• Korean Journal of Cognitive Science
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• v.21 no.4
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• pp.459-480
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• 2010

A dialogue system includes various morphological analyses for recognizing a user's intention from the user's utterances. However, a user can represent various intentions via emotional states in addition to morphological expressions. Thus, a user's emotion recognition can analyze a user's intention in various manners. This paper presents a new method to automatically recognize a user's emotion for a dialogue system. For general emotions, we define nine categories using a psychological approach. For an optimal feature set, we organize a combination of sentential, a priori, and context features. Then, we employ a support vector machine (SVM) that has been widely used in various learning tasks to automatically classify a user's emotions. The experiment results show that our method has a 62.8% F-measure, 15% higher than the reference system.

• Journal of the HCI Society of Korea
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• v.3 no.1
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• pp.33-38
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• 2008

The major users of children's library are children and housewives. Recent increasing frequency of their visit to the library expands the function of it from the place where they borrow and read books further to the cultural space where each family unit can enjoy leisure activities. Though the children's library basically is a quiet place for reading books, peers' establishing friendship and emotional bond with the parents, and such plays as small scale muscular movements take place in addition to reading activities because the major users are infants under six or children in the lower grades in elementary school. Thus, in order to study the features and requirements that are inherent in the various behaviors of the children who use furniture, understanding of the particular factors in the physical environment of the children's library and the user context must precede. In reality, though the fixed form of the desks and chairs in the library was made by a small number of designers, a large number of children are using them in tremendously various ways beyond the ways that the designers had intended, adapting themselves to the environmental context. Therefore, the purpose of this study is to find out the children's using way of seats when they do reading and playing activities based on the way of interaction between children and parents, and, after modeling of the children's behavior data, to understand the demands inherent inside the various behaviors of children who use furniture.

• Journal of Internet Computing and Services
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• v.17 no.1
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• pp.23-33
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• 2016

The current smart lighting is shaped to offer the lighting environment suitable for current context, after identifying user's action and location through a sensor. The sensor-based context awareness technology just considers a single user, and the studies to interpret many users' various context occurrences and conflicts lack. In existing studies, a fuzzy theory and algorithm including ReBa have been used as the methodology to solve context conflict. The fuzzy theory and algorithm including ReBa just avoid an opportunity of context conflict that may occur by providing services by each area, after the spaces where users are located are classified into many areas. Therefore, they actually cannot be regarded as customized service type that can offer personal preference-based context conflict. This paper proposes a priority-based LED lighting control system interpreting multiple context conflicts, which decides services, based on the granted priority according to context type, when service conflict is faced with, due to simultaneous occurrence of various contexts to many users. This study classifies the residential environment into such five areas as living room, 'bed room, study room, kitchen and bath room, and the contexts that may occur within each area are defined as 20 contexts such as exercising, doing makeup, reading, dining and entering, targeting several users. The proposed system defines various contexts of users using an ontology-based model and gives service of user oriented lighting environment through rule based on standard and context reasoning engine. To solve the issue of various context conflicts among users in the same space and at the same time point, the context in which user concentration is required is set in the highest priority. Also, visual comfort is offered as the best alternative priority in the case of the same priority. In this manner, they are utilized as the criteria for service selection upon conflict occurrence.

• KIPS Transactions on Computer and Communication Systems
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• v.4 no.3
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• pp.91-96
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• 2015

Recently, the 'mobility' is one of the essential item in the field of IT. This means that 'mobility' are good mediators to get collecting user's behavior and provide freedom of mobility service for user's. This paper is proposed a mobility process orchestration(MPO) model that provide multimedia to various devices. The orchestration model provides the structure and function that can be objectify a physical devices in a user's environment to provide orchestrated service of various devices to user using a concept of MSMP(Multi Source Multi Platform). Also, using the concept of Choreography can be extracted appropriate device of the various media formats for harmonious service.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.44 no.3
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• pp.57-67
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• 2007

Researchers in mobile AR systems have so far put the value on the technical challenges involved in the limitations imposed from mobility. Beyond such immediate technical questions, however, are questions regarding the possible contents that are to be used for the user’s interaction in ubiquitous computing environment. Various aspects of context of user and environment can be utilized easily as well as effectively. Moreover, the environment will be equipped with lots of pervasive but invisible computing resources. However, it is difficult for users to have access to those computing resources. At the same time, as the smart appliances get to have more features, their user interfaces tend to become harder to use. Thus, in this paper, we propose Context-Aware Mobile Augmented Reality (CAMAR) system. In our system, users only need to take a picture of smart appliances with a built-in camera in a mobile device when they intend to control the appliances. It lets users interact with the smart appliances through personalized control interfaces on their mobile devices. Also, it supports enabling contents to be not only personalized but also shared selectively and interactively among user communities.

• Science of Emotion and Sensibility
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• v.18 no.2
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• pp.65-74
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• 2015

Nowadays, people start to focus on the value of 'Mindfulness' and 'Slowness', instead of the importance of 'Development' and 'Advancement' in their whole life. According to this background, we attempted to find new research opportunities on User Experience(UX) in usage context of 'Erasing'. Through a interdisciplinary literature review on related works regarding the concept of erasing, we tried to understanding the meaning of erasing within the perspective of philosophy, psychology, and human-computer interaction(HCI). We also conducted the contextual inquiry, one of the qualitative research methods to examine the actual usage context and the user's experience, with 79 users who were required to erase something in three usage contexts, including Paper-Eraser condition, Computer-Keyboard condition, and Tablet PC condition. The results indicate that it is important to provide not only effective erasing but also satisfaction for users in the usage-context of erasing. From these attempts, we expect that our findings will be helpful to understand the meaning of the erasing in academic and practical fields.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 2006.07a
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• pp.750-750
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• 2006

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.3
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• pp.337-342
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• 2010

The rise of music resources has led to a parallel rise in the need to manage thousands of songs on user devices. So users are tend to build play-list for manage songs. However the manual selection of songs for creating play-list is bothersome task. This paper proposes an auto play-list recommendation system considering user's context of use and preference. This system has two separate systems: mood and emotion classification system and music recommendation system. Users need to choose just one seed song for reflection their context of use and preference. The system recommends songs before the current song ends in order to fill up user play-list. User also can remove unsatisfied songs from recommended song list to adapt user preferences of the system for the next recommendation precess. The generated play-lists show well defined mood and emotion of music and provide songs that user preferences are reflected.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.1046-1048
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• 2003

Recently, various researches in respect of the positioning technologies using satellites and the other sensors have made location-based services (LBS) more common and accurate. Consequently, concern about position information has been increasing. However, since these positioning systems only focus on user's position, it is difficult to know the user's attitude or detailed behaviors at the specific position. It is worthy to study on how to acquire such human attitude or behavior, because those information is useful to know the context of the user. In this paper, the sensor unit consisting of three dimensional accelerometer was attached to human body, and autonomously measured the perpendicular acceleration of ordinary human behaviors including activity modes such as walking, running, and transportation mode using transportation such as a train, a bus, and an elevator. Subsequently, using the classified measurement results, the method to identify the human activity modes was proposed.

• Journal of Broadcast Engineering
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• v.26 no.6
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• pp.704-713
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• 2021

This paper proposes a method to prioritize the virtual objects to be selected, considering both the user's hand and the geometric relationship with the virtual objects and the user's intention which is recognized in advance. Picking up virtual objects in VR content is an essential and most commonly used interaction. When virtual objects are located close to each other in VR, a situation occurs in which virtual objects that are different from the user's intention are selected. To address this issue, this paper provides different weights for user intentions and distance between user's hand and virtual objects to derive priorities in order to generate interactions appropriately according to the situation. We conducted the experiment in the situation where the number of virtual objects and the distance between virtual objects are diversified. Experiments demonstrate the effectiveness of the proposed method when the density between virtual objects is high and the distance between each other is close, user satisfaction increases to 20.34% by increasing the weight ratio of the situation awareness. We expect the proposed method to contribute to improving interaction skills that can reflect users' intentions.