Research on evacuation simulation and modeling is an important and urgent issue for emergency management.This paper presents an evacuation model based on cellular automata and social force to simulate the evacuation d...Research on evacuation simulation and modeling is an important and urgent issue for emergency management.This paper presents an evacuation model based on cellular automata and social force to simulate the evacuation dynamics.Attractive force of target position,repulsive forces of individuals and obstacles,as well as congestion are considered in order to simulate the interaction among evacuees and the changing environment.A visual-guidance-based artificial bee colony algorithm is proposed to optimize the evacuation process.Each evacuee moves toward exits with the guidance of leading bee in his/her visual field.And leading bee is selected according to comprehensive factors including distance from the current individual,the number of obstacles and congestion,which avoids the randomness of roulette mechanism used by basic artificial bee colony algorithm.The experimental results indicate that the proposed model and algorithm can achieve effective performances for indoor evacuation problems with a large number of evacuees and obstacles,which accords with the actual evacuation situation.展开更多
Dome display is expected to be used as effective visualization environment for modeling and simulation due to the features of frameless and high immersive sensation.However,since the users in the dome display can see ...Dome display is expected to be used as effective visualization environment for modeling and simulation due to the features of frameless and high immersive sensation.However,since the users in the dome display can see the projected image in arbitrary direction freely,it is difficult to share information among the viewers.In this research,in order to solve such a problem,the effect of visual attention guidance in the dome environment due to the effect of camera work was examined.As a visualization system,DomePlayer that can express the effect of camera work based on the camera work description language was developed.From the result of evaluation experiments using this system,the constraint condition of the camera work in the dome environment was derived and the effect of visual attention guidance by the camera work was evaluated.展开更多
The visual perception of augmented reality(AR)geovisualization is significantly different from traditional controllable 2D and 3D visualization.In this study,we extended the rendering styles of color variables to incl...The visual perception of augmented reality(AR)geovisualization is significantly different from traditional controllable 2D and 3D visualization.In this study,we extended the rendering styles of color variables to include natural material color(NMC)and illuminating material color(IMC)and extended the size to include linear size(LS)and angular size(AS).Outdoor AR geovisualization user experiments were conducted,examining the guidance characteristics of five static variables(NMC,IMC,shape,AS,LS)and two dynamic variables(vibration,flicker).The results showed that the two dynamic variables provided the highest guidance,and among all the static variables,the order of guidance was shape,IMC,AS,NMC,and finally LS.This is a new finding that is different from the color,size,and shape guidance order in 2D visualization and the color,shape,and size order in 3D visualization.The results could be utilized to guide the selection of visual variables for symbol design in AR geovisualization.展开更多
360°videos enable viewers to watch freely from different directions but inevitably prevent them from perceiving all the helpful information.To mitigate this problem,picture-in-picture(PIP)guidance was proposed us...360°videos enable viewers to watch freely from different directions but inevitably prevent them from perceiving all the helpful information.To mitigate this problem,picture-in-picture(PIP)guidance was proposed using preview windows to show regions of interest(ROIs)outside the current view range.We identify several drawbacks of this representation and propose a new method for 360° film watching called AdaPIP.AdaPIP enhances traditional PIP by adaptively arranging preview windows with changeable view ranges and sizes.In addition,AdaPIP incorporates the advantage of arrow-based guidance by presenting circular windows with arrows attached to them to help users locate the corresponding ROIs more efficiently.We also adapted AdaPIP and Outside-In to HMD-based immersive virtual reality environments to demonstrate the usability of PIP-guided approaches beyond 2D screens.Comprehensive user experiments on 2D screens,as well as in VR environments,indicate that AdaPIP is superior to alternative methods in terms of visual experiences while maintaining a comparable degree of immersion.展开更多
基金This work was supported by the National Natural Science Foundation of China(No.61772180)the Key R&D Plan of Hubei Province(No.2020BHB004 and No.2020BAB012)the Natural Science Foundation of Hubei Province(No.2020CFB798)。
文摘Research on evacuation simulation and modeling is an important and urgent issue for emergency management.This paper presents an evacuation model based on cellular automata and social force to simulate the evacuation dynamics.Attractive force of target position,repulsive forces of individuals and obstacles,as well as congestion are considered in order to simulate the interaction among evacuees and the changing environment.A visual-guidance-based artificial bee colony algorithm is proposed to optimize the evacuation process.Each evacuee moves toward exits with the guidance of leading bee in his/her visual field.And leading bee is selected according to comprehensive factors including distance from the current individual,the number of obstacles and congestion,which avoids the randomness of roulette mechanism used by basic artificial bee colony algorithm.The experimental results indicate that the proposed model and algorithm can achieve effective performances for indoor evacuation problems with a large number of evacuees and obstacles,which accords with the actual evacuation situation.
基金Grant No.25540171 Grant-in-Aid for Scientific Research.
文摘Dome display is expected to be used as effective visualization environment for modeling and simulation due to the features of frameless and high immersive sensation.However,since the users in the dome display can see the projected image in arbitrary direction freely,it is difficult to share information among the viewers.In this research,in order to solve such a problem,the effect of visual attention guidance in the dome environment due to the effect of camera work was examined.As a visualization system,DomePlayer that can express the effect of camera work based on the camera work description language was developed.From the result of evaluation experiments using this system,the constraint condition of the camera work in the dome environment was derived and the effect of visual attention guidance by the camera work was evaluated.
基金supported and funded by the Pilot Fund of Frontier Science and Disruptive Technology of Aerospace Information Research Institute,Chinese Academy of Sciences[Grant number E0Z211010F].
文摘The visual perception of augmented reality(AR)geovisualization is significantly different from traditional controllable 2D and 3D visualization.In this study,we extended the rendering styles of color variables to include natural material color(NMC)and illuminating material color(IMC)and extended the size to include linear size(LS)and angular size(AS).Outdoor AR geovisualization user experiments were conducted,examining the guidance characteristics of five static variables(NMC,IMC,shape,AS,LS)and two dynamic variables(vibration,flicker).The results showed that the two dynamic variables provided the highest guidance,and among all the static variables,the order of guidance was shape,IMC,AS,NMC,and finally LS.This is a new finding that is different from the color,size,and shape guidance order in 2D visualization and the color,shape,and size order in 3D visualization.The results could be utilized to guide the selection of visual variables for symbol design in AR geovisualization.
基金supported by the National Natural Science Foundation of China(Project Number 62132012)the Beijing Science and Technology Program(Project Number Z221100007722001)the Tsinghua-Tencent Joint Laboratory for Internet Innovation Technology.
文摘360°videos enable viewers to watch freely from different directions but inevitably prevent them from perceiving all the helpful information.To mitigate this problem,picture-in-picture(PIP)guidance was proposed using preview windows to show regions of interest(ROIs)outside the current view range.We identify several drawbacks of this representation and propose a new method for 360° film watching called AdaPIP.AdaPIP enhances traditional PIP by adaptively arranging preview windows with changeable view ranges and sizes.In addition,AdaPIP incorporates the advantage of arrow-based guidance by presenting circular windows with arrows attached to them to help users locate the corresponding ROIs more efficiently.We also adapted AdaPIP and Outside-In to HMD-based immersive virtual reality environments to demonstrate the usability of PIP-guided approaches beyond 2D screens.Comprehensive user experiments on 2D screens,as well as in VR environments,indicate that AdaPIP is superior to alternative methods in terms of visual experiences while maintaining a comparable degree of immersion.
