DocumentCode
1783032
Title
Human-computer interaction extended resource model based on distributed cognition
Author
Pin Lv ; Menglu Xu ; Shangzhou Li
Author_Institution
Sci. & Technol. on Integrated Inf. Syst. Lab., Inst. of Software, Beijing, China
fYear
2014
fDate
28-29 Sept. 2014
Firstpage
1
Lastpage
5
Abstract
Traditional resource model based on distributed cognition mainly includes two major parts, which are resource information structure and resource information interaction. To improve this models capability in resource description and practical application, the description of resource in this model is to be classified by two categories, which are the forward resource information structure and backward resource information structure from the view with the extending of resource information structure in this model, and the relationship between the two structures is emphasized to make the resource model be more universal. Moreover, the resource information interaction is changed from single cycle to double cycles from the view with the extending of resource information interaction strategy in this model, and the fusion effect of the information resource during the interaction process also places emphasis on making the resource model be more flexible. The new extended resource model can reduce the overload of users cognition and improve the efficiency of human-computer interaction (HCI).
Keywords
cognition; human computer interaction; sensor fusion; HCI efficiency improvement; backward resource information structure; distributed cognition; forward resource information structure; human-computer interaction extended resource model; information fusion; interaction process; resource description; resource information interaction; resource information structure; user cognition overload; Cognition; Computational modeling; Computers; Context; Human computer interaction; Information services; Presses; distributed cognition; human computer interaction; information strategy; information structure; resource model;
fLanguage
English
Publisher
ieee
Conference_Titel
Multisensor Fusion and Information Integration for Intelligent Systems (MFI), 2014 International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-6731-5
Type
conf
DOI
10.1109/MFI.2014.6997654
Filename
6997654
Link To Document