Perception of Artificial Intelligence: GSR Analysis and Face Detection DOI Creative Commons
Oleksii Lyulyov, Tetyana Pimonenko, Alfonso Infante Moro

и другие.

Virtual Economics, Год журнала: 2024, Номер 7(2), С. 7 - 30

Опубликована: Июнь 23, 2024

This 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 elicited highest cognitive engagement, while another showed significant engagement both frequency intensity responses. Certain videos displayed a lower but higher Shapiro‒Wilk Levene’s tests validated use ANOVA, confirming normality homogeneity variances. Despite variations in mean peaks per minute, ANOVA revealed no differences physiological responses among interaction types. Gender similar high to AI stimuli for males females, with most eliciting statistically minute. Affectiva AFFDEX SDK classifier analysed emotional responses, revealing joy was predominantly video, sadness. Anger fear were nearly non-existent, contempt varied, showing response. Disgust surprise generally low. These findings highlight importance content engaging viewers utility understanding AI's impact on user perception. research provides insights into AI-related stimuli, emphasizing need tailored enhance interaction. study's implications extend marketing, education, healthcare, where optimizing can lead improved outcomes satisfaction.

Язык: Английский

Perception of Artificial Intelligence: GSR Analysis and Face Detection DOI Creative Commons
Oleksii Lyulyov, Tetyana Pimonenko, Alfonso Infante Moro

и другие.

Virtual Economics, Год журнала: 2024, Номер 7(2), С. 7 - 30

Опубликована: Июнь 23, 2024

This 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 elicited highest cognitive engagement, while another showed significant engagement both frequency intensity responses. Certain videos displayed a lower but higher Shapiro‒Wilk Levene’s tests validated use ANOVA, confirming normality homogeneity variances. Despite variations in mean peaks per minute, ANOVA revealed no differences physiological responses among interaction types. Gender similar high to AI stimuli for males females, with most eliciting statistically minute. Affectiva AFFDEX SDK classifier analysed emotional responses, revealing joy was predominantly video, sadness. Anger fear were nearly non-existent, contempt varied, showing response. Disgust surprise generally low. These findings highlight importance content engaging viewers utility understanding AI's impact on user perception. research provides insights into AI-related stimuli, emphasizing need tailored enhance interaction. study's implications extend marketing, education, healthcare, where optimizing can lead improved outcomes satisfaction.

Язык: Английский

Процитировано

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