A film set for the elicitation of emotion in research: A comprehensive catalog derived from four decades of investigation

Emotions are highly influential to many psychological processes. Indeed, research employing emotional stimuli is rapidly escalating across the field of psychology. However, challenges remain regarding discrete evocation of frequently co-elicited emotions such as amusement and happiness, or anger and disgust. Further, as much contemporary work in emotion employs college students, we sought to additionally evaluate the efficacy of film clips to discretely elicit these more challenging emotions in a young adult population using an online medium. The internet is an important tool for investigating responses to emotional stimuli, but validations of emotionally evocative film clips across laboratory and web-based settings are limited in the literature. An additional obstacle is identifying stimuli amidst the numerous film clip validation studies. During our investigation, we recognized the lack of a categorical database to facilitate rapid identification of useful film clips for individual researchers’ unique investigations. Consequently, here we also sought to produce the first compilation of such stimuli into an accessible and comprehensive catalog. We based our catalog upon prior work as well as our own, and identified 24 articles and 295 film clips from four decades of research. We present information on the validation of these clips in addition to our own research validating six clips using online administration settings. The results of our search in the literature and our own study are presented in tables designed to facilitate and improve a selection of highly valid film stimuli for future research.     

Film clips and narrative text as subjective emotion elicitation techniques

Film clips and narrative text are useful techniques in eliciting emotion in a laboratory setting but have not been examined side-by-side using the same methodology. This study examined the self-identification of emotions elicited by film clip and narrative text stimuli to confirm that selected stimuli appropriately target the intended emotions. Seventy participants viewed 30 film clips, and 40 additional participants read 30 narrative texts. Participants identified the emotion experienced (happy, sad, angry, fearful, neutral—six stimuli each). Eighty-five percent of participants self-identified the target emotion for at least two stimuli for all emotion categories of film clips, except angry (only one) and for all categories of narrative text, except fearful (only one). The most effective angry text was correctly identified 74% of the time. Film clips were more effective in eliciting all target emotions in participants for eliciting the correct emotion (angry), intensity rating (happy, sad), or both (fearful).     

A standardised database of Chinese emotional film clips

Film clips are widely used in emotion research due to their relatively high ecological validity. Although researchers have established various film clip sets for different cultures, the few that exist related to Chinese culture do not adequately address positive emotions. The main purposes of the present study were to establish a standardised database of Chinese emotional film clips that could elicit more categories of reported positive emotions compared to the existing databases and to expand the available film clips that can be used as neutral materials. Two experiments were conducted to construct the database. In experiment 1, 111 film clips were selected from more than one thousand Chinese movies for preliminary screening. After 315 participants viewed and evaluated these film clips, 39 excerpts were selected for further validation. In experiment 2, 147 participants watched and rated these 39 film clips, as well as another 8 excerpts chosen from the existing databases, to compare their validity. Eventually, 22 film excerpts that successfully evoked three positive emotions (joy, amusement, and tenderness), four negative emotions (moral disgust, anger, fear, and sadness), and neutrality formed the standardised database of Chinese emotional film clips.     

Echoing the emotions of others: empathy is related to how adults and children map emotion onto the body

ABSTRACT

Empathy involves a mapping between the emotions observed in others and those experienced in one’s self. However, effective social functioning also requires an ability to differentiate one’s own emotional state from that of others. Here, we sought to examine the relationship between trait measures of empathy and the self-other distinction during emotional experience in both children and adults. We used a topographical self-report method (emBODY tool) in which participants drew on a silhouette of a human body where they felt an emotional response while watching film and music clips, as well as where they believed the character in the film or performer was feeling an emotion. We then assessed how the degree of overlap between the bodily representation of self versus other emotions related to trait empathy. In adults, the degree of overlap in the body maps was correlated with Perspective Taking. This relationship between cognitive empathy and degree of overlap between self and other was also found with children (8–11 years old), even though children performed worse on the task overall. The results suggest that mapping emotions observed or imagined in other’s bodies onto our own is related to the development of empathy.     

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.     

When voices get emotional: A corpus of nonverbal vocalizations for research on emotion processing

Nonverbal vocal expressions, such as laughter, sobbing, and screams, are an important source of emotional information in social interactions. However, the investigation of how we process these vocal cues entered the research agenda only recently. Here, we introduce a new corpus of nonverbal vocalizations, which we recorded and submitted to perceptual and acoustic validation. It consists of 121 sounds expressing four positive emotions (achievement/triumph, amusement, sensual pleasure, and relief) and four negative ones (anger, disgust, fear, and sadness), produced by two female and two male speakers. For perceptual validation, a forced choice task was used (n = 20), and ratings were collected for the eight emotions, valence, arousal, and authenticity (n = 20). We provide these data, detailed for each vocalization, for use by the research community. High recognition accuracy was found for all emotions (86 %, on average), and the sounds were reliably rated as communicating the intended expressions. The vocalizations were measured for acoustic cues related to temporal aspects, intensity, fundamental frequency (f0), and voice quality. These cues alone provide sufficient information to discriminate between emotion categories, as indicated by statistical classification procedures; they are also predictors of listeners’ emotion ratings, as indicated by multiple regression analyses. This set of stimuli seems a valuable addition to currently available expression corpora for research on emotion processing. It is suitable for behavioral and neuroscience research and might as well be used in clinical settings for the assessment of neurological and psychiatric patients. The corpus can be downloaded from Supplementary Materials.     

On motivational influences,moving beyond valence,and integrating dimensional and discrete views of emotion

ABSTRACT

The field of cognition and emotion has grown considerably over the past 30 years, with an increased emphasis on the relationships between emotional and motivational components and how they contribute to basic perceptual, cognitive, and neural processes. For instance, research has revealed that emotion often influences these processes via emotion’s relationship with motivational dimensions, as when positive emotions low versus high in approach motivational intensity have different influences on attentional and other cognitive processes. Research has also revealed that motivational direction (approach vs. withdrawal) and affective valence (positive vs. negative) are not as closely related as once was theorised; that is, positive affect is not inevitably associated with approach motivation and negative affect is not inevitably associated with withdrawal motivation. These and other lines of research with anger have suggested that the field needs to move beyond a focus on affective valence and it needs to consider an integration of dimensional and discrete models of emotion. The article also includes some suggestions for improving methods of measuring and inducing emotions and some recommendations for future researchers.     

Establishment and replication of emotion regulation profiles: implications for psychological health

Background and Objectives: A promising method of capturing the complex nature of emotion regulation is to assess composite profiles of regulation (i.e., default pattern of regulation across multiple strategies). However, it remains unclear whether regulatory profiles demonstrate consistency across samples and in relation to mental health. Design: Two studies are presented here. Both utilized a cross-sectional design, and the second study presents a replication of the first. Method: Both studies utilized self-report data from independent undergraduate samples to perform latent profile analyses of emotion regulation use. Results: Studies 1 and 2 demonstrated evidence for four replicable regulatory profiles: Adaptive, Accepting (with or without Suppression), Non-accepting, and Maladaptive. Profiles were also related to symptoms of depression and anxiety, such that those consistently relying on adaptive strategies reported lower symptoms than those relying more heavily on maladaptive strategies. Conclusions: These findings clarify previous work which tied regulatory profiles to psychological health by extending a person-centered approach to understanding the ways in which individuals regulate their emotions.     

Viewing injustice: greater emotion heterogeneity with age

The present study examined age differences in emotion heterogeneity, defined as the experience of co-occurring negative emotions. Younger and older European American and Mexican American participants (N=183) viewed film clips depicting scenes of injustice. Younger adults were more likely to report a single primary negative emotion, whereas older adults reported greater emotion heterogeneity, a finding consistent across gender and ethnicity. In addition, greater emotion heterogeneity was related to a greater number of life experiences. Future directions concerning the meaning of and possible implications for this age difference are discussed.     

The time course of positive and negative emotion in dysphoria

Prior research has demonstrated attenuated reactivity to positive stimuli among depressed and dysphoric individuals, and inconsistent evidence regarding attenuated reactivity to negative stimuli. However, such research has measured experiential reactivity to emotion stimuli in one static moment, which may obscure important information regarding the time course and dynamics of emotion. The current study employed continuous measurement of experiential emotion during and following the presentation of emotion eliciting film clips. Results revealed that dysphoric individuals (n = 16), as compared to nondysphoric controls (n = 31), were equally responsive to positive and negative film clips in terms of peak reactivity during and following the clip. The most striking difference between groups was that dysphoric individuals showed a shortened time course of positive emotion. These emotion dynamics suggest that perhaps the most important aspect of positive emotion regulation in the context of depressed mood is not the inability to initially react to a positive experience, but rather the inability to maintain positive emotion. Possible underlying mechanisms of positive emotion regulation are discussed, and implications for intervention are highlighted.     

Semantic and affective manifestations of ambi (valence)

ABSTRACT

People sometimes report both pleasant and unpleasant feelings when presented with affective stimuli. However, what is reported as “mixed emotions” might reflect semantic knowledge about the stimulus (Russell, J. A. (2017). Mixed emotions viewed from the psychological constructionist perspective. Emotion Review, 9(2), 111–117). The following research examines to what degree self-reported mixed emotions represent actual feelings compared to knowledge about the stimulus. In a series of three experiments, participants reported either their feelings or their knowledge in response to affective stimuli. In Experiment 1, we sampled the entire IAPS pictorial space and examined the proportion of mixed emotion ratings using feelings-focused and knowledge-focused self-reports. We found a higher degree of mixed emotions under knowledge-focused than feelings-focused self-reports. In Experiment 2, we used a priori selected pictures to elicit mixed emotions. The proportion of mixed emotions was again higher under knowledge-focused instructions. In Experiment 3, we used movie clips that were previously used to elicit mixed emotions. In contrast to Experiments 1 and 2, there was no difference between feelings-focused and knowledge-focused self-reports. The results suggest a strong semantic component and a weak experiential component of self-reports in the case of pictorial stimuli. However, ambivalent movie clips elicited a stronger experiential component, thus supporting the existence of mixed emotions at the level of feelings.     

Inside-out: comparing internally generated and externally generated basic emotions

A considerable number of mood induction (MI) procedures have been developed to elicit emotion in normal and clinical populations. Although external procedures (e.g., film clips, pictures) are widely used, a number of experiments elicit emotion by using self-generated procedures (e.g., recalling an emotional personal episode). However, no study has directly compared the effectiveness of two types of internal versus external MI across multiple discrete emotions. In the present experiment, 40 undergraduate students watched film clips (external procedure) and recalled personal events (internal procedure) inducing 4 basic emotions (fear, anger, joy, sadness) and later completed a self-report questionnaire. Remarkably, both internal and external procedures elicited target emotions selectively, compared with nontarget emotions. When contrasting the intensity of target emotions, both techniques showed no significant differences, with the exception of Joy, which was more intensely elicited by the internal procedure. Importantly, when considering the overall level of intensity, it was always greater in the internal procedure, for each stimulus. A more detailed investigation of the data suggest that recalling personal events (a type of internal procedure) generates more negative and mixed blends of emotions, which might account for the overall higher intensity of the internal mood induction.     

Cognition and emotion: a plea for theory

ABSTRACT

Research on cognition and emotion during the past 30 years has made reasonable progress in theory, methods and empirical research. New theories of the cognition–emotion relation have been proposed, emotion research has become more interdisciplinary, and improved methods of emotion measurement have been developed. On the empirical side, the main achievement of the past 30 years is seen to consist in the reduction of the set of serious contenders for a theory of emotions. Still, several important issues are not fully resolved, including the computational implementation of appraisal processes, the nature of emotions, and the link between emotions and actions. Also, quantitative theories of the cognition–emotion relation need to be refined and tested, and improved theories of the link between emotions and bodily and facial expressions need to be developed. To counter the dangers of theoretical fragmentation and knowledge loss, more efforts should be devoted to the analysis, reconstruction, comparison and integration of important theories and hypotheses in the field of emotion, as well as to the systematization of arguments in favor and against these theories and hypotheses.     

Reading Emotion From Mouse Cursor Motions: Affective Computing Approach

Affective computing research has advanced emotion recognition systems using facial expressions, voices, gaits, and physiological signals, yet these methods are often impractical. This study integrates mouse cursor motion analysis into affective computing and investigates the idea that movements of the computer cursor can provide information about emotion of the computer user. We extracted 16–26 trajectory features during a choice‐reaching task and examined the link between emotion and cursor motions. Participants were induced for positive or negative emotions by music, film clips, or emotional pictures, and they indicated their emotions with questionnaires. Our 10‐fold cross‐validation analysis shows that statistical models formed from “known” participants (training data) could predict nearly 10%–20% of the variance of positive affect and attentiveness ratings of “unknown” participants, suggesting that cursor movement patterns such as the area under curve and direction change help infer emotions of computer users.     

The structure of emotion: An empirical comparison of six models

There are a number of conflicting approaches to the problem of the relationship between different emotions. One category of models focuses on the valence of emotional experience and typically reports evidence for dimensional approaches to emotion. A second category of models argues for the possibility of discrete basic emotions, but typically focuses on evidence from emotion systems other than conscious experience. In the present study, a list of emotion terms was drawn up that were derived conceptually from a set of basic emotions. A group of participants filled out a questionnaire that asked how much in general they experienced each of the emotions. A structural equation modelling approach was then used with the resultant dataset, an approach that permitted the comparison of six different models that ranged from the positive-negative affect models to models of discrete basic emotions. The analyses gave support for a set of five basic emotions but only when these were allowed to correlate with each other. Implications for theories of emotion are considered.     

The contributory role of worry in emotion generation and dysregulation in generalized anxiety disorder

The role of worry in generalized anxiety disorder (GAD) has been posited to serve as an avoidance of emotional experience, and emotion regulation deficits in GAD have been found in several previous studies. It remains unclear whether those with GAD experience more dysregulated emotions during periods of euthymia and positive affect or whether these deficits occur only during periods of worry. Individuals with GAD (with and without co-occurring dysphoria) and non-anxious controls were randomly assigned to receive a worry, neutral, or relaxation induction. Following the induction, all participants viewed a film clip documented to elicit sadness. Intensity of emotions and emotion regulation were examined following the induction period and film clip. The results revealed that, regardless of co-occurring dysphoria, individuals with GAD in the worry condition experienced more intense depressed affect than GAD participants in the other conditions and controls participants. In contrast, presence of worry appeared to have less impact on indices of emotion dysregulation, which were greater in participants with GAD compared to controls, but largely insensitive to contextual effects of worry or of relaxation. Following film viewing, both GAD participants with and without dysphoria displayed poorer understanding, acceptance, and management of emotions than did controls. However, acceptance and management deficits were most pronounced in individuals with both GAD and co-occurring dysphoria. Implications for the role of emotions in conceptualization and treatment of GAD are discussed.     

Appraisals,emotions and emotion regulation: An integrative approach

The present work aims to investigate the relation between appraisals, emotions, and emotion regulation strategies by creating a structural equation model which integrates these three aspects of the emotion process. To reach this aim, Italian students (N = 610) confronted with their high school diploma examination completed a questionnaire 3 weeks before the beginning of the exam. Results showed that they experienced primarily three types of emotions—anxiety/fear, frustration/powerlessness, positive emotions—which were related to specific appraisal profiles. Importantly, these appraisal profiles and emotions were associated with the use of different strategies for regulating emotions: anxiety/fear was associated with focusing on the exam, drug use, and an inability to distance oneself from the exam; frustration/powerlessness, with use of suppression, distancing, and drugs; positive emotion, with reappraisal and problem focused strategies. The effectiveness of these different strategies will be discussed.     

A discrete emotions approach to positive emotion disturbance in depression

Converging findings suggest that depressed individuals exhibit disturbances in positive emotion. No study, however, has ascertained which specific positive emotions are implicated in depression. We report two studies that compare how depressive symptoms relate to distinct positive emotions at both trait and state levels of assessment. In Study 1 (N=185), we examined associations between depressive symptoms and three trait positive emotions (pride, happy, amusement). Study 2 compared experiential and autonomic reactivity to pride, happy, and amusement film stimuli between depressive (n=24; DS) and non-depressive (n=31; NDS) symptom groups. Results indicate that symptoms of depression were most strongly associated with decreased trait pride and decreased positive emotion experience to pride-eliciting films. Discussion focuses on the implications these findings have for understanding emotion deficits in depression as well as for the general study of positive emotion.     

Social anxiety and emotion regulation flexibility: considering emotion intensity and type as contextual factors

Background and objectives: Individuals with social anxiety disorder have often been considered inflexible in their emotion regulation. The aim of this study was to investigate emotion regulation flexibility in socially anxious individuals in response to two contextual factors, namely different levels of emotion intensity and emotion type.

Methods: A daily diary approach was employed, investigating emotion regulation (i.e., experiential avoidance, expressive suppression and cognitive reappraisal) in college students scoring high (N?=?62; HSA) and low (N?=?52; LSA) on social anxiety.

Results: Results revealed that HSAs were found to use more experiential avoidance than LSAs, especially at higher levels of negative intensity. The use of this emotion regulation strategy appeared to be driven by guilt, nervousness, and sadness. There were no between-group differences concerning the other strategies in response to varying levels of emotional intensity.

Conclusions: Together, the results provide evidence for inflexible emotion regulation in HSAs, reflected in an unwillingness to experience negative emotions.     

Affect intensity and the appraisal of emotion

The present study investigated the association between a personality trait known as affect intensity and the perceived qualities of emotions. Subjects completed the Affect Intensity Measure (AIM), and they rated the phenomenological qualities and causal dimensions of previous emotional experiences involving happiness, pride, anxiety, and hate. The results showed that high and low scorers on the AIM reported different perceptions of certain qualities of the emotional event, independent of the emotion's valence; subjects with high scores on the AIM rated their emotions as higher in intensity, frequency, and vividness of recall. In contrast, further analyses revealed little relation between AIM scores and causal dimension ratings of the emotions. However, within-subject analyses indicated that the emotions did differ in their perceived causes, thus supporting predictions from Weiner's attributional model of emotion. The results are discussed in terms of the need for a complex approach to the study of emotion which incorporates intersubject and intrasubject differences.