Search results for "Affective"
showing 10 items of 275 documents
What can the concept of affective scaffolding do for us?
2020
The concept of affective scaffolding designates the various ways in which we manipulate the environment to influence our affective lives. In this article, I present a constructive critique of recent discussion on affective scaffolding. In Part 1, I summarize how the theories of situated mind and niche construction contribute to a multidimensional notion of scaffolding. In Part 2, I focus specifically on affective scaffolding and argue that current ambiguity over its distinctive criteria causes uncertainty as to how the concept can and should be used. In Part 3, I identify and examine two possible responses to the suggested state of conceptual ambiguity. The first, restrictive option is to k…
Human behaviour, benign or malevolent: understanding the human psyche, performing therapy, based on affective mentalization and Matte-Blanco’s bi-log…
2016
International audience; The key concept of Ignacio Matte Blanco’s bi-logic is the unavoidable but variable presence of primary process (symmetric thought) in the secondary one (asymmetric thought) ruling consciousness, for every human being. This variable and dynamic presence allows us, by therapeutic intervention, to convert suitably the symmetric thought into the asymmetric one. The former erupts into the latter by means of affectivity which, accordingly, should be suitably treated to be rightly modulated, regulated and symbolically represented to accomplish the aims of secondary process. This transition has been termed affective mentalization by Peter Fonagy et al. Accordingly, any thera…
Do happy faces really modulate liking for Jackson Pollock art and statistical fractal noise images?
2017
Flexas et al. (2013) demonstrated that happy faces increase preference for abstract art if seen in short succession. We could not replicate their findings. In our first experiment, we tested whether valence, saliency or arousal of facial primes can modulate liking of Jackson Pollock art crops. In the second experiment, the emphasis was on testing another type of abstract visual stimuli which possess similar low-level image features: statistical fractal noise images. Pollock crops were rated significantly higher when primed with happy faces in contrast to neutral faces, but not differently to the no-prime condition. Findings of our study suggest that affective priming with happy faces may be…
Strategies of Eliciting Young People’s Affective and Quick Participation in a Youth Magazine’s Instagram Community
2022
Traditional media have merged with social media and pursue to produce engaging content and form relationships with online audiences. At the same time, social media has allowed young people a venue to practice their basic needs of interaction, identity, and self-expression, and provides communities of shared issues and social/political aspirations. By analysing the Instagram post caption data of the largest Finnish (girls’) youth magazine, this case study investigated what posting strategies used by the magazine elicited youth participation, and how do the strategies and participation align with young people’s media and online communication preferences. The study found the magazine to use va…
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.…
Organizational Learning Capability and Job Satisfaction: an Empirical Assessment in the Ceramic Tile Industry
2009
Organizational learning capability has been considered an essential issue of an organization's effectiveness and potential to innovate and grow. Although its positive effects on organizations and employees are generally assumed, there is no empirical evidence of its positive association with employee attitudes such as job satisfaction. This paper aims to investigate the relationship between organizational learning capability and job satisfaction through the questionnaire responses of 157 employees from eight companies in the Spanish ceramic tile industry. Results suggest that organizational learning capability and job satisfaction are strongly linked.
Moderating influence of organizational justice on the relationship between job insecurity and its outcomes: A multilevel analysis
2010
A great amount of research has illustrated the evident prevalence of job insecurity in working life and its harmful outcomes for employees and organizations. Some authors have identified factors that can reduce this negative influence. However, up until now, most of these factors have only been studied at an individual level, without taking into account the fact that contextual conditions can play a moderating role in organizations. Following this perspective, this article analyses the moderator role of organizational justice and organizational justice climate in the relationship between job insecurity and its outcomes. The study was carried out with a sample of 942 employees from 47 Spanis…