Search results for "affect"
showing 10 items of 1382 documents
Determinants of evaluation of team performance
1976
Abstract.— The purpose of this study was to examine factors affecting the evaluation of the achievement behavior of a group. Subjects were asked to play the role of team members who have to convey their feedback to the whole team right after the performance. 214 subjects (males and females, high and low achievers) evaluated the achievement behavior of a group, a sports team. They were given knowledge of the group's performance outcomes (5 outcomes from clear win to clear loss), of the group's ability (yes or no) and of the effort (yes or no) expended by the group members. These factors yielded the 20 situations judged by each subject. In addition, half of the subjects evaluated a team perfo…
Associations between success and failure in a face-to-face competition and psychobiological parameters in young women
2012
Within an evolutionary framework, in recent years some questions have been raised about whether women have a pattern of psychobiological response to social stress similar to that described in men. The main objective of this study was to analyze women's patterns of neuroendocrine, cardiovascular and mood responses to an individual competitive task, taking into account the outcome obtained. For this purpose, we measured salivary testosterone (T) and cortisol (C) levels, heart rate (HR) and blood pressure (BP), in addition to mood changes, in 40 healthy young women before, during and after a face-to-face laboratory competition. We also assessed some relevant psychological traits. Our results i…
Competition for resources modulates cell-mediated immunity and stress hormone level in nestling collared doves (Streptopelia decaocto)
2008
International audience; Competitive stress imposed by hatching asynchrony may affect developmental trajectories of offsprings by regulating resource allocation between growth and other fitness-related traits. For instance, the down-regulation of immunity is a commonly observed phenomenon under stressful conditions. However, physiological mechanisms that regulate resources allocation to growth and immune functions in response to competition for resources, as well as inter-sexual differences in physiological strategies, are still poorly investigated. To partially fill this gap, we first conducted a descriptive study on chicks of the collared dove (Streptopelia decaocto), a species producing t…
Health on the net: the doctor answers
2011
This study is intended to provide new insights into web-based discourse on medical exchanges in doctor-patient communication. The global net system have certainly played an important role in the increase and the following modification of communication dynamics. However, in particular situation such as doctor-patient interviews, computer mediated communication is still a limit. This paper is based on two lines of research in language studies, namely the studies of language corpus and studies of communication in health encounters. The corpus is formed by the medical entries that appeared in biomedical/health service sites. The samples collected were analysed in order to find discourse pattern…
Combining Supervised and Unsupervised Learning to Discover Emotional Classes
2017
Most previous work in emotion recognition has fixed the available classes in advance, and attempted to classify samples into one of these classes using a supervised learning approach. In this paper, we present preliminary work on combining supervised and unsupervised learning to discover potential latent classes which were not initially considered. To illustrate the potential of this hybrid approach, we have used a Self-Organizing Map (SOM) to organize a large number of Electroencephalogram (EEG) signals from subjects watching videos, according to their internal structure. Results suggest that a more useful labelling scheme could be produced by analysing the resulting topology in relation t…
Feature Extraction and Selection for Pain Recognition Using Peripheral Physiological Signals.
2019
In pattern recognition, the selection of appropriate features is paramount to both the performance and the robustness of the system. Over-reliance on machine learning-based feature selection methods can, therefore, be problematic; especially when conducted using small snapshots of data. The results of these methods, if adopted without proper interpretation, can lead to sub-optimal system design or worse, the abandonment of otherwise viable and important features. In this work, a deep exploration of pain-based emotion classification was conducted to better understand differences in the results of the related literature. In total, 155 different time domain and frequency domain features were e…
Depression Assessment by Fusing High and Low Level Features from Audio, Video, and Text
2016
International audience; Depression is a major cause of disability world-wide. The present paper reports on the results of our participation to the depression sub-challenge of the sixth Audio/Visual Emotion Challenge (AVEC 2016), which was designed to compare feature modalities ( audio, visual, interview transcript-based) in gender-based and gender-independent modes using a variety of classification algorithms. In our approach, both high and low level features were assessed in each modality. Audio features were extracted from the low-level descriptors provided by the challenge organizers. Several visual features were extracted and assessed including dynamic characteristics of facial elements…
Machine Learning Techniques for Automatic Depression Assessment
2018
Depression is one of the most common mood disorder that is inherently related to emotions, involving bad mood, low self-esteem and loss of interest in normal pleasurable activities. The aim of this work is to develop a framework based on the dataset provided by AVEC'14 for depression assessment. The proposed work presents two different motion representation methods: a) Gabor Motion History Image (GMHI), and b) Motion History Image (MHI). Several combinations of appearance-based low level features are extracted from both motion representations. These features were further combined with statistically derived features, and used for training and testing with several machine learning techniques.…
Foreign Language Teacher Burnout: A Research Proposal
2011
Burnout is a serious psychological syndrome that can affect not only an individual’s well-being, but also the functioning of whole organisations, such as schools. It consists of three basic stages: exhaustion, depersonalization, and reduced personal accomplishment. Not only personal variables, but also work-setting characteristics influence burnout. The teaching profession is claimed to be extremely demanding, hence teachers seem to be prone to burnout. This may be the reason why the syndrome has already been investigated in reference to teachers of various subjects or school levels. Yet, there has been no research to date attempting to investigate burnout in foreign language teachers. It m…
El modelado familiar y el papel educativo de los padres en la etiología del consumo de alcohol en los adolescentes
1998
BACKGROUND: This analysis is aimed at determining the relationships existing between alcoholic beverage consumption on the part of adolescents and two psychosocial variables: the consumption of alcohol on the part of other members of the family system and the paternal educational strategies. METHODS: A sample of 1100 adolescents of both sexes was taken, ranging 15 to 19 years of age in the city of Valencia. Three variables were evaluated using the pertinent tools: a) paternal family socializing strategies; b) the adolescents feeling about the consumption of seven types of alcoholic beverages by the members of his/her family; and c) consumption of seven different types of alcoholic beverage…