Видання зареєстровані авторами шляхом самоархівування
Permanent URI for this communityhttps://devessuir.sumdu.edu.ua/handle/123456789/1
Browse
2 results
Search Results
Item Perception of Artificial Intelligence: GSR Analysis and Face Detection(Institute for International Cooperation Development, 2024) Люльов, Олексій Валентинович; Liulov, Oleksii Valentynovych; Пімоненко, Тетяна Володимирівна; Pimonenko, Tetiana Volodymyrivna; Infante-Moro, A.; Квілінський, Олексій Станіславович; Kwilinski, AleksyThis study explored the perception of artificial intelligence (AI) through GSR analysis and facial expression detection across eight different video stimuli. The results indicate that one video elicited the highest cognitive engagement, while another showed significant engagement through both the frequency and intensity of responses. Certain videos displayed a lower frequency but higher intensity of responses. The Shapiro‒Wilk and Levene’s tests validated the use of ANOVA, confirming the normality and homogeneity of variances. Despite variations in mean GSR peaks per minute, ANOVA revealed no significant differences in physiological responses among the different interaction types. Gender analysis revealed similar high physiological responses to AI stimuli for both males and females, with most stimuli eliciting statistically significant GSR peaks per minute. The Affectiva AFFDEX SDK classifier analysed emotional responses, revealing that joy was predominantly higher in one video, while another elicited the most sadness. Anger and fear were nearly non-existent, and contempt varied, with one video showing the highest response. Disgust and surprise responses were generally low. These findings highlight the importance of emotional content in engaging viewers and the utility of GSR and facial expression analysis in understanding AI's impact on user perception. This research provides insights into cognitive and emotional engagement with AI-related stimuli, emphasizing the need for tailored content to enhance user interaction. The study's implications extend to marketing, education, and healthcare, where optimizing user engagement with AI can lead to improved outcomes and satisfaction.Item Forecasting the Effect of Migrants’ Remittances on Household Expenditure: COVID-19 Impact(MDPI, 2022) Zhang, L.; Chen, Y.; Люльов, Олексій Валентинович; Люлев, Алексей Валентинович; Liulov, Oleksii Valentynovych; Пімоненко, Тетяна Володимирівна; Пимоненко, Татьяна Владимировна; Pimonenko, Tetiana VolodymyrivnaThe unexpected pandemic has provoked changes in all economic sectors worldwide. COVID-19 has had a direct and indirect effect on countries’ development. Thus, the pandemic limits the movements of labour forces among countries, restricting migrants’ remittances. In addition, it provokes the reorientation of consumer behaviour and changes in household expenditure. For developing countries, migrant remittances are one of the core drivers for improving household wellbeing. Therefore, the paper aims to analyse how the COVID-19 pandemic has affected household expenditure in Ukraine, as being representative of a developing country. For this purpose, the data series were compiled for 2010 to the second quarter of 2021. The data sources were as follows: Ministry of Finance of Ukraine, The World Bank, and the State Statistics Service of Ukraine. The core variables were as follows: migrants’ remittances and expenditure of households by the types. The following methods were applied to achieve the paper’s aims: the Dickey–Fuller Test Unit Root and the ARIMA model. The findings confirmed that COVID-19 has changed the structure of household expenditure in Ukraine. Considering the forecast of household expenditure until 2026, it was shown that due to changes in migrants’ remittances, household expenditure in all categories tends to increase. The forecasted findings concluded that household expenditure on transport had the most significant growth due to changing migrants’ remittances.