HARTLEY AND LKLB-PROCESS MEASURES: USE IN PSYCHOLOGICAL AND EDUCATIONAL TESTING
Abstract
The problems of social analytics and decision-making on the management of complex information and economic structures are increasingly determined by human factors. The difficulty in regulating and recognizing information is determined by the unpredictability of the effects of new technologies on the psychophysical characteristics of man as an element of society. Therefore, of particular relevance is study of existing approaches and development of new approaches to testing and drawing up a psychological profile for socio-technical systems. The authors described the use of the Hartley information measure and the LKLB process in psychological and educational testing. The diagram of socio-technical system concept model and a description of its main elements are presented. One type of socio-technical systems are man-machine systems. Authors put forward the hypothesis that every socio-technical system has a psychological profile associated with the cognitive abilities and psychological compatibility of participants in the system. This profile influences the decision-making process of the subject in the human-machine system. The algorithm for conducting an experimental investigation of the hypothesis on the human-machine system example was developed. The authors presented and explained the graphical results of the experiment for four man-machine systems. The study confirmed that every socio-technical system in solving the problem of decision-making has its psychological and educational profile. The psychological compatibility of the moderator and the slave (tested, for example, the learner) affected this profile, in addition, there is a "non-commutativity" of the results of the slave and the leader. In practice, you can use the psychological and educational profile in forecasting the results of decision-making in the socio-technical system, in the identification of the infringer of information security, in developing a model and interpreting the behavior of the human subject-machine system.
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