Workspace Area Research Articles

Research on rescue priority based on high spatiotemporal resolution mobile positioning data

Estimate the key rescue areas of earthquake accurately, which is of great significance for deploying rescue forces and implementing rescue activities in post-earthquake scientifically.This paper based on the idea of first zoning, then classification, and then prioritizing rescue, taking the core area of Tangshan City as the study area, based on urban road data and mobile positioning data, combined with GIS methods to achieve street level rescue zoning, k-means clustering analysis is used to classify rescue sectors, and personnel burial model is used to conduct rescue priority classification.The results indicate that rescue priority is closely related to the time of earthquake occurrence. When the earthquake occurs between 18pm and 7pm in the next day, the number of priority rescue sector at level I and II is the highest. When the earthquake occurs between 8am and 11am on weekends, the number of priority rescue sector in residential areas increases, while the number of priority rescue zone decreases in workspace areas. This study provides refined rescue zoning and priority grading in the early stages of disaster relief with the absence of disaster information, which will help to assist in decision-making for professional force dispatch.

The Impact of Work Desk Shapes on the Utilisation of an Activity-Based-Working Environment

The design of Activity-Based Working (ABW) environments embraces workers’ continuous mobility enabled by technology and the mindset of seeking work zones that best support the task at hand. This paper focuses on aspects of workspace selection within a facility designed to support ABW, focusing on the overall occupancy dynamics, temporal context, and information capturing less-explored details of the physical environment. This study analyses the active use of a workspace in relation to work desk shapes, rectangular and trapezial. Drawing from a longitudinal dataset spanning 12 months from an ABW facility, capturing the active workstation usage of 964 occupants through individual computer logins, this study employs descriptive statistics to analyse the active use of workspace relative to total work hours over the year. Inferential statistical techniques are utilised to compare active use measurements between and within specific workspace areas, revealing significant differences and highlighting the importance of temporal and spatial contexts in workspace utilisation patterns. The presented results demonstrate both tendencies and statistically significant differences, confirming the relevance of the studied variables in examining workspace utilisation. The results show significant usage variations throughout the day across different zones of the observed workspace, with peak activity between 11:00 and 13:00 h for both work desk shapes. This study’s insights are relevant to improving the utilisation of facilities designed for ABW and contribute to a longstanding interest in designing and arranging workplaces to better fit the people who use them.

Enhancing Workplace Efficiency and Security Through Intelligent Employee Surveillance

This project aims to develop an innovative system for accurately tracking employees' working hours based on their presence within designated workspace areas, particularly their work cabins. Leveraging advanced technologies such as image annotation, preprocessing, and augmentation, as well as robust object detection models, this study addresses the need for efficient employee surveillance and time management solutions in contemporary workplaces. The methodology involved detailed annotation and enhancement of image data, enabling precise representation of cabin areas and identification of individual employees within images. Subsequently, a state-of-the-art object detection model, YOLOv8, was utilized to train using this annotated dataset, achieving an impressive accuracy of more than 90% in recognizing and tracking employee presence within the specified cabin regions. Through small incremental changes based on previous insights and optimization, the project achieved high levels of accuracy in inferring employees' working hours based on their occupancy within the designated workspace. By differentiating between time spent inside cabins (considered as working time) and time spent outside these areas (considered as non-working time), the system offers an automated and objective approach to time tracking, eliminating the need for manual input or subjective assessments. Future scopes for this research include exploring the integration of additional sensors or data sources to further enhance the accuracy and granularity of employee activity tracking. Additionally, advancements in machine learning algorithms and hardware may enable real-time processing and analysis of surveillance data, leading to more proactive management of employee productivity and well-being. Moreover, the application of this technology could extend beyond traditional office settings to various industries, such as manufacturing, retail, and healthcare, where precise monitoring of employee activities is crucial for optimizing operations and ensuring compliance with regulations. This research underscores the potential of advanced computer vision techniques, particularly YOLOv8, in revolutionizing employee surveillance and time management practices. By providing real-time monitoring capabilities and ensuring compliance with work regulations, this approach holds promise for enhancing workplace productivity, transparency, and accountability.

Control Algorithms for a Bidirectional Wireless Power Transmission System at the Redistribution of Energy Resources in a Group of Ground Robots

Redistributing energy resources within a group of ground robots allows for an increase in the reachable workspace area and expands its functional capabilities. The use of wireless energy transfer systems for exchanging energy resources between ground robots reduces the requirements for positioning accuracy and enhances the reliability of the robotic system. This study examines control and management algorithms for a bidirectional wireless energy transfer system when operating as part of a ground robot. A structural diagram of the bidirectional wireless energy transfer module is proposed for integration into the robot’s control system, built on distributed principles. The developed algorithms take into account the specific features of the circuitry solutions of the bidirectional wireless energy transfer system, implemented using an uncontrolled resonant generator. The proposed solutions are tested on a robotics platform. The experiments focus on the process of replenishing the energy resources of one robot with another robot. Energy is transmitted between robots equipped with the same Li-ion battery, which has a nominal voltage of 7.4 V and a capacity of 5 A•h. The battery is charged from 50 % to 90 % capacity with different positioning accuracies of the robots. When there is a displacement of 4 mm and a distance of 4 mm between the receiving and transmitting coils, the charging time was 48 minutes, which is 5 % longer than the wired charging method. The maximum charging time reached 57 minutes with a distance of 15 mm between the robots. The use of bidirectional wireless power transfer for energy exchange between ground robots or for charging robots at a charging station enhances the autonomy of the group’s operation, as energy transfer can be successfully achieved even with low positioning accuracy. The proposed solutions can be used for battery charging and resource redistribution processes in groups of ground and underwater robots.

Concurrent Implicit Adaptation to Multiple Opposite Perturbations.

Simultaneous adaptation to opposite visuomotor perturbations is known to be difficult. It has been shown to be possible only in situations where the two tasks are associated with different contexts, being either a different colored background, a different area of workspace, or a different follow-through movement. However, many of these elements evoke explicit mechanisms that could contribute to storing separate (modular) memories. It remains to be shown whether simultaneous adaptation to multiple perturbations is possible when they are introduced in a fully implicit manner. Here, we sought to test this possibility using a visuomotor perturbation small enough to eliminate explicit awareness. Participants (N = 25) performed center-out reaching movements with a joystick to five targets located 72° apart. Depending on the target, visual feedback of cursor position was either veridical (one target) or could be rotated by +5 or -5° (two targets each). After 300 trials of adaptation (60 to each target), results revealed that participants were able to fully compensate for each of the imposed rotations. Moreover, when veridical visual feedback was restored, participants exhibited after-effects that were consistent with the rotations applied at each target. Questionnaires collected immediately after the experiment confirmed that none of the participants were aware of the perturbations. These results speak for the existence of implicit processes that can smoothly handle small and opposite visual perturbations when these are associated with distinct target locations.

A redundantly actuated 2-DOF 3RRR PKM with flexure joints: less is more

The development of a planar manipulator with flexure joints and redundant actuation has been considered before, showing that the redundancy can be exploited to increase the support stiffness and to reduce static actuator loads. In this previous design the manipulator’s workspace has been defined to encompass all kinematically accessible end effector positions. In the current paper we reconsider the design philosophy. It will be shown that limiting the workspace (“less”) ultimately results in a better performance in a larger area (“more”).The dynamic performance of the manipulator is evaluated with a flexible multibody model. The links can safely be considered as rigid parts, but the model has to account for the nonlinear stiffness behaviour of the flexure joints undergoing relatively large deflections. The nonlinear spatial flexible beam elements implemented in the spacar software result in numerically efficient models that have proven to be well-suited for design optimisation. With such a flexible multibody model, the geometry of the manipulator is optimised to maximise the workspace area while assuring a minimal parasitic natural frequency and limiting the local stresses throughout the full workspace. Furthermore, the simulations show that preloading of the flexure joints results in reduced actuator torques that are needed to counteract the finite joint compliance for stationary positioning anywhere except for the equilibrium position of the end effector.The optimised design has been build and validated experimentally. A control system that handles the actuator redundancy by minimising the 2-norm of the driving torques has been synthesised. It is demonstrated that the setup’s behaviour is similar to the model and that in particular the preloading significantly lowers the required actuator torques.

Non-Probabilistic Reliability Analysis of Robot Accuracy under Uncertain Joint Clearance

The development of industrial robots in high-precision fields is currently constrained by the reliability of motion. Considering the influence of the joint clearance on the motion reliability of the industrial robot, the kinematic model of the industrial robot is established, the kinematic equation of the robot is deduced, and positive kinematic solutions are performed. The non-probability positioning accuracy reliability measure of a robot end-effector is proposed, based on the non-probability theory and method, combined with the prescribed permission interval and error interval, and different states of reliability can be judged according to the position relationship, the non-probability reliability properties are outlined, and the positioning accuracy reliability assessment model is established. Combined with the joint clearance modeling theory, the simulation of the robot end-effector under the influence of six joint clearances is carried out, and the displacement error interval of the end-effector under the preset motion path is analyzed for the industrial robot motion reliability problem. The motion path is split by time, and the end effector moves to different workspace areas in different time periods. The motion reliability of each segment is analyzed, and it is concluded that the reliability of the end-effector under the influence of uncertain joint clearance parameters changes in different working regions. Based on the above, the research direction of space division and partition parameter calibration is proposed, which lays a foundation for the study of partition non-probabilistic calibration of robot workspace.

Hybrid Eye-in-Hand/Eye-to-Hand Image Based Visual Servoing for Soft Continuum Arms

Soft continuum arms (SCAs) that are controlled by visual servoing (VS) present trade-offs between the camera range and tracking accuracy. Cameras placed at a distance (eye-to-hand) can observe a larger workspace area and the SCA tip, while a camera at the end effector (eye-in-hand) can more accurately survey the target. In this letter, we present a hybrid eye-to-hand and eye-in-hand VS scheme to track a desired object in the SCA's worksapce. When the target is not in the field-of-view of the tip camera, hand-to-eye VS is implemented using a wide field-of-view camera on the soft robot's base, to servo the soft robot's tip to a feasible region where the target is expected to be seen by the tip camera. This region is estimated by solving an optimization problem that finds the best region to place the SCA assuming a constant curvature model for the SCA. When the target is seen by the tip camera, the system switches to a hand-in-eye controller that keeps the target in the desired image position of the tip camera. Experimental results on the popular <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$BR^{2}$</tex-math></inline-formula> SCA demonstrates the effectiveness of the hybrid VS scheme under practical settings that include external disturbances.

Investigating workspace and positional accuracy in 3 Degrees of Freedom planar manipulator under the link tolerances

Parallel manipulators are playing a significant role in robotic applications for the last few decades due to their merits over the serial manipulators. In this paper, kinematic analysis for the 3-RPR planar parallel manipulator having three degrees of freedom through a simple geometric approach is presented. The aim of the study presented here consist of two parts: improving the reachable workspace and investigating the positional error at platform due to link tolerance. The reachable workspace is estimated at various magnification ratios of manipulator at different position and orientation of tool point. The geometric approach is applied to calculate the workspace. The validation of kinematic results is carried out through the Computer-Aided Drafting (CAD) model. The positional error at platform and deviation in workspace due to tolerance on the link length are studied. The link tolerance results due to manufacturing and assembly constraints. The positional error for variation in link tolerance is presented. The proposed method is capable of quantification of maximum reachable workspace as well as worst error for the given tolerance value. The manipulator with highest possible accuracy over largest workspace area can be obtained applying proposed method as an optimized design.

Virtual Project Management (VPM) in Project Execution

This research study will focus mainly on the LNG sector. The objective is to determine, investigate, and seek the operability opportunity in a virtual environment’s project management, engineering, and construction. The researcher will tackle the importance and issues it addresses the virtual project management (VPM) platform demands without compromising the quality and safety of services during the execution of the project. This virtual platform simulated the model using conventional project management stated in PMBOKS. The researcher will randomly pick the possible solution and improve the existing project management consultancy (PMC) operation and processes, initially to virtualize the system to meet the technical personnel demand, lapses, and labor vacuum within the available time. The goal is to achieve this conversion, minimize face-to-face interaction, promote work at home, reduce operational costs, minimize technical human resource risk, and facilitate working space area capacity. This study divides virtual project management (VPM) into operational possibility, effectivity, and capability (OPEC). Operational Possibility and Effectivity are the primary concern in this research, and it discusses the elemental process attributes such as [1] Leadership Style, [2] Design Planning, [3] Functional Management, and [4] Performance Evaluation. However, conventional project management is the basis of this study’s viewpoint and is translated into virtual. Moreover, this study still shows the operational capability and discusses it in the logical analysis as part of the OPEC overall model. The gathered data, discussion, and analysis in two (2) groups, the possibility and effectivity of this virtual platform, and the respondent’s opinion, the virtual team from domestically is preferred by the experts in the field over offshoring or overseas. Moreover, the operational effectiveness with the two (2) highest attributes, as per the expert’s opinion, the VPM should focus on the virtual team’s Performance Evaluation [1st] and the Project manager’s (PM) Leadership Style [2nd]. The virtual team’s Performance Evaluation concentrates mainly on efficiency and completion of assigned product deliverables. PM’s Leadership Style focuses primarily on communication and personality. However, the other attributes of Functional Management [3rd] and Design Planning [4th] can be applied to the overall project execution concept. In this research, the highest recommended source of a virtual team (vT) and VPM operation effectiveness are preferred accordingly. However, the PM has fully responsible for this VPM operational effectiveness and outsourcing virtual teams in particular projects. In this regard, further verification is required for this research focuses on the implementation and application with collaborative software is needed.

Utilizing augmented reality technology for teaching fundamentals of the human brain and EEG electrode placement

Abstract This paper demonstrates the use of augmented reality (AR) to teach the fundamental aspects of the human brain and guide proper EEG electrode placement. The proposed application consists of two main parts: (1) the proposed marker-based AR system uses the Vuforia technique to determine the dimension of the head to create the virtual brain and virtual EEG electrodes; and (2) user interaction and implementation. We performed two experiments using a phantom head to verify the size and workspace area of the marker and validated the position of the virtual electrode with ground truth data. The results showed that the proposed method can be employed for electrode placement guidance in the recommended range. We aim to use the proposed system for beginners. We will further test the system with human heads to evaluate the usability and determine key areas for application improvement.

AIR QUALITY AND NOISE STUDY IN SETTLEMENTS AND METAL SCRAP MELTING FACTORY

Air is an important component for the survival of living things, especially humans. However, air quality has decreased due to pollution. The harmful elements that enter the atmosphere are Carbon Monoxide (CO), Nitrogen Dioxide (NO2), Sulfur Dioxide (SO2), Particulates (PM10), and Ozone (O3). Noise is defined as unwanted sound or sound so that it disturbs and endangers health. Sources of noise are divided into moving and stationary noise sources. The method used in this research is grab sampling by installing an air sampler impinger to capture particles or pollutants as well as taking noise data using a simple method with a Sound Level Meter with a reading every 5 seconds within 10 minutes for one measurement. The results showed that the air quality in residential and workspace areas was still within quality standards. The noise level in residential areas is still acceptable, but the noise level in the production room surpasses the acceptable limit.

FEASIBILITY STUDY OF WOOD WORKSHOP SPACES CONTRUCTION AND PROPERTY BUSINESS EXPERTISE STUDY AT STATE VOCATIONAL SCHOOL 1 PALANGKA RAYA

The purpose of this study was to determine the feasibility of the wood workshop space, wood workshop lighting system, and woodworking furniture and equipment at SMK N 1 Palangka Raya based on the standards required by Permendiknas No. 40 of 2008 and SNI 03-6575-2001. This is done to provide convenience and feasibility for users. The results of this study are (1) the wood workspace area of SMK N 1 Palangka Raya does not meet the standard with an area of 198 m² which is smaller than the standard of 256 m² with an achievement percentage of 77.34%, the area of the equipment storage room and the wood workshop instructor room has meet the standard with an area of 72 m² larger than the standard of 48 m² with an achievement percentage of 150%, the overall area of the wood workshop does not meet the standard with an area of 270 m² smaller than the standard of 304 m² with an achievement percentage of 88.8%. (2) The level of lighting in the wood workshop room at SMK N 1 Palangka Raya has not met the standard, namely min 500 lux with a lighting level of 400 lux in the morning with an achievement percentage of 80%, during the day 411 lux with an achievement percentage of 82%, in the afternoon day of 408 lux with an achievement percentage of 81%. (3) Equipment and furniture for the wood workshop room at SMK N 1 Palangka Raya, single station equipment does not meet the standard with the number of equipment that meets the standard is 1 type of tool and 20 types of tools that meet the standard with a size of achievement of 4.76%, equipment double station there are 3 types of tools that meet the standards and 9 types of tools that do not meet the standards with a size of 16.66% standard achievement, workshop furniture there are 3 types of furniture that do not meet the standards and 4 types of furniture that meet the standards with a large standard achievement are 42.85%.

Manipulator trajectory planning based on work subspace division

AbstractThe manipulator workspace is an essential element in the field of manipulator research and is of great significance for manipulator motion planning. However, little research has been conducted on dividing the manipulator workspace into working subspaces. No precise division method has been proposed; the inverse kinematics of multiple solutions in manipulator trajectory planning may also cause abrupt joint changes, thus affecting the planned trajectory. The article proposes a working subspace division method for all ball‐wrist 6DOF(degree‐of‐freedom) manipulators that satisfy the Piper criterion to address the above problems. The kinematic model of the manipulator is established, and the Jacobi matrix of the manipulator is obtained. The space of joints of the manipulator is divided into unique domains containing only single inverse kinematic solutions by means of singular trajectory lines when the determinant of the Jacobi matrix is zero; The solution from the joint space to the workspace is achieved by a nonlinear mapping, which completes the partitioning of the work subspace, and each work subspace contains only unique inverse kinematic solutions. When trajectory planning is carried out from the independent area of a single workspace to the overlapping area of multiple workspaces, selecting the inverse kinematic solution in a single working subspace can effectively avoid abrupt changes in the joints of the manipulator and trajectory misalignment caused by numerous inverse solution selection problems and make the planned trajectory smooth and consistent with the operational requirements of each scene.

Path Outlining of a KUKA LBR Iiwa 14 R820 using Hybrid Optimization

In this paper, the inverse kinematics of more advanced degree of freedom robot is computed with the support of MATLAB. This paper deals with the study of control modeling of the KUKA robot. The path planning of robot end effector has been a research area for years. In this paper the new hybrid optimization techniques are used to solve the forward and inverse kinematics solution of KUKA LBR iiwa 14 R820. For Forward Kinematics SHO (selfish herd optimization), KHO (krill herd optimization)hybrid optimization technique is used and for Inverse Kinematics, hybrid ALO (ant lion optimization), ACO (ant colony optimization) technique is used. This proposed work also incorporates the itinerary of the robot in a workspace area with multiple obstacles by using a Hybrid GWO (Grey wolf optimization), GOA (grasshopper optimization). The optimized route discovered by applying the hybrid optimizer is energy efficient. Graphic User Interface is used to strut the optimized path into 3-Dimensional form. Forged consequences are administered to exemplify the effeteness and virtue of the propounding method. While using the different optimizing techniques the optimized path is found, with obstacle and without obstacle with less execution time and in less number of iterations. The Graphic user Interface is used to represent the different paths. In this work, the multi-objective functions such as collision free motion, jerk, travelling time and acceleration are considered for the planning of trajectory of the robot manipulator. The fitness function is reducing the multi-objective function.

Sintesis Dimensi Manipulator Paralel Bidang Dua Derajat Kebebasan Dengan Rantai Kinematik Paralelogram Simetris

The paper discussed the process to find the optimum dimension for the kinematic constants of a two-degree of freedom planar parallel manipulator. This manipulator itself was constructed by symmetric three parallelogram chains. An optimization process using non-sorted dominated genetic algorithm II (NSGA-II) was carried out for maximization of ( i ) r MIC (the radius of the maximum inscribed circle) and GCI (global conditioning index), and (ii) r MIC and GTI (global transmission index). Here, GCI and GTI were evaluated on the useful workspace. Instead of using atlases of performance indices, a grid search evaluation was applied to obtain a region in PDS near the optimum values for both maximization cases. This region gave a small bound for NSGA-II to start searching the optimum values of the kinematic constants. For simplification, a python framework for the multi-objective optimization called pymoo was applied to solve the optimization problem. Henceforth, the maximization for two cases yielded an insignificant difference of results in terms of optimum kinematic constants, r MIC , GCI, GTI, area of useful workspace, area of good condition workspace (GCW), area of good transmission workspace (GTW), and the area ratio of GCW and GTW to the useful workspace.

Feasibility and tolerance of a robotic postural training to improve standing in a person with ambulatory spinal cord injury.

An ambulatory elder with SCI, AIS C, balance deficits, and right ankle-foot-orthosis participated. RobUST-intervention comprised six 90 min-sessions of postural tasks with pelvic assistance and trunk perturbations. We collected three baselines and two 1 week post-training assessments-after the first four sessions (PT1) and after the last two sessions (PT2). We measured Berg Balance Scale (BBS), four-stage balance test (4SBT)-including a 30 s-window with and without vision-standing workspace area, and reactive balance (measured as body weight%). Kinematics, center-of-pressure (COP), and electromyography (EMG) were analyzed to compute root-mean-square-COP (RMS-COP), the margin of stability (MoS), ankle range of motion, and integrated EMG (iEMG) normalized to baseline. The Borg Rating of Perceived Exertion (BRPE), and change in the Mean Arterial Pressure (MAP) and heart rate (HR) compared with baseline were collected to address training tolerance. A 2SD-bandwidth method was selected for data interpretation. The maximum BBS was achieved (1-point improvement). In the 4SBT, the participant completed 30 s (baseline = 20 s) with reduced balance variability during semi-tandem position without vision (RMS-COP baseline = 50.32 ± 2 SD = 19.64 mm; PT1 = 21.29 mm; PT2 = 19.34 mm). A trend toward increase was found in workspace area (baseline = 996 ± 359 cm2; PT1 = 1539 cm2; PT2 = 1138 cm2). The participant tolerated higher perturbation intensities (baseline mean = 25%body weight, PT2 mean = 44% body weight), and on average improved his MoS (3 cm), ankle range of motion (4°), and gluteus medius activity (iEMG = 10). RobuST-intervention was moderate-sort of hard (BRPE = 3-4). A substantial reduction in MAP (9%) and HR (30%) were observed. In conclusion, RobUST-intervention might be effective in ambulatory SCI.

The Lattice-Boltzmann Modeling of Microflows in a Cell Culture Microdevice for High-Throughput Drug Screening

The aim of our research was to develop a numerical model of microflows occurring in the culture chambers (CC) of a microfluidic device of our construction for high-throughput drug screening. The incompressible fluid flow model is based on the lattice-Boltzmann equation, with an external body force term approximated by the He-Shan-Doolen scheme and the Bhatnagar-Gross-Krook approximation of the collision operator. The model accuracy was validated by the algebraic solution of the Navier–Stokes equation (NSE) for a fully developed duct flow, as well as experimentally. The mean velocity prediction error for the middle-length cross-section of CC was 1.0%, comparing to the NSE algebraic solution. The mean error of volumetric flow rate prediction was 6.1%, comparing to the experimental results. The analysis of flow hydrodynamics showed that the discrepancies from the plug-flow-like velocity profile are observed close to the inlets only, and do not influence cell cultures in the working area of CC. Within its workspace area, the biochip provides stable and homogeneous fully developed laminar flow conditions, which make the procedures of gradient generation, cell seeding, and cell-staining repeatable and uniform across CC, and weakly dependent on perturbations.

The "self-treatment of wounds for venous leg ulcers checklist" (STOW-V Checklist V1.0): Part 1-Development, pilot and refinement of the checklist.

Patients who have chronic wounds such as leg ulcers should be active participants in their treatment and care. This participation may include self‐treatment of the wound which involves the patient cleaning the wound, applying and removing wound dressings, and/or applying and removing compression therapy. The aim of the study was to develop a Checklist to assist nurses to appraise the conduct of wound treatment when undertaken by the patient. A three‐phase mixed methods study was conducted. A systematic and evidence‐based approach to developing and using structured observations for the study of health behaviour guided the process of developing, piloting and refining the Checklist. The resulting “Self‐Treatment of Wounds for Venous Leg Ulcers Checklist” (STOW‐V Checklist V1.0) can assist the nurse to evaluate the conduct of key self‐treatment behaviours in the areas of equipment and workspace, hand hygiene, wound dressing removal, skin care, wound cleansing and debridement, wound assessment, wound dressing application, and compression therapy application. The growing recognition that patients can benefit when involved in care, the need to enact self‐management because of COVID‐19, and the ever present competition for healthcare funding and resources are compelling reasons for patients, care providers, and healthcare services to afford the self‐management approach, and associated interventions such as self‐treatment, greater consideration. It is recommended that the STOW‐V Checklist is used with patients in a shared‐care model, with nurses and other healthcare professionals providing supervision and oversight of self‐treatment practices whenever this is feasible and acceptable to the patient.

The Correlation Between Spatial Configuration and User Satisfaction: A Case Study of an Activity-based vs a Conventional Office

Very few studies have discussed the quantitative correlation between office space configuration and user satisfaction. This research aims to provide more concrete results comparing the spatial configuration of Activity Based Office (ABO) and Conventional Offices (CO) to its users' satisfaction. Data collection is taken with sixty respondents who are ABO and CO. User satisfaction will be measured by the comfort aspect. Satisfaction assessment includes the comfort of social interaction distance and the uniformity of the workspace between colleagues, distance to office facilities, distance to the resting place, and distance to the office's informal socialize area. Metric measurements on physical distances and workspace areas between colleagues are compared to the user's subjective comfort. Objective data measurement using the calculation of metric line, and the workspace area differences, while subjective data collection of users using questionnaires. The statistical analysis that will be used is the cross-tabulation method. Cross tabulation will give an overview of the comparison between comfort level to the objective distance and workspace area differences. The study results show that the physical distance comfort of an activity point will vary according to the needs of its user preference. Comparison of spatial to the activity-based and conventional offices will also influence the perception of the uniformity of the user's workspace, and the behavior of users in the elections performs several activities within the office.