The research work presented in this paper is based on the concrete background ofthe Cooperative Graphics Editor (CGE), allowing two or more persons to remotely edit a graphicdocument simultaneously. A new concurrency ...The research work presented in this paper is based on the concrete background ofthe Cooperative Graphics Editor (CGE), allowing two or more persons to remotely edit a graphicdocument simultaneously. A new concurrency control algorithm based on partial order set ispresented, which has fast response and less undo-redo operations as there are no lock mechanisms.It is used to solve inconsistency caused by operation on intersecting graphics concurrently. CGEalso possesses a mask strategy to solve inconsistency caused by operation on the same graphicconcurrently.展开更多
Augmented reality superimposes digital information onto objects in the physical world and enables multi-user collaboration.Despite that previous proxemic interaction research has explored many applications of user-obj...Augmented reality superimposes digital information onto objects in the physical world and enables multi-user collaboration.Despite that previous proxemic interaction research has explored many applications of user-object distance and user-user distance in an augmented reality context,respectively,and combining both types of distance can improve the efficiency of users’perception and interaction with task objects and collaborators by providing userswith insight into spatial relations of user-task object and user-user,less is concerned about howthe two types of distances can be simultaneously adopted to assist collaboration tasks acrossmulti-users.To fulfill the gap,we present UOUU,the user-object distance and user-user distance combined method for dynamically assigning tasks across users.We conducted empirical studies to investigate how the method affected user collaboration tasks in terms of collaboration occurrence and overall task efficiency.The results show that the method significantly improves the speed and accuracy of the collaboration tasks as well as the frequencies of collaboration occurrences.The study also confirms the method’s effects on stimulating collaboration activities,as the UOUU method has effectively reduced the participants’perceived workload and the overall moving distances during the tasks.Implications for generalising the use of the method are discussed.展开更多
文摘The research work presented in this paper is based on the concrete background ofthe Cooperative Graphics Editor (CGE), allowing two or more persons to remotely edit a graphicdocument simultaneously. A new concurrency control algorithm based on partial order set ispresented, which has fast response and less undo-redo operations as there are no lock mechanisms.It is used to solve inconsistency caused by operation on intersecting graphics concurrently. CGEalso possesses a mask strategy to solve inconsistency caused by operation on the same graphicconcurrently.
基金supported by Zhejiang Provincial R&D Programme(Ref No.2021C03128).
文摘Augmented reality superimposes digital information onto objects in the physical world and enables multi-user collaboration.Despite that previous proxemic interaction research has explored many applications of user-object distance and user-user distance in an augmented reality context,respectively,and combining both types of distance can improve the efficiency of users’perception and interaction with task objects and collaborators by providing userswith insight into spatial relations of user-task object and user-user,less is concerned about howthe two types of distances can be simultaneously adopted to assist collaboration tasks acrossmulti-users.To fulfill the gap,we present UOUU,the user-object distance and user-user distance combined method for dynamically assigning tasks across users.We conducted empirical studies to investigate how the method affected user collaboration tasks in terms of collaboration occurrence and overall task efficiency.The results show that the method significantly improves the speed and accuracy of the collaboration tasks as well as the frequencies of collaboration occurrences.The study also confirms the method’s effects on stimulating collaboration activities,as the UOUU method has effectively reduced the participants’perceived workload and the overall moving distances during the tasks.Implications for generalising the use of the method are discussed.
