The contribution of tangible and intangible feedback is compared for virtual tactile car Human-Machine Interfaces(HMI)design,to measure their performance both in static conditions and while driving.A subjectively cali...The contribution of tangible and intangible feedback is compared for virtual tactile car Human-Machine Interfaces(HMI)design,to measure their performance both in static conditions and while driving.A subjectively calibrated transparent glass provides tangible passive haptics,and visual cues are used to study sensory substitution based intangible interactions.The results show that the performance of the subjects was significantly improved in driving conditions as they interacted faster,more accurately and with a higher satisfaction.In addition,our findings highlight that the contribution of tangible systems is significantly lower in driving conditions,raising new questions about the nature of haptic modalities in the function of the context of use.This study provides additional knowledge about the influence of dynamic environments and external tasks on haptic perception.展开更多
Ergonomic reliability plays a significant role in the safe operation of devices.With the spread of infectious diseases around the world,in work environments with high loads and high infection rates,medical staff work ...Ergonomic reliability plays a significant role in the safe operation of devices.With the spread of infectious diseases around the world,in work environments with high loads and high infection rates,medical staff work in a state of high self-protection.The use of visual display terminal(VDT)for medical equipment has undergone fundamental changes,and the traditional medical equipment human-machine interface design needs to be improved.After the completion of design and development,a VDT design enters the experimental testing stage,which has significant limitations for simulating the work of medical staff in the high-load and high-infection environments.The testing cost is high,and subjects face harsh conditions;thus,an ergonomic reliability model that can predict the use of VDT in such special high-infection and high-load circumstances must be established.An ergonomic reliability model based on an improved backpropagation neural network(BPNN)and human cognition reliability(HCR)is proposed for predicting and evaluating operation flows according tomedical equipment VDTs.Firstly,a small data sample can be used to train BPNN to generate a network that can ensure suitable accuracy.To prevent the model from falling into local optimal solutions,the bat algorithm is introduced to improve the BPNN.Compared to a traditional BPNN,the superiority of the improved BPNN is clearly demonstrated.Secondly,the HCR method is used to analyze and highlight changes in the human factor reliability of VDTs for medical equipment in different time processes and operating processes according to BPNN prediction results,to provide a reference for selecting the optimalmethod.Finally,the validity and availability of the proposedmethod are verified through an eye tracker experiment and statistical analysis results.展开更多
文摘The contribution of tangible and intangible feedback is compared for virtual tactile car Human-Machine Interfaces(HMI)design,to measure their performance both in static conditions and while driving.A subjectively calibrated transparent glass provides tangible passive haptics,and visual cues are used to study sensory substitution based intangible interactions.The results show that the performance of the subjects was significantly improved in driving conditions as they interacted faster,more accurately and with a higher satisfaction.In addition,our findings highlight that the contribution of tangible systems is significantly lower in driving conditions,raising new questions about the nature of haptic modalities in the function of the context of use.This study provides additional knowledge about the influence of dynamic environments and external tasks on haptic perception.
基金supported by National Natural Science Foundation of China (No.51905116)Basic and Applied Basic Research Foundation of Guangdong Province (Item No.2020A1515111141)+3 种基金The 13th Five-Year Plan Youth Project of Philosophy and Social Science of Guangdong Province (GD20YYS03)Science and Technology Program of Guangzhou (No.201904010463)Youth Innovative Talent Projects from Ordinary University of Guangdong Province (2019WQNCX099)Innovation Training Program for College Students in Guangdong Province (S202111078058).
文摘Ergonomic reliability plays a significant role in the safe operation of devices.With the spread of infectious diseases around the world,in work environments with high loads and high infection rates,medical staff work in a state of high self-protection.The use of visual display terminal(VDT)for medical equipment has undergone fundamental changes,and the traditional medical equipment human-machine interface design needs to be improved.After the completion of design and development,a VDT design enters the experimental testing stage,which has significant limitations for simulating the work of medical staff in the high-load and high-infection environments.The testing cost is high,and subjects face harsh conditions;thus,an ergonomic reliability model that can predict the use of VDT in such special high-infection and high-load circumstances must be established.An ergonomic reliability model based on an improved backpropagation neural network(BPNN)and human cognition reliability(HCR)is proposed for predicting and evaluating operation flows according tomedical equipment VDTs.Firstly,a small data sample can be used to train BPNN to generate a network that can ensure suitable accuracy.To prevent the model from falling into local optimal solutions,the bat algorithm is introduced to improve the BPNN.Compared to a traditional BPNN,the superiority of the improved BPNN is clearly demonstrated.Secondly,the HCR method is used to analyze and highlight changes in the human factor reliability of VDTs for medical equipment in different time processes and operating processes according to BPNN prediction results,to provide a reference for selecting the optimalmethod.Finally,the validity and availability of the proposedmethod are verified through an eye tracker experiment and statistical analysis results.
