• International Journal of Advanced Culture Technology
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• v.12 no.3
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• pp.250-256
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• 2024

This study aims to examine the impact of perceived control on individuals' state boredom. We hypothesized that perceived control is negatively correlated with state boredom and is anticipated to be a significant predictor of state boredom after controlling for pre-task boredom. An experiment was conducted with 98 university students. All participants engaged in an identical task designed to induce boredom, with only participants in the experimental group given a choice during the task to enhance their perceived control. Correlational analysis revealed a significant negative relationship between perceived control and state boredom. Hierarchical regression analysis demonstrated that perceived control remained a significant predictor of post-task boredom even after controlling for pre-task boredom. The study concludes with a discussion of the limitations, the implications of the findings, and suggestions for future research.

• International Journal of Advanced Culture Technology
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• v.11 no.3
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• pp.113-121
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• 2023

The purpose of this study is to verify whether there is a difference in boredom between education types (offline vs. online) in the mandatory education scene, and to explore the moderator effect of meaning making activities in the relationship between education types and boredom. In this study, 197 college students were divided into offline and online groups and they participated in mandatory education. The meaning making activity was operationalized based on the meaning discovery scale. As a result of the study, the state boredom after mandatory education was significantly higher in the online group than in the offline group. However, meaning making activities did not moderate the relationship between education type and the state boredom. Through further analysis, it was found that boredom in both groups significantly decreased after the meaning making activity.

• Journal of Global Scholars of Marketing Science
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• v.17 no.2
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• pp.1-29
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• 2007

The flow theory becomes one of the most important frameworks in the internet research arena. Hoffman and Novak proposed a hierarchical flow model showing the antecedents and outcomes of flow and the relationship among these variables in the hyper-media computer circumstances (Hoffman and Novak 1996). This model was further tested after their initial research (Novak, Hoffman, and Yung 2000). At their paper, Hoffman and Novak explained that the balance of challenge and skill leads to flow which means the positive optimal state of mind (Hoffman and Novak 1996). An imbalance between challenge and skill, leads to negative states of mind like anxiety, boredom, apathy (Csikszentmihalyi and Csikszentmihalyi 1988). Almost all research on the flow 4-channel model have been focusingon flow, the positive state of mind (Ellis, Voelkl, and Morris 1994 Mathwick and Rigdon 2004). However, it also needs to examine the formation of the negative states of minds and their outcomes. Flow researchers explain play or playfulness as antecedents or the early state of flow. However, play has been regarded as a distinct concept from flow in the flow literatures (Hoffman and Novak 1996; Novak, Hoffman, and Yung 2000). Mathwick and Rigdon discovered the influences of challenge and skill on play; they also observed the influence of play on web-loyalty and brand loyalty (Mathwick and Rigdon 2004). Unfortunately, they did not go so far as to test the influences of play on state of mind. This study focuses on the relationships between state of mind in the flow 4-channel model and play. Early research has attempted to hypothetically explain state of mind in flow theory, but has not been tested except flow until now. Also the importance of play has been emphasized in the flow theory, but has not been tested in the flow 4-channel model context. This researcher attempts to analyze the relationships among state of mind, skill of play, challenge, state of mind and web loyalty. For this objective, I developed a measure for state of mind and defined the concept of play as a trait. Then, the influences of challenge and skill on the state of mind and play under on-line shopping conditions were tested. Also the influences of play on state of mind were tested and those of flow and play on web loyalty were highlighted. 294 undergraduate students participated in this research survey. They were asked to respond about their perceptions of challenge, skill, state of mind, play, and web-loyalty to on-line shopping mall. Respondents were restricted to students who bought products on-line in a month. In case of buying products at two or more on-line shopping malls, they asked to respond about the shopping mall where they bought the most important one. Construct validity, discriminant validity, and convergent validity were used to check the measurement validations. Also, Cronbach's alpha was used to check scale reliability. A series of exploratory factor analyses was conducted. This researcher conducted confirmatory factor analyses to assess the validity of measurements. All items loaded significantly on their respective constructs. Also, all reliabilities were greater than.70. Chi-square difference tests and goodness of fit tests supported discriminant and convergent validity. The results of clustering and ANOVA showed that high challenge and high skill leaded to flow, low challenge and high skill leaded to boredom, and low challenge and low skill leaded to apathy. But, it was different from my expectation that high challenge and low skill didnot lead to anxiety but leaded to apathy. The results also showed that high challenge and high skill, and high challenge and low skill leaded to the highest play. Low challenge leaded to low play. 4 Structural Equation Models were built by flow, anxiety, boredom, apathy for analyzing not only the impact of play on state of mind and web-loyalty, but also that of state of mind on web-loyalty. According the analyses results of these models, play impacted flow and web-loyalty positively, but impacted anxiety, boredom, and apathy negatively. Results also showed that flow impacted web-loyalty positively, but anxiety, boredom, and apathy impacted web-loyalty negatively. The interpretations and implications of the test results of the hypotheses are as follows. First, respondents belonging to different clusters based on challenge and skill level experienced different states of mind such as flow, anxiety, boredom, apathy. The low challenge and low skill group felt the highest anxiety and apathy. It could be interpreted that this group feeling high anxiety or fear, then avoided attempts to shop on-line. Second, it was found that higher challenge leads to higher levels of play. Test results show that the play level of the high challenge and low skill group (anxiety group) was higher than that of the high challenge and high skill group (flow group). However, this was not significant. Third, play positively impacted flow and negatively impacted boredom. The negative impacts on anxiety and apathy were not significant. This means that the combination of challenge and skill creates different results. Forth, play and flow positively impacted web-loyalty, but anxiety, boredom, apathy had negative impacts. The effect of play on web-loyalty was stronger in case of anxiety, boredom, apathy group than fl ow group. These results show that challenge and skill influences state of mind and play. Results also demonstrate how play and flow influence web-loyalty. It implies that state of mind and play should be the core marketing variables in internet marketing. The flow theory has been focusing on flow and on the positive outcomes of flow experiences. But, this research shows that lots of consumers experience the negative state of mind rather than flow state in the internet shopping circumstance. Results show that the negative state of mind leads to low or negative web-loyalty. Play can have an important role with the web-loyalty when consumers have the negative state of mind. Results of structural equation model analyses show that play influences web-loyalty positively, even though consumers may be in the negative state of mind. This research found the impacts of challenge and skill on state of mind in the flow 4-channel model, not only flow but also anxiety, boredom, apathy. Also, it highlighted the role of play in the flow 4-channel model context and impacts on web-loyalty. However, tests show a few different results from hypothetical expectations such as the highest anxiety level of apathy group and insignificant impacts of play on anxiety and apathy. Further research needs to replicate this research and/or to compare 3-channel model with 4-channel model.

• Science of Emotion and Sensibility
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• v.14 no.4
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• pp.503-512
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• 2011

Recently in HCI research, emotion recognition is one of the core processes to implement emotional intelligence. There are many studies using bio signals in order to recognize human emotions, but it has been done merely for the basic emotions and very few exists for the other emotions. The purpose of present study is to confirm the difference of autonomic nervous system (ANS) response in three emotions (boredom, pain, and surprise). There were totally 217 of participants (male 96, female 121), we presented audio-visual stimulus to induce boredom and surprise, and pressure by using the sphygmomanometer for pain. During presented emotional stimuli, we measured electrodermal activity (EDA), skin temperature (SKT), electrocardiac activity (ECG) and photoplethysmography (PPG), besides; we required them to classify their present emotion and its intensity according to the emotion assessment scale. As the results of emotional stimulus evaluation, emotional stimulus which we used was shown to mean 92.5% of relevance and 5.43 of efficiency; this inferred that each emotional stimulus caused its own emotion quite effectively. When we analyzed the results of the ANS response which had been measured, we ascertained the significant difference between the baseline and emotional state on skin conductance response, SKT, heart rate, low frequency and blood volume pulse amplitude. In addition, the ANS response caused by each emotion had significant differences among the emotions. These results can probably be able to use to extend the emotion theory and develop the algorithm in recognition of three kinds of emotions (boredom, surprise, and pain) by response measurement indicators and be used to make applications for differentiating various human emotions in computer system.

• Science of Emotion and Sensibility
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• v.12 no.4
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• pp.381-392
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• 2009

The aim of this study was to develop a research protocol that provides standardized conditioning stimuli in effectively evoking emotion-specific responses in children. The protocol targets five specific emotions(i.e., happiness, sadness, anger, distress, and boredom) by introducing study participants to a combination of music, color, stories, and dolls. This research protocol also includes a self-report emotion assessment scale specially developed for this study to verify the types of emotion induced. Evaluation of the method entailed triangulation of the results from the subjects' self-reported emotional state corresponding to each conditioned stimulus as well as behavioral observations conducted by researchers. Findings suggest that this new protocol effectively evokes five emotions in correspondence to the way it was intended for appropriate emotion induction. Additionally, results showed that female children than male children are more likely to feel boredom; and school-aged children were more likely to react to sadness than pre-school children.

• Journal of the Ergonomics Society of Korea
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• v.31 no.3
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• pp.427-435
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• 2012

The aim of this study is to investigate facial temperature changes induced by facial expression and emotional state in order to recognize a persons emotion using facial thermal images. Background: Facial thermal images have two advantages compared to visual images. Firstly, facial temperature measured by thermal camera does not depend on skin color, darkness, and lighting condition. Secondly, facial thermal images are changed not only by facial expression but also emotional state. To our knowledge, there is no study to concurrently investigate these two sources of facial temperature changes. Method: 231 students participated in the experiment. Four kinds of stimuli inducing anger, fear, boredom, and neutral were presented to participants and the facial temperatures were measured by an infrared camera. Each stimulus consisted of baseline and emotion period. Baseline period lasted during 1min and emotion period 1~3min. In the data analysis, the temperature differences between the baseline and emotion state were analyzed. Eyes, mouth, and glabella were selected for facial expression features, and forehead, nose, cheeks were selected for emotional state features. Results: The temperatures of eyes, mouth, glanella, forehead, and nose area were significantly decreased during the emotional experience and the changes were significantly different by the kind of emotion. The result of linear discriminant analysis for emotion recognition showed that the correct classification percentage in four emotions was 62.7% when using both facial expression features and emotional state features. The accuracy was slightly but significantly decreased at 56.7% when using only facial expression features, and the accuracy was 40.2% when using only emotional state features. Conclusion: Facial expression features are essential in emotion recognition, but emotion state features are also important to classify the emotion. Application: The results of this study can be applied to human-computer interaction system in the work places or the automobiles.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2000.04a
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• pp.366-369
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• 2000

This paper examines three algorithms to recognize speaker's emotion using the speech signals. Target emotions are happiness, sadness, anger, fear, boredom and neutral state. MLB(Maximum-Likeligood Bayes), NN(Nearest Neighbor) and HMM (Hidden Markov Model) algorithms are used as the pattern matching techniques. In all cases, pitch and energy are used as the features. The feature vectors for MLB and NN are composed of pitch mean, pitch standard deviation, energy mean, energy standard deviation, etc. For HMM, vectors of delta pitch with delta-delta pitch and delta energy with delta-delta energy are used. We recorded a corpus of emotional speech data and performed the subjective evaluation for the data. The subjective recognition result was 56% and was compared with the classifiers' recognition rates. MLB, NN, and HMM classifiers achieved recognition rates of 68.9%, 69.3% and 89.1% respectively, for the speaker dependent, and context-independent classification.

• Journal of the Ergonomics Society of Korea
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• v.31 no.2
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• pp.271-279
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• 2012

Objective: This study classified three different emotional states(boredom, pain, and surprise) using physiological signals. Background: Emotion recognition studies have tried to recognize human emotion by using physiological signals. It is important for emotion recognition to apply on human-computer interaction system for emotion detection. Method: 122 college students participated in this experiment. Three different emotional stimuli were presented to participants and physiological signals, i.e., EDA(Electrodermal Activity), SKT(Skin Temperature), PPG(Photoplethysmogram), and ECG (Electrocardiogram) were measured for 1 minute as baseline and for 1~1.5 minutes during emotional state. The obtained signals were analyzed for 30 seconds from the baseline and the emotional state and 27 features were extracted from these signals. Statistical analysis for emotion classification were done by DFA(discriminant function analysis) (SPSS 15.0) by using the difference values subtracting baseline values from the emotional state. Results: The result showed that physiological responses during emotional states were significantly differed as compared to during baseline. Also, an accuracy rate of emotion classification was 84.7%. Conclusion: Our study have identified that emotions were classified by various physiological signals. However, future study is needed to obtain additional signals from other modalities such as facial expression, face temperature, or voice to improve classification rate and to examine the stability and reliability of this result compare with accuracy of emotion classification using other algorithms. Application: This could help emotion recognition studies lead to better chance to recognize various human emotions by using physiological signals as well as is able to be applied on human-computer interaction system for emotion recognition. Also, it can be useful in developing an emotion theory, or profiling emotion-specific physiological responses as well as establishing the basis for emotion recognition system in human-computer interaction.

• Journal of English Language & Literature
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• v.57 no.2
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• pp.315-337
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• 2011

This paper aims to examine a truth about love - the close relationship between a person's passionate love and that same person's loneliness and suppressed desires, a relationship that Carson McCullers (1917-1967) portrays in The Ballad of the Sad Cafe. McCullers, one of several brilliant writers from Southern America, managed to overcome her cruel situation and showed deep insight into the human condition, particularly in regard to the relation between love and isolation. The Ballad of the Sad Cafe, like her other works, examines the spiritual isolation and the agony of love that three lovers experience. The love in this story is a triangular relationship among the three main characters, Amelia, Lymon and Marvin Macy. The distinctive characteristics of love described in this story are that each character falls into blind and passionate love for the person he/she loves, no matter how the beloved responds. Love also changes the lover, not the beloved, revealing the completely opposite nature of the lover. The opposite nature and the inner secrets that the love reveals about the lovers reflect their frustrated and suppressed desires, which is femininity and motherhood for Amelia, non-violent masculine power for Macy, and physical attraction and power for the hunchback, Lymon. These suppressed desires are rooted in the deep sense of frustration that they had to experience in their childhood. In short, the seemingly unconditional love of the main characters is not an ideal, altruistic love, but a reflection of their inner desires. This story, however, does not seem to criticize this kind of love but simply tries to give an honest picture of what love might be. It also admits that 'deformed' love is still better than no love (and consequently no stimulus) because what really damages and causes decay in human beings and in a community, is the state of boredom.

• Journal of the Korea Convergence Society
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• v.11 no.4
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• pp.119-124
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• 2020

In this paper, in order to encourage the user's exercise, we presented an exercise goal that considers the user's weight and exercise state, and dealt with a study on an app that gives a goal using GPS information. Unlike the vague numbers and times suggested in the existing app, it is presented specifically with the surrounding buildings or structures using GPS information. In addition, to use competitive psychology to exercise encouragement, it shows the movement information of people connected to the app and allows users to use the competitive psychology to get the effect of exercising many people. The app creates coordinates of major buildings and sets markings using the Naver Map SDK location information to present specific targets. It is easy for users to get bored if they give a goal every time, and the boredom that the user feels decreases the interest in the exercise. In order to not to lose interest in athletic interest. the app switches to game mode and give a light goal that doesn't matter user's weight or exercise status, and rewards user for achieving the suggested goals. Game mode is added to app that connects a person's will to practice. It adds fun elements to create interest, and uses competitiveness to help you live a healthy life with a steady workout. Technically, to improve the accuracy of smart-phone map display using GPS and the tilt processing was to be able to display the exact location.