Fear and Anger Regulation in Infancy: Effects on the Temporal Dynamics of Affective Expression

Kristin A. Buss; H. Hill Goldsmith

doi:10.2307/1132171

Fear and Anger Regulation in Infancy: Effects on the Temporal Dynamics of Affective Expression

Child Development ◽

10.1111/j.1467-8624.1998.tb06195.x ◽

1998 ◽

Vol 69 (2) ◽

pp. 359-374 ◽

Cited By ~ 156

Author(s):

Kristin A. Buss ◽

H. Hill Goldsmith

Keyword(s):

Temporal Dynamics ◽

Anger Regulation ◽

Affective Expression

Download Full-text

The individual dynamics of affective expression on social media

EPJ Data Science ◽

10.1140/epjds/s13688-019-0219-3 ◽

2020 ◽

Vol 9 (1) ◽

Cited By ~ 5

Author(s):

Max Pellert ◽

Simon Schweighofer ◽

David Garcia

Keyword(s):

Social Media ◽

Text Analysis ◽

Affective Computing ◽

Large Scale ◽

Temporal Dynamics ◽

Psychological Research ◽

Affective States ◽

Affective Expression ◽

Affective Dynamics ◽

Positive Valence

AbstractUnderstanding the temporal dynamics of affect is crucial for our understanding human emotions in general. In this study, we empirically test a computational model of affective dynamics by analyzing a large-scale dataset of Facebook status updates using text analysis techniques. Our analyses support the central assumptions of our model: After stimulation, affective states, quantified as valence and arousal, exponentially return to an individual-specific baseline. On average, this baseline is at a slightly positive valence value and at a moderate arousal point below the midpoint. Furthermore, affective expression, in this case posting a status update on Facebook, immediately pushes arousal and valence towards the baseline by a proportional value. These results are robust to the choice of the text analysis technique and illustrate the fast timescale of affective dynamics through social media text. These outcomes are of high relevance for affective computing, the detection and modeling of collective emotions, the refinement of psychological research methodology, and the detection of abnormal, and potentially pathological, individual affect dynamics.

Download Full-text

The individual dynamics of affective expression on social media

10.31234/osf.io/m29yr ◽

2019 ◽

Author(s):

Max Pellert ◽

David Garcia ◽

Simon Schweighofer

Keyword(s):

Social Media ◽

Text Analysis ◽

Affective Computing ◽

Large Scale ◽

Temporal Dynamics ◽

Psychological Research ◽

Affective States ◽

Affective Expression ◽

Affective Dynamics ◽

Positive Valence

Understanding the temporal dynamics of affect is crucial for our understanding human emotions in general. In this study, we empirically test a computational model of affective dynamics by analyzing a large-scale dataset of Facebook status updates using text analysis techniques. Our analyses support the central assumptions of our model: After stimulation, affective states, quantified as valence and arousal, exponentially return to an individual-specific baseline. On average, this baseline is at a slightly positive valence value and at a moderate arousal point below the midpoint. Furthermore, affective expression, in this case posting a status update on Facebook, immediately pushes arousal and valence towards the baseline by a proportional value. These results are robust to the choice of the text analysis technique and illustrate the fast timescale of affective dynamics through social media text. These outcomes are of high relevance for affective computing, the detection and modeling of collective emotions, the refinement of psychological research methodology, and the detection of abnormal, and potentially pathological, individual affect dynamics.

Download Full-text

Nonlinear Spatio-Temporal Dynamics and Chaos in Semiconductors

10.1017/cbo9780511524615 ◽

2001 ◽

Cited By ~ 136

Author(s):

Eckehard Schöll

Keyword(s):

Temporal Dynamics ◽

Spatio Temporal

Download Full-text

Effects of Monetary Incentives on Task Switching

Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie) ◽

10.1027/1618-3169/a000146 ◽

2012 ◽

Vol 59 (4) ◽

pp. 216-226 ◽

Cited By ~ 36

Author(s):

Thomas Kleinsorge ◽

Gerhard Rinkenauer

Keyword(s):

Task Switching ◽

Temporal Dynamics ◽

Reward Processing ◽

General Level ◽

Monetary Incentives ◽

Switch Costs ◽

Expectancy Effect ◽

Reward Expectancy ◽

Trial Basis

In two experiments, effects of incentives on task switching were investigated. Incentives were provided as a monetary bonus. In both experiments, the availability of a bonus varied on a trial-to-trial basis. The main difference between the experiments relates to the association of incentives to individual tasks. In Experiment 1, the association of incentives to individual tasks was fixed. Under these conditions, the effect of incentives was largely due to reward expectancy. Switch costs were reduced to statistical insignificance. This was true even with the task that was not associated with a bonus. In Experiment 2, there was a variable association of incentives to individual tasks. Under these conditions, the reward expectancy effect was bound to conditions with a well-established bonus-task association. In conditions in which the bonus-task association was not established in advance, enhanced performance of the bonus task was accompanied by performance decrements with the task that was not associated with a bonus. Reward expectancy affected mainly the general level of performance. The outcome of this study may also inform recently suggested neurobiological accounts about the temporal dynamics of reward processing.

Download Full-text