scholarly journals Classifying pretended and evoked facial expressions of positive and negative affective states using infrared measurement of skin temperature

2009 ◽  
Vol 6 (1) ◽  
pp. 1-22 ◽  
Author(s):  
Masood Mehmood Khan ◽  
Robert D. Ward ◽  
Michael Ingleby
2018 ◽  
Vol 115 (43) ◽  
pp. E10013-E10021 ◽  
Author(s):  
Chaona Chen ◽  
Carlos Crivelli ◽  
Oliver G. B. Garrod ◽  
Philippe G. Schyns ◽  
José-Miguel Fernández-Dols ◽  
...  

Real-world studies show that the facial expressions produced during pain and orgasm—two different and intense affective experiences—are virtually indistinguishable. However, this finding is counterintuitive, because facial expressions are widely considered to be a powerful tool for social interaction. Consequently, debate continues as to whether the facial expressions of these extreme positive and negative affective states serve a communicative function. Here, we address this debate from a novel angle by modeling the mental representations of dynamic facial expressions of pain and orgasm in 40 observers in each of two cultures (Western, East Asian) using a data-driven method. Using a complementary approach of machine learning, an information-theoretic analysis, and a human perceptual discrimination task, we show that mental representations of pain and orgasm are physically and perceptually distinct in each culture. Cross-cultural comparisons also revealed that pain is represented by similar face movements across cultures, whereas orgasm showed distinct cultural accents. Together, our data show that mental representations of the facial expressions of pain and orgasm are distinct, which questions their nondiagnosticity and instead suggests they could be used for communicative purposes. Our results also highlight the potential role of cultural and perceptual factors in shaping the mental representation of these facial expressions. We discuss new research directions to further explore their relationship to the production of facial expressions.


2019 ◽  
Vol 50 (5-6) ◽  
pp. 305-321 ◽  
Author(s):  
Philip Furley ◽  
Sebastian Kohlhaas ◽  
Chris Englert ◽  
Arne Nieuwenhuys ◽  
Alex Bertrams

Abstract. Is depleted self-control capacity detectable from thin slices of behavior? In four video-conditions (early-depleted; early-non-depleted; late-depleted; late-non-depleted) untrained observers rated target persons’ available self-control capacity in Experiments 1 and 2 (without sound) and in terms of fatigue and negative affect (Experiment 3). Videos were analyzed with Noldus FaceReader software (Experiment 4). Ego depletion could reliably be detected from thin slices of behavior. Nonverbal expressions coinciding with ego depletion are associated with cues signaling momentary levels of self-control capacity, fatigue, and some negative affective states. FaceReader analyses indicated that facial expressions coinciding with ego depletion are subtle and are extractable from facial dynamics rather than expression intensities. Results indicate that self-control depletion might not only have intrapersonal effects, but also interpersonal effects.


2020 ◽  
Author(s):  
Irene Trilla ◽  
Friedrich Eiserbeck ◽  
Isabel Dziobek

Research has shown that people rely more strongly on self-knowledge when making inferences about the attitudes and beliefs of individuals they perceive similar to themselves, compared to dissimilar others. The current study investigated whether similarity also influences the extent to which individuals project their own affective states during emotion inferences. In a within-subject experiment, the perceived similarity between the participants and a series of target faces was manipulated using a minimal group paradigm. To measure affective self-projections, participants made quick judgments about ambiguous emotional facial expressions of similar and dissimilar targets after being induced positive and negative affective states. Confirming the occurrence of emotional egocentricity, the own affective states biased the emotion attributions, such that facial expressions were judged as happier after positive induction than after negative induction. However, against our hypothesis, the degree of emotional egocentricity did not differ for similar and dissimilar targets. Our results suggest that, contrarily to more evaluative forms of mental state attribution, the tendency to project the own affective states during lower-level processes of emotion inferences is not dependent on the perceived similarity with the other.


1992 ◽  
Vol 22 (1) ◽  
pp. 231-238 ◽  
Author(s):  
Ann D. Futterman ◽  
Margaret E. Kemeny ◽  
David Shapiro ◽  
William Polonsky ◽  
John L. Fahey

SYNOPSISFunctional and phenotypic immunological parameters were examined immediately before, after, and 30 minutes after experimentally-induced short-term positive (happiness) and negative (anxiety, depression) affective states and a neutral state, in five healthy subjects. Results indicated that all affective states induced more immune fluctuations (regardless of the direction) than the neutral state. Furthermore, among the affective states, anxiety induced the most immunological variability and depression the least.


Author(s):  
Nicolas Massaly ◽  
Tamara Markovic ◽  
Meaghan Creed ◽  
Ream Al-Hasani ◽  
Catherine M. Cahill ◽  
...  

2011 ◽  
Vol 23 (4) ◽  
pp. 145-155 ◽  
Author(s):  
Jobin Mathew ◽  
Cheramadathikudyl Scariya Paulose

Neuroendocrine system plays an important role in modulating our body functions and emotions. At the same time, emotions implicate a pivotal role in the regulation of brain function and neuroendocrine system. Negative affective states such as depression and stress are associated with premature mortality and increase the risk of various fatal diseases. It has been suggested that positive affective states are protective and improve our health and productiveness. Several potential mechanisms have been posited to account for these associations including improved health behaviour, direct physiological benefits, enhanced resistance and recovery from stress among individuals with high versus low positive emotional resources. This review summarises information concerning the neuronal and hormonal systems in mood, impact of negative and positive affective states on the level of cortisol, epinephrine, serotonin, dopamine and endorphins. The functional correlation of neuronal and hormonal systems in the development of diseases and their ability to enhance health-relevant biological processes are also evaluated.


Author(s):  
Oryina Kingsley Akputu ◽  
Kah Phooi Seng ◽  
Yun Li Lee

This chapter describes how a machine vision approach could be utilized for tracking learning feedback information on emotions for enhanced teaching and learning with Intelligent Tutoring Systems (ITS). The chapter focuses on analyzing learners’ emotions to show how affective states account for personalization or traceability for learning feedback. The chapter achieves this goal in three ways: (1) by presenting a comprehensive review of adaptive educational learning systems, particularly inspired by machine vision approaches; (2) by proposing an affective model for monitoring learners’ emotions and engagement with educational learning systems; (3) by presenting a case-based technique as an experimental prototype for the proposed affective model, where students’ facial expressions are tracked in the course of studying a composite video lecture. Results of the experiments indicate the superiority of such emotion-aware systems over emotion-unaware ones, achieving a significant performance increment of 71.4%.


Author(s):  
Oryina Kingsley Akputu ◽  
Kah Phooi Seng ◽  
Yun Li Lee

This chapter describes how a machine vision approach could be utilized for tracking learning feedback information on emotions for enhanced teaching and learning with Intelligent Tutoring Systems (ITS). The chapter focuses on analyzing learners' emotions to show how affective states account for personalization or traceability for learning feedback. The chapter achieves this goal in three ways: (1) by presenting a comprehensive review of adaptive educational learning systems, particularly inspired by machine vision approaches; (2) by proposing an affective model for monitoring learners' emotions and engagement with educational learning systems; (3) by presenting a case-based technique as an experimental prototype for the proposed affective model, where students' facial expressions are tracked in the course of studying a composite video lecture. Results of the experiments indicate the superiority of such emotion-aware systems over emotion-unaware ones, achieving a significant performance increment of 71.4%.


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