• Asia Marketing Journal
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• v.16 no.2
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• pp.59-75
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• 2014

Although previous works have established that mood can considerably influence consumer behavior (Vohs et al. 2007), they provided inconsistent results (Cohen et al. 2008). In particular, previous works only examined the willingness of consumers to regulate their mood and implicitly assumed that consumers have the control to regulate their mood states. Thus, this research intends to fill the current gap in the extant literatures by investigating whether consumer locus of control (CLOC) can act as a moderator for mood effects on consumers' likelihood to purchase. In an experiment, participants' CLOC was initially measured. Afterwards, they watched different video clips to induce different mood states. Finally, participants rated their likelihood to purchase after seeing an advertisement. The results suggest that, in the positive mood, CLOC tendencies do not impact consumers' likelihood to purchase. However, in the negative mood, internal CLOC consumers show a higher likelihood to purchase than external CLOC consumers. This phenomenon occurs because consumers with high internal CLOC tendencies have the motivation to regulate their negative mood. These findings extend the extant literatures in four aspects. First, this paper shows that the CLOC tendencies could influence consumers' motivation to regulate their negative mood. Second, this research examines the moderating effect of CLOC in the relationship between mood and consumers' likelihood to purchase. Third, the results add further evidence regarding the role of negative mood in the self-regulation process. Finally, this research also shows that mood can unconsciously influence consumer behavior. This paper provides two managerial implications. First, marketers should consider the mood states and consumers' control tendencies in creating advertisements. Second, firms in retail or service business should aim to evoke a positive mood on consumers so that their CLOC tendencies would not influence their behaviors.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.2
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• pp.807-824
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• 2016

In this paper, a method of mood classification based on user brainwaves is proposed for real-time application in commercial services. Unlike conventional mood analyzing systems, the proposed method focuses on classifying real-time user moods by analyzing the user's brainwaves. Applying brainwave-related research in commercial services requires two elements - robust performance and comfortable fit of. This paper proposes a filter based on Regularized Common Spatial Patterns (RCSP) and presents its use in the implementation of mood classification for a music service via a wireless consumer electroencephalography (EEG) device that has only 14 pins. Despite the use of fewer pins, the proposed system demonstrates approximately 10% point higher accuracy in mood classification, using the same dataset, compared to one of the best EEG-based mood-classification systems using a skullcap with 32 pins (EU FP7 PetaMedia project). This paper confirms the commercial viability of brainwave-based mood-classification technology. To analyze the improvements of the system, the changes of feature variations after applying RCSP filters and performance variations between users are also investigated. Furthermore, as a prototype service, this paper introduces a mood-based music list management system called MyMusicShuffler based on the proposed mood-classification method.

• The Journal of the Convergence on Culture Technology
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• v.8 no.4
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• pp.1-9
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• 2022

The purpose of this study is to examine the mediating effects of destination mood and tourist's mood state on the relationship between tourism memory and revisit intention focusing on the psychological approach. The number of subjects for the research is 301 visitors enjoying tourist destinations in Gyeongju and Jeju. This study employs path analysis offered by the AMOS 28 statistical program to analyze the mediating effects of destination mood and tourists' mood states. The path analysis shows that tourism experience positively influences tourism memory, tourism memory positively affects revisit intention, and there are mediating effects of Destination mood and tourist's mood state on the relationship between tourism memory and revisit intention.

• International Journal of Contents
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• v.14 no.4
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• pp.51-56
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• 2018

This study was conducted to explore the relationship between personality characteristics and mood in the selection of media content. Using meta-analysis, this study analyzed past studies regarding media content selection in television program. The results of this research showed that the preference of a given media content would depend on the viewer's mood, personality characteristics and the interaction between personality characteristics and mood states. The secondary data of television programs supported the association.

• The KIPS Transactions:PartB
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• v.17B no.4
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• pp.263-274
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• 2010

To provide context-aware music recommendation service, first of all, we need to catch music mood that a user prefers depending on his situation or context. Among various music characteristics, music mood has a close relation with people‘s emotion. Based on this relationship, some researchers have studied on music mood detection, where they manually select a representative segment of music and classify its mood. Although such approaches show good performance on music mood classification, it's difficult to apply them to new music due to the manual intervention. Moreover, it is more difficult to detect music mood because the mood usually varies with time. To cope with these problems, this paper presents an automatic method to classify the music mood. First, a whole music is segmented into several groups that have similar characteristics by structural information. Then, the mood of each segments is detected, where each individual's preference on mood is modelled by regression based on Thayer's two-dimensional mood model. Experimental results show that the proposed method achieves 80% or higher accuracy.

• Journal of Korean Academy of Nursing
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• v.24 no.2
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• pp.175-189
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• 1994

This study examined the daily rhythmic patterns of mood in shift workers. Ten rotating shift nurses (shift worker group) were matched with ten non-rotating student nurses (non - shift worker group) working under the same conditions at University Hospital. The subjects completed the Mood Adjective Checkist (MAC) every two or three hours from 6AM to 9-11 PM for six consecutive days. The MAC was constructed by Mansour and conversed the mood factors of Anger - Depression. Happiness, Mental, and Social. These data were analyzed by using Cosinor method. The results are summarized as follows : 1. There was no difference in mean scores for Anger - Depression, Happiness, Mental, and Social mood rhythm between the shift workers and the non - shift workers. 2. There was no difference in the amplitude of Anger - Depression, Happiness and Social mood between the two groups, but the shift workers had a higher amplitude of Mental mood. 3. The acrophases of the Anger - Depression mood were between 1:28 and 2:05, and those of Happiness, Social, and Mental mood were between 12:5 and 15:03 for both groups. There were no differences between the groups. 4. The number of the subjects with statistically significant mean cosinor rhythms for Anger-De-pression and Mental moods were higher in the shift workers than in the non-shift workers, but there were no differences between the shift workers and the non-shift workers in those of Happiness and Mental mood. This study showed that the mod manifested circadian periodicities, and a rapidly rotating shift system did not changed the circadian rhythm of mood. It is expected that this study will facilitate a better understanding of circadian rhythm in mood in the shiftworkers.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.28 no.1
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• pp.31-37
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• 2017

Objectives: We examined the relationships between the body mass index, body weight perception, and depressed mood in a nationally representative sample of Korean adolescents. Methods: We analyzed the data from the 2013 Korean Youth Risk Behavior Web-based Survey and evaluated the relationships between the body mass index, body weight perception, and depressed mood by gender (36655 boys and 35780 girls). Results: For boys, a low body mass index and perceiving oneself as underweight were related to depressed mood. For girls, both low and high body mass indices were negatively related to depressed mood. In addition, self-perceptions of being underweight or overweight were positively related to depressed mood. Body weight perception was not a significant mediator in the relationship between body mass index and depressed mood. Conclusion: These results suggest that both body mass index and body weight perception significantly contribute to Korean adolescents' depressed mood. Thus, research and clinical attention needs to be given to underweight as well as overweight adolescents, because those who perceive their weight as not normal are at risk for depression.

• Health Policy and Management
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• v.27 no.2
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• pp.177-185
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• 2017

Background: The mental problems of the elderly are at issue as a serious social phenomenon. The purpose of this study is to identify risk factors affecting the mood disorders of the elderly. Methods: The subjects were 1,779,236 aged ${\geq}65$ and participated in health screening. Dependent variable was mood disorders. Independent variables were consisted of community level (regional deprivation index and healthcare resources) and individual level (sex, age, insurance type, disability, smoking, alcohol, physical activity, body mass index, and healthcare utilization). Multilevel logistic regression was performed. Results: At the individual level, women, employed insured, severely disabled people, heavy alcohol drinkers, high-intensity physical activity, body mass index, and patients who had chronic disease and severe disease were significantly associated with mood disorders. As the age has increased, it has let increase of mood disorders. At the community level, as the regional deprivation index has increased by 1, mood disorders has been increased by 1.005 times. The intra-class coefficient was 7.04%. Conclusion: We found individual and community level factors are associated with mood disorders. Systematic approach is essential to reduce mood disorders.

• Science of Emotion and Sensibility
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• v.20 no.2
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• pp.45-58
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• 2017

The present study tested a hypothesis that mood awareness and emotional expressivity would attenuate the association between academic stress and adjustment. In support of the hypothesis, the present research showed that emotional expressivity moderated the association between academic stress and adjustment among college students. That is, the association was attenuated by emotional expressivity when academic stress was high more than when academic stress was low. Curiously, we also identified an interesting diversion between two factors of mood awareness. Specifically, mood monitoring moderated the negative association between academic stress and adjustment, whereas mood labeling did not. That is, mood monitoring was particularly effective when academic stress was high, but mood labeling showed substantial benefits regardless of the level of academic stress. Overall, the present results suggest that mood awareness (in particular, mood labeling) and emotional expressivity serve as cognitive and behavioral protective factors that can buffer academic stress among college students.

• The Research Journal of the Costume Culture
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• v.23 no.5
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• pp.793-806
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• 2015

This study is to explore the effect of music characteristics (i.e., likeliness and familiarity of music) on the relationship between mood and attitude toward the product in the online shopping mall selling hand-made shoes. A total of 319 consumers participated in experiments with online shopping mall stimuli with a variety of background music. In results, consumer mood positively affected attitude toward the hand-made shoe products in the online shopping mall under background music. A moderating effect of music likeliness was found in the relationship between mood and product attitude, indicating that mood more strongly affected product attitude under more liked music than under less liked music. When consumers are listening to more liked music and are in good mood, they may build their attitudes toward products independently from their mood, whereas they may build positive attitude under good mood versus negative attitudes under bad mood if they are listening to less liked music. A moderating effect of music familiarity was not found in the relationship between mood and product attitude. Based on results, it was confirmed that the S-O-R model could be applied to explain the effect of background music on consumer responses in online shopping malls. Marketers may be able to select and adjust the likeliness and familiarity of background music to better serve consumers in diverse shopping conditions, referring to the study findings.