HCI Subjects’ Role Identification Method Based on Their Multifactor Portraits of Perception Subjectivization for HCI Object
Keywords:
human-computer interaction, interaction object perception subjectivization, impact factors, multifactor portrait, subject role identificationAbstract
This research is devoted to the problem of developing a specialized novel method for identifying the role of HCI subjects based on their multifactor portraits of perception subjectivization of the object of this interaction, which provides the possibility of increasing the level of HCI automation and intellectualization by additional evaluation of the factor of perception subjectivization of the interaction object by the subjects of this interaction. The proposed method is based on the developed polycomponent model, which can contain any (and necessary) number of impact factors as its components, and also is represented in two variations, namely strongly structured (when the placement order of dominant impact factors has significant and fundamental importance, and must be met), or weakly structured (when the placement order of dominant impact factors is not required and obligatory). Another fundamental component of the proposed method is a specialized algorithm developed for identifying the role of HCI subjects based on their multifactor portrait, which provides the possibility of algorithmization of the researched processes, as well as the opportunity for further software implementation and computer modeling of the developed method. As a practical approbation of the developed method, the relevant applied task of identifying a potential candidate(s) from among all available into the highly specialized support team of the given software product based on their compliance with the declared role pattern, has been solved. The obtained results confirm the effectiveness of the developed method, as well as its perspective in the context of further research in the field of automation and intellectualization of HCI and its components.
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