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Indicators of Choosing Internet User’s Responsible Behavior

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Proceedings of Sixth International Congress on Information and Communication Technology

Abstract

The study of Internet user behavior variability is in line with the interdisciplinary analysis of human–computer interactions. The multiple factor process of adapting an individual to the technological conditions of digital culture is associated with the behavior motivation in new conditions and the self-regulation of the subject. The authors aim to analyze the correlation of internal attitudes characterizing the emotional motive of young people’s conversion to Internet use, and psychometric data indicating an inclination for a certain type of responsible behavior. The research methodology is based on the psychological activity theory and the attribution theory, in which the basics of psychometric analysis of the responsibility typology are developed. The cognitive-behavioral model of the motivational structure of the Internet user determines the authors’ original position. The empirical study was conducted in the psychological testing form based on surveys of students and graduate students studying at universities in St. Petersburg (Russia). Certain techniques were applied to identify dominant attitudes in Internet use and indicators of inclination for a psycho-complex of responsible behavior. The analysis of the psychometric data pairing was based on the calculation of Pearson’s correlation ratio using the SPSS Statistics 17.0 software product. The conclusion emphasizes that the resulting psychometric data, characterizing the cognitive-behavioral structure of the Internet user motivation, allow revealing the average probability level of pair functional connection between the dominant motivations in Internet user behavior self-regulation.

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Correspondence to Olga Shipunova .

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Shipunova, O., Berezovskaya, I., Kedich, S., Popova, N. (2022). Indicators of Choosing Internet User’s Responsible Behavior. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 236. Springer, Singapore. https://doi.org/10.1007/978-981-16-2380-6_85

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