Untitled

Reeve, Johnmarshall; Nix, Glen

doi:10.1023/a:1024470213500

Cited by 100 publications

(104 citation statements)

References 19 publications

Supporting

Mentioning

100

Contrasting

Order By: Relevance

“…The ACC is involved in both positive and negative emotional systems. The ACC receives projections from dopaminergic neurons in the ventral tegmental area and from top-down cognitive input in the prefrontal cortex [ 28 ]. It serves as a mediator between sensory inputs via the thalamus and appraisal via the prefrontal cortex, and is involved in monitoring for highly salient information [ 29 – 32 ].…”

Section: Introductionmentioning

confidence: 99%

Neural Processing of Emotional Musical and Nonmusical Stimuli in Depression

et al. 2016

View full text Add to dashboard Cite

BackgroundAnterior cingulate cortex (ACC) and striatum are part of the emotional neural circuitry implicated in major depressive disorder (MDD). Music is often used for emotion regulation, and pleasurable music listening activates the dopaminergic system in the brain, including the ACC. The present study uses functional MRI (fMRI) and an emotional nonmusical and musical stimuli paradigm to examine how neural processing of emotionally provocative auditory stimuli is altered within the ACC and striatum in depression.MethodNineteen MDD and 20 never-depressed (ND) control participants listened to standardized positive and negative emotional musical and nonmusical stimuli during fMRI scanning and gave subjective ratings of valence and arousal following scanning.ResultsND participants exhibited greater activation to positive versus negative stimuli in ventral ACC. When compared with ND participants, MDD participants showed a different pattern of activation in ACC. In the rostral part of the ACC, ND participants showed greater activation for positive information, while MDD participants showed greater activation to negative information. In dorsal ACC, the pattern of activation distinguished between the types of stimuli, with ND participants showing greater activation to music compared to nonmusical stimuli, while MDD participants showed greater activation to nonmusical stimuli, with the greatest response to negative nonmusical stimuli. No group differences were found in striatum.ConclusionsThese results suggest that people with depression may process emotional auditory stimuli differently based on both the type of stimulation and the emotional content of that stimulation. This raises the possibility that music may be useful in retraining ACC function, potentially leading to more effective and targeted treatments.

show abstract

Section: Introductionmentioning

confidence: 99%

Neural Processing of Emotional Musical and Nonmusical Stimuli in Depression

et al. 2016

View full text Add to dashboard Cite

show abstract

“…However, steamers' perceived expertise passively influences his/her social capital. Streamers' expertise refers to their experience, skills, qualification, and social status rather than their physical characteristics [49]. Audience members will not feel jealous when a streamer's expertise makes him/her promote discussions on certain content and share information.…”

Section: Discussionmentioning

confidence: 99%

“…Trustworthiness is defined as "the perceived willingness of the source to make valid assertions" [48] and relates to consumers' belief that an information source delivers a message in an objective and honest manner [31]. Trustworthiness is the perceived motivation of an information source to communicate a message without bias [46,49]. In the context of LSVPs, it relates to the streamer providing information in an honest and objective manner.…”

Section: Literature Review and Hypothesesmentioning

confidence: 99%

Sustainability of Live Video Streamer’s Strategies: Live Streaming Video Platform and Audience’s Social Capital in South Korea

2020

View full text Add to dashboard Cite

Live streamers’ power and attraction influence consumer behavior. This study focuses on streamer-central formed social capital and the relationship between streamers and audiences on live streaming video platforms (LSVP). First, we explored the impact of trust, norm of reciprocity, and network on social capital formation. Second, we investigated the effect of social capital on streamers’ attributes (attractiveness, expertise, and trustworthiness) and on the audience’s social capital formation. The main findings show that trust and network positively affect social capital. Social capital increases the level of streamers’ attractiveness, expertise, and trustworthiness perceived by the audience, which facilitates sustainable development of the LSVP and the streamer. Perceived streamers’ attractiveness negatively affects social capital formation, while perceived expertise positively affects it. To promote social capital development, streamers and operators of LSVPs should continuously emphasize social capital formation. Moreover, LSVPs should provide audiences with novel and interesting content to enable active networking. For sustainable development of LSVPs, when providing live streaming video services, streamers should deliver content that the audience perceives as based on their expertise rather than on their physical attractiveness.

show abstract

“…The more complex or challenging the stimulus, the wider the eyes became: Eyeball exposure may be linked to the search for more visual information and previous studies suggested that it may be related to the experience of interest (Reeve, 1993;Reeve and Nix, 1997). Novelty is surprisingly associated with AU14 (dimpler) and AU23 lip tightener in addition to AU5.…”

Section: Facial Expressionsmentioning

confidence: 98%

“…In its pioneering works Izard (2009) provided what is probably the only description of a possible prototypical facial expression of interest "Brows can either be raised, in normal shape, or drawn together and/or slightly lowered; eyes may be either widened, roundish in appearance, or squinted; cheeks may be raised; mouth can be opened and relaxed, tongue may be extended beyond the gum line, lips may be pursed" (Matias et al, 1989). More recently, Reeve and colleagues investigated which facial movements were consistently correlated with selfreport of interest while participants watched films or played spatial-relations puzzles (Reeve, 1993;Reeve and Nix, 1997). Even though some behaviors seem correlated to interest-such as eye closure and eyeball exposure-they concluded that there is not a stable cluster of facial signs to express interest.…”

Section: Expressions Of Interestmentioning

confidence: 99%

Behavioral and Physiological Responses to Visual Interest and Appraisals: Multimodal Analysis and Automatic Recognition

Soleymani

Mortillaro

2018

Front. ICT

View full text Add to dashboard Cite

Interest drives our focus of attention and plays an important role in social communication. Given its relevance for many activities (e.g., learning, entertainment) a system able to automatically detect someone's interest has several potential applications. In this paper, we analyze the physiological and behavioral patterns associated with visual interest and present a method for the automatic recognition of interest, curiosity and their most relevant appraisals, namely, coping potential, novelty and complexity. We conducted an experiment in which participants watched images and micro-videos while multimodal signals were recorded-facial expressions, galvanic skin response (GSR), and eye gaze. After watching each stimulus, participants self-reported their level of interest, curiosity, coping potential, perceived novelty, and complexity. Results showed that interest was associated with other facial Action Units than smiling when dynamics was taken into consideration, especially inner brow raiser and eye lid tightener. Longer saccades were also present when participants watched interesting stimuli. However, correlations of appraisals with specific facial Action Units and eye gaze were in general stronger than those we found for interest. We trained Random Forests regression models to detect the level of interest, curiosity, and appraisals from multimodal features. The recognition models-unimodal and multimodal-for appraisals generally outperformed those for interest, in particular for static images. In summary, our study suggests that automatic appraisal detection may be a suitable way to detect subtle emotions like interest for which prototypical expressions do not exist.

show abstract

Untitled

Cited by 100 publications

References 19 publications

Neural Processing of Emotional Musical and Nonmusical Stimuli in Depression

Neural Processing of Emotional Musical and Nonmusical Stimuli in Depression

Sustainability of Live Video Streamer’s Strategies: Live Streaming Video Platform and Audience’s Social Capital in South Korea

Behavioral and Physiological Responses to Visual Interest and Appraisals: Multimodal Analysis and Automatic Recognition

Contact Info

Product

Resources

About