Workers' perception of workplace bullying: a cross-cultural study

This study is one of the first studies to approach workplace bullying cross-culturally. It sought to compare employees' understanding of workplace bullying in two different world regions: Central America and Southern Europe, regarding three aspects of workplace bullying: psychological vs. physical harassment, hierarchical vs. horizontal bullying, and direct vs. indirect aggression. A convenience sample of 246 workers provided their own definition of workplace bullying through a single, open-ended question. The results showed that employees from Central America emphasized the physical component of workplace bullying more than the Southern European employees. However, similarities in the conceptualization of workplace bullying across both cultures were found as well. Both Southern European and Central American employees defined workplace bullying mainly as a hierarchical phenomenon, where the aggression took the form of direct strategies. Such differences and similarities bring to the field some positive inputs for the development and implementation of different strategies for dealing effectively with this phenomenon.

Addendum to Perception and Interpretation of Advance Warning Signs on County Roads, HR-256, 1985

This contract extension was granted to analyze data obtained in the original contract period at a level of detail not called for in the original contract nor permitted by the time constraints of the original contract schedule. These further analyses focused on two primary questions: I. What sources of variation can be isolated within the overall pattern of driver recognition errors reported previously for the 16 signs tested in Project HR-256? 2. Were there systematic relations among data on the placement of signs in a simulated signing exercise and data on the respondents' ability to detect the presence of a sign in a visual field or their ability to recognize quickly and correctly a sign shown them or the speed with which these same persons can respond to a sign for a driver decision?

Mobile Robot Local Predictive Control under Perception Constraints

This research extends a previously developed work concerning about the use of local model predictive control in mobile robots. Hence, experimental results are presented as a way to improve the methodology by considering aspects as trajectory accuracy and time performance. In this sense, the cost function and the prediction horizon are important aspects to be considered. The platformused is a differential driven robot with a free rotating wheel. The aim of the present work is to test the control method by measuring trajectory tracking accuracy and time performance. Moreover, strategies for the integration with perception system and path planning are also introduced. In this sense, monocular image data provide an occupancy grid where safety trajectories are computed by using goal attraction potential fields

Gènere i sexoafectivitat segons els adolescents dels usuaris dels centres oberts de la ciutat de Girona

L’objectiu d’aquest treball és conèixer la percepció que tenen els adolescents usuaris dels centres oberts de la ciutat de Girona sobre la sexualitat, l’afectivitat, quins rols de gènere se’n deriven i quines creences els sustenten. El disseny del treball ha estat qualitatiu, observacional, grups de discussió. Pel que fa als subjectes i al mètode, la població seleccionada ha estat de 33 adolescents i joves d’edats compreses entre els 12 i els 22 anys, usuaris de quatre centres oberts de Girona: el centre obert de Taialà, el Centre Obert de Font de la Pólvora (Onyar), el Centre Obert de Santa Eugènia i el Centre Obert del Barri Vell. Es van dur a terme grups de discussió d’una hora de duració sense descans amb d’entre 6 i 8 persones a partir d’un guió format per diversos mites i frases en relació a diversos temes (El festeig, la virginitat, la curiositat pel cos i per la sexualitat, els anticonceptius i les principals fonts d’informació) sobre les que havien de dir si estaven d’acord o no i qui creien que les deia (si un noi o una noia). Sobre els resultats del treball cal dir que s’ha observat la persistència d’algunes creences del model del amor romàntic en relació al rols de gènere com la definició de la dona vinculada a papers de cura i prevenció, una dona que té accés a la sexualitat però segueix estan catalogada per la vivència d’aquesta essent una persona “respectable” o una “puta”, que pren un rol més actiu en la iniciativa però no el l’assertivitat en les relacions; i un home, més impulsiu i sexual. En relació als comportaments sexuals destacar l’embaràs no desitjat com la principal preocupació de les relacions i el desconeixement/confusió entre els mètodes anticonceptius i de barrera disponibles a la xarxa de salut. Apareix la pornografia com a model emergent de relacions sexuals i models de relació entre homes i dones, en contraposició a altres fonts de informació i consulta tradicionals com els amics que segueixen essent la més significativa, la família, els serveis socials i educatius, i Internet. Com a conclusió cal dir que queda palesa la necessitat de incorporar una perspectiva de gènere en la formació curricular dels joves i el fet de seguir replantejant les millors estratègies d’intervenció per una concepció integradora de la sexualitat

Non-Linear and Non-Conventional Speech Processing: Alternative Techniques

This special issue aims to cover some problems related to non-linear and nonconventional speech processing. The origin of this volume is in the ISCA Tutorial and Research Workshop on Non-Linear Speech Processing, NOLISP’09, held at the Universitat de Vic (Catalonia, Spain) on June 25–27, 2009. The series of NOLISP workshops started in 2003 has become a biannual event whose aim is to discuss alternative techniques for speech processing that, in a sense, do not fit into mainstream approaches. A selected choice of papers based on the presentations delivered at NOLISP’09 has given rise to this issue of Cognitive Computation.

On the Selection of Non-Invasive Methods Based on Speech Analysis Oriented to Automatic Alzheimer Disease Diagnosis

The work presented here is part of a larger study to identify novel technologies and biomarkers for early Alzheimer disease (AD) detection and it focuses on evaluating the suitability of a new approach for early AD diagnosis by non-invasive methods. The purpose is to examine in a pilot study the potential of applying intelligent algorithms to speech features obtained from suspected patients in order to contribute to the improvement of diagnosis of AD and its degree of severity. In this sense, Artificial Neural Networks (ANN) have been used for the automatic classification of the two classes (AD and control subjects). Two human issues have been analyzed for feature selection: Spontaneous Speech and Emotional Response. Not only linear features but also non-linear ones, such as Fractal Dimension, have been explored. The approach is non invasive, low cost and without any side effects. Obtained experimental results were very satisfactory and promising for early diagnosis and classification of AD patients.

On Automatic Diagnosis of Alzheimer's Disease based on Spontaneous Speech Analysis and Emotional Temperature

Alzheimer's disease is the most prevalent form of progressive degenerative dementia; it has a high socio-economic impact in Western countries. Therefore it is one of the most active research areas today. Alzheimer's is sometimes diagnosed by excluding other dementias, and definitive confirmation is only obtained through a post-mortem study of the brain tissue of the patient. The work presented here is part of a larger study that aims to identify novel technologies and biomarkers for early Alzheimer's disease detection, and it focuses on evaluating the suitability of a new approach for early diagnosis of Alzheimer’s disease by non-invasive methods. The purpose is to examine, in a pilot study, the potential of applying Machine Learning algorithms to speech features obtained from suspected Alzheimer sufferers in order help diagnose this disease and determine its degree of severity. Two human capabilities relevant in communication have been analyzed for feature selection: Spontaneous Speech and Emotional Response. The experimental results obtained were very satisfactory and promising for the early diagnosis and classification of Alzheimer’s disease patients.

Alzheimer disease diagnosis based on automatic spontaneous speech analysis

Alzheimer’s disease (AD) is the most prevalent form of progressive degenerative dementia and it has a high socio-economic impact in Western countries, therefore is one of the most active research areas today. Its diagnosis is sometimes made by excluding other dementias, and definitive confirmation must be done trough a post-mortem study of the brain tissue of the patient. The purpose of this paper is to contribute to im-provement of early diagnosis of AD and its degree of severity, from an automatic analysis performed by non-invasive intelligent methods. The methods selected in this case are Automatic Spontaneous Speech Analysis (ASSA) and Emotional Temperature (ET), that have the great advantage of being non invasive, low cost and without any side effects.