Facial expressions and subjective assessments of emotions

Vartanov, A.; Ivanov, Viacheslav; Vartanova, Irine I.

doi:10.1016/j.cogsys.2019.10.005

Cited by 15 publications

(7 citation statements)

References 4 publications

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“…Однако необходимо отметить, что большинство как российских, так и зарубежных исследований связаны именно с технологиями искусственного интеллекта, их разработкой, внедрением и улучшением. Есть работы по отдельным направлениям ИИ, например, можно отметить ряд трудов российских исследователей в сфере ИИ -компьютерное зрение (Khokhlova et al, 2019;Bokovoy et al, 2020), биометрическое распознавание (Vartanov et al, 2020), предиктивная аналитика (Buevich et al, 2021) и др.…”

Section: анализ существующих подходов к классификации технологий в сф...unclassified

Untitled

2022

ESC / ЭиСП

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Рецензируемый научно-практический журнал, охватывающий вопросы анализа и прогноза изменений в экономике и социальной сфере различных стран и регионов, локальных территорий.Основная цель издания журнала -предоставление широким слоям мировой научной общественности и практическим работникам возможности публиковать результаты изысканий в сфере исследования социально-экономических процессов, знакомиться с различными точками зрения на актуальные проблемы развития экономики и социума, принимать участие в дискуссиях по обсуждаемым темам. В числе основных тем -стратегии развития территорий, региональная и отраслевая экономика, социальное развитие, вопросы формирования доходов бюджетов и рационализации расходов, инновационная экономика, вопросы экономической теории.

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Section: анализ существующих подходов к классификации технологий в сф...unclassified

Untitled

2022

ESC / ЭиСП

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“…This system allows to monitor and quantitatively record two basic emotions (valence and arousal) and eight emotions (neutral, happy, sad, angry, surprised, scared, disgusted and contempt). Two basic emotions (valence and arousal) have been measured in the past mostly by generalized scalesfor example, the self-assessment manikin (SAM) (Bradley and Lang, 1994), but now their use in biometrics is expanding (Vartanov et al, 2020;Bartkiene et al, 2021). Eight emotions represent emotions that are distinguishable and, at the same time, quantifiable using biometrics, which increases the objectivity of information.…”

Section: Research Design and Data Structurementioning

confidence: 99%

Influence of aromatization on the perception of work environment and job satisfaction

Čarnogurský

Madzík

Diačiková

et al. 2022

TQM

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PurposeThe aim of this paper is to examine how indoor aromatization affects the expressed and unexpressed satisfaction with the work environment in the production hall of an industrial company.Design/methodology/approachThe aroma was flavored by an aromatization unit, the expressed satisfaction was measured on a scale and biometrics of facial recognition (FaceReader) was used to measure unexpressed satisfaction, enabling the recording of eight emotions and two basic emotions.FindingsResearch has shown the effect of aroma on two emotions – neutral and angry – which partially confirmed the sense of flavoring production facilities. Previous research has shown that positive feelings caused by a pleasant smell influence customers' purchasing decisions. As the use of aroma affects the mental state of the individual, it could be also applied for non-marketing purposes.Originality/valueTo date, there has been no research that systematically addresses the impact of aromatization on the perception of the work environment in a manufacturing company. The presented study is unique in its design and focus and provides basic information about the impact of aroma on individuals. The findings of this study can help to examine further aspects that indirectly affect performance.

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“…In [10], the authors extracted emotions from short video extracts and compared objective and subjective evaluations of emotions. In total 18 video extracts showing staged emotions were analysed.…”

Section: Semantic Analysis After Extraction Of Publication Informationmentioning

confidence: 99%

Extracting Information on Affective Computing Research from Data Analysis of Known Digital Platforms: Research into Emotional Artificial Intelligence

Yusupova

Bogdanova

Komendantova

et al. 2021

Digital

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The topic of affective computing has been growing rapidly in recent times. In the last five years, the volume of publications in this field has tripled. The question arises which research trends are most in demand today. This can only be judged by analysing the publications that present the results of research. Since researchers have access to the entire global scientific publication space, the task of analysing big data arises. This leads to the problem of identifying the most significant results in the subject area of interest. This paper presents some results of the analysis of semi-structured information from scientific citation databases on the subject of “affective computing”.

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Facial expressions and subjective assessments of emotions

Cited by 15 publications

References 4 publications

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Influence of aromatization on the perception of work environment and job satisfaction

Extracting Information on Affective Computing Research from Data Analysis of Known Digital Platforms: Research into Emotional Artificial Intelligence

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