Desafios Para A Implementação Do Processo De Projeto Colaborativo: Análise Do Fator Humano

The ineffectiveness of current design processes has been well studied and has resulted in widespread calls for the evolution and development of new management processes. Perhaps one problem is that with the advent of BIM we are moving from one stage to another without necessarily having resolved all the issues. CAD design technology, if well handled, could have significantly raised the level of quality and efficiency of current processes, but in practice this was not fully realized. Therefore, technology alone can´t solve all the problems and the advent of BIM could result in a similar bottleneck. For a precise definition of the problem to be solved we should start by understanding what are the main current bottlenecks that have yet to be overcome by either new technologies or management processes, and the impact of human behavior related issues despite the advent of new technologies. The fragmented and dispersed nature of the AEC sector and the huge number of small organizations that comprise it would probably be a major limiting factor. Several authors have addressed this issue and more recently IDDS has been defined as the highest level of achievement. However, what is written on IDDS shows an extremely ideal situation on a state to be achieved; it shows a holistic utopian proposition with the intent to create the research agenda to move towards that state. Key to IDDS is the framing of a new management model which should address the problems associated with key aspects: technology, processes, policies and people. One of the primary areas to be further studied is the process of collaborative work and understanding, together with the development of proposals to overcome the many cultural barriers that currently exist and impede the advance of new management methods. The purpose of this paper is to define and delimit problems to be solved so that it is possible to implement a new management model for a collaborative design process.

Automatic inference of driving task demand from visual cues of emotion and attention

Sensing the mental, physical and emotional demand of a driving task is of primary importance in road safety research and for effectively designing in-vehicle information systems (IVIS). Particularly, the need of cars capable of sensing and reacting to the emotional state of the driver has been repeatedly advocated in the literature. Algorithms and sensors to identify patterns of human behavior, such as gestures, speech, eye gaze and facial expression, are becoming available by using low cost hardware: This paper presents a new system which uses surrogate measures such as facial expression (emotion) and head pose and movements (intention) to infer task difficulty in a driving situation. 11 drivers were recruited and observed in a simulated driving task that involved several pre-programmed events aimed at eliciting emotive reactions, such as being stuck behind slower vehicles, intersections and roundabouts, and potentially dangerous situations. The resulting system, combining face expressions and head pose classification, is capable of recognizing dangerous events (such as crashes and near misses) and stressful situations (e.g. intersections and way giving) that occur during the simulated drive.

Electrophysiological responses to violations of expectation from eye gaze and arrow cues

Isolating processes within the brain that are specific to human behavior is a key goal for social neuroscience. The current research was an attempt to test whether recent findings of enhanced negative ERPs in response to unexpected human gaze are unique to eye gaze stimuli by comparing the effects of gaze cues with the effects of an arrow cue. ERPs were recorded while participants (N¼30) observed a virtual actor or an arrow that gazed (or pointed) either toward (object congruent) or away from (object incongruent) a flashing checkerboard. An enhanced negative ERP (N300) in response to object incongruent compared to object congruent trials was recorded for both eye gaze and arrow stimuli. The findings are interpreted as reflecting a domain general mechanism for detecting unexpected events.

The potential for new understandings of normal and abnormal cognition by integration of neuroimaging and behavioral data : Not an exercise in carrying coals to Newcastle

Discovering the means to prevent and cure schizophrenia is a vision that motivates many scientists. But in order to achieve this goal, we need to understand its neurobiological basis. The emergent metadiscipline of cognitive neuroscience fields an impressive array of tools that can be marshaled towards achieving this goal, including powerful new methods of imaging the brain (both structural and functional) as well as assessments of perceptual and cognitive capacities based on psychophysical procedures, experimental tasks and models developed by cognitive science. We believe that the integration of data from this array of tools offers the greatest possibilities and potential for advancing understanding of the neural basis of not only normal cognition but also the cognitive impairments that are fundamental to schizophrenia. Since sufficient expertise in the application of these tools and methods rarely reside in a single individual, or even a single laboratory, collaboration is a key element in this endeavor. Here, we review some of the products of our integrative efforts in collaboration with our colleagues on the East Coast of Australia and Pacific Rim. This research focuses on the neural basis of executive function deficits and impairments in early auditory processing in patients using various combinations of performance indices (from perceptual and cognitive paradigms), ERPs, fMRI and sMRI. In each case, integration of two or more sources of information provides more information than any one source alone by revealing new insights into structure-function relationships. Furthermore, the addition of other imaging methodologies (such as DTI) and approaches (such as computational models of cognition) offers new horizons in human brain imaging research and in understanding human behavior.

Supervised latent dirichlet allocation models for efficient activity representation

Local spatio-temporal features with a Bag-of-visual words model is a popular approach used in human action recognition. Bag-of-features methods suffer from several challenges such as extracting appropriate appearance and motion features from videos, converting extracted features appropriate for classification and designing a suitable classification framework. In this paper we address the problem of efficiently representing the extracted features for classification to improve the overall performance. We introduce two generative supervised topic models, maximum entropy discrimination LDA (MedLDA) and class- specific simplex LDA (css-LDA), to encode the raw features suitable for discriminative SVM based classification. Unsupervised LDA models disconnect topic discovery from the classification task, hence yield poor results compared to the baseline Bag-of-words framework. On the other hand supervised LDA techniques learn the topic structure by considering the class labels and improve the recognition accuracy significantly. MedLDA maximizes likelihood and within class margins using max-margin techniques and yields a sparse highly discriminative topic structure; while in css-LDA separate class specific topics are learned instead of common set of topics across the entire dataset. In our representation first topics are learned and then each video is represented as a topic proportion vector, i.e. it can be comparable to a histogram of topics. Finally SVM classification is done on the learned topic proportion vector. We demonstrate the efficiency of the above two representation techniques through the experiments carried out in two popular datasets. Experimental results demonstrate significantly improved performance compared to the baseline Bag-of-features framework which uses kmeans to construct histogram of words from the feature vectors.

Initial prototype testing of Ray's Night Out: A new mobile app targeting risky drinking in young people

Background Risky single occasion drinking (RSOD; 4 or more drinks in <6 h) more than doubles the risk of injury in young people (15 - 25 years). The potential role of smartphone apps in reducing RSOD in young people is yet to be explored. Objective: To describe the initial prototype testing of ‘Ray's Night Out’, a new iPhone app targeting RSOD in young people. Method Quantitative and qualitative methods were used to evaluate the quality, perceived utility, and acceptability of the app among nine young people (19e23 years). Results Participants reported Ray's Night Out had good to excellent levels of functionality and visual appeal, acceptable to good levels of entertainment, interest and information, and acceptable levels of customization and interactivity. Young people thought the app had high levels of youth appeal, would prompt users to think about their alcohol use limits, but was unlikely to motivate a change in alcohol use in its current form. Qualitative data provided several suggestions for improving the app. Conclusion Following revision, Ray's Night Out could provide an effective intervention for RSOD in non help-seeking young people. A randomized controlled trial is currently underway to test the final prototype of the app.

Kestävä kehitys globaalin ajan hyvinvointiyhteiskunnan haasteena

The objective of the dissertation was to determine the concept of sustainable development according to current understanding and to analyze the structuration of sustainable daily life and how it varies between different groups. The present dissertation is both a literature-based theoretical study and data-based empirical research. The theoretical framework of the study was a greated model of the Structuration of Sustainability in Everyday Life. The model is based on a synthesis of Giddens Theory of Structuration (1984), Spaargaren JA van Vliet's Theory of Consumption as Social Practices (2000) and principles of sustainable development. According to the model created, sustainable everyday life is generated in a context of internal and external factors compromising the interests of ecosystems, society and business. The literature used in the thesis included international and national statements on sustainable development and research into sustainability and the transition to sustainable societies. The data were collected at Helsinki Metropolia University of Applied Sciences. The discretionary sample consisted of students of social services (n = 210) and were collected using the semantic differential technique. The data were analyzed using quantitative and qualitative methods. The results showed that the value placed on ecological, economic and social sustainability increased with age. Activity in non governmental organizations was associated with the acceptance of sustainable development as a whole and especially with global responsibility. Women's everyday life promoted sustainability more than men´s. People living in Helsinki had more sustainable ways of living than those living in the surrounding municipalities because of greater recycling and the low importance given to ownership. Prefering vegetarian food turned out to be a real opportunity for a more sustainable way of living because there were few barriers identified. Contradictory human behavior occurred when advanced sustainable consumer were ready to risk their health. The importance of communality was high and it was considered an aspect of health. The most significant obstacles to sustainable development in daily life were high costs, lack of knowledge and busyness. Similar attitudes towards sustainable development translate into different people´s behavior, which indicates complexities of the behaviour change in the context of sustainable development. The role of non governmental organizations is significant in increasing global responsibility. Education presents an opportunity to increase sustainability, but there are challenges to face from system thinking and in understanding entities in a state of transition towards sustainable everyday life. The responsibility of policy makers is paramount because high costs create a barrier to a sustainable way of living. The implementation of the concept of sustainable development should be focused on the planetary ethics which cover humans, animals, plants and ecosystems. Keywords: Sustainable development, sustainable thinking, behaviour change  

Editorial of "International Journal of Critical Indigenous Studies, Volume 8, Number 2, 2015"

The articles in this edition address two critical concerns that can be broadly characterised as Indigeneity as a spectacle and the elision of Indigenous sovereignty by multiculturalism and diversity. The first article, by Maryrose Casey, examines nineteenth and early twentieth century Indigenous performances that drew on cultural practices for entertainment. She highlights how these commercially driven performances were, in fact, demonstrations of sovereignty that white colonisers paid to observe. A measure of the success of these demonstrations can be found in the reactions of audiences, which often involved disrupting the spectacle by physically occupying the performance space.

The impact of communication technologies on life and relationship satisfaction

Previous studies have shown a relationship between the use of communications technology and well-being, particularly mediated through its effect on personal relationships. However, there is some debate over whether this effect is positive or negative. The present study explored this issue further, examining whether the effect varies depending on the type of communications technology, and the nature of the personal relationship. An online survey was conducted with 3,421 participants in three countries (Australia, UK and US). It examined the use of ten communication methods, overall satisfaction with life and satisfaction with four different kinds of relationships (close and extended family, and close and distant friends). Results indicate that richer communication methods, which include non-verbal cues, were positively associated with both overall satisfaction with life and satisfaction with relationships. These methods included face-to-face communication, and phone and video calls. Conversely, more restricted methods, such as text messaging and instant messaging, were negatively associated with both variables. Social networking was negatively associated with overall satisfaction, but not with satisfaction with relationships. The strength of the association between a communications method and satisfaction with a relationship varied depending on the type of relationship, but whether it was positive or negative did not change.

A survey on compressed domain video analysis techniques

Image and video analysis requires rich features that can characterize various aspects of visual information. These rich features are typically extracted from the pixel values of the images and videos, which require huge amount of computation and seldom useful for real-time analysis. On the contrary, the compressed domain analysis offers relevant information pertaining to the visual content in the form of transform coefficients, motion vectors, quantization steps, coded block patterns with minimal computational burden. The quantum of work done in compressed domain is relatively much less compared to pixel domain. This paper aims to survey various video analysis efforts published during the last decade across the spectrum of video compression standards. In this survey, we have included only the analysis part, excluding the processing aspect of compressed domain. This analysis spans through various computer vision applications such as moving object segmentation, human action recognition, indexing, retrieval, face detection, video classification and object tracking in compressed videos.

La estructura del orden moral : una introducción a la ética de cuño aristotélico-tomista

Resumen: El texto realiza un análisis sobre el orden moral en su objeto material (la conducta humana) y el objeto formal (el bien o la perfección). Se detiene en la experiencia moral planteando los problemas, las dudas y las dificultades tales como la naturaleza humana, el fin natural, la libertad, las pasiones, la necesidad de indigencia y la deóntica, entre otros. Luego estudia el esquema de la estructura del orden moral en el orden moral vivido, disposicional, subjetivo, normativo y de fines. Estas dimensiones se integran a través de la causalidad final.

Repensando la confianza como factor crítico en la gestión organizativa

[ES] La confianza en el mundo de los negocios es un factor esencial que viene siendo estudiado por la literatura del Management desde hace décadas. Partiendo de la propuesta seminal de Mayer et al. (1995), acerca de qué es la confianza y cómo se desarrolla en el seno de las organizaciones, proponemos trazar una crítica constructiva al modelo descrito a partir de las aportaciones de Spaemann, autor de dilatada trayectoria en el marco de la denominada “Filosofía Moral de la Europa Continental”.

A imposição de limites ao exercício da liberdade individual como decorrência imediata da produção de normas de convívio

A coesão de organismos sociais humanos é mantida por meio da imposição de limites ao exercício do livre arbítrio por parte dos indivíduos e das coletividades de indivíduos que os integram e compõem. Esse objetivo é alcançado pela atuação de quatro mecanismos que se influenciam mutuamente: a ética, a moral, o direito e as convenções sociais decorrentes da assimilação de novos conhecimentos. Os limites impostos ao comportamento instituídos no âmbito desses mecanismos serão aplicados tanto ao relacionamento entre indivíduos como ao relacionamento entre comunidades e aos contatos entre estas e aqueles. Tais limites apresentarão algumas características comuns, qualquer que seja o meio onde se desenvolvam: a sensação de legitimidade com que são vistos pelos alcançados; a forma ao mesmo tempo universal e heterogênea por meio da qual se aplicam aos integrantes do meio social em que são estabelecidos; a presença de instrumentos de coerção a eles correlacionados; o caráter dinâmico que faz com que se encontrem em permanente mutação; e o fato de que constituem criações coletivas. Esses limites serão originados de procedimentos específicos para cada período, cultura ou espaço territorial em que se vejam implantados. Não serão permanentemente compatíveis com os valores do meio social no qual são instituídos, mas em todos os casos tenderão a evoluir no sentido de se ajustarem a esses valores. Desse último fenômeno resulta uma estreita vinculação entre o teor de juízos coletivos e o conteúdo dos limites estabelecidos pelo meio social para o comportamento humano, o que acarreta na errônea concepção de que sociedades distintas, por se fundarem em apreciações valorativas igualmente discrepantes, não apresentam traços em comum. Demonstrar que essa última conclusão se afasta da realidade, a partir da premissa de que em qualquer meio social se busca o estabelecimento de limites ao comportamento humano, constitui o objetivo central do presente estudo.

Optimal Data Distributions in Machine Learning

In the first part of the thesis we explore three fundamental questions that arise naturally when we conceive a machine learning scenario where the training and test distributions can differ. Contrary to conventional wisdom, we show that in fact mismatched training and test distribution can yield better out-of-sample performance. This optimal performance can be obtained by training with the dual distribution. This optimal training distribution depends on the test distribution set by the problem, but not on the target function that we want to learn. We show how to obtain this distribution in both discrete and continuous input spaces, as well as how to approximate it in a practical scenario. Benefits of using this distribution are exemplified in both synthetic and real data sets.

In order to apply the dual distribution in the supervised learning scenario where the training data set is fixed, it is necessary to use weights to make the sample appear as if it came from the dual distribution. We explore the negative effect that weighting a sample can have. The theoretical decomposition of the use of weights regarding its effect on the out-of-sample error is easy to understand but not actionable in practice, as the quantities involved cannot be computed. Hence, we propose the Targeted Weighting algorithm that determines if, for a given set of weights, the out-of-sample performance will improve or not in a practical setting. This is necessary as the setting assumes there are no labeled points distributed according to the test distribution, only unlabeled samples.

Finally, we propose a new class of matching algorithms that can be used to match the training set to a desired distribution, such as the dual distribution (or the test distribution). These algorithms can be applied to very large datasets, and we show how they lead to improved performance in a large real dataset such as the Netflix dataset. Their computational complexity is the main reason for their advantage over previous algorithms proposed in the covariate shift literature.

In the second part of the thesis we apply Machine Learning to the problem of behavior recognition. We develop a specific behavior classifier to study fly aggression, and we develop a system that allows analyzing behavior in videos of animals, with minimal supervision. The system, which we call CUBA (Caltech Unsupervised Behavior Analysis), allows detecting movemes, actions, and stories from time series describing the position of animals in videos. The method summarizes the data, as well as it provides biologists with a mathematical tool to test new hypotheses. Other benefits of CUBA include finding classifiers for specific behaviors without the need for annotation, as well as providing means to discriminate groups of animals, for example, according to their genetic line.

Aspectos evolutivos da depressão pós-parto e fatores associados

A depressão pós-parto (DPP) é uma condição prevalente que afeta globalmente as mulheres puérperas. Uma hipótese evolutiva aborda a depressão, e consequentemente a DPP, como uma resposta proveniente da evolução do comportamento humano ao longo da História, através da seleção natural. A teoria do investimento parental sugere que os pais não investem automaticamente em toda prole; o investimento é direcionado para que o sucesso reprodutivo seja máximo. No caso de os riscos superarem os benefícios reprodutivos, sintomas de depressão se desenvolvem como sinal de alerta. O objetivo do estudo foi identificar fatores associados à DPP que fossem compatíveis com a teoria do investimento parental. Estudo transversal realizado com 811 mães de lactentes até cinco meses de idade, no município do Rio de Janeiro. A presença de DPP foi definida com base no escore da Escala de Edinburgh (EPDS). Fatores potencialmente associados à DPP foram analisados através de regressão logística com ajuste para fatores de confundimento. Os fatores significativamente associados à DPP foram: apoio social inadequado (OR 3,38; IC 95% 2,32-4,94), baixa escolaridade (OR 2,82; IC 95% 1,69-4,70), violência física entre parceiros íntimos na gestação (OR 2,33; IC 95% 1,56-3,47), idade materna inferior a 35 anos (OR 2,20; IC 95% 1,05-4,64), falta de companheiro (OR 1,90; IC 95% 1,16-3,12), internações durante a gestação (OR 1,87; IC 95% 1,12-3,14) e prematuridade do recém-nascido (OR 1,87; IC 95% 1,02-3,42). Em suma, identificamos alguns fatores associados à DPP que podem ser úteis no rastreamento e acompanhamento de mulheres de risco. Alguns dos fatores associados à DPP podem ser explicados através das hipotéses evolutivas contempladas neste estudo. Entretanto, os achados encontrados não são suficientes para esgotar o conhecimento referente a esta questão. Futuras pesquisas devem focar em diferentes abordagens desta condição e acompanhamento das consequências para as mulheres e suas famílias.