• Journal of Information Technology Applications and Management
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• 제11권1호
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• pp.117-135
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• 2004

Since human decision making behavior is likely to follow nonlinear strategy, it is conjectured that the human decision making behavior can be modeled better by nonlinear models than by linear models. All that linear models can do is to approximate rather than model the decision behavior. This study attempts to test this conjecture by analyzing human decision making behavior and combining the results of the analysis with predictive performance of both linear models and nonlinear models. In this way, this study can examine the relationship between the predictive performance of models and the existence of valid nonlinear strategy in decision making behavior. This study finds that the existence of nonlinear strategy in decision making behavior is highly correlated with the validity of the decision (or the human experts). The second finding concerns the significant correlations between the model performance and the existence of valid nonlinear strategy which is detected by Lens Model. The third finding is that as stronger the valid nonlinear strategy becomes, the better nonlinear models predict significantly than linear models. The results of this study bring an important concept, validity of nonlinear strategy, to modeling human experts. The inclusion of the concept indicates that the prior analysis of human judgement may lead to the selection of proper modeling algorithm. In addition, lens Model Analysis is proved to be useful in examining the valid nonlinearity in human decision behavior.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2004년도 추계학술대회 논문집
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• pp.1225-1227
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• 2004

The robotic shoe testing system that mechanically simulates human motion was proposed to overcome the problems associated with human subject tests. The objective of this study is to predict new motion trajectory for robot that will produce similar force and moment of particular human motion. In order to solve this problem, it is imperative to understand the dynamics of robot for shoe testing. The methodology using parameter estimation technique was proposed for this problem. Since the dynamics of robot is certainly different from that of human, it is necessary to adapt/modify the robot's trajectory for future analysis, which is currently under investigation.

• ETRI Journal
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• 제36권4호
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• pp.662-672
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• 2014

Human action recognition is used in areas such as surveillance, entertainment, and healthcare. This paper proposes a system to recognize both single and continuous human actions from monocular video sequences, based on 3D human modeling and cyclic hidden Markov models (CHMMs). First, for each frame in a monocular video sequence, the 3D coordinates of joints belonging to a human object, through actions of multiple cycles, are extracted using 3D human modeling techniques. The 3D coordinates are then converted into a set of geometrical relational features (GRFs) for dimensionality reduction and discrimination increase. For further dimensionality reduction, k-means clustering is applied to the GRFs to generate clustered feature vectors. These vectors are used to train CHMMs separately for different types of actions, based on the Baum-Welch re-estimation algorithm. For recognition of continuous actions that are concatenated from several distinct types of actions, a designed graphical model is used to systematically concatenate different separately trained CHMMs. The experimental results show the effective performance of our proposed system in both single and continuous action recognition problems.

• 대한안전경영과학회지
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• 제21권4호
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• pp.67-74
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• 2019

Visual inspection is regarded as one of the critical activities for quality control in a manufacturing company. it is thus important to improve the performance of detecting a defective part or product. There are three probable working modes for visual inspection: fully automatic (by automatic machines), fully manual (by human operators), and semi-automatic (by collaboration between human operators and automatic machines). Most of the current studies on visual inspection have been focused on the improvement of automatic detection performance by developing a better automatic machine using computer vision technologies. However, there are still a range of situations where human operators should conduct visual inspection with/without automatic machines. In this situation, human operators'performance of visual inspection is significant to the successful quality control. However, visual inspection of components assembled into a mobile camera module belongs to those situations. This study aims to investigate human performance issues in visual inspection of the components, paying more attention to human errors. For this, Abstraction Hierarchy-based work domain modeling method was applied to examine a range of direct or indirect factors related to human errors and their relationships in the visual inspection of the components. Although this study was conducted in the context of manufacturing mobile camera modules, the proposed method would be easily generalized into other industries.

• 산업경영시스템학회지
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• 제32권2호
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• pp.85-93
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• 2009

GOMS model is a cognitive modeling method of human performance based on Goal, Operators, Methods, Selection rules. GOMS model was originally designed for desktop environment so that it is difficult for GOMS model to be implemented into the mobile environment. In addition, GOMS model would be inaccurate because the original GOMS model was based on serial processing, excluding one of most important human information processing characteristics, parallel processing. Therefore this study was designed to propose a modified GOMS model including mobile computing and parallel processing. In order to encompass mobile environment, an operator of 'look for' was divided into 'visual move to' and 'recognize' whereas 'point to' and 'click' were combined into 'tab.' The results showed that newly introduced operators were necessary to estimate more accurate mobile computing behaviors. In conclusion, modified-GOMS model could predict human performance more accurately than the original GOMS model in the mobile computing environment.

• 한국CDE학회논문집
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• 제18권3호
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• pp.155-166
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• 2013

We present recent human-vehicle interaction (HVI) research conducted in the area of defense and military application. Research topics discussed in this paper include: training simulation for overland navigation tasks; expertise effects in overland navigation performance and scan patterns; pilot's perception and confidence on an overland navigation task; effects of UAV (Unmanned Aerial Vehicle) supervisory control on F-18 formation flight performance in a simulator environment; autonomy balancing in a manned-unmanned teaming (MUT) swarm attack, enabling visual detection of IED (Improvised Explosive Device) indicators through Perceptual Learning Assessment and Training; usability test on DaViTo (Data Visualization Tool); and modeling peripheral vision for moving target search and detection. Diverse and leading HVI study in the defense domain suggests future research direction in other HVI emerging areas such as automotive industry and aviation domain.

• 산업노동연구
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• 제19권1호
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• pp.65-104
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• 2013

본 연구는 자원기반관점을 기초로 고성과작업시스템-종업원성과-운영성과 간 관계를 실증적으로 검증하고자 하였다. 조직수준의 고성과작업시스템과 개인수준의 종업원 태도 간 실증분석을 위해 위계적 선형모형(hierarchical linear modeling)을 활용한 다수준분석을 실시하여 인과관계의 정확성을 높였다. 이를 위해, 제3차 인적자원기업패널(HCCP: Human Capital Corporate Panel) 데이터 가운데 316개 기업과 7,872명(팀장 923명 포함)의 응답자를 대상으로, 고성과작업시스템이 개인수준인 종업원성과에 미치는 영향을 확인하였다. 이후, 분석수준을 일치시키기 위해 개인수준(종업원성과)과 팀수준(운영성과)의 패널자료를 조직수준으로 집산(aggregation)하여 타당화 검증을 실시하고, 조직수준에서 매개효과를 검증하였다. 그 결과, 고성과작업시스템은 종업원성과(직무만족, 조직몰입, 신뢰)와 운영성과에 각각 유의한 영향을 미치는 것으로 나타났다. 종업원성과 개별변수의 매개효과 검증에서는 직무만족과 신뢰가 고성과작업시스템과 운영성과 간 관계를 매개하는 것으로 나타났다. 결론에는 연구의 결과, 이론적 시사점 및 한계점을 제시하고 있다.

• The Journal of Asian Finance, Economics and Business
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• 제7권9호
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• pp.593-602
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• 2020

The purpose of this study is to examine and analyze the effect of human capital supply chain on the firm performance mediated by innovation culture and innovation process on small- and medium-sized construction enterprises (SMEs) in Indonesia. A survey has been distributed to all construction SMEs that have direct involvement in construction work (contractors and subcontractors). The construction SMEs including medium- and small-scale construction services in three Provinces, namely, the special region of Yogyakarta, East Java, and Central Java. Through purposive sampling technique, primary data is collected by giving a questionnaire to the owner/manager of construction SMEs. The target sample in this study was 200 respondents who have been operating for a minimum of two years. 154 valid questionnaires could be processed. Data analysis uses structural equation modeling with AMOS 24. The results of the study conclude that there is a positive effect on human capital supply chain on firm performance mediated by innovation culture and innovation process, while innovation culture does not affect firm performance. In sum, the innovation culture mediates the relationship between human capital supply chain and firm performance, and the innovation process mediates the relationship between human capital supply chain and firm performance.

• 한국군사과학기술학회지
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• 제10권2호
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• pp.21-30
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• 2007

A practical method to design the input shaping which generates control command is proposed in this paper, We suggest an experimental technique considering human operator's target tracking error to improve aiming accuracy which significantly affects hit probability. It is known that stabilization performance is one of the most important factors for ground combat vehicle system. In particular, stabilization error of the manual target tracking system mounted on moving vehicle directly affects hit probability. To reduce this error, we applied input command shaping method using preprocessing filtering and functional curve fitting. First of all, we construct the human operator model to consider effects of human operator on our system. Input shaping curve is divided into several regions to get rid of the above problems and to improve the system performance. At example design part, we chose three steps of functional command curve and determine the parameters of the function by the proposed design method. In order to verify the proposed design method, we carried out the experiments with real plant of a fighting vehicle.

• 전자공학회논문지SC
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• 제44권3호
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• pp.51-57
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• 2007

표적추적장치의 수동제어기는 인간 운용자의 동특성에 따라 제어명령을 생성하고 원하지 않는 잡음과 외란의 영향으로 시스템의 성능과 안정성을 보장하지 못하게 하는 요인이 되고 있다. 특히, 야지를 기동시 운용자의 운용환경에 따라 운용자 특성이 변동될 경우 시스템의 성능저하와 불안정성은 더욱 증가 된다. 즉, 인간이 제어루프에 포함된 수동제어기는 설계단계에서 시간지연과 같은 운용자의 특성을 고려하여야 하며, 운용자에 의해 생성되는 제어명령이 실제 운용환경에서 외란과 동특성의 변화에 적합하도록 하여야 한다. 본 논문에서는 전시기를 통해 표적을 수동핸들로 추적하는 표적추적장치의 수동제어기를 인간운용자를 포함시켜 구성하고자, 추적명령을 생성하는 운용자 모델링을 수행하였다. 특히, 주행하는 차량에 탑재된 표적추적장치는 외란과 추적위치에 잡음이 많이 존재하기 때문에 운용자 모델링이 쉽지 않은 것으로 알려져 있다. 따라서, 수동표적추적장치의 실제 운용환경에서 수집된 데이터를 이용하여 운용자 및 수동제어기의 모델링을 수행하고, 시뮬레이션을 통하여 적용된 운용자 모델의 타당성과 실효성을 보였다.