Psychophysiological responses to facial expression of surprise, sadness, and disgust

Gantiva, Carlos; Araujo, Andrés; Calderón, Luz; Gómez, Paola Andrea Benavides; Reina, Fernando

doi:10.1111/ajpy.12222

Cited by 7 publications

(3 citation statements)

References 39 publications

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“…According to previous studies, the facial expressions of disgust elicit stronger activation of the defensive motivational system and the orientation response than the those of sadness (Gantiva et al, 2019). Therefore, it is expected that the associative context of faces will be more advantageous for the acquisition of disgusting connotations than sad connotations for new words.…”

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confidence: 97%

Learning new words’ emotional meanings in the contexts of faces and sentences

Liu

Wang

et al. 2021

Psicológica Journal

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Language is a powerful vehicle for expressing emotions, although the process by which words acquire their emotional meaning remains poorly understood. This study investigates how words acquire emotional meanings using two types of associative contexts: faces and sentences. To this end, participants were exposed to pseudowords repeatedly paired either with faces or with sentences expressing the emotions of disgust, sadness, or neutrality. We examined participants’ acquisition of meanings by testing them in both within-modality (e.g., learning pseudowords with faces and testing them with a new set of faces with the target expressions) and cross-modality generalization tasks (e.g. learning pseudowords with faces and testing them with sentences). Results in the generalization tests showed that the participants in the Face Group acquired disgust and neutral meanings better than participants in the Sentence Group. In turn, participants in the Sentence Group acquired the meaning of sadness better than their counterparts in the Face Group, but this advantage was only manifested in the cross-modality test with faces. We conclude that both contexts are effective for acquiring the emotional meaning of words, although acquisition with faces is more versatile or generalizable.*

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confidence: 97%

Learning new words’ emotional meanings in the contexts of faces and sentences

Liu

Wang

et al. 2021

Psicológica Journal

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“…A previous study [45] also mentioned that cardiac acceleration or deceleration was due to individual differences. In another study [46] about the psychological responses to facial expression in which the image appears as a kind of sudden event, the heart rate decrease and startle reflexes increase indicated that the rising of attention response and preparation for fight-or-flight response of the SNS system.…”

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confidence: 97%

Driver State Detection Based on Cardiovascular System and Driver Reaction Information Using a Graphical Model

Nguyễn¹,

Aoki²,

Son³

et al. 2021

JTTs

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Traffic accidents are mainly caused by human error. In an aging society, the number of accidents attributed to elderly drivers is increasing. One noteworthy reason for this is operation misapplication. Studies have been conducted on the use of human-machine interfaces (HMIs) to inform the driver when he or she makes an error and encourage appropriate actions. However, the driver state during the erroneous action has not been investigated. The purpose of this study is to clarify the difference in the driver's state between normal and surprising situations in a misapplication scenario, utilizing multimodal information such as biometric information and driver operation. We found significant changes in the interaction of components between the normal and the surprised driving state. The results could provide basic knowledge for the future development of a driver assistance system and driver state estimation using data acquired from multiple sensors in the vehicle.

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“…For rodents, the magnitude of movements such as jumping are recorded using a load platform. For example, humans show larger startle responses when viewing or anticipating unpleasant pictures [26][27][28][29][30] or negative emotional expressions 31 , anticipating shock 32 , in the presence of odours previously paired with a stressful social experience 33 , and even when exposed to sweat odours from anxious donors 34 . In rodents, many studies demonstrate potentiated startle in subjects exposed to conditioned stimuli predicting an aversive event 25,28,[35][36][37][38] , an effect that may be mediated by corticotropin-releasing hormone 39 and attenuated by anxiolytic drugs (e.g.…”

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confidence: 99%

Quantifying defence cascade responses as indicators of pig affect and welfare using computer vision methods

Statham

Hannuna

Jones

et al. 2020

Sci Rep

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Affective states are key determinants of animal welfare. Assessing such states under field conditions is thus an important goal in animal welfare science. the rapid Defence cascade (Dc) response (startle, freeze) to sudden unexpected stimuli is a potential indicator of animal affect; humans and rodents in negative affective states often show potentiated startle magnitude and freeze duration. To be a practical field welfare indicator, quick and easy measurement is necessary. Here we evaluate whether DC responses can be quantified in pigs using computer vision. 280 video clips of induced DC responses made by 12 pigs were analysed by eye to provide 'ground truth' measures of startle magnitude and freeze duration which were also estimated by (i) sparse feature tracking computer vision image analysis of 200 Hz video, (ii) load platform, (iii) Kinect depth camera, and (iv) Kinematic data. Image analysis data strongly predicted ground truth measures and were strongly positively correlated with these and all other estimates of Dc responses. characteristics of the Dc-inducing stimulus, pig orientation relative to it, and 'relaxed-tense' pig behaviour prior to it moderated DC responses. Computer vision image analysis thus offers a practical approach to measuring pig DC responses, and potentially pig affect and welfare, under field conditions.

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Psychophysiological responses to facial expression of surprise, sadness, and disgust

Cited by 7 publications

References 39 publications

Learning new words’ emotional meanings in the contexts of faces and sentences

Learning new words’ emotional meanings in the contexts of faces and sentences

Driver State Detection Based on Cardiovascular System and Driver Reaction Information Using a Graphical Model

Quantifying defence cascade responses as indicators of pig affect and welfare using computer vision methods

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