@Article{iasc.2020.010124,
AUTHOR = {Xiaohong Shi, Chao Ma, Yongsheng Rao, Xiangping Chen, Jingzhong Zhang},
TITLE = {Video Preview Generation for Interactive Educational Digital Resources  Based on the GUI Traversal},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {26},
YEAR = {2020},
NUMBER = {5},
PAGES = {917--932},
URL = {http://www.techscience.com/iasc/v26n5/40813},
ISSN = {2326-005X},
ABSTRACT = { The interactive educational digital resources (IEDRs) are more and 
more prevalent in all levels of education. With the proliferation of the Internet, 
more and more IEDRs are being shared online. How to aid users to explore 
helpful resources effectively and efficiently has become a challenge. The static 
preview of resources that current research has mainly focused on is ineffective 
for the IEDRs, because of the unique feature of the IEDRs that the knowledge is 
crucial for the users’ comprehension and is hidden in the process of interaction. 
To unfold the hidden crucial knowledge and ensure a users’ fast acquisition, we 
proposed a novel approach to generate video previews for the IEDRs, which has 
achieved a better visualization of the IEDRs. First, the interactive element set 
and the events set, as well as the dependencies between the interactive elements 
of the resource are collected. Afterwards, by analyzing the dependencies, the 
interaction sequence is generated. Consequently, by automatically executing the 
interaction sequence based on the GUI traversal, the manual interaction is 
simulated, and the process is recorded into a video. The approach was applied 
into a dynamic mathematics educational system, SuperSketchpad, and its 
effectiveness was validated by a user study, in which it was compared with the 
random event method and event permutation method in correctness, 
completeness and redundancy.},
DOI = {10.32604/iasc.2020.010124}
}