Enhancing cognitive models with affective state for improved understanding and prediction of human socio-cultural behavior

2012 ◽  
pp. 155-165
Keyword(s):  
Affective State ◽  
Cognitive Models ◽  
Cultural Behavior

scholarly journals Diagnostic Cases in Pre-Service Teacher Education: Effects of Text Characteristics and Empathy on Text-Based Cognitive Models

2020 ◽  
Author(s):  
Alexander Wedel ◽  
Christin Rosemarie Müller ◽  
Franziska Greiner
Keyword(s):  
Teacher Education ◽  
Affective State ◽  
Cognitive Models ◽  
Self Report ◽  
Diagnostic Competence ◽  
Case Based Learning ◽  
Education Effects ◽  
Main Effects ◽  
Pre Service Teacher ◽  
Case Based

In teacher education, case-based learning is an efficient method to foster pre-service teachers’ diagnostic competence. To adaptively utilize text-based cases, knowledge about the effect of text characteristics is needed, but still scarce. The present study focuses on the effects of two text characteristics – text style and text subject – and on the effect of empathy on the accuracy of case-based cognitive models. This was examined with an experimental design, in which 391 pre-service teachers read a case in either psycho-narrative or externally focalized style (text style) about test anxiety or dyscalculia (text subject). Afterwards, state-empathy was measured by self-report and cognitive models were assessed with a recognition and verification test. Regression analyses showed no main effects of text characteristics, but moderation effects for text style and affective state-empathy. Implications are drawn for adaptively designing text-based cases and for possible mechanisms of how empathy is involved in diagnostic judgement formation.

Associations Between Self-Report of Emotional State and the EEG Patterns in Affective Disorders Patients

2010 ◽  
Vol 24 (1) ◽  
pp. 33-40 ◽  
Author(s):  
Miroslaw Wyczesany ◽  
Jan Kaiser ◽  
Anton M. L. Coenen
Keyword(s):  
State Energy ◽  
Emotional State ◽  
Spectral Power ◽  
Bipolar Affective Disorder ◽  
Affective State ◽  
Manic Episode ◽  
High Energy ◽  
Self Report ◽  
Major Depressive ◽  
High Tension

The study determines the associations between self-report of ongoing emotional state and EEG patterns. A group of 31 hospitalized patients were enrolled with three types of diagnosis: major depressive disorder, manic episode of bipolar affective disorder, and nonaffective patients. The Thayer ADACL checklist, which yields two subjective dimensions, was used for the assessment of affective state: Energy Tiredness (ET) and Tension Calmness (TC). Quantitative analysis of EEG was based on EEG spectral power and laterality coefficient (LC). Only the ET scale showed relationships with the laterality coefficient. The high-energy group showed right shift of activity in frontocentral and posterior areas visible in alpha and beta range, respectively. No effect of ET estimation on prefrontal asymmetry was observed. For the TC scale, an estimation of high tension was related to right prefrontal dominance and right posterior activation in beta1 band. Also, decrease of alpha2 power together with increase of beta2 power was observed over the entire scalp.

Emotional Reactivity to Visual Content as Revealed by ERP Component Clustering

2015 ◽  
Vol 29 (4) ◽  
pp. 135-146 ◽  
Author(s):  
Miroslaw Wyczesany ◽  
Szczepan J. Grzybowski ◽  
Jan Kaiser
Keyword(s):  
Emotional Reactivity ◽  
Brain Activity ◽  
Affective State ◽  
Occipital Lobe ◽  
Stimulus Onset ◽  
Emotional States ◽  
Neural Basis ◽  
Temporoparietal Junction ◽  
The Right ◽  
The Impact

Abstract. In the study, the neural basis of emotional reactivity was investigated. Reactivity was operationalized as the impact of emotional pictures on the self-reported ongoing affective state. It was used to divide the subjects into high- and low-responders groups. Independent sources of brain activity were identified, localized with the DIPFIT method, and clustered across subjects to analyse the visual evoked potentials to affective pictures. Four of the identified clusters revealed effects of reactivity. The earliest two started about 120 ms from the stimulus onset and were located in the occipital lobe and the right temporoparietal junction. Another two with a latency of 200 ms were found in the orbitofrontal and the right dorsolateral cortices. Additionally, differences in pre-stimulus alpha level over the visual cortex were observed between the groups. The attentional modulation of perceptual processes is proposed as an early source of emotional reactivity, which forms an automatic mechanism of affective control. The role of top-down processes in affective appraisal and, finally, the experience of ongoing emotional states is also discussed.

THE CONCEPT OF COMPETITIVE VALUE CHAINS IN PRODUCTION SYSTEMS AS AN INSTITUTIONAL STRUCTURE OPERATING ON NETWORK PRINCIPLES

2019 ◽  
Vol 6 (3) ◽  
pp. 61-67
Author(s):  
Niyaz Mustjakimovich Abdikeev ◽  
Anton Alekseevich Losev ◽  
Andrey Ivanovich Gaydamaka
Keyword(s):  
Business Processes ◽  
Production Systems ◽  
Institutional Structure ◽  
Cognitive Models ◽  
Value Chains ◽  
High Tech ◽  
Practical Implementation ◽  
Digital Platform ◽  
Software Product ◽  
The Creation

The Concept of competitive value chains in production systems, as an institutional structure operating on network principles, was the impetus for the development of a system of models of inter-industry digital platform for the management and optimization of cooperation of high-tech network production systems. The article describes the ways of integration into business processes of production systems of simulation and cognitive models. The practical implementation of the system of these models is a separate software product - an interdisciplinary digital platform for participants in the creation of new high-tech products and their components.

Sign in / Sign up

Export Citation Format

Share Document