Objective:To evaluate the training efficacy of the autonomic nervous system stability assessing and enhancing capsule (hereinafter referred to as the EC), and to study the difference in physiological indicators for autonomic nervous system stability training between the EC and a non-capsule environment.Methods:A total of 1 478 male military pilots under autonomic nervous system stability training between February 2022 and February 2024 were selected before they completed training sessions in both the EC and a non-capsule environment. The pre-training time-domain and frequency-domain indices of heart rate variability (HRV) and the 0.1 Hz index were compared with the post-training ones, and across difficulty levels (low, moderate, and high). The difference that the EC made in relaxation training was analyzed.Results:①Time-domain indices of HRV were of statistical significance in the main effects of training difficulty, those of training environments, and their interactions ( F=4.40-160.80, all P<0.05 or 0.01). Simple effect analysis revealed that in the same phase of training the standard deviation of all NN intervals (SDNN) at the low level of difficulty in the EC was lower than in the non-capsule environment. However, all time-domain indices after training were higher in the EC than in the non-capsule environment. The differences were statistically significant (all P<0.05 or 0.01).②For frequency-domain HRV indices, significant differences were observed in both the main effect of training difficulty and the interactions ( F=4.40-1 524.33, all P<0.01). Very low frequency power (VLF), high frequency (HF), the ratio of low frequency to high frequency (LF/HF), normalized low frequency (LFnorm), and normalized high frequency (HFnorm) were significantly different in the main effect of training environments ( F=4.24, 12.00, 6.91, 23.39, 23.39, P=0.040, <0.001, =0.009, <0.001, <0.001). Simple effect analysis revealed that at the same level of training difficulty, the EC delivered significantly lower values of LF and LFnorm but higher values of HF and HFnorm than the non-capsule environment before training (all P<0.05). VLF across levels of training difficulty and LF/HF at the high level of difficulty level were significantly lower in the EC than in the non-capsule environment. After training, total power, VLF, LF, HF, and HFnorm were significantly higher in the EC than in the non-capsule environment, but LF/HF and LFnorm were significantly lower (all P<0.05). ③For the 0.1 Hz index, significant differences were observed in both the main effect of training difficulty and the interactions ( F=2 147.75, 6.63, both P<0.001). Subsequent simple effect analysis revealed that at the same level of training difficulty, 0.1 Hz indices of pilots in the EC were lower than in the non-capsule environment before and after training (all P<0.01). Conclusions:During the autonomic nervous system stability training, the EC can effectively and quickly regulate and alleviate pilots′ fatigue and stress. Furthermore, it provides sustained autonomic nervous system training, thereby stabilizing pilots′ autonomic nervous system.

Objective:To verify the applicability of the flight potential evaluation system in the psychological selection of pilots by testing the reliability and validity of the system.Methods:Between September and October 2021, 82 subjects, including 32 pilots and 50 volunteers, were recruited from the Aviation Force and the Air Force Medical Center to complete the flight potential evaluation system test. The pilots and volunteers were divided into the high score group (the top 27% in terms of scores) and low score group (the 27% from the bottom) according to the total score of the evaluation. In order to ensure the consistency of evaluation conditions, some subjects were selected to complete a second evaluation test one week later for reliability analysis. Six flight experts completed the Content Evaluation Form of the Flight Potential Evaluation System while the officer completed the Flight Performance Evaluation Questionnaire as the performance data of the pilots. The pass rates of the pilots and volunteers and discriminability of the flight potential evaluation system were analyzed to test the stability and effectiveness of the system.Results:①The flight potential evaluation system demonstrated a pass rate of 0.75 and a discriminability of 0.30 in pilots, compared with 0.30 and 0.51 in volunteers. The total scores of pilots and volunteers were (7.00±1.16) points and (3.38±2.15) points, respectively, with a statistically significant difference ( t=9.87, P<0.001). Significant differences were found in test scores between high-score group and low-score group for both pilots ( t=10.01, P<0.001) and volunteers ( Z=-4.65, P<0.001). ②Thirty-seven subjects (including 32 pilots and 5 volunteers, all from the Aviation Force) were tested twice, and the Pearson product-moment correlation coefficient for the paired results of 2 identical tests was r=0.750 ( P<0.001). ③As for the content of the evaluation system test, the experts′ degree of agreement and unanimity rate were 1. The evaluation score by the officer was positively correlated with the test score ( r=0.389, P=0.041). Conclusions:The flight potential evaluation system has a strong ability to distinguish flight-related abilities, suggesting that the system can be applied to the psychological selection of pilots and provide data for subsequent tests during the recruitment of candidates.

Objective:To evaluate the training efficacy of the autonomic nervous system stability assessing and enhancing capsule (hereinafter referred to as the EC), and to study the difference in physiological indicators for autonomic nervous system stability training between the EC and a non-capsule environment.Methods:A total of 1 478 male military pilots under autonomic nervous system stability training between February 2022 and February 2024 were selected before they completed training sessions in both the EC and a non-capsule environment. The pre-training time-domain and frequency-domain indices of heart rate variability (HRV) and the 0.1 Hz index were compared with the post-training ones, and across difficulty levels (low, moderate, and high). The difference that the EC made in relaxation training was analyzed.Results:①Time-domain indices of HRV were of statistical significance in the main effects of training difficulty, those of training environments, and their interactions ( F=4.40-160.80, all P<0.05 or 0.01). Simple effect analysis revealed that in the same phase of training the standard deviation of all NN intervals (SDNN) at the low level of difficulty in the EC was lower than in the non-capsule environment. However, all time-domain indices after training were higher in the EC than in the non-capsule environment. The differences were statistically significant (all P<0.05 or 0.01).②For frequency-domain HRV indices, significant differences were observed in both the main effect of training difficulty and the interactions ( F=4.40-1 524.33, all P<0.01). Very low frequency power (VLF), high frequency (HF), the ratio of low frequency to high frequency (LF/HF), normalized low frequency (LFnorm), and normalized high frequency (HFnorm) were significantly different in the main effect of training environments ( F=4.24, 12.00, 6.91, 23.39, 23.39, P=0.040, <0.001, =0.009, <0.001, <0.001). Simple effect analysis revealed that at the same level of training difficulty, the EC delivered significantly lower values of LF and LFnorm but higher values of HF and HFnorm than the non-capsule environment before training (all P<0.05). VLF across levels of training difficulty and LF/HF at the high level of difficulty level were significantly lower in the EC than in the non-capsule environment. After training, total power, VLF, LF, HF, and HFnorm were significantly higher in the EC than in the non-capsule environment, but LF/HF and LFnorm were significantly lower (all P<0.05). ③For the 0.1 Hz index, significant differences were observed in both the main effect of training difficulty and the interactions ( F=2 147.75, 6.63, both P<0.001). Subsequent simple effect analysis revealed that at the same level of training difficulty, 0.1 Hz indices of pilots in the EC were lower than in the non-capsule environment before and after training (all P<0.01). Conclusions:During the autonomic nervous system stability training, the EC can effectively and quickly regulate and alleviate pilots′ fatigue and stress. Furthermore, it provides sustained autonomic nervous system training, thereby stabilizing pilots′ autonomic nervous system.

Objective:To verify the applicability of the flight potential evaluation system in the psychological selection of pilots by testing the reliability and validity of the system.Methods:Between September and October 2021, 82 subjects, including 32 pilots and 50 volunteers, were recruited from the Aviation Force and the Air Force Medical Center to complete the flight potential evaluation system test. The pilots and volunteers were divided into the high score group (the top 27% in terms of scores) and low score group (the 27% from the bottom) according to the total score of the evaluation. In order to ensure the consistency of evaluation conditions, some subjects were selected to complete a second evaluation test one week later for reliability analysis. Six flight experts completed the Content Evaluation Form of the Flight Potential Evaluation System while the officer completed the Flight Performance Evaluation Questionnaire as the performance data of the pilots. The pass rates of the pilots and volunteers and discriminability of the flight potential evaluation system were analyzed to test the stability and effectiveness of the system.Results:①The flight potential evaluation system demonstrated a pass rate of 0.75 and a discriminability of 0.30 in pilots, compared with 0.30 and 0.51 in volunteers. The total scores of pilots and volunteers were (7.00±1.16) points and (3.38±2.15) points, respectively, with a statistically significant difference ( t=9.87, P<0.001). Significant differences were found in test scores between high-score group and low-score group for both pilots ( t=10.01, P<0.001) and volunteers ( Z=-4.65, P<0.001). ②Thirty-seven subjects (including 32 pilots and 5 volunteers, all from the Aviation Force) were tested twice, and the Pearson product-moment correlation coefficient for the paired results of 2 identical tests was r=0.750 ( P<0.001). ③As for the content of the evaluation system test, the experts′ degree of agreement and unanimity rate were 1. The evaluation score by the officer was positively correlated with the test score ( r=0.389, P=0.041). Conclusions:The flight potential evaluation system has a strong ability to distinguish flight-related abilities, suggesting that the system can be applied to the psychological selection of pilots and provide data for subsequent tests during the recruitment of candidates.

Objective To compare the interaction efficiency of three human-machine interaction modes with hand-touch control,eye movement control and voice control,based on a multi-channel human-machine interaction system in flight mission scenarios.Methods 20 pilots took part in the study and completed the first level(relatively simple)and second level(relatively complex)interactive experimental tasks in three human-computer interaction modes based on specific flight mission scenarios.The interaction efficiency indicators included the system's interaction time,response time,fusion calculation time,and number of errors.After the experiment was completed,the pilots conducted a subjective evaluation,which included the suitability of the interaction mode to the task,consistency with expected usage,fault-tolerance,effective feedback,and the tendency of the interaction mode to be applied in future flight fields.Results There were generally significant differences in interaction efficiency between hand-touch control,voice control,and eye movement control in flight mission scenarios,but the differences differed in first-level and second-level interaction tasks.Based on the comprehensive interaction experimental tasks at all levels,the experimental results obtained included:(1)the interaction time of hand-touch control was the shortest,the interaction time of voice control was the longest,and the main effect of the interaction mode was significant(F=18.214,P<0.001,η2=0.565);(2)The response time of hand-touch control was the shortest,while the response time of eye movement control was the longest.The main effect of interaction mode was significant(F=153.085,P<0.001,η2=0.944);(3)The fusion calculation time for hand-touch control was the shortest,while the fusion calculation time for voice control was the longest.The main effect of the interaction mode was significant(F=41.702,P<0.001,η2=0.777);(4)The errors in voice control were the least,while those in eye movement control were the most.The main effect of interaction mode was significant(χ2=22.845,P<0.001,φ=1.097);(5)The subjective evaluation scores of pilots on voice control were higher than those on eye movement control,and all had statistical significance(P<0.001,P<0.01).Conclusions This study focuses on flight interaction tasks and compares the interaction efficiency of three interaction modes of hand-touch control,voice control,and eye movement control,through a combination of experiments and subjective evaluations.The differences in various interaction efficiency indicators among different interaction modes are found,and the interaction modes have a significant impact on interaction efficiency.Hand-touch control has a significant advantage in interaction time efficiency,voice control has an advantage in accuracy for simple tasks,while eye movement control has relatively weak time efficiency and accuracy;Compared to eye movement control,pilots exhibit higher evaluations and tendencies towards voice control.The research results can provide reference for the future design,evaluation,and application of multi-modal interaction systems.

Objective:To observe the attention processing characteristics of the pilots experiencing black hole illusion, and to provide quantitative data references for flight simulation training guided by eye movement fixation based on the eye movement mode of the pilots with high flight performance score.Methods:The pilots who underwent the transformation training were selected by cluster sampling. Their original flight performance scores were converted into percentile grades. The top 10 and bottom 10 pilots were assigned as high and low score groups. Their eye movement data were recorded when they were completing the night approach and landing task on the flight illusion simulator. The correlation between eye movement data and flight performance in the simulation task were analyzed, and the eye movement patterns of pilots with different flight performance were compared.Results:Thirty-six valid subjects were selected. A total of 12 eye movement indexes were correlated with flight performance ( r=0.334-0.398, all P<0.05). Three eye movement indexes, including peak velocity of exit saccade from attitude indicator of head-up display (HUD), the percentage of total duration of fixations on airspeed indicator of HUD to the total task duration and average duration of whole fixations on attitude indicator could establish a linear regression model with flight performance ( R2=0.422, F=7.77, P<0.001). The percentage of total duration of whole fixations on airspeed indicator of HUD to the total task duration in high score group [(4.38±3.48)%] was higher than that in low score group [(1.72±1.32)%], and the difference was statistically significant ( t=2.25, P=0.045). And the average peak velocity of exit saccade from attitude indicator of HUD in high score group [(358.85±171.40)°/s] was higher than that in low score group [(221.14±92.60)°/s], and the difference was statistically significant ( t=2.24, P=0.038). Conclusions:Eye movement index in the night approach and landing task can be used as an evaluation index of attention ability of pilots in black hole illusion simulation and experience task.

Objective:To observe the attention processing characteristics of the pilots experiencing black hole illusion, and to provide quantitative data references for flight simulation training guided by eye movement fixation based on the eye movement mode of the pilots with high flight performance score.Methods:The pilots who underwent the transformation training were selected by cluster sampling. Their original flight performance scores were converted into percentile grades. The top 10 and bottom 10 pilots were assigned as high and low score groups. Their eye movement data were recorded when they were completing the night approach and landing task on the flight illusion simulator. The correlation between eye movement data and flight performance in the simulation task were analyzed, and the eye movement patterns of pilots with different flight performance were compared.Results:Thirty-six valid subjects were selected. A total of 12 eye movement indexes were correlated with flight performance ( r=0.334-0.398, all P<0.05). Three eye movement indexes, including peak velocity of exit saccade from attitude indicator of head-up display (HUD), the percentage of total duration of fixations on airspeed indicator of HUD to the total task duration and average duration of whole fixations on attitude indicator could establish a linear regression model with flight performance ( R2=0.422, F=7.77, P<0.001). The percentage of total duration of whole fixations on airspeed indicator of HUD to the total task duration in high score group [(4.38±3.48)%] was higher than that in low score group [(1.72±1.32)%], and the difference was statistically significant ( t=2.25, P=0.045). And the average peak velocity of exit saccade from attitude indicator of HUD in high score group [(358.85±171.40)°/s] was higher than that in low score group [(221.14±92.60)°/s], and the difference was statistically significant ( t=2.24, P=0.038). Conclusions:Eye movement index in the night approach and landing task can be used as an evaluation index of attention ability of pilots in black hole illusion simulation and experience task.

Objective:To evaluate the reliability and validity of the Chinese version of the Orebro musculoskeletal pain questionnaire (OMPQ-CHN) using patients with non-specific lower back pain.Methods:The OMPQ was translated into simplified Chinese according to the Beaton cross-cultural translation guidelines, and then 186 patients with acute or subacute lower back pain were asked to respond to its questions. Based on the results, the internal consistency and test-retest reliability were quantified, and its validity was assessed using content, criterion-related and predictive validity.Results:The Cronbach′s α for the instrument was 0.804. Its ICC was 0.833 (95% CI: 0.683-0.915). I-CVI ranged from 0.86 to 1, S-CVI/Ave=0.99. The correlation between the OMPQ-CHN and other questionnaires ranged from r=0.419 to r=0.646. The AUCs predicting pain, dysfunction and sick leave ranged from 0.723 to 0.810. Conclusions:The OMPQ-CHN has good reliability and validity, and suitably assesses the psychosocial risk factors of Chinese patients with low back pain.