When the physical coldness in the viewer's environment leads to identification with a suffering protagonist

Based on theories of narrative engagement and embodied cognition, we hypothesised that a fit between the psychological state of a protagonist and the physical sensation of the viewer would enhance the subsequent identification with the protagonist, but not para-social relationship with him (seeing the protagonist as a friend). We also hypothesised that identification and a para-social relationship would lead to distinct effects on attitudes related to the narrative. Participants (N = 60) were randomly assigned to either a warmed or cooled room where they watched a movie clip alone in which a suffering protagonist wanted to undergo euthanasia while his close others wanted him to stay alive. Then, the participants answered a questionnaire measuring their identification and para-social relationship with the protagonist and their attitudes toward euthanasia. In accordance with the hypotheses, the results demonstrated that feeling cold enhanced identification with the suffering protagonist. However, the environmental temperature did not affect the development of para-social relationships. Moreover, identification with the suffering protagonist contributed to acceptance of his attitudes, reflected in more positive views of euthanasia. In contrast, having a para-social relationship with the protagonist resulted in negative attitudes toward euthanasia.     

Identification of partially presented meaningless patterns: effect of completeness and distinctiveness

The role of parts versus that of wholes in a visual perception has been debated for a century as two opposite approaches, namely, an analytic and holistic. In two psychophysical experiments we investigated whether the stimulus completeness or distinctiveness is essential for identification of the partially presented patterns under brief presentation conditions. For this purpose, a special class of stimuli was constructed in such a way that the patterns could be divided into informative and redundant parts. The first experiment clearly demonstrated the importance of the redundant part for effective pattern identification for the majority of subjects. The second experiment revealed the direct dependence of identification accuracy of the patterns on their completeness (2, 3, 4, 5, or 6 elements). Familiarisation of subjects with the test stimuli influenced the strength of this dependence.     

Identification of stuttering in bilingual Lebanese children across two presentation modes

The goals of this study were to investigate whether Lebanese speech-language pathologists (SLPs) are accurate at identifying stuttering in bilingual children, to examine whether the use of video-recordings instead of audio-recordings allows for better analyses, and to explore factors that may affect the SLPs’ judgments. In phase 1, 32 SLPs listened to narrative samples in Lebanese Arabic of 6 children who do not stutter (CWNS) and 2 who stutter (CWS). They were instructed to label each child as stuttering or not, and to explain what motivated their decisions. Afterwards, they were asked to provide background information by means of a questionnaire. In phase 2, they were asked to judge the same speech samples on the basis of video-recordings, and to explain for each child which speech characteristics they relied on to make their decisions. The results showed that misidentification happens frequently, is significantly more likely to happen with CWNS than with CWS, but also varies within these categories. Moreover, the use of video-recordings does not provide more reliable analyses of speech disfluencies, and speech samples’ characteristics and bilingual profile rather than SLPs’ characteristics seem to influence the judgments. Qualitative analyses indicate that, in the current study, misidentification may be driven by neglecting or misinterpreting physical concomitants. In general, the findings indicate that identifying and analyzing speech fluency behaviors remain a challenging perceptual task, which underlies the need for developing consistent methods for training students and clinicians in identifying stuttering, especially in a bilingual context.     

A Meta‐Analysis of the ELM's Argument Quality × Processing Type Predictions

One of the key dual‐process model predictions is that audiences will be more persuaded by strong persuasive arguments than weak and that this difference in persuasiveness will be larger when they are processing centrally rather than peripherally. A series of meta‐analyses were conducted (k = 134) to assess this claim and explore moderators. The data were generally consistent with the hypothesized interaction. The effects tended to be smaller when pre‐post designs were used rather than post‐test only. Assessments of the strength of the inductions did not tend to be associated with the size of the effects associated with those inductions.     

Mother as Messenger of Love and Death

For mothers, the act of giving birth also brings them close to death as well as other human experiences. The mother represents the dual structure of life and death in the mind. It was this unconscious convergence that stirred the interest in reconsidering the subject of the loss of children and its effect on individual development. This article demonstrates what happens when death triumphs over life chronologically close to birth. The author presents a clinical report on a six-year-old girl, Dinah, who suffered the effects of the mother's mourning. She illustrates the therapeutic approach to mourning over time, at moments in which the shadow of pain is more clearly present. These are moments when the loss must be brought to consciousness, because of the unconscious effects it has on the survivors. Dinah's problems were not caused by the loss itself, but rather the fact that the loss occurred in a phase of her emotional development when she was only a baby an unable to react in a mature manner.     

Story Perspective and Character Similarity as Drivers of Identification and Narrative Persuasion

Identification with a character is an important mechanism of narrative persuasion. In 2 studies, the impact of character similarity on identification was pitted against that of story perspective. Participants read stories in which a lawyer (Study 1) and a general practitioner (GP; Study 2) had a conflict with another character. Perspective was manipulated by describing the events as experienced and narrated by the lawyer (GP) or their opponent. In Study 1 (N = 120), 60 participants were law students, in Study 2 (N = 120) 60 were medical students. Both perspective and program of study influenced identification, which mediated the impact of perspective on attitude. If participants felt highly similar to the professional's opponent, the mediating effect of identification was blocked.     

These two are different. Yes,they’re the same: Choice blindness for facial identity

We examined the manipulability of face identity judgements by combining a sorting task for unfamiliar faces with a standard test of choice blindness. In Experiment 1, 50 participants completed a sorting task and then justified grouping specific pairs of photos together or apart. On manipulated trials, the presented pairings were different from those the participants had actually produced. Detection rates for these identity manipulations were strikingly low (∼21%). Moreover, participants readily provided justifications for identity decisions that they had not made, typically referring to specific facial features. Experiment 2 was conducted along similar lines and confirmed that lower task difficulty and higher confidence in one’s face identity judgements increase detection rates. We conclude that observers can easily be led to believe that they made identity judgements they did not make. As well as underscoring the fragility of unfamiliar face matching, our findings have implications for identity judgements in legal settings.     

An intelligent facial expression recognition system with emotion intensity classification

Facial expressions play a crucial role in emotion recognition as compared to other modalities. In this work, an integrated network, which is capable of recognizing emotion intensity levels from facial images in real time using deep learning technique is proposed. The cognitive study of facial expressions based on expression intensity levels are useful in applications such as healthcare, coboting, Industry 4.0 etc. This work proposes to augment emotion recognition with 2 other important parameters, valence and emotion intensity. This helps in better automated responses by a machine to an emotion. The valence model helps in classifying emotion as positive and negative emotions and discrete model classifies emotions as happy, anger, disgust, surprise and neutral state using Convolution Neural Network (CNN). Feature extraction and classification are carried out using CMU Multi-PIE database. The proposed architecture achieves 99.1% and 99.11% accuracy for valence model and discrete model respectively for offline image data with 5-fold cross validation. The average accuracy achieved in real time for valance model and discrete model is 95% & 95.6% respectively. Also, this work contributes to build a new database using facial landmarks, with three intensity levels of facial expressions which helps to classify expressions into low, mild and high intensities. The performance is also tested for different classifiers. The proposed integrated system is configured for real time Human Robot Interaction (HRI) applications on a test bed consisting of Raspberry Pi and RPA platform to assess its performance.     

Attention in risky choice

Previous research on the processes involved in risky decisions has rarely linked process data to choice directly. We used a simple measure based on the relative amount of attentional deployment to different components (gains/losses and their probabilities) of a risky gamble during the choice process, and we related this measure to the actual choice. In an experiment we recorded the decisions, decision times, and eye movements of 80 participants who made decisions on 11 choice problems. We used the number of eye fixations and fixation transitions to trace the deployment of attention during the choice process and obtained the following main results. First, different components of a gamble attracted different amounts of attention depending on participants' actual choice. This was reflected in both the number of fixations and the fixation transitions. Second, the last-fixated gamble but not the last-fixated reason predicted participants' choices. Third, a comparison of data obtained with eye tracking and data obtained with verbal protocols from a previous study showed a large degree of convergence regarding the process of risky choice. Together these findings tend to support dimensional decision strategies such as the priority heuristic.