Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Expanding the concept of preventive medicine through the using explaining machine learning models in remote clinic-patient interaction. / Чижик, Анна Владимировна; Егоров, Мичил Прокопьевич; Видясова, Л.А.
Proceedings of the 16th International Conference on Theory and Practice of Electronic Governance: ICEGOV '23. Association for Computing Machinery, 2023. p. 454-456.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
}
TY - GEN
T1 - Expanding the concept of preventive medicine through the using explaining machine learning models in remote clinic-patient interaction
AU - Чижик, Анна Владимировна
AU - Егоров, Мичил Прокопьевич
AU - Видясова, Л.А.
PY - 2023
Y1 - 2023
N2 - This paper introduces the study of motivation models for the use of conversational agents in the daily practices of individuals in the case of patient-clinic interactions. We present the data of the conducted surveys and describe the model of motivation created on their basis. The implementation of a chatbot that embodies the theoretical principles developed during the study is described. The paper also provides quality metrics for the proposed practical solutions.
AB - This paper introduces the study of motivation models for the use of conversational agents in the daily practices of individuals in the case of patient-clinic interactions. We present the data of the conducted surveys and describe the model of motivation created on their basis. The implementation of a chatbot that embodies the theoretical principles developed during the study is described. The paper also provides quality metrics for the proposed practical solutions.
U2 - 10.1145/3614321.3614393
DO - 10.1145/3614321.3614393
M3 - Conference contribution
SP - 454
EP - 456
BT - Proceedings of the 16th International Conference on Theory and Practice of Electronic Governance
PB - Association for Computing Machinery
Y2 - 26 September 2023 through 29 September 2023
ER -
ID: 116024461