Title :
The user-resource-task model in intelligent interaction space
Author :
Houyi Yan;Kui Zhu;Yunxiang Ling
Author_Institution :
Science and Technology on Information Systems, Engineering Laboratory, National University of Defense Technology, NUDT, Changsha 410073, China
Abstract :
The essence of intelligent interaction space is that humans employ resources to complete tasks. This paper firstly established the three element models of intelligent space, and put forward two key obstacles to the development of interaction technology, including the cognitive gap between tasks and resources, and the cognitive burden between users and resources. Then task analysis and ability matching method were proposed to solve the cognitive gap, and model inversion method was presented to deal with cognitive burden, whose usability was certified by demonstration experiments.
Keywords :
"Human computer interaction","Computational modeling","Load modeling","Physiology","Solid modeling","Analytical models"
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2015 4th International Conference on
DOI :
10.1109/ICCSNT.2015.7490855