• Title/Summary/Keyword: Emotional images

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Investigating the Relationship Between Vehicle Front Images and Voice Assistants (자동차 전면부와 음성 어시스턴트의 스타일 관계 분석)

  • Min-Jung Park;So-Yeong Min;Tae-Su Kim;Hyeon-Jeong Suk
    • Science of Emotion and Sensibility
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    • v.25 no.4
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    • pp.129-138
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    • 2022
  • In the context of the increasing applications of voice assistants in vehicles, we focused on the association between the visual appeal of the cars and the acoustic characteristics of the voice assistants. This study aimed to investigate the relationship between the visual appeal of the vehicle and the voice assistant based on their emotional characteristics. A total of 15 adjectives were used to assess the emotional characteristics of 12 types of cars and six types of voices. An online interview was carried out, instructing participants to match three adjectives with the presented car images or voices. This was followed with a brief interview to allow the participants to reflect on the adjective matches. Based on the assessments, we performed principal component analysis (PCA) to determine factors. We aimed to deploy the cars and voices and analyze the patterns of clustering. The PCA analysis revealed two factors profiled as "Light-Heavy" and "Comfortable-Radical." Both car and voice stimuli were deployed in a two-dimensional space showing the internal relationship within and between the two substances. Based on the coordination data, a hierarchical cluster grouped the 18 stimuli into four groups labeled as challenge, elegance, majesty, and vigor. This study identified two latent factors describing the emotional characteristics of both car images and voice types clustered into four groups based on their emotional characteristics. The coherent matches between car style and voice type are expected to address the design concept more successfully.

Images of Good Nurses as Perceived by Nursing College Students: A Q-Methodological Approach (간호대학생이 지각한 좋은 간호사에 대한 이미지: Q-방법론적 접근)

  • Han, Dallong
    • The Journal of Korean Academic Society of Nursing Education
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    • v.24 no.1
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    • pp.61-71
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    • 2018
  • Purpose: The purpose of this study is to explore subjective perceptions of good nurses' images perceived by nursing students using Q-methodology and to identify characteristics by types and reflect them in nursing education. Methods: Between December 21 and November 30, 2017, using Q-methodology, 31 nursing students from two universities sorted and rated 34 Q-statements on a nine-point scale according to the degree of their agreement. A data analysis was conducted using the PC-QUANL program. Results: The images of good nurses, as perceived by nursing college students, were extracted into three types, each of which had unique characteristics; the cumulative variance was 55%. Three types were identified as "Task-oriented health professional type," "Emotional companion type," and "Flexible mediator type" respectively. Conclusion: This study investigated the significant differences of subjectivity in images of good nurses perceived by nursing college students. The results of this study can be applied to the development and application of a nursing education curriculum that helps nursing college students form positive nursing images and grow into competent nurses.

An Emotion-based Image Retrieval System by Using Fuzzy Integral with Relevance Feedback

  • Lee, Joon-Whoan;Zhang, Lei;Park, Eun-Jong
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.683-688
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    • 2008
  • The emotional information processing is to simulate and recognize human sensibility, sensuality or emotion, to realize natural and harmonious human-machine interface. This paper proposes an emotion-based image retrieval method. In this method, user can choose a linguistic query among some emotional adjectives. Then the system shows some corresponding representative images that are pre-evaluated by experts. Again the user can select a representative one among the representative images to initiate traditional content-based image retrieval (CBIR). By this proposed method any CBIR can be easily expanded as emotion-based image retrieval. In CBIR of our system, we use several color and texture visual descriptors recommended by MPEG-7. We also propose a fuzzy similarity measure based on Choquet integral in the CBIR system. For the communication between system and user, a relevance feedback mechanism is used to represent human subjectivity in image retrieval. This can improve the performance of image retrieval, and also satisfy the user's individual preference.

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Analysis of Preference Survey for the Media Facade Cases according to the Sensibility Keywords (감성 어휘에 따른 미디어 파사드 사례의 선호도 조사 분석)

  • Kim, Ju-Yeon
    • Korean Institute of Interior Design Journal
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    • v.22 no.2
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    • pp.58-67
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    • 2013
  • The methods used in this study included investigation of media facades used for landmarks in downtown areas in previous studies, visits to these areas, and recording of media facades. The changes in the colors or the size of buildings were analyzed among the recorded cases and 12 of these cases were selected for further study. The sensibility preference of the media facades was evaluated by sorting the 12 kinds of media facades, and providing them as materials to a group of 60 participants (40 undergraduate and 20 graduate students majoring in architecture and design) consisting of an equal proportion of males and females. This study addressed the following four_stage questions: 1) Five questions of recognition evaluation about media facades and the cognitive evaluation items of emotional vocabulary and color preference in each research case; 2) sensibility preference items regarding the media facade color design; and 3) design evaluation items of the media facades; 4) Video clips and still images were recorded from a middle distance at 7p.m to 11p.m. in central New York, Singapore, Seoul, and Beijing. The participants looked at the changes in colors through the video clips in each case and evaluated their preferences through 23 pairs of emotional vocabulary items using system dynamics. Construction of an emotional vocabulary followed, based on previous studies about media facades and color design. To evaluate the sensibility preference and the perceived representative colors of the media facade, this study suggests new emotional responses that depended on the color emotional vocabulary of light in the LED lighting technical evaluation methodology. A media facade with a moving change of colors, unlike a fixed landscape color design, suggests a new communication method based on architectural factors. New architectural color coordination can be presented for urban landscapes at night. Designs that factor in the pedestrians' emotional vocabulary or preference should take precedence over the use of high luminance and various colors.

Recognition of the emotional state through the EEG (뇌파를 통한 감정 상태 인식에 관한 연구)

  • Ji, Hoon;Lee, Chung-heon;Park, Mun-Kyu;An, Young-jun;Lee, Dong-hoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.958-961
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    • 2015
  • Emotional expression is universal and emotional state impacts important areas in our life. Until now, analyzing the acquired EEG signals under circumstances caused by invoked feelings and efforts to define their emotional state have been made mainly by psychologists based on the results. But, recently emotion-related information was released by research results that it is possible to identify mental activity through measuring and analyzing the brain EEG signals. So, this study has compared and analyzed emotional expressions of human by using brain waves. To get EEG difference for a particular emotion, we showed specific subject images to the people for changing emotions that peace, joy, sadness and stress, etc. After measured EEG signals were converged into frequence domain by FFT signal process, we have showed EEG changes in emotion as a result of the performance analyzing each respective power spectrum of delta, theta, alpha, beta and gamma waves.

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Effects of the facial expression presenting types and facial areas on the emotional recognition (얼굴 표정의 제시 유형과 제시 영역에 따른 정서 인식 효과)

  • Lee, Jung-Hun;Park, Soo-Jin;Han, Kwang-Hee;Ghim, Hei-Rhee;Cho, Kyung-Ja
    • Science of Emotion and Sensibility
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    • v.10 no.1
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    • pp.113-125
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    • 2007
  • The aim of the experimental studies described in this paper is to investigate the effects of the face/eye/mouth areas using dynamic facial expressions and static facial expressions on emotional recognition. Using seven-seconds-displays, experiment 1 for basic emotions and experiment 2 for complex emotions are executed. The results of two experiments supported that the effects of dynamic facial expressions are higher than static one on emotional recognition and indicated the higher emotional recognition effects of eye area on dynamic images than mouth area. These results suggest that dynamic properties should be considered in emotional study with facial expressions for not only basic emotions but also complex emotions. However, we should consider the properties of emotion because each emotion did not show the effects of dynamic image equally. Furthermore, this study let us know which facial area shows emotional states more correctly is according to the feature emotion.

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Video image analysis algorithms with happy emotion tree (영상 이미지 행복 감성 트리를 이용한 분석 알고리즘)

  • Lee, Yean-Ran;Lim, Young-Hwan
    • Cartoon and Animation Studies
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    • s.33
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    • pp.403-423
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    • 2013
  • Video images of emotional happiness or unhappiness, stress or emotional division of tranquility in the form of a tree is evaluated by weighting. Representative evaluation of the video image brightness contrast sensitivity ratings 1 car happy, unhappy or nervous, calm and refined with two car dependency, sensitivity to visual images are separated. Emotion Recognition of four compared to the numerical data is measured by brightness. OpenCV implementation through evaluation graph the stress intensity contrast, tranquility, happiness, unhappiness with changes in the value of four, separated by sensitivity to computing. Contrast sensitivity of computing the brightness according to the input value 'unhappy' to 'happy' or 'stress' to 'calm' the emotional changes are implemented. Emotion computing the regularity of the image to calculate the sensitivity localized computing system can be controlled according to the emotion of the contrast value of the brightness changes are implemented. The future direction of industry on the application of emotion recognition will play a positive role.

Analysis of the Correlation between Narrative and Emotions Displayed by Movie Characters through a Quantitative Analysis of Dialogues in a Movie (영화 대사의 정량적 분석을 통한 등장인물의 감정과 서사간의 상관성 연구)

  • You, Eun-Soon
    • The Journal of the Korea Contents Association
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    • v.13 no.6
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    • pp.95-107
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    • 2013
  • A linguistic element found in a movie, dialogue, plays a critical role in building up narrative structure. Still, analyses conducted on movies mostly focus on images due to the nature of a movie that conveys a story through its visual images while dialogue has either been underestimated or received less spotlight despite their importance. This study highlights the significance of lines in a movie. This study calls attention to dialogue, which has stayed out of the main focus and been on the periphery thus far when analyzing movies, so as to see how they contribute to constructing a narrative. It then spotlights the significance of dialogue in the movie. To this end, the study sorts out emotional expressions articulated by actors through their dialogues then to make polarity classification into affirmation and negation, followed by a quantitative analysis of how the polarity proportion of emotional expressions changes depending on the narrative structure. The study also suggests a narrative's relevance with emotions by pointing to dynamic emotional changes that shift between affirmation and negation depending on incidents, conflicts and resolution thereof throughout a movie.

Analysis of Taste of Middle-aged Korean Men Based on Self-image and Fashion style (한국 중년 남성의 자기이미지와 패션스타일 유형에 따른 취향 분석)

  • Kim, Hee-Yeon;Kim, Young-In
    • Journal of the Korean Society of Costume
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    • v.64 no.8
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    • pp.37-54
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    • 2014
  • The purpose of this study is to define the tastes of middle-aged Korean men by analyzing their characteristics, such as self-image, and fashion style. This study was carried out by using the Q methodology for survey research. The results of this study are as follows; First, the self-images of middle-aged men were classified into 'comfortable, calm, neat, and gentle,' 'realistic, active, sociable, and familiar,' 'sensible, emotional, romantic, and rational,' 'refined, emotional, luxurious, and sophisticated,' and 'aggressive, sensible, realistic, and rational.' Second, by analyzing the congruity of clothing form, fashion accessory, and fashion color types, this study was classified into the following 10 fashion styles: 'modern classic,' 'sophisticated,' 'town casual,' 'traditional casual,' 'comfortable,' 'chic casual,' 'contemporary,' 'gentle classic,' 'classic sporty,' and 'soft classic.' Third, this study analyzed the self-images and fashion styles of the men, and produced the following personal tastes of middle-aged men: 'success-oriented,' 'ability possession,' 'internal stability-oriented,' 'freedom-oriented,' 'self-satisfaction,' 'individuality compromise,' 'emotional release,' 'stability-oriented,' 'practicability-oriented,' and 'youth effort' types. By combining those types with social dimensions, this study produced the following tastes of middle-aged men: 'stabilized traditions,' 'achievements with high sociality,' 'youthful individuality,' 'active self-realization,' and 'realistic, logical pursuit.' The results of this study can be used as a meaningful data for developing the marketing strategy, which reflects the middle-aged men's changed tastes.

An Investigation of the Objectiveness of Image Indexing from Users' Perspectives (이용자 관점에서 본 이미지 색인의 객관성에 대한 연구)

  • 이지연
    • Journal of the Korean Society for information Management
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    • v.19 no.3
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    • pp.123-143
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    • 2002
  • Developing good methods for image description and indexing is fundamental for successful image retrieval, regardless of the content of images. Researchers and practitioners in the field of image indexing have developed a variety of image indexing systems and methods with the consideration of information types delivered by images. Such efforts in developing image indexing systems and methods include Panofsky's levels of image indexing and indexing systems adopting different approaches such as thesauri-based approach, classification approach. description element-based approach, and categorization approach. This study investigated users' perception of the objectiveness of image indexing, especially the iconographical analysis of image information advocated by Panofsky. One of the best examples of subjectiveness and conditional-dependence of image information is emotion. As a result, this study dealt with visual emotional information. Experiments were conducted in two phases : one was to measure the degree of agreement or disagreement about the emotional content of pictures among forty-eight participants and the other was to examine the inter-rater consistency defined as the degree of users' agreement on indexing. The results showed that the experiment participants made fairly subjective interpretation when they were viewing pictures. It was also found that the subjective interpretation made by the participants resulted from the individual differences in terms of their educational or cultural background. The study results emphasize the importance of developing new ways of indexing and/or searching for images, which can alleviate the limitations of access to images due to the subjective interpretation made by different users.