Levels Of Emotional Intensity Research Articles

To switch or not to switch? Individual differences in executive function and emotion regulation flexibility.

Emotion regulation (ER) constitutes strategies that modulate the experience and expression of emotions. While past work has predominantly assumed that ER strategies are consistently adaptive (or maladaptive) across situations, recent research has begun to examine individual-difference factors that are associated with the flexible use of ER strategies in line with contextual demands (i.e., ER flexibility). Theoretical accounts maintain that the choice to use ER strategies in a given context is contingent on individual differences in executive function (EF), which refers to a collection of general-purpose regulatory operations. Based on a comprehensive battery of EF tasks, we investigated how the various EF facets (i.e., common EF, working-memory-specific, and shifting-specific factors) are related to the frequency of maintaining and switching ER strategies in response to stimuli that elicit varying levels of emotional intensity. Results indicated that individuals with higher EF demonstrated a more flexible pattern of ER strategy use across high- and low-intensity conditions. Specifically, better working-memory-specific ability (i.e., manipulating information within a mental workspace) was associated with a greater frequency of reappraisal-to-distraction strategy switching in high-intensity contexts. Furthermore, more proficient common EF (i.e., sustaining relevant goals in the face of competing goals and responses) corresponded to a higher propensity to maintain the use of reappraisal in low-intensity situations. The outcomes of this study offer a first glimpse of the cognitive factors underlying ER flexibility. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Embodied emotional expressions for intuitive experience sampling methods: A demographic investigation with Japanese speakers

Experience Sampling Method (ESM) is a research procedure for monitoring ever-changing subjective emotions in our daily lives. A typical method asks participants, several times a day, to report and rate their emotions in terms of pre-defined adjective scales (e.g., “2 for sad,” and “5 for happy”). When a scale includes many adjectives, rating time is increased for participants. However, when few adjectives are provided, respondents may struggle to find descriptors that truly match their internal state, making it difficult to express the complex nuances of multiple emotions. This paper reports the development of a novel approach to ESM in which participants choose only a single word that intuitively expresses common emotion categories and intensities with minimal demands on their time. To achieve this capability, we conducted a survey with 14,321 Japanese speakers that presented a list of intuitive and embodied emotional expressions such as mimetics(e.g., “thump-thump”) and interjections (e.g., “wow”) in Japanese, categorized according to the eight primary emotions and three levels of emotional intensity used in the Plutchik model, and asked them to choose the expressions they use in their daily lives. The results showed that the most frequently used expressions were generally consistent irrespective of gender or age, and that people differentiated their use of expressions according to the category and intensity of their emotions. Our findings indicate that it is possible to create a single common list of expressions that can be used by all genders and ages to efficiently and intuitively express nuanced emotions appropriate to their inner states without the person having to think deliberately.

Cross-cultural differences in self-reported and behavioural emotional self-awareness between Japan and the UK

ObjectiveHow we express and describe emotion is shaped by sociocultural norms. These sociocultural norms may also affect emotional self-awareness, i.e., how we identify and make sense of our own emotions. Previous studies have found lower emotional self-awareness in East Asian compared to Western samples using self-report measures. However, studies using behavioural methods did not provide clear evidence of reduced emotional self-awareness in East Asian groups. This may be due to different measurement tools capturing different facets of emotional self-awareness.ResultsTo investigate this issue further, we compared the emotional self-awareness of Japanese (n = 29) and United Kingdom (UK) (n = 43) adults using the self-report Toronto Alexithymia Scale (TAS-20), alongside two behavioural measures – the Emotional Consistency Task (EC-Task) and the Photo Emotion Differentiation Task (PED-Task). Japanese adults showed higher TAS-20 scores than UK participants, indicating greater self-reported difficulties with emotional self-awareness. Japanese participants also had lower EC-Task scores than UK adults, indicating a lower ability to differentiate between levels of emotional intensity. PED-Task performance did not show clear group differences. These findings suggest that cross-cultural differences in emotional self-awareness vary with the task used, because different tasks assess distinct aspects of this ability. Future research should attempt to capture these different aspects of emotional self-awareness.

Characteristics of healthy Japanese young adults with respect to recognition of facial expressions: a preliminary study

BackgroundEmotional cognitive impairment is a core phenotype of the clinical symptoms of psychiatric disorders. The ability to measure emotional cognition is useful for assessing neurodegenerative conditions and treatment responses. However, certain factors such as culture, gender, and generation influence emotional recognition, and these differences require examination. We investigated the characteristics of healthy young Japanese adults with respect to facial expression recognition.MethodsWe generated 17 models of facial expressions for each of the six basic emotions (happiness, sadness, anger, fear, disgust, and surprise) at three levels of emotional intensity using the Facial Acting Coding System (FACS). Thirty healthy Japanese young adults evaluated the type of emotion and emotional intensity the models represented to them.ResultsAssessment accuracy for all emotions, except fear, exceeded 60% in approximately half of the videos. Most facial expressions of fear were rarely accurately recognized. Gender differences were observed with respect to both faces and participants, indicating that expressions on female faces were more recognizable than those on male faces, and female participants had more accurate perceptions of facial emotions than males.ConclusionThe videos used may constitute a dataset, with the possible exception of those that represent fear. The subject’s ability to recognize the type and intensity of emotions was affected by the gender of the portrayed face and the evaluator’s gender. These gender differences must be considered when developing a scale of facial expression recognition.

Sex Differences in Neural Correlates of Emotion Regulation in Relation to Resting Heart Rate Variability

Prior studies suggest that sex differences in emotion regulation (ER) ability contribute to sex disparities in affective disorders. In behavioral studies, females rely more on maladaptive strategies to cope with emotional distress than males. Neuroimaging studies suggest that males more efficiently regulate emotion than females by showing less prefrontal cortex activity (suggesting less effort) for similar amygdala activity (similar regulation outcome). However, physiological studies involving heart rate variability (HRV) indicated that, compared with males, females have higher resting HRV, indicative of parasympathetic dominance and better control of emotion. To help resolve these apparently inconsistent findings, we examined sex differences in how resting HRV relates to brain activity while using cognitive reappraisal, one of the adaptive strategies. Based on 51 males and 49 females, we found that females showed different levels of self-rated emotional intensity and amygdala activity for negative versus positive emotions, while males did not. Females also showed greater overall prefrontal cortex activity but similar levels of amygdala activity compared to males. Sex differences in how resting HRV related to brain activity during ER were evident only during viewing or regulating positive emotion. The results suggest that sex differences in the neural correlates of ER and resting HRV might lie in valence more than arousal modulation.

Coexpression of anticipatory and consummatory volitional deficits in schizophrenia and their association with memory impairment.

Avolition in schizophrenia has been attributed to the decoupling between emotion and motivation rather than an inability to perceive or distinguish emotions. Hence, goal-directed behavior incentivized by positive or negative reinforcement becomes impoverished and dull. It is further suggested that goal-directed actions directed at future outcomes (anticipatory or representational response) are preferentially affected, as opposed to actions directed to the current state of affairs (consummatory or evoked response). Attempts to dissociate them behaviorally using the "anticipatory and consummatory pleasure" (ACP) task have demonstrated deficits in both components, yet some have claimed otherwise. In this replication study, we presented further characterization of the pronounced deficits in valence-dependent consummatory as well as anticipatory responding in 40 subjects with schizophrenia in comparison with 42 healthy subjects. In addition, two novel observations were made. First, the correlation between ratings of emotional intensity and arousal levels of pictures used to motivate responding in the ACP task was markedly attenuated in the schizophrenic (SZ) group, suggesting that the decoupling from emotion may be manifested beyond goal-directed behavior in schizophrenia. Second, multiple correlations between ACP performance indices and individual scores in the letter-number span test were uniquely observed in the SZ group, not among healthy controls. The co-emergence of ACP and working memory deficiency in SZ may be linked to common psychopathological processes. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Прагмалингвистические и синтаксические особенности междометий в кабардино-черкесском языке

The aim of the research is to identify the pragmatic potential of interjections of the Kabardian-Circassian language from the dialogical, pragmatic perspectives, i.e. their roles in encouraging interlocutors to engage in dialogue and forming communication. The scientific novelty of the paper lies in the fact that the pragmalinguistic analysis of interjections of the Adyghe languages has become the object of research for the first time. The paper is the first to determine that the main function of linguistic pragmatics of these expressions in the Kabardian-Circassian language is choosing a certain interjection in a specific speech situation. Interjections occur in different positions in a sentence (at the beginning, in the middle or at the end), which also conditions the degree of expressiveness of an utterance. The research findings have shown that interjections perform two main functions in utterances: the manifestation of an emotional attitude and the establishment of communication, thereby confirming the inseparable connection of their syntactic and pragmatic roles. It has been proved that an interjection is added to a speech act unconsciously and depends both on the personal qualities of the speaker and on the level of emotional intensity of the situation. One of the main features of interjections is the ability to carry the semantic load of the entire utterance while replacing the whole sentence.

Integrating the reviewers’ and readers’ perceptions of negative online reviews for customer decision-making: a mixed-method approach

PurposeThis study aims to integrate reviewers’ and readers’ discrepant perspectives on extremely negative reviews. Specifically, this study examines the relationship between negative emotion intensity levels and reviews helpfulness on two platforms: integrated websites and social networking sites (SNS) to emphasize the role of platform types on customers’ purchase decisions.Design/methodology/approachThis research adopts a mixed-method approach of business intelligence approach and quasi-experimental design. Study 1 performed text mining and Welch’s t-test to compare reviewers’ negative emotion intensity levels on two platforms. Study 2 adopted a 2*2 factorial quasi-experimental design to examine how intense negative emotions impact the perceived reviews helpfulness on two platforms. A 3*2 factorial design in Study 3 also tested social tie strength’s moderating effect between the intensity of negative emotions and review helpfulness.FindingsThe current study reveals that integrated website reviewers tend to express more extreme negative emotions than SNS reviewers. SNS and integrated website readers deem reviews that embed severe negative emotions as less helpful. The moderating role of social tie strength between extremely negative emotions on review helpfulness was insignificant in the study.Research limitations/implicationsThis study enriches the online review literature by comparing writers’ and readers’ perspectives on online reviews with extremely negative emotions across two online platform types: integrated websites and SNS. From the writers’ perspective, this study highlights anonymity and the presence of an audience as essential factors that reviewers consider in selecting an online review platform to express themselves. This research also sheds light on how readers’ perspectives on extremely negative reviews conflict with the presumptions of writers of extremely negative reviews on integrated websites by demonstrating that content embedding extremely negative emotions is less helpful regardless of platform type.Practical implicationsThis research provides online negative review management strategies to platform and hotel managers. The findings suggest hotel and review platform managers should consider adopting review alignment or monitoring systems based on negative emotions intensity levels since readers on both platforms perceive reviews embedding extremely negative emotions as less helpful. Additionally, hotel managers can progress promotions to guests who share online reviews on SNS since SNS reviewers are more likely to attenuate their extremely negative emotions when writing reviews.Originality/valueThis research innovatively provides a comprehensive overview of negative reviews’ production and consumption process from reviewers’ and readers’ perspectives. This research also provides practitioners insight into the nature of two different platform types and the management of negative reviews on these platforms.

Enabling young elementary‐school children to ask questions on a school‐based internet forum operated by educational psychologists

AbstractThe present study describes the successful operation of an online forum designed to answer questions posted by Israeli elementary‐school children during an emergency exercise. Analysis of 212 posts revealed that being younger predict higher levels of emotional intensity. Younger children are 3.561 times more likely than older children to have an increase in emotional intensity. Overall, the model accounted for 5.5% of the variance in emotional intensity. School‐based online forums may be used as a universal screening method to enable school staff to identify children exhibiting enhanced emotional intensity. Given the restrictions on face‐to‐face interactions that are occasionally necessitated by the worldwide COVID‐19 crisis, this approach is particularly relevant nowadays. Detailed appendices are provided to help plan, initiate, and run such forums.

Emotion response disconcordance among trauma-exposed adults: the impact of alexithymia.

Emotion processing deficits have been identified as a critical transdiagnostic factor that facilitates distress after trauma exposure. Limited skills in identifying and labelling emotional states (i.e. alexithymia) may present on the more automated (less conscious) end of the spectrum of emotional awareness and clarity. Individuals with alexithymia tend to exhibit a disconcordance between subjective experience and autonomic activity (e.g. where high levels of subjective emotional intensity are associated with low physiological arousal), which may exacerbate distress. Although there is a robust link between alexithymia and trauma exposure, no work to date has explored whether alexithymia is associated with emotional response disconcordance among trauma-exposed adults. Using a validated trauma script paradigm, the present study explored the impact of alexithymia on emotion response concordance [skin conductance (Galvanic Skin Response, GSR) and Total Mood Disturbance (TMD)] among 74 trauma-exposed adults recruited via a posttraumatic stress disorder (PTSD) treatment clinic and student research programme. Unlike posttraumatic symptom severity, age, sex, participant type and mood (which showed no effect on emotion response concordance), alexithymia was associated with heightened emotion response disconcordance between GSR and TMD [F(1, 37) = 8.93, p = 0.006], with low GSR being associated with high TMD. Observed effects of the trauma script were entirely accounted for by the interaction with alexithymia, such that those with alexithymia showed a negligible association between subjective and physiological states. This finding is paramount as it shows that a large proportion of trauma-exposed adults have a divergent emotion engagement profile.

The Mandarin Chinese auditory emotions stimulus database: A validated set of Chinese pseudo-sentences.

Emotional prosody is fully embedded in language and can be influenced by the linguistic properties of a specific language. Considering the limitations of existing Chinese auditory stimulus database studies, we developed and validated an emotional auditory stimuli database composed of Chinese pseudo-sentences, recorded by six professional actors in Mandarin Chinese. Emotional expressions included happiness, sadness, anger, fear, disgust, pleasant surprise, and neutrality. All emotional categories were vocalized into two types of sentence patterns, declarative and interrogative. In addition, all emotional pseudo-sentences, except for neutral, were vocalized at two levels of emotional intensity: normal and strong. Each recording was validated with 40 native Chinese listeners in terms of the recognition accuracy of the intended emotion portrayal; finally, 4361 pseudo-sentence stimuli were included in the database. Validation of the database using a forced-choice recognition paradigm revealed high rates of emotional recognition accuracy. The detailed acoustic attributes of vocalization were provided and connected to the emotion recognition rates. This corpus could be a valuable resource for researchers and clinicians to explore the behavioral and neural mechanisms underlying emotion processing of the general population and emotional disturbances in neurological, psychiatric, and developmental disorders. The Mandarin Chinese auditory emotion stimulus database is available at the Open Science Framework ( https://osf.io/sfbm6/?view_only=e22a521e2a7d44c6b3343e11b88f39e3 ).

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.

Two-dimensional CNN-based distinction of human emotions from EEG channels selected by multi-objective evolutionary algorithm

In this study we explore how different levels of emotional intensity (Arousal) and pleasantness (Valence) are reflected in electroencephalographic (EEG) signals. We performed the experiments on EEG data of 32 subjects from the DEAP public dataset, where the subjects were stimulated using 60-s videos to elicitate different levels of Arousal/Valence and then self-reported the rating from 1 to 9 using the self-assessment Manikin (SAM). The EEG data was pre-processed and used as input to a convolutional neural network (CNN). First, the 32 EEG channels were used to compute the maximum accuracy level obtainable for each subject as well as for creating a single model using data from all the subjects. The experiment was repeated using one channel at a time, to see if specific channels contain more information to discriminate between low vs high arousal/valence. The results indicate than using one channel the accuracy is lower compared to using all the 32 channels. An optimization process for EEG channel selection is then designed with the Non-dominated Sorting Genetic Algorithm II (NSGA-II) with the objective to obtain optimal channel combinations with high accuracy recognition. The genetic algorithm evaluates all possible combinations using a chromosome representation for all the 32 channels, and the EEG data from each chromosome in the different populations are tested iteratively solving two unconstrained objectives; to maximize classification accuracy and to reduce the number of required EEG channels for the classification process. Best combinations obtained from a Pareto-front suggests that as few as 8–10 channels can fulfill this condition and provide the basis for a lighter design of EEG systems for emotion recognition. In the best case, the results show accuracies of up to 1.00 for low vs high arousal using eight EEG channels, and 1.00 for low vs high valence using only two EEG channels. These results are encouraging for research and healthcare applications that will require automatic emotion recognition with wearable EEG.

Electrophysiological evidence of impaired cognitive reappraisal in amnestic mild cognitive impairment: An event-related potential study

BackgroundEmotion dysregulation symptoms are associated with higher conversion rates from MCI to dementia. Thus, understanding the neural mechanism underlying emotion regulation in people with MCI could provide useful information in early detection and intervention of MCI. This study investigated cognitive reappraisal, an emotion regulation strategy, in people with MCI using event-related potentials analysis. MethodsLate positive potential (LPP) was measured in 46 amnestic MCI subjects and 47 healthy elderly controls (HECs) as they viewed neutral and unpleasant images. All participants viewed a brief description of the upcoming image; neutral images were neutrally described (the Neut condition), and negative images were preceded with either more neutral (the Rea condition) or more negative (the Neg condition) interpretations. ResultsMCI subjects reduced their emotional intensity to a smaller extent than HEC subjects. For MCI subjects, the decreased level of emotional intensity was positively correlated with function in the verbal and executive domains. The reduced intensity (Rea - Neg) was also inversely correlated with the LPP difference (Rea - Neg) 3600–5000 ms after stimulus onset. Compared with HEC subjects, MCI subjects showed hypoactivation in the cuneus in the N2 time range (240–310 ms) and in the inferior parietal lobule and supramarginal gyrus in the 3600–5000 ms range. ConclusionThese results suggest that MCI subjects failed to maintain the reappraisal of negative stimuli in the late time window, which contributed to a smaller success with reappraisal.

Music Emotion Recognition: Intention of Composers-Performers Versus Perception of Musicians, Non-Musicians, and Listening Machines

This paper investigates to which extent state of the art machine learning methods are effective in classifying emotions in the context of individual musical instruments, and how their performances compare with musically trained and untrained listeners. To address these questions we created a novel dataset of 391 classical and acoustic guitar excerpts annotated along four emotions (aggressiveness, relaxation, happiness and sadness) with three emotion intensity levels (low, medium, high), according to the intended emotion of 30 professional guitarists acting as both composers and performers. A first experiment investigated listeners’ perception involving 8 professional guitarists and 8 non-musicians. Results showed that the emotions intended by a composer-performer are not always well recognized by listeners, and in general not with the same intensity. Listeners’ identification accuracy was proportional to the intensity with which an emotion was expressed. Emotions were better recognized by musicians than by listeners without musical background. Such differences between the two groups were found for different intensity levels of the intended emotions. A second experiment investigated machine listening performance based on a transfer learning method. To compare machine and human identification accuracies fairly, we derived a fifth, “ambivalent” category from the machine listening output categories (i.e., excerpts rated with more than one predominant emotion). Results showed that the machine perception of emotions matched or even exceeded musicians’ performance for all emotions except “relaxation”. The differences between the intended and human-perceived emotions, as well as those due to musical training, suggest that a device or application involving a music emotion recognition system should take into account the characteristics of the users (in particular their musical expertise) as well as their roles (e.g., composers, performers, listeners). For developers this translates into the use of datasets annotated by different categories of annotators, whose role and musical expertise will match the characteristics of the end users. Such results are particularly relevant to the creation of emotionally-aware smart musical instruments.

Rumination, emotional intensity and emotional clarity

It has been suggested that a high tendency to ruminate presents a deficient emotion regulation. Past research found that people with high tendency to ruminate show sustained attention for negative stimuli and increased negative thinking, which may result in intensified experiences of negative emotions. Moreover, high level of rumination was associated with low emotional understanding. Accordingly, we hypothesized (1) high ruminators (HR) experience more intense emotional reactions than low ruminators (LR) for negative but not positive emotions, (2) LR have higher emotional clarity than HR, and (3) there would be the same pattern of results for brooding but not for reflective pondering. Participants completed a demographic questionnaire, a rumination response style questionnaire, and the Beck Depression Inventory-II. They also rated emotional intensity and identified emotion type for scene pictures from the CAP-D (Categorized Affective Pictures Database). The highest (HR) and lowest (LR) quarters of ruminators were compared on levels of emotional intensity and emotional clarity. We found HR experienced negative emotions more intensely than LR, with no difference for positive emotions. In contrast to our hypothesis, the two groups did not differ in their emotion understanding. This pattern of results was found for brooding but not for reflective pondering. Our research sheds light on the mechanism underlying rumination and emotion regulation.

Emotion regulation in context: A naturalistic study of emotion regulation in response to everyday happy and sad memories during dysphoria

Background and objectivesEffective emotion regulation is an important marker of mental health. However, only a sparse number of studies have examined emotion regulation within the context of different emotion type and intensity levels among individuals with elevated depressive symptoms. MethodWe investigated emotion regulation in response to happiness and sadness experienced in the context of everyday memories of 23 dysphoric and 20 non-depressed participants. Participants completed a diary indicating the intensity of these emotions when thinking about a personal memory, as well as their employment of five emotion regulation strategies at that moment. ResultsMultilevel models indicated that dysphoric and non-depressed individuals differed in how they employed three emotion regulation strategies depending on the intensity of the emotions. Relative to non-depressed individuals, dysphoric individuals employed greater brooding, expressive suppression, and memory suppression when experiencing less intense happiness, and employed more brooding for more intense sadness. These effects were maintained after controlling for habitual emotion regulation, and controlling for the opposite concurrent emotion. The findings suggest that dysphoric individuals adjust the use of emotion regulation strategies differently from non-depressed individuals depending on the intensity level of happiness and sadness experienced. These patterns may be indicative of reduced emotion regulation flexibility or fear of emotional shifts. LimitationsThe sample consisted of mostly young women. ConclusionsClinical implications, particularly concerning emotion-focused interventions, are discussed.

Recognition of vocal socioemotional expressions at varying levels of emotional intensity.

Nonverbal expressions of emotion can vary in intensity, from ambiguous to prototypical exemplars: for instance, facial displays of happiness may range from a faint smile to a full-blown grin. Previous work suggests that the accuracy with which facial expressions are recognized as the intended emotion increases with emotional intensity, although this pattern depends on the displayed emotion. Less is known about the association between emotional intensity and the recognition of vocal emotional expressions (affective prosody), which also convey information about others' socioemotional intent but are perceived and interpreted differently than facial expressions. The current study examined listeners' ability to recognize emotional intent in morphed vocal prosody recordings that varied in emotional intensity from neutral to prototypical exemplars of basic emotions (anger, disgust, fear, happiness, sadness) and social expressions (friendliness, meanness). Results suggest that listeners' accuracy in identifying the intended emotional intent in each recording increased nonlinearly with emotional intensity. This pattern varied by emotion type: for instance, accuracy for anger rose steeply with increasing emotional intensity before plateauing, whereas accuracy for happiness remained unchanged across low-intensity exemplars but increased thereafter. These findings highlight emotion-specific ways in which dynamic changes in emotional intensity inform perceptions of socioemotional intent in emotional prosody. Moreover, these results also point to potential challenges in emotional communication in social interactions that rely primarily on the voice, with many low-intensity expressions having a higher probability of being misinterpreted. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Supplemental Material for Recognition of Vocal Socioemotional Expressions at Varying Levels of Emotional Intensity

Supplemental Material for Recognition of Vocal Socioemotional Expressions at Varying Levels of Emotional Intensity

Flying dreams stimulated by an immersive virtual reality task.

Despite a high prevalence and broad interest in flying dreams, these exceptional experiences remain infrequent. Our study aimed to (1) induce flying dreams using a custom-built virtual reality (VR) flying task, (2) examine their phenomenological correlates and (3) investigate their relations to participant state and trait factors. 137 participants underwent VR-flying followed by a morning nap. They also completed home dream journals for 5days before and 10days after the VR exposure. VR-flying successfully increased the reporting of flying dreams during the laboratory nap and on the following morning compared to both baseline frequencies and a control cohort. Flying dreams were also changed qualitatively, exhibiting higher levels of Lucid-control and emotional intensity, after VR exposure. Factors such as prior dream-flying experiences and level of VR sensory immersion modulated flying dream induction. Findings are consistent with a new vection-based explanation of dream-flying and may facilitate development of dream flight-induction technologies.