Open AccessGraphic search model for analyzing search solution of task by specialists
Author(s) -
A. A. Sirotinin,
G. A. Dorrer
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1679/3/032093
Subject(s) - computer science , associative property , gaze , human–computer interaction , information processing , artificial intelligence , information retrieval , data mining , mathematics , neuroscience , pure mathematics , biology
The article describes the concept of creating an assistant system that allows to use patterns of behavior. The information pattern of actions is dynamic and changing each time of selected computing period with the manifestation of multiple signs of similarity of new received information with the existing. The advantage of the method used is an optimization mechanism that uses human capabilities to recognize and extract valuable information from the overall received stream by analyzing only the areas on which the user’s gaze is focused. Thus, the analysis of really important information is carried out, greatly simplifying the work of recognition algorithms. By the nature of the movement and the amount of time the gaze is focused on the object, it is relatively easy to determine whether the information is important for the user, whether the same or similar information has been encountered before, whether it has been read, as well as its characteristics, which are complexity and completeness. The secondary level of information processing is the construction an associative table what’s allowing to obtain a compressed volume of information interacting directly with user of system by associative dependences of consciousness and his reaction to external familiar stimulus.