• The Journal of Korea Robotics Society
• /
• v.13 no.3
• /
• pp.151-156
• /
• 2018

Military robots are expected to play an important role in the future battlefield, and will be actively engaged in dangerous, repetitive and difficult tasks. During the robots perform the tasks a human operator controls the robots in a supervisory way. The operator recognizes battlefield situations from remote robots through an interface of the operator control center, and controls them. In the meantime, operator workload, controller interface, robot automation level, and task complexity affect robot operability. In order to assess the robot operability, we have developed ROSim (Robot Operational Simulator) incorporating these operational factors. In this paper, we introduce the results of applying ROSim experimentally to the assessment of reconnaissance robot operability in a battle field. This experimental assessment shows three resulting measurements: operational control workload, operational control capability, mission success rate, and discuss its applicability to the defense robot research and development. It is expected that ROSim can contribute to the design of an operator control center and the design analysis of a human-robot team in the defense robot research and development.

• East Asian Journal of Business Economics (EAJBE)
• /
• v.10 no.1
• /
• pp.59-69
• /
• 2022

Purpose - Burnouts cause the workers to quit their jobs because with the heavy workloads that the employees get subjected to, they feel that they have little control over what they have to accomplish in the workplace. The purpose of this research is to provide adequate solutions using brief consultation process, reducing negative psychological factors. Research design, Data, and methodology - The current research conducted the 'Qualitative Content Analysis' (QCA), which is one of the most employed analytical tools; it has been used widely all over the globe in various research applications in library science and information. Primarily, this analysis is often used as a method in the quantitative tool until the recent decade. Result - Based on ultimate systematic literature analysis, excessive workloads can get addressed by finding proper solutions to the issues of depression, anxiety, irritability, and discouragement. The solutions are (1) Combating Excessive Workloads using Effective Employee Selection, (2) Employee Effective training, and (3) Job redesigning. Conclusion - Selecting or recruiting employees that have skills for the given job also makes it possible for the organization to run its employees effectively and with minimal cases of workload as an organization understands the capabilities and capacities of workload an employee can complete.

• Journal of the Ergonomics Society of Korea
• /
• v.24 no.3
• /
• pp.43-52
• /
• 2005

A two-dimensional posture measurement system was developed to evaluate the risks of work-related musculoskeletal disorders(MSDs) easily on various conditions of work. The posture measurement system is an essential tool to analyze the workload for preventing work-related musculoskeletal disorders. Although several posture measurement systems have been developed for workload assessment, some restrictions in industry still exist because of its difficulty on measuring work postures. In this study, an image recognition algorithm was developed based on a neural network method to measure work posture. Each joint angle of human body was automatically measured from the recognized images through the algorithm, and the measurement system makes it possible to evaluate the risks of work-related musculoskeletal disorders easily on various working conditions. The validation test on upper body postures was carried out to examine the accuracy of the measured joint angle data from the system, and the results showed good measuring performance for each joint angle. The differences between the joint angles measured directly and the angles measured by posture measurement software were not statistically significant. It is expected that the result help to properly estimate physical workload and can be used as a postural analysis system to evaluate the risk of work-related musculoskeletal disorders in industry.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.5
• /
• pp.485-494
• /
• 2021

With increased competition in various industries comes increased organizational pressure to develop. Human resources are the most important assets in an organization because it is a source capable of directing, maintaining, and developing organizations to meet various demands of society and times. This study aims to analyze the effect of workload on turnover intention mediated by work stress and work engagement at four-star hotels in Surabaya Indonesia. In this study, data collection was obtained using questionnaires and saturated sample methods. The sample in this study is all employees at four-star hotels in Surabaya Indonesia, totaling 60 respondents. Partial Least Square approach was used for model analysis. The results showed that workload has a significant effect on turnover intention. Workload also has a significant effect on work stress and work engagement, and work stress and work engagement have a significant effect on turnover intention. The findings of this study suggest that four-star hotels in Surabaya Indonesia need to pay more attention to the tasks that are allocated to employees according to their abilities so that employees do not feel overwhelmed and can complete these tasks optimally, on time, and they need to create a strategy to relieve employee stress during work.

• Journal of Technology Innovation
• /
• v.32 no.2
• /
• pp.59-82
• /
• 2024

This study estimates the impact of smart factories on workload, a direct indicator of labor demand, using information on smart factories from the Korea Labor Institute's Workplace Panel Survey. Overall, we find that the workload of production workers decreases as the level of smartification increases. Our heterogeneity analysis shows that the effect is concentrated among establishments producing the same product repeatedly. In contrast, we find that workload increases for managerial and technical occupations who need to put more effort into implementing more intelligent and connected production, and production workers at establishments pursuing product variety. These results are broadly consistent with the existing literature.

• Proceedings of the Korea Society for Industrial Systems Conference
• /
• 1999.05a
• /
• pp.135-144
• /
• 1999

A major concern in Concurrent Engineering is the control and management of workload in a period of process. As a general rule, leveling the peak of workload in a certain period is difficult because concurrent processing is comprised of various processes, including overlapping, paralleling and looping. Therefore, workload management with resource constraints is so beneficial that effective methods to analyze design process This study presents a procedure to transform the IDEF3 process model into the precedence logic network model for more useful assessment of the process. This approach is expected to facilitate resolving resource constrained scheduling problems more systematically in Concurrent Engineering environment.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.22 no.51
• /
• pp.231-240
• /
• 1999

A major concern in Concurrent Engineering is the control and management of workload in a period of process. As a general rule, leveling the peak of workload in certain period is difficult because concurrent processing is comprised of various processes, including overlapping, paralleling looping and so on. Therefore, the workload management with resource constraints is so beneficial that effective methods to analyze design process are momentous. This study presents the Timed Petri Nets approach of precedence logic networks, and provides an alternative for users to analyze constraint processes to resolve conflicts of resources. Another approach to Continuous Time Markov Chain using Stochastic Petri Nets is also proposed. These approaches are expected to facilitate resolving resource constrained scheduling problems more systematically in Concurrent Engineering environment.

• ETRI Journal
• /
• v.37 no.3
• /
• pp.626-636
• /
• 2015

This paper proposes an adaptive multimodal in-vehicle information system for safe driving. The proposed system filters input information based on both the priority assigned to the information and the given driving situation, to effectively manage input information and intelligently provide information to the driver. It then interacts with the driver using an adaptive multimodal interface by considering both the driving workload and the driver's cognitive reaction to the information it provides. It is shown experimentally that the proposed system can promote driver safety and enhance a driver's understanding of the information it provides by filtering the input information. In addition, the system can reduce a driver's workload by selecting an appropriate modality and corresponding level with which to communicate. An analysis of subjective questionnaires regarding the proposed system reveals that more than 85% of the respondents are satisfied with it. The proposed system is expected to provide prioritized information through an easily understood modality.

• ETRI Journal
• /
• v.44 no.2
• /
• pp.232-243
• /
• 2022

Changes in household composition and the residential environment have had a considerable impact on the features of postal delivery regions in recent years, resulting in a large increase in the overall workload of domestic postal delivery services. In this paper, we provide complex analysis results for postal delivery areas using various unsupervised learning approaches. First, we extract highly influential features using several feature-engineering methods. Then, using quantitative and qualitative cluster analyses, we find the distinctive traits and semantics of postal delivery zones. Unsupervised learning approaches are useful for successfully grouping postal service zones, according to our findings. Furthermore, by comparing a postal delivery region to other areas in the same group, workload balancing was achieved.

• Journal of Korean Society of Transportation
• /
• v.19 no.3
• /
• pp.45-58
• /
• 2001

Subjective mental workload assessment technique becomes a standard human factors and human-machine interface evaluation tool for the evaluation of ITS(Intelligent Transport Systems)-oriented information systems as well as the drivers visual activity analysis, physiological indices(GSR, EEG, ECG, etc.), secondary task performance, reaction time. vehicle control parameters(speed, steering behavior, accelerator control) that are widely applied for transportation and vehicle systems to evaluate the safety, to decide the system or design alternatives, and to establish the design guidelines. This paper reviewed and compared the most globally employed four mental workload assessment techniques that have been designed for the use of various human-machine systems and ITS-oriented in-vehicle information systems. NASA-TLX(National Aeronautics and Space Administration-Task Load Index). SWAT(Subjective Workload Assessment Technique), MCH(Modified Cooper-Harper) scale, and recently developed RNASA-TLX(Revision of NASA-TH) were compared in terms of sensitivity and subjective evaluations to derive the human-machine interface evaluation guidelines for the application of ITS-oriented in-vehicle information systems. Then, experiment results supported that RNASA-TLX is the prospective tool for the mental workload assessment of ITS-oriented in-vehicle information systems.