• Archives of design research
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• v.15 no.4
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• pp.317-326
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• 2002

The Web has taken a strong post as one of the media for advertisement for long time. The Internet has an advantage of an easy access to each of customers; the fractioning of the potential customers; the transcending of the time and space; and the utilizing of the multimedia. As such, the Web as a communication tool has not only all characteristics of the existing media but also the factors such as the sound, motion, and interaction. Therefore the Web designing should be much more flexible and open than any other medias. Nevertheless, most of the Webs being created currently appear to be simply perfunctory and functional. This is because a methodological aspect has not been rooted firmly as the Web design industry has been developed too rapidly, driven by the explosive demand. Therefore, this study is designed to demonstrate the approaching method to the Web-interface designing as an alternative for such methodological aspect. In other words, it is the very stillness-motion interface designing of the Web, based on the e-advertisement concept. The Web as one of the media for advertisement gives the heaviest weight to the users emotional aspects than any other media do. Therefore, it is very important to get the differentiation and impact in the Web-interface designing through the users emotional aspects.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.4
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• pp.562-567
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• 2009

As a key mechanism of the human emotion interaction, Facial Expression is a powerful tools in HRI(Human Robot Interface) such as Human Computer Interface. By using a facial expression, we can bring out various reaction correspond to emotional state of user in HCI(Human Computer Interaction). Also it can infer that suitable services to supply user from service agents such as intelligent robot. In this article, We addresses the issue of expressive face modeling using an advanced active appearance model for facial emotion recognition. We consider the six universal emotional categories that are defined by Ekman. In human face, emotions are most widely represented with eyes and mouth expression. If we want to recognize the human's emotion from this facial image, we need to extract feature points such as Action Unit(AU) of Ekman. Active Appearance Model (AAM) is one of the commonly used methods for facial feature extraction and it can be applied to construct AU. Regarding the traditional AAM depends on the setting of the initial parameters of the model and this paper introduces a facial emotion recognizing method based on which is combined Advanced AAM with Bayesian Network. Firstly, we obtain the reconstructive parameters of the new gray-scale image by sample-based learning and use them to reconstruct the shape and texture of the new image and calculate the initial parameters of the AAM by the reconstructed facial model. Then reduce the distance error between the model and the target contour by adjusting the parameters of the model. Finally get the model which is matched with the facial feature outline after several iterations and use them to recognize the facial emotion by using Bayesian Network.

• Archives of design research
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• v.14 no.4
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• pp.5-14
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• 2001

Among Human Sensibility-oriented products a gap between the images that designers try to express through that product and users emotional evaluation becomes an issue. The data on the correlation between image words used for design evaluation and images used in the design process are especially significant. This study based on these correlations suggests a Fuzzy retrieval system supporting styling design with images and image words. In the system, the relational data are demonstrated by Fuzzy thesaurus as correlation coefficient from the degree of similarity among image words. And the degree of similarity is produced based on image evaluation. Image retrieval is conducted by the algorithm of Fuzzy thesaurus development, 1) among image words, 2) images to image words, 3) image words to images and 4) among images: 4 different modes are provided as retrieval modes. Also transfer between modes is carried by direct operating interface, therefore divergent thinking and convergent thinking is supported well. The system consists of operation for the gap and the measurement unit of emotional evaluation, and visualization units. Under unified interface environments are set in order for consistency of the operation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.1
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• pp.176-183
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• 2013

This study is focused on analyzing the quality importance of hotel SNS(social network service). And by reviewing precedent papers and references regarding concept and quality factors about SNS in hotel industry, it drew proper criteria to select priorities and evaluate hotel SNS quality using AHP. The important factors based upon related theories are suggested in this paper such as information quality, system quality, service quality, interface quality and emotional quality. The survey for empirical study was executed with hotel employees and total 149 questionnaires were used for this study. We used AHP for statistical analysis, As the results, the most important factor is emotional quality factor and the next is interface quality factor.

• 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.

• Science of Emotion and Sensibility
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• v.13 no.3
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• pp.429-440
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• 2010

It is known that as many as 1 in 91 children are diagnosed with an autistic spectrum disorder, and the incidence rate of the autistic spectrum disorder is much higher than that of cancer in Korea. It is necessary to develop a novel technology to sense their emotional status and give proper psychological diagnosis and therapy, since the children with autistic spectrum disorder usually do not express their own emotional status. This article presents the state-of-the-arts on the affective computing technologies that include recognition of emotional status through bio-sensing and virtual affective agent modeling, and then proposes a novel system architecture for diagnosis and therapy of autistic spectrum disorder. The diagnosis and therapy system of autistic spectrum disorder is composed of bio-sensing module, virtual environment module with affective agents, and haptic interface module. The architecture proposed in this paper will enhance the objectivity to diagnose autism spectrum disorders, and enable continuous treatment in daily life.

• The Journal of the Korea Contents Association
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• v.20 no.2
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• pp.594-606
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• 2020

On the contrary to the steady rise of social problems about depression, only a few take care of mental health themselves due to their negative perception of psychotherapy. In this study, we propose service design and user interface design of mobile applications that introduce an automatic emotional recognition system to prevent leaving depression unattended. First, we have come up with improvements in the usability of existing apps through literature research and case analysis, and draw out Personas from surveys and in-depth interviews of young people. As an essential element of the design of the Depression Improvement Service, we recommend having three components: writing a diary to manage schedule, recognize users' emotional state through avatar management, and tracking down emotional points to improve the cognitive system. Through this proposal, we want to prevent the development of depression and help to resolve the changes in perception of depression and longitude depression on our own. Ultimately, we publicize the necessity of mental health care application design and expect to lower the personal and social costs for psychiatric care.

• Archives of design research
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• v.15 no.1
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• pp.135-142
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• 2002

To show the analytic approach to website sue, this paper discusses style's function that is immediately related to users emotional and aesthetic satisfaction. And we make an analysis of several websites based on various visual factors. Style provides emotion, a shared experience, context that makes the message arts function immediately apparent, and interests. It is a principle design feature that parallels cognitive function. Visual factors of website interface could be extracted from various aspects which are organization level, medial level, and formative level. Based on the extracted visual factors, we analyze the style which convey emotional idea. We select several sites which are opposite side in the image map with son-hard and warm-cool axis, and then make an analysis of them in two points which are organization and formative factors and communication means for emotional effect. To understand the systematic approach to website style could be helpful for figuring out the design problems and bringing out many solutions. It could be base for concrete guideline for website page design.

• Science of Emotion and Sensibility
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• v.12 no.2
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• pp.233-242
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• 2009

Recently the studies on user-centered design and form-development have become issues of general interest as the key methods for successful design. For form analysis on user it is important needs that an integrated approach of existing methods and development of expert tool for designer. Moreover analysis methods and tools have to meet with the designers needs of visual result, clear direction, concrete formative factor, user's emotional response and designer-friendly interface. This study proposed the main concepts of form analysis tool based on the user's emotional response ; integrated management, variables set-up, visual result of analysis, in-depth analysis with data mining and correlation, and reinforcement of user-centered analysis. Specific analysis tool consists of 5 functions: Project Management, Analysis Frame Set-up, Data Input-output, Basic Analysis, and In-depth Analysis. The feasibility of proposed tool was verified by a case study of mobile phone design in under-graduate class.

• The Journal of the Korea Contents Association
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• v.21 no.1
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• pp.1-11
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• 2021

The users of a chatbot messenger can be better engaged in the conversation if they feel intimacy with the chatbot. This can be achieved by the chatbot's effective expressions of human emotions to chatbot users. Thus motivated, this study aims to identify the appropriate emotional expressions of a chatbot that make people feel the social presence of the chatbot. In the background research, we obtained that facial expression is the most effective way of emotions and movement is important for relationship emersion. In a survey, we prepared moving text, moving gestures, and still emoticon that represent five emotions such as happiness, sadness, surprise, fear, and anger. Then, we asked the best way for them to feel social presence with a chatbot in each emotion. We found that, for an arousal and pleasant emotion such as 'happiness', people prefer moving gesture and text most while for unpleasant emotions such as 'sadness' and 'anger', people prefer emoticons. Lastly, for the neutral emotions such as 'surprise' and 'fear', people tend to select moving text that delivers clear meaning. We expect that this results of the study are useful for developing emotional chatbots that enable more effective conversations with users.