• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.42.3-42
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• 2002

Fuzzy Neural Network (FNN) is a compulsory element in a voice-controlled machine due to its inherent capability of interpreting imprecise natural language commands. To control such a machine, user's perception of imprecise words is very important because the words' meaning is highly subjective. This paper presents a voice based controller centered on an adaptable FNN to capture the user's perception of imprecise words. Conversational interface of the machine facilitates the learning through interaction. The system consists of a dialog manager (DM), the conversational interface, a Knowledge base, which absorbs user's perception and acts as a replica of human understanding of imprecise words,...

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.933-934
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• 2006

High level perceptual tasks such as context understanding, SLAM and object recognition are essential for intelligent robot to provide services for human supports. Those intelligent robots often use camera sensor for vision information, sonar or laser sensor for range information, encoder for angular velocity of wheel and so on. The information is generated at different time intervals by the different H/W devices and S/W algorithms. The generation of high level information requires the specific mixture of low level information. And the information should be represented to be useful for robots to use in their ecological niche. In conventional robot systems, perceptual module requires the resource to use by tightly coupling whenever it is needed. So the resource and information cannot be easily shared and even could be invalid for the delayed information. In this paper, we propose a synchronization system of robot-centered information for context understanding. Our system represents information for the robot capacity and synchronizes the information that is asynchronously generated, where is employed the black-board architecture.

• Journal of the HCI Society of Korea
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• v.9 no.1
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• pp.23-28
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• 2014

In this study we focus on the effect of the interaction between humans and reactive television when emotion recognition through facial expression mechanism is used. Most of today's user interfaces in electronic products are passive and are not properly fitted into users' needs. In terms of the user centered device, we propose that the emotion based reactive television is the most effective in interaction compared to other passive input products. We have developed and researched next generation cognitive TV models in user centered. In this paper we present a result of the experiment that had been taken with Fraunhofer IIS $SHORE^{TM}$ demo software version to measure emotion recognition. This new approach was based on the real time cognitive TV models and through this approach we studied the relationship between humans and cognitive TV. This study follows following steps: 1) Cognitive TV systems can be on automatic ON/OFF mode responding to motions of people 2) Cognitive TV can directly select channels as face changes (ex, Neutral Mode and Happy Mode, Sad Mode, Angry Mode) 3) Cognitive TV can detect emotion recognition from facial expression of people within the fixed time and then if Happy mode is detected the programs of TV would be shifted into funny or interesting shows and if Angry mode is detected it would be changed to moving or touching shows. In addition, we focus on improving the emotion recognition through facial expression. Furthermore, the improvement of cognition TV based on personal characteristics is needed for the different personality of users in human to computer interaction. In this manner, the study on how people feel and how cognitive TV responds accordingly, plus the effects of media as cognitive mechanism will be thoroughly discussed.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.6
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• pp.194-210
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• 2022

The user-centered EV charging infrastructure construction policy the government is aiming for can increase convenience for electric vehicle users and bring new electric vehicle users into the market. This study was conducted to provide an in-depth understanding of the charging behaviors of actual electric vehicle users, which can be used as basic information for the electric vehicle charging infrastructure. Based on charging diary data collected for a week, the charging of electric vehicles was analyzed on a daily and weekly basis, and sequence analysis and latent class analysis were used. As a result, five daily charging profiles and four weekly charging profiles were identified, which are expected to contribute to revitalizing the electric vehicle market by providing key information for decision-making by potential electric vehicle users as well for establishing user-centered charging infrastructure policies in the future.

• Journal of the Korean Society of Clothing and Textiles
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• v.48 no.3
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• pp.433-450
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• 2024

Through the recent pandemic, this study examined the theory of awe, which explains that external crises affect people's value systems and consequential behaviors. During the pandemic, some consumers expressed a growing interest in equity, while others pursued the consumption of materialistic items, such as luxurious fashion goods. According to the theory of awe, both of these phenomena could be coping responses to the crisis. Based on this, we attempted to understand the psychological processes behind the pandemic's effect on these two different consumers value systems thereby influencing sustainable consumption intentions: one through the new ecological paradigm (NEP) that emphasizes consumers' increased consciousness, and the other through materialism that emphasizes consumers' self-centered side. The results obtained from a survey of 382 U.S. consumers revealed that the degree of pandemic experience increased consumers' NEP and materialism, which also increased their economic and ethical CSR expectations. These CSR expectations then enhanced consumers' sustainable consumption intentions. As sustainable consumption and CSR are important agendas for the fashion industry, this study will provide useful insights for researchers and practitioners in the fashion field.

• Journal of the Korea Society of Computer and Information
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• v.18 no.7
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• pp.57-67
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• 2013

This study suggests for effective operation of systematic analysis method for human factors which is based on the requirement architecture framework a requirement process to manage requirements for improvement is discussed, such as in requirements generation, database construction, management of experimental design, and management of the design traceability. For the objectives, we analyzed the method construct of the starting point views of user requirement which is adopted the requirement architecture concept to cover the whole activities required to do and the human factors guidelines and standards are suggested for verification and validation of the develop requirements. It is getting more attention as the operation of the enabling systems goes up these days. Throughout the propose of this study, human factors requirement database design presented in operational environment system for enabling system which is based on case study using a computer aided se tool. This study will be contributed to how the operational requirement database for the enabling system and operational human factors can be constructed in an integrated system design fashion.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.2
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• pp.462-470
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• 2011

ARS (Automatic Response Systems) based on VUI (Voice User Interface) and TTI (Touch Tone Interface) are one of the most widely used communication systems. Despite common usages, however, inconvenience of ARS is continually pointed out. This may stem from lack of human-centered studies aside from technological development. In this paper, we provide guidelines for designing ARS by analyzing hindrance factors of usability of ARS menu structure. We had selected two call-centers using ARS, and carried out an experimental study where subjects performed the task of "returning books." After that, they completed questionnaires and interviews. We identified four problems: the complex menu structure, lack of representativeness on the menu name, users' awareness of location, and a difficulty to move among menus. And we partially discussed the ways of avoiding the problems.

• Electronics and Telecommunications Trends
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• v.35 no.7
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• pp.67-76
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• 2020

Because of the development and spread of artificial intelligence (AI) technology, new security threats and adverse AI functions have emerged as a real problem in the process of diversifying areas of use and introducing AI-based products and services to users. In response, it is necessary to develop new AI-based technologies in the field of information protection and security. This paper reviews topics such as domestic and international trends on false information detection technology, cyber security technology, and trust distribution platform technology, and it establishes the direction of the promotion of technology development. In addition, the development of international trends in ethical AI guidelines to ensure the human-centered ethical validity of AI development processes and final systems in parallel with technology development are analyzed and discussed. ETRI has developed AI policing technology, information protection, and security technologies as well as derived tasks and implementation strategies to prepare ethical AI development guidelines to ensure the reliability of AI based on its capabilities.

• International journal of advanced smart convergence
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• v.12 no.3
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• pp.127-140
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• 2023

While tools exist for blind people to understand shapes, these are not commercially available nor affordable and often require the assistance of sighted people. Thus, we designed two low-cost grid-based tactile tools using toggle buttons (TogGrid) and cotton balls (CottonGrid). To assess the potential of these as an educational tool, we conducted a user study with 12 people with visual impairments where they were asked to understand and reproduce shapes under different conditions. Although CottonGrid is relatively cheap and easy to make, findings show that TogGrid was perceived to be better in terms of perceived easiness, task completion time, accuracy, and preference in general. Particularly, participants valued TogGrid for enabling them to identify and correct errors. Based on the findings, we provide implications for utilizing toggle buttons for designing educational instruments for learning and expressing shapes for blind people.

• Journal of Electrical Engineering and Technology
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• v.9 no.2
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• pp.762-770
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• 2014

Tangible Space Initiative (TSI) is a new framework that can provide a more natural and intuitive Human Computer Interface for users. This is composed of three cooperative components: a Tangible Interface, Responsive Cyber Space, and Tangible Agent. In this paper we present a Tangible Tele-Meeting system in TSI, which allows people to communicate with each other without any spatial limitation. In addition, we introduce a method for registering a Tangible Avatar with a Tangible Agent. The suggested method is based on relative pose estimation between the user and the Tangible Agent. Experimental results show that the user can experience an interaction environment that is more natural and intelligent than that provided by conventional tele-meeting systems.