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The correct placement of needles is decisive for the success of many minimally-invasive interventions and therapies. These needle insertions are usually only guided by radiological imaging and can benefit from additional navigation support. Augmented reality (AR) is a promising tool to conveniently provide needed information and may thus overcome the limitations of existing approaches. To this end, a prototypical AR application was developed to guide the insertion of needles to spinal targets using the mixed reality glasses Microsoft HoloLens. The system's registration accuracy was attempted to measure and three guidance visualisation concepts were evaluated concerning achievable in-plane and out-of-plane needle orientation errors in a comparison study. Results suggested high registration accuracy and showed that the AR prototype is suitable for reducing out-of-plane orientation errors. Limitations, like comparatively high in-plane orientation errors, effects of the viewing position and missing image slices indicate potential for improvement that needs to be addressed before transferring the application to clinical trials.

Objective: through the recognition of how important a procedural approach is to the study of individual learning from errors, in this article, we propose and test a model of orientation to individual learning from one's own error. Methods: by means of a survey questionnaire involving 298 Brazilian workers, we analyzed the data using partial least squares structural equation modeling (PLS-SEM). Results: we contribute to academic knowledge, first, by modeling and empirically identifying the relationships of positive influence between positive error orientation and error detection, and between error correction and individual learning from error; and second, by the identification of the significant practical importance of positive error orientation for error detection. Conclusions: we point out implications for investigations concerned with measuring more accurately the individual positive error orientation phenomenon, as well as those that seek to deepen the understanding of the influence of the organizational context on the direction of individual error orientation. As implications for managerial practice, we highlight positive error orientation as a promoter of learning in individuals, which means that managers should include, in the training programs, learning activities about situations of error in the workplace. Keywords: learning from errors; individual learning from own errors; individual error orientation; positive error orientation JELCode: M19

The representation of visual orientation is more accurate for cardinal orientations compared to oblique, and this anisotropy has been hypothesized to reflect a low-level visual process (visual, “class 1” oblique effect). The reproduction of directional and orientation information also leads to a mean error away from cardinal orientations or directions. This anisotropy has been hypothesized to reflect a high-level cognitive process of space categorization (cognitive, “class 2,” oblique effect). This space categorization process would be more prominent when the visual representation of orientation degrades such as in the case of working memory with increasing cognitive load, leading to increasing magnitude of the “class 2” oblique effect, while the “class 1” oblique effect would remain unchanged. Two experiments were performed in which an array of orientation stimuli (1–4 items) was presented and then subjects had to realign a probe stimulus within the previously presented array. In the first experiment, the delay between stimulus presentation and probe varied, while in the second experiment, the stimulus presentation time varied. The variable error was larger for oblique compared to cardinal orientations in both experiments reproducing the visual “class 1” oblique effect. The mean error also reproduced the tendency away from cardinal and toward the oblique orientations in both experiments (cognitive “class 2” oblique effect). The accuracy or the reproduced orientation degraded (increasing variable error) and the cognitive “class 2” oblique effect increased with increasing memory load (number of items) in both experiments and presentation time in the second experiment. In contrast, the visual “class 1” oblique effect was not significantly modulated by any one of these experimental factors. These results confirmed the theoretical predictions for the two anisotropies in visual orientation reproduction and provided support for models proposing the categorization of orientation in visual working memory.

A robot must have high positioning accuracy and repeatability for precise applications. However, variations in performance are observed due to the effect of uncertainty in design and process parameters. So far, there has been no attempt to optimize the design parameters of manipulator by which performance variations will be minimum. A modification in differential evolution optimization technique is proposed to incorporate the effect of noises in the optimization process and obtain the optimal design of manipulator, which is insensitive to noises. This approach has been illustrated by selecting optimal parameter of 2-DOF RR planar manipulator and 4-DOF SCARA manipulator. The performance of proposed approach has been compared with genetic algorithm with similar modifications. It is observed that the optimal results are obtained with lesser computations in case of differential evolution technique. This approach is a viable alternative for costly prototype testing, where only kinematic and dynamic models of manipulator are dealt with.

Wearable inertial measurement units (IMU) have been proposed to estimate GRF outside of specialized laboratories, however the precise influence of sensor placement error on accuracy is unknown. We investigated the influence of IMU position and orientation placement errors on GRF estimation accuracy. Methods: Kinematic data from twelve healthy subjects based on marker trajectories were used to simulate 1848 combinations of sensor position placement errors (range ± 100 mm) and orientation placement errors (range ± 25°) across eight body segments (trunk, pelvis, left/right thighs, left/right shanks, and left/right feet) during normal walking trials for baseline cases when a single sensor was misplaced and for the extreme cases when all sensors were simultaneously misplaced. Three machine learning algorithms were used to estimate GRF for each placement error condition and compared with the no placement error condition to evaluate performance. Results: Position placement errors for a single misplaced IMU reduced vertical GRF (VGRF), medio-lateral GRF (MLGRF), and anterior-posterior GRF (APGRF) estimation accuracy by up to 1.1%, 2.0%, and 0.9%, respectively and for all eight simultaneously misplaced IMUs by up to 4.9%, 6.0%, and 4.3%, respectively. Orientation placement errors for a single misplaced IMU reduced VGRF, MLGRF, and APGRF estimation accuracy by up to 4.8%, 7.3%, and 1.5%, respectively and for all eight simultaneously misplaced IMUs by up to 20.8%, 23.4%, and 12.3%, respectively. Conclusion: IMU sensor misplacement, particularly orientation placement errors, can significantly reduce GRF estimation accuracy and thus measures should be taken to account for placement errors in implementations of GRF estimation via wearable IMUs.

Nurses’ innovative behavior is essential in the evolving healthcare landscape. This study, guided by the theory of challenge and threat, aims to explore the relationships between nurses’ error orientation, self-efficacy, and innovative behavior through network analysis. A cross-sectional study design was utilized, involving 706 participants from 23 hospitals across six provinces and one municipality directly under the jurisdiction of the central government in China. Participants completed an error orientation questionnaire, the general self-efficacy scale, and the nurse innovative behavior scale online. Data analysis was conducted using SPSS and R, with the network structure, symptom centrality, and outcome robustness evaluated through the qgraph and bootnet packages in R. In the network structure encompassing error orientation, self-efficacy, and innovative behavior, self-efficacy demonstrated the strongest closeness and betweenness centrality, followed by innovative behavior and error orientation. Among these variables, self-efficacy was most closely associated with innovative behavior. Within the dimensions of error orientation, the strongest connection with self-efficacy was found in the aspect of thinking about errors, followed by error communication, error competence, learning from errors, and error risk taking. This network analysis identified self-efficacy as the most influential factor in promoting nurses’ innovative behavior. The findings suggest that clinical educators and hospital managers should focus on enhancing nurses’ self-efficacy to foster their innovative behavior and effectively manage error orientation.

Purpose This paper investigates whether error management orientation (EMO) of hospitality employees influence their service recovery performance (SRP) through self-efficacy. Design/methodology/approach In Study 1, data was collected from 161 hotel managers in the USA. In Study 2, data was collected from 215 restaurant employees in Turkey. Partial least squares (PLS) method using SmartPLS 3.3.3 was used for data analysis. Findings The results indicated that EMO of hospitality employees increases their self-efficacy beliefs which in turn enhance their SRP. The findings were consistent in both studies. Practical implications Hospitality organizations should consider assessing EMO of individuals when making selection decisions. These organizations should also consider providing error management training to employees to develop their EMO, improve error management skills and performance. Originality/value To the best of the author’s knowledge, this is the first study that focuses on EMO of hospitality managers and employees. Error orientation refers to how individuals cope with and how they think about errors at work. Errors are part of our work lives, and a positive orientation toward errors (i.e. EMO) can have a significant impact on individuals’ work attitudes, behaviors and performances. This is the first study that examines EMO as an important predictor of SRP. This study also makes a contribution by studying the mediating effect of self-efficacy to understand the underlying mechanism that links EMO with SRP.

This paper presents a comparative study of two translational parallel manipulators (TPMs) with three Degrees of Freedom (3-DOF) based on the orientation errors due to joint clearances. In fact, the kinematic and static models of the manipulators have been used to determine the analytical model of the orientation errors. Then, the maximum and the sensitivity of the orientation errors have been considered as criteria to compare the precision of the DELTA and the RAF manipulators. The maximum orientation error is determined by solving an optimization problem of the previous analytical model. The sensitivity of the orientation errors is divided into two types: one related to the sensitivity of the orientation errors to the geometric parameters and another one related to the sensitivity of the orientation error to the joint clearances. The results show that the RAF robot precision is more sensitive to the joint clearances than the DELTA one. However, this advantage of the DELTA is limited to a portion of the workspace, which is free from singular configurations.

Making errors represents a stressful event, and the way errors are dealt with are significantly influenced by individuals’ error orientation. Drawing on the stress literature, scholars have identified several dimensions underpinning error orientation construct. Nevertheless, empirical studies have overlooked the construct complexity and do not provide clear theoretical anchors for its operationalization. This study aims to contribute to the error orientation literature by proposing and empirically testing a theoretical framework that integrates stress and attitude theories, on a sample of 443 employees. Specifically, we examined the error orientation facets’ relationships with both two Hofstede’s cultural factors (i.e., power distance and uncertainty avoidance) and work errors (i.e., slips/lapses and mistakes types). Findings from the test of alternative models and from a structural equation model showed the uniqueness of each facet, also in relation to additional study variables, supporting the relevance of adopting this twofold theoretical framework in order to better understand the nature of each facet.

Five-axis machine tool is widely used in freeform surface machining. The freeform surface’s tool path is usually discretized as G01 segments and the freeform surface machined with linear interpolation in five-axis machine. Due to the two additional rotary axes, there are the nonlinear coupling relationship between the workpiece coordinate system (WCS) and machine coordinate system (MCS). Hence, there are many uncertain errors produced by the nonlinear coupling relationship, especially via linear interpolation. In order to represent the motion trajectory accurately and generate G01 tool path appropriately, this paper proposes an irredundant G01 tool path generation method for five-axis machine. Firstly, a new tool tip error (TTE) definition is given to reflect the influence of the rotation axis on the tool tip. And then, a new tool orientation error (TOE) definition is given to mirror the tool orientation error caused by rotary axis’ linear interpolation. Finally, an adaptive iterative method (AIM) is proposed to obtain irredundant G01 tool path. By using this method, the G01 tool path can be generated based on the given error limits and the proposed method is verified both in the simulation and experiment. The results show that the proposed method can significantly reduce the number of G01 segments and limit the actual error.