Abstract
The problem of digital trust in human-computer interactions is quite topical because of the high level of concern about the impact of intelligent technologies on the transformation of social and professional activities. Identifying the limits of trust in artificial intelligence and digital agents of network interactions is related to social problems, and the prospect of human substitution by smart robots and systems seems to be the most relevant of them. With the intensive development of smart technologies, the problem of trust in digital intermediaries becomes the most acute. The interdisciplinary nature of this problem determines a systematic methodology for the study of digital trust factors. The authors analyze the level of Russians’ trust in smart AI technologies development, based on statistical data from regular surveys conducted by the Russian Public Opinion Research Center (VCIOM), as well as on a pilot survey of youth groups in a Russian university. In this study, the authors assume that digital trust implies a sufficient level of confidence in people, processes, and technology to build a secure digital world. Indicators of trust in network interactions are examined through attitude towards the digital environment and behavior in it, conditions of the digital environment reliability, and user experience correlated with the digital environment perception. To achieve the goal, the authors consider the impact of specific Internet practices on the formation of digital trust. Five scopes of application of smart technologies with high trust levels are identified within the human-computer interaction.
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Shipunova, O., Berezovskaya, I., Pozdeeva, E., Evseeva, L., Barlybayeva, S. (2022). Digital Trust Indicators in Human-Computer Interaction. In: Rocha, A., Adeli, H., Dzemyda, G., Moreira, F. (eds) Information Systems and Technologies. WorldCIST 2022. Lecture Notes in Networks and Systems, vol 468. Springer, Cham. https://doi.org/10.1007/978-3-031-04826-5_24
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