@inproceedings{26f48b7a04014b0b947e9d40b23282de,
title = "Probabilistic Models of Psychological Aspects in Computer-based Social Interactions",
abstract = "The subject of the paper is the study of how to mathematically represent the phenomenon of the emergence of psychological and social situations in the process of interaction with various virtual objects, with an emphasis on the dangers that may arise in this interaction. These situations are considered in terms of emotions displayed by members of a social network, which, along with people interacting with computer interfaces, can also include avatars or bots.We argue that Markov chains, which are widely used for tasks of analyzing the optimization of social interaction (including such as interaction with humans and reactions of programs that support web navigation, interaction between humans and bots or between bots), do not reflect some aspects for which it is necessary to use such characteristics (concepts) as 'speed' and 'time'. More suitable are CTMC based models. A stochastic automaton network (SAN) is proposed as a high-level tool for representing the psychological interaction models described by CTMC.",
keywords = "Markov chains, Social networks, Stochastic automata networks",
author = "Shlomi Dolev and Sergey Frenkel and Julie Cwikel and Victor Zakharov",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 International Conference Engineering Technologies and Computer Science, EnT 2020 ; Conference date: 24-06-2020 Through 27-06-2020",
year = "2020",
month = jun,
day = "1",
doi = "10.1109/EnT48576.2020.00032",
language = "English",
series = "Proceedings - 2020 International Conference Engineering Technologies and Computer Science, EnT 2020",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "133--139",
editor = "Sergei Prokhorov",
booktitle = "Proceedings - 2020 International Conference Engineering Technologies and Computer Science, EnT 2020",
address = "United States",
}