A dynamical systems interpretation of a dimensional model of emotion

Faith, Meredith; Thayer, Julian F.

doi:10.1111/1467-9450.00221

Cited by 47 publications

(31 citation statements)

References 39 publications

(72 reference statements)

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“…Some exposure studies have manipulated the pleasantÁunpleasant (valence) qualities of stimuli, but no studies have controlled the arousal levels associated with them. Yet, both the dimensions of valence (negative Á positive) and arousal (calm/relaxed Áhighly arousing) are important dimensions of emotion, between them accounting for most of the variance in affective judgements (Mehrabian, 1970;Mehrabian & Russell, 1974;Russell, 1980) across a broad range of stimuli, including music (Faith & Thayer, 2001). One key goal of this study was to examine the effects of repeatedly exposing participants to music stimuli that systematically varied in both arousal (high vs. low) and valence (positive vs. negative).…”

Section: Exposure To Affective Meaningful Stimulimentioning

confidence: 99%

Play it again Sam: Repeated exposure to emotionally evocative music polarises liking and smiling responses, and influences other affective reports, facial EMG, and heart rate

Witvliet

Vrana

2007

Cognition & Emotion

157

137

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This study assessed exposure effects on liking, self-reported affect, and physiology in response to music. Music stimuli varied in valence (positive or negative) and arousal (high or low), in a 2 )/2 within-subjects design (N 0/67). Six quasi-randomly ordered, counterbalanced exposures to music produced response polarisation. With exposure, negative music was liked even less, whereas positive music was liked even more. Zygomatic (smile) EMG also showed response polarisation: with exposure, participants smiled most during positive arousing music, and least during negative arousing music. Heart rate, corrugator (brow) and orbicularis oculi (under the eye) EMG reactivity patterns were consistent with possible increased fluency in processing the music with exposure. We address theoretical accounts of exposure and response polarisation and suggest directions for future research.

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Section: Exposure To Affective Meaningful Stimulimentioning

confidence: 99%

Play it again Sam: Repeated exposure to emotionally evocative music polarises liking and smiling responses, and influences other affective reports, facial EMG, and heart rate

Witvliet

Vrana

2007

Cognition & Emotion

157

137

View full text Add to dashboard Cite

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“…However, there is a general agreement that the experience of emotions and mood can be subsumed under the category of "affect states", which comprises moods, emotions or feelings (Lorr, 1984;Faith and Thayer, 2001). A popular idea is that the distinction between emotions and mood lies in their duration.…”

Section: Definition Of Termsmentioning

confidence: 99%

Getting to the Heart of Clinical Supervision: A Theoretical Review of the Role of Emotions in Professional Development

Lombardo

Milne

Proctor

2009

Behav. Cogn. Psychother.

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Background:The importance of supervision is increasingly recognized, yet it remains little understood, impairing research and practice. Specifically, the CBT supervision model provides a relatively "heartless" account of professional development, which may undermine its effectiveness. Method: A theoretical review of emotions in supervision and learning is provided, to summarize relevant theoretical and empirical literature. The objectives are to clarify the role of emotions in CBT supervision, and to use this understanding to outline an emotionally-attuned model, illustrating its application to two critical aspects of CBT supervision (the development of a learning alliance and enhancing professional competence). Conclusion:The reviewed literature (theory and research evidence) supports the explicit and systematic incorporation of emotions into CBT supervision. Conceptually, this can be achieved by integrating Lazarus's (1991) general theory of emotion with the CBT model. The illustrations of this augmented model indicate its value in understanding and managing both the "rupture-repair" cycle that can affect the supervisory alliance, and the "deskillingdevelopment" pattern that appears to be necessary for the acquisition of competence. We propose that CBT supervision might usefully be guided by our expanded model, as this affords greater internal consistency and may be more effective educationally.

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“…Downloaded by [Anadolu University] at 07:13 20 December 2014 two-dimensional space with two main axes, called Valence and Activity (Faith & Thayer, 2001). Starting from this knowledge, most authors tend to study the relationship between affect descriptions and structural descriptions in two steps.…”

Section: Prediction Of Musical Affect 41mentioning

confidence: 99%

Prediction of Musical Affect Using a Combination of Acoustic Structural Cues

Leman¹,

Vermeulen²,

Voogdt³

et al. 2005

Journal of New Music Research

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This study explores whether musical affect attribution can be predicted by a linear combination of acoustical structural cues. To that aim, a database of sixty musical audio excerpts was compiled and analyzed at three levels: judgments of affective content by subjects; judgments of structural content by musicological experts (i.e., ''manual structural cues''), and extraction of structural content by an auditory-based computer algorithm (called: acoustical structural cues). In Study I, an affect space was constructed with Valence (gaysad), Activity (tender-bold) and Interest (excitingboring) as the main dimensions, using the responses of a hundred subjects. In Study II manual and acoustical structural cues were analyzed and compared. Manual structural cues such as loudness and articulation could be accounted for in terms of a combination of acoustical structural cues. In Study III, the subjective responses of eight individual subjects were analyzed using the affect space obtained in Study I, and modeled in terms of the structural cues obtained in Study II, using linear regression modeling. This worked better for the Activity dimension than for the Valence dimension, while the Interest dimension could not be accounted for. Overall, manual structural cues worked better than acoustical structural cues. In a final assessment study, a selected set of acoustical structural cues was used for building prediction models. The results indicate that musical affect attribution can partly be predicted using a combination of acoustical structural cues. Future research may focus on non-linear approaches, elaboration of dataset and subjects, and refinement of acoustical structural cue extraction.

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A dynamical systems interpretation of a dimensional model of emotion

Cited by 47 publications

References 39 publications

Play it again Sam: Repeated exposure to emotionally evocative music polarises liking and smiling responses, and influences other affective reports, facial EMG, and heart rate

Play it again Sam: Repeated exposure to emotionally evocative music polarises liking and smiling responses, and influences other affective reports, facial EMG, and heart rate

Getting to the Heart of Clinical Supervision: A Theoretical Review of the Role of Emotions in Professional Development

Prediction of Musical Affect Using a Combination of Acoustic Structural Cues

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