The Role of Facial Emotion Recognition Abilities in Intimate Partner Violence Perpetration

Interpreting facial affects is a key aspect in everyday human interaction and intimate partner relationships. Being unable to accurately recognize facial expressions may prompt an inappropriate reaction from the viewer. Limited literature suggests perpetrators of intimate partner violence are less able to accurately recognize facial expressions. The previous body of literature regarding facial affect recognition (FAR) abilities in intimate partner violence failed to take into account the role empathy and emotion regulation play in the relationship between intimate partner violence and FAR abilities. In addition, prior studies investigated these differences in primarily White Non-Hispanic individuals limiting the generalizability of their findings across cultural domains. The current study investigated whether FAR abilities, empathy, and emotion regulation differed between the non-violent control group and the experimental group comprised of individuals court mandated to attend a Batterer Intervention and Prevention Program (BIPP) as well as subgroups of perpetrators. In addition, the moderating role of empathy and emotion regulation in the relationship between FAR deficits and perpetration of IPV was assessed. The sample in the current study consisted of 59 heterosexual men comprised of 30 perpetrators of IPV and 29 nonaggressive control participants collected from a predominantly Hispanic region. Differing abilities in the recognition of fear were found between the differing samples with the experimental group being less able to identify facial expressions of fear in females. When assessing subtypes of perpetrators, those who perpetrated severe levels of violence against their partner were found to make more mistakes in identifying male expressions of sadness as compared to those who perpetrated minor levels of abuse. Further, exploratory analysis revealed perpetrators of severe IPV received lower scores in the total facial recognition measure, total female expression score, female fear, ‘negative’ expressions overall, and the female ‘negative’ cluster as compared to nonviolent control group indicating the deficits in FAR abilities were more pronounced when investigating those who perpetrated severe levels of IPV in contrast to comparing the nonviolent group with perpetrators of IPV overall. In addition, impulse control, a subscale of the emotion regulation measure, was found to be significantly different between the experimental and control group as the experimental sample endorsed more difficulties in this area. Neither of the subscales in an empathy measure were found to be significantly different between the experimental and control group, although differences were found when comparing a subset of the empathy measure, empathetic concern, between the severe IPV to the control group. Finally, neither empathy nor emotion regulation were found to moderate the relationship between FAR abilities and IPV perpetration. The findings of the current study add to the growing body of literature of factors related to IPV perpetration and socialization

Recognising the ageing face: the role of age in face processing

The effects of age-induced changes on face recognition were investigated as a means of exploring the role of age in the encoding of new facial memories. The ability of participants to recognise each of six previously learnt faces was tested with versions which were either identical to the learnt faces, the same age (but different in pose and expression), or younger or older in age. Participants were able to cope well with facial changes induced by ageing: their performance with older, but not younger, versions was comparable to that with faces which differed only in pose and expression. Since the large majority of different age versions were recognised successfully, it can be concluded that the process of recognition does not require an exact match in age characteristics between the stored representation of a face and the face currently in view. As the age-related changes explored here were those that occur during the period of growth, this in turn implies that the underlying structural physical properties of the face are (in addition to pose and facial expression) invariant to a certain extent

Emphatic agents to reduce user frustration: The effects of varying agent characteristics

There is now growing interest in the development of computer systems which respond to users’ emotion and affect. We report three small scale studies (with a total of 42 participants) which investigate the extent to which affective agents, using strategies derived from human-human interaction, can reduce user frustration within human-computer interaction. The results confirm the previous findings of Klein et al (2002) that such interventions can be effective. We also obtained results that suggest that embodied agents can be more effective at reducing frustration than non-embodied agents, and that female embodied agents may be more effective than male embodied agents. These results are discussed in light of the existing research literature

Dynamic Facial Expression of Emotion Made Easy

Facial emotion expression for virtual characters is used in a wide variety of areas. Often, the primary reason to use emotion expression is not to study emotion expression generation per se, but to use emotion expression in an application or research project. What is then needed is an easy to use and flexible, but also validated mechanism to do so. In this report we present such a mechanism. It enables developers to build virtual characters with dynamic affective facial expressions. The mechanism is based on Facial Action Coding. It is easy to implement, and code is available for download. To show the validity of the expressions generated with the mechanism we tested the recognition accuracy for 6 basic emotions (joy, anger, sadness, surprise, disgust, fear) and 4 blend emotions (enthusiastic, furious, frustrated, and evil). Additionally we investigated the effect of VC distance (z-coordinate), the effect of the VC's face morphology (male vs. female), the effect of a lateral versus a frontal presentation of the expression, and the effect of intensity of the expression. Participants (n=19, Western and Asian subjects) rated the intensity of each expression for each condition (within subject setup) in a non forced choice manner. All of the basic emotions were uniquely perceived as such. Further, the blends and confusion details of basic emotions are compatible with findings in psychology

Retaining Expression on De-identified Faces

© Springer International Publishing AG 2017The extensive use of video surveillance along with advances in face recognition has ignited concerns about the privacy of the people identifiable in the recorded documents. A face de-identification algorithm, named k-Same, has been proposed by prior research and guarantees to thwart face recognition software. However, like many previous attempts in face de-identification, kSame fails to preserve the utility such as gender and expression of the original data. To overcome this, a new algorithm is proposed here to preserve data utility as well as protect privacy. In terms of utility preservation, this new algorithm is capable of preserving not only the category of the facial expression (e.g., happy or sad) but also the intensity of the expression. This new algorithm for face de-identification possesses a great potential especially with real-world images and videos as each facial expression in real life is a continuous motion consisting of images of the same expression with various degrees of intensity.Peer reviewe

The role of human body movements in mate selection

It is common scientific knowledge, that most of what we say within a conversation is not only expressed by the words meaning alone, but also through our gestures, postures, and body movements. This non-verbal mode is possibly rooted firmly in our human evolutionary heritage, and as such, some scientists argue that it serves as a fundamental assessment and expression tool for our inner qualities. Studies of nonverbal communication have established that a universal, culture-free, non-verbal sign system exists, that is available to all individuals for negotiating social encounters. Thus, it is not only the kind of gestures and expressions humans use in social communication, but also the way these movements are performed, as this seems to convey key information about an individuals quality. Dance, for example, is a special form of movement, which can be observed in human courtship displays. Recent research suggests that people are sensitive to the variation in dance movements, and that dance performance provides information about an individuals mate quality in terms of health and strength. This article reviews the role of body movement in human non-verbal communication, and highlights its significance in human mate preferences in order to promote future work in this research area within the evolutionary psychology framework

Discovering Gender Differences in Facial Emotion Recognition via Implicit Behavioral Cues

We examine the utility of implicit behavioral cues in the form of EEG brain signals and eye movements for gender recognition (GR) and emotion recognition (ER). Specifically, the examined cues are acquired via low-cost, off-the-shelf sensors. We asked 28 viewers (14 female) to recognize emotions from unoccluded (no mask) as well as partially occluded (eye and mouth masked) emotive faces. Obtained experimental results reveal that (a) reliable GR and ER is achievable with EEG and eye features, (b) differential cognitive processing especially for negative emotions is observed for males and females and (c) some of these cognitive differences manifest under partial face occlusion, as typified by the eye and mouth mask conditions.Comment: To be published in the Proceedings of Seventh International Conference on Affective Computing and Intelligent Interaction.201