Abstract
This paper discussed using a bot-based self-report diagnostic tool to identify post-traumatic stress disorder. The authors present information technology for assessing the psychological state of individuals who have experienced traumatic events in a stressful environment. The technology uses the International Trauma Questionnaire (ITQ) and additional questions describing the current psychological environment. The study employed data analysis techniques to identify significant dependencies between respondents’ answers to additional questions about the current environment and their ITQ scores. The bot interface provides a user-friendly platform for respondents to complete the questionnaire. The analytical system, which includes data collection, storage, and processing, allows for flexibility in modifying the questionnaire based on ongoing research.
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Acknowledgements
This research was made possible through the UK-Ukraine R&I twinning grants scheme, funded by Research England with the support of Universities UK International and UK Research and Innovation.
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Liubchenko, V., Komleva, N., Zinovatna, S. (2023). A Bot-Based Self-report Diagnostic Tool to Assess Post-traumatic Stress Disorder. In: Antoniou, G., et al. Information and Communication Technologies in Education, Research, and Industrial Applications. ICTERI 2023. Communications in Computer and Information Science, vol 1980. Springer, Cham. https://doi.org/10.1007/978-3-031-48325-7_14
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DOI: https://doi.org/10.1007/978-3-031-48325-7_14
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