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Liu M.,Tsinghua University | Zhang Y.,National Key Laboratory of Human Factors Engineering | Zhang Y.,China Astronaut Research and Training Center | Zhu C.,National University of Defense Technology | Li Z.,Tsinghua University
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2016

Team teleoperation, which is commonly seen in dangerous and inaccessible environments, is challenging by the complexity and dynamics of the environment, especially when there is time delay. This study was focused on Two-Operator-Two-Robot teleoperation and discussed the influence of time delay on team performance. In this study, we collected operational performance data, eye movement data and subjective rating to compare the performance of an object moving task with 0 s and 3.73 s time delay. Preliminary results of the experiment indicate that the increase of time delay significantly increase completion time and decrease fraction of time moving (MRATIO). In addition, time delay significantly increase the variance of the number of collisions and joint limit reach, which suggest that the inter-individual difference become greater under time delay. © Springer International Publishing Switzerland 2016. Source


Li P.,State Key Laboratory of Space Medicine Fundamentals and Application | Li P.,China Astronaut Research and Training Center | Wu B.,State Key Laboratory of Space Medicine Fundamentals and Application | Wu B.,China Astronaut Research and Training Center | And 5 more authors.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2013

This research aims to study how HRV parameters change with task complexity during manual controlled Rendezvous and Docking (RVD). One one-factor experiment was conducted. The experiment task was manual controlled Rendezvous and Docking (RVD) operation and the factor was task complexity which was divided into three levels. Eight male volunteers participated in this experiment, which consisted of three trials, and each of which consisted of ten operation units containing three complexity levels. The dependent variables were main performance parameters and HRV parameters. Results showed that operation time and fuel consumption changed significantly with different complexity levels. Besides, there were significant differences on partial HRV parameters. It can be inferred that some HRV parameters are useful for mental workload evaluation. However, the relationship between the insignificant parameters and complexity levels needs to be validated and the way how HRV should be used for mental workload evaluation deserves further study. © 2013 Springer-Verlag. Source


Hu W.,Xian Jiaotong University | Hu W.,China Astronaut Research and Training Center | Hu W.,National Key Laboratory of Human Factors Engineering | Deng Y.-B.,China Astronaut Research and Training Center | And 4 more authors.
Applied Mechanics and Materials | Year: 2013

To resolve a lasting suitable cabin environment for the astronauts, this paper proposes an effective framework design for automatic fault diagnosis system. This framework can implement a real-time online diagnosis and decision support for fault, and carry out an early diagnosis for weak fault. Finally, this paper achieves an online automatic fault diagnosis system by using neural network's self-learning characteristics and expert knowledge. In two-men-two-days simulated manned space flight test, the software of diagnosis system framework worked well, which has been assessed and verified comprehensively. © (2013) Trans Tech Publications, Switzerland. Source


Yijing Z.,China Astronaut Research and Training Center | Yijing Z.,National Key Laboratory of Human Factors Engineering | Xiaoping D.,China Astronaut Research and Training Center | Fang L.,China Astronaut Research and Training Center | And 2 more authors.
BioMed Research International | Year: 2015

The present study aimed to investigate the effects of guided imagery training on heart rate variability in individuals while performing spaceflight emergency tasks. Materials and Methods. Twenty-one student subjects were recruited for the experiment and randomly divided into two groups: imagery group (n = 11) and control group (n = 10). The imagery group received instructor-guided imagery (session 1) and self-guided imagery training (session 2) consecutively, while the control group only received conventional training. Electrocardiograms of the subjects were recorded during their performance of nine spaceflight emergency tasks after imagery training. Results. In both of the sessions, the root mean square of successive differences (RMSSD), the standard deviation of all normal NN (SDNN), the proportion of NN50 divided by the total number of NNs (PNN50), the very low frequency (VLF), the low frequency (LF), the high frequency (HF), and the total power (TP) in the imagery group were significantly higher than those in the control group. Moreover, LF/HF of the subjects after instructor-guided imagery training was lower than that after self-guided imagery training. Conclusions. Guided imagery was an effective regulator for HRV indices and could be a potential stress countermeasure in performing spaceflight tasks. © 2015 Zhang Yijing et al. Source


Du X.,China Astronaut Research and Training Center | Zhang Y.,China Astronaut Research and Training Center | Zhang Y.,National Key Laboratory of Human Factors Engineering | Wu B.,China Astronaut Research and Training Center | And 5 more authors.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2015

The present study investigated the effect of automation on the mental workload of novice operators in manual rendezvous and docking (RVD). One within-subject experiment was designed and fifteen participants participated in the experiment. All participants were required to finish six RVD tasks of two automation levels: manual RVD and the automation-aided manual RVD. Workload of the participant during RVD tasks were assessed with subjective and physiological indicators. Subjective workload was measured by NASA Task Load Index (NASA-TLX). Physiological workload indicators included mean heart rate, the root mean square of successive differences (RMSSD), the low frequency (LFNU, 0.04 to 0.15 Hz) and high frequency (HFNU, 0.15 to 0.4 Hz) power spectrum component of heart rate variability (HRV, both in normalization form), the LF/HF ratio, and the total power (TP). The results showed that subjective workload rating were significantly lower in the automation- aided RVD as compared to that of manual RVD task. However cardiovascular measures showed different pattern. Mean heart rates, RMSSD and TP of participants did not change significantly with the change of automation level, LFNU was significantly higher, and HFNU was significantly lower in automation-aided RVD task as compared to that in manual RVD task. The results showed that despite a perceived workload reduction in automation-aided RVD, the objective measures of HRV reflected a workload increment. A possible reason is that novice operators were not familiar with automated system, thus it was difficult for them to understand and anticipate the intention and action of automation. The results inferred that application of automation to such complex and dynamic tasks for novice operators should be cautious; novice participants need more training to build deeper understanding of automation system. © Springer International Publishing Switzerland 2015. Source

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