scholarly journals In Search of Learning Indicators: A Study on Sensor Data and IAPS Emotional Pictures

Author(s):  
Haeseon Yun ◽  
Albrecht Fortenbacher ◽  
René Helbig ◽  
Niels Pinkwart
2010 ◽  
Vol 24 (3) ◽  
pp. 186-197 ◽  
Author(s):  
Sandra J. E. Langeslag ◽  
Jan W. Van Strien

It has been suggested that emotion regulation improves with aging. Here, we investigated age differences in emotion regulation by studying modulation of the late positive potential (LPP) by emotion regulation instructions. The electroencephalogram of younger (18–26 years) and older (60–77 years) adults was recorded while they viewed neutral, unpleasant, and pleasant pictures and while they were instructed to increase or decrease the feelings that the emotional pictures elicited. The LPP was enhanced when participants were instructed to increase their emotions. No age differences were observed in this emotion regulation effect, suggesting that emotion regulation abilities are unaffected by aging. This contradicts studies that measured emotion regulation by self-report, yet accords with studies that measured emotion regulation by means of facial expressions or psychophysiological responses. More research is needed to resolve the apparent discrepancy between subjective self-report and objective psychophysiological measures.


2015 ◽  
Vol 29 (4) ◽  
pp. 161-170 ◽  
Author(s):  
Catarina Silva ◽  
Ana Cláudia Ferreira ◽  
Isabel Soares ◽  
Francisco Esteves

Abstract. The present study examined physiological reactivity to emotional stimuli as a function of attachment style. Skin conductance responses (SCRs) and heart rate (HR) changes were simultaneously recorded while participants engaged in a visual attentional task. The task included positive, neutral, and negative emotional pictures, and required the identification of a target (neutral picture rotated 90° to the left or right), among a stream of pictures in which an emotional distracter (positive or negative) was presented. Participants additionally rated each of the emotional distracters for valence and arousal. Behavioral results on the attentional task showed that positive pictures facilitated overall target detection for all participants, compared to negative and neutral pictures, and that anxiously attached participants had significantly lower accuracy scores, relative to the other groups. Affective ratings indicated that positive pictures were rated as being more pleasant than negative ones, although no differences were found in HR changes to picture valence. In contrast, negative pictures were evaluated as being highly arousing. Consistent with this, negative pictures elicited larger SCRs in both insecure anxious and avoidant groups, especially for the anxious while the secure group showed SCRs unaffected by stimuli’s arousal. Present results show that individuals with different attachment styles reveal distinct patterns of attentional bias, appraisal, and physiological reactivity toward emotionally arousing stimuli. These findings further highlight the regulatory function of the attachment system.


2009 ◽  
Author(s):  
Bradley M. Davis ◽  
Woodrow W. Winchester ◽  
Jason D. Zedlitz
Keyword(s):  

2018 ◽  
Vol 18 (1) ◽  
pp. 20-32 ◽  
Author(s):  
Jong-Min Kim ◽  
Jaiwook Baik

2020 ◽  
Vol 20 (4) ◽  
pp. 332-342
Author(s):  
Hyung Jun Park ◽  
Seong Hee Cho ◽  
Kyung-Hwan Jang ◽  
Jin-Woon Seol ◽  
Byung-Gi Kwon ◽  
...  

2020 ◽  
Vol 2020 (1) ◽  
pp. 91-95
Author(s):  
Philipp Backes ◽  
Jan Fröhlich

Non-regular sampling is a well-known method to avoid aliasing in digital images. However, the vast majority of single sensor cameras use regular organized color filter arrays (CFAs), that require an optical-lowpass filter (OLPF) and sophisticated demosaicing algorithms to suppress sampling errors. In this paper a variety of non-regular sampling patterns are evaluated, and a new universal demosaicing algorithm based on the frequency selective reconstruction is presented. By simulating such sensors it is shown that images acquired with non-regular CFAs and no OLPF can lead to a similar image quality compared to their filtered and regular sampled counterparts. The MATLAB source code and results are available at: http://github. com/PhilippBackes/dFSR


Sign in / Sign up

Export Citation Format

Share Document