclusions: Paranoia after an assault may be common and distinguishable from PTSD but predicted by a strikingly similar range of factors.