a new approach for the quantification of synchrony of multivariate non-stationary psychophysiological variables during emotion eliciting stimuli
Clicks: 283
ID: 195683
2015
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
30.0
/100
283 views
43 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #367 of 1,131 articles by views in accounts of chemical research
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 1,131 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Emotion eliciting situations are accompanied by reactions on multiple response variables on subjective, physiological, and behavioral levels. The quantification of the overall simultaneous synchrony of psychophysiological reactions, plays a major role in emotion theories and has received increasing attention in recent research. From a psychometric perspective, the reactions represent multivariate non-stationary intra-individual time series. In this paper, we present a new time-frequency based latent variable approach for the quantification of the synchrony of the responses. The approach is applied to empirical data collected during an emotion eliciting situation. The results are compared with a complementary inter-individual approach of Hsieh et al. (2011). Finally, the proposed approach is discussed in the context of emotion theories, and possible future applications and limitations are provided.
| Reference Key |
ekelava2015frontiersa
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Augustin eKelava;Michael eMuma;Marlene eDeja;Jack Y. Dagdagan;Abdelhak M. Zoubir |
| Journal | accounts of chemical research |
| Year | 2015 |
| DOI |
10.3389/fpsyg.2014.01507
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.