Emotions analysis in public spaces for urban planning

Kaklauskas, Artūras; Bardauskienė, Dalia; Čerkauskienė, Rimantė; Ubarte, Ieva; Raslanas, Saulius; Radvile, E.; Kaklauskaite, Ulijona; Kaklauskiene, L.

doi:10.1016/j.landusepol.2021.105458

Cited by 46 publications

(16 citation statements)

References 135 publications

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“…In the future, we are planning to continue our research by analyzing many countries according to their success indicators [129,130] and calculating the emotional, hedonic, customer-perceived, and other [164][165][166][167] values of construction investments. Further multidisciplinary examination is essential to have an integrated picture of the interplay between the pandemic, national CIRED plans, and the behavior of investors and their demands for CIRED.…”

Section: Discussionmentioning

confidence: 99%

Sustainable Construction Investment, Real Estate Development, and COVID-19: A Review of Literature in the Field

et al. 2021

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Aspects of sustainable construction investment and real estate development (CIRED) and their interrelations during the period pre-, intra-, and post-COVID-19, are presented in the research. Applications of the topic model, environmental psychology theory, building life cycle method, and certain elements of bibliometrics, webometrics, article level metrics, altmetrics, and scientometrics make it possible to perform a quantitative analysis on CIRED. The CIRED topic model was developed in seven steps. This paper aims to present a literature review on CIRED throughout the pandemic and to look at the responses from the real estate and construction sector. This sector is a field that appears to be rapidly expanding, judging from the volume of current research papers. This review focuses on last year’s leading peer-reviewed journals. A combination of various keywords was applied for the review and the criteria for paper selections included construction investment, real estate development, civil engineering, COVID-19, and sustainability, as well as residential, industrial, commercial, land, and special purpose real estate, along with their risks, strategies, and trends. The articles reviewed for this paper, which analyzes three hypotheses, look at pre-, intra-, and post-pandemic CIRED. The three hypotheses were validated by analyzing scientific publications from around the world. Two innovative elements make this study stand out among the most advanced research on pre-, intra-, and post-pandemic CIRED. The first of the two innovations is the integrated analysis of the COVID-19 pandemic, COVID-19-related national policies, and business investment strategies relevant to CIRED and the interests of investors as well as on the impact a CIRED policy and investors make on the spread of COVID-19. In addition, this research demonstrates a marked increase in the effectiveness of a CIRED analysis, when the life cycle of a CIRED, the involved stakeholders with their own individual interests, the COVID-19 situation, and the external micro-, meso-, and macro-environments are covered comprehensively as a single entity.

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Section: Discussionmentioning

confidence: 99%

Sustainable Construction Investment, Real Estate Development, and COVID-19: A Review of Literature in the Field

et al. 2021

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“…In this study, we have identified real-time context [347] data and have integrated them with AFFECT data. For example, the ROCK Video Neuroanalytics system and associated e-infrastructure were established as part of the H2020 ROCK project, in which passers-by were tracked at 10 locations across Vilnius [348]. One of the outputs was the real-time Vilnius Happiness Index (Figure 10 and https://api.vilnius.lt/happinessindex, accessed on 5 September 2022), and the project also involved a number of additional activities (https://Vilnius.lt/en/category/rock-project/, accessed on 5 September 2022) [625,626].…”

Section: Discussionmentioning

confidence: 99%

Internet and Biometric Web Based Business Management Decision Support

Kaklauskas¹

2023

Preprint

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“…In this study, we have identified real-time context [ 347 ] data and have integrated them with AFFECT data. For example, the ROCK Video Neuroanalytics system and associated e-infrastructure were established as part of the H2020 ROCK project, in which passers-by were tracked at 10 locations across Vilnius [ 348 ]. One of the outputs was the real-time Vilnius Happiness Index ( Figure 10 and , accessed on 5 September 2022), and the project also involved a number of additional activities ( , accessed on 5 September 2022) [ 625 , 626 ].…”

Section: Discussionmentioning

confidence: 99%

“…Valence was measured every second and these values were accumulated by weekdays (marked in the chart with specific colors) at 95% confidence intervals. The y-axis shows the average values of valence (which fluctuates between −1 to 1) for each full day, for seven days, and the x-axis shows the hour starting at midnight [ 348 ].…”

Section: Brain and Biometric Affect Sensorsmentioning

confidence: 99%

A Review of AI Cloud and Edge Sensors, Methods, and Applications for the Recognition of Emotional, Affective and Physiological States

Kaklauskas

Abraham

Ubarte

et al. 2022

Sensors

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Affective, emotional, and physiological states (AFFECT) detection and recognition by capturing human signals is a fast-growing area, which has been applied across numerous domains. The research aim is to review publications on how techniques that use brain and biometric sensors can be used for AFFECT recognition, consolidate the findings, provide a rationale for the current methods, compare the effectiveness of existing methods, and quantify how likely they are to address the issues/challenges in the field. In efforts to achieve the key goals of Society 5.0, Industry 5.0, and human-centered design better, the recognition of emotional, affective, and physiological states is progressively becoming an important matter and offers tremendous growth of knowledge and progress in these and other related fields. In this research, a review of AFFECT recognition brain and biometric sensors, methods, and applications was performed, based on Plutchik’s wheel of emotions. Due to the immense variety of existing sensors and sensing systems, this study aimed to provide an analysis of the available sensors that can be used to define human AFFECT, and to classify them based on the type of sensing area and their efficiency in real implementations. Based on statistical and multiple criteria analysis across 169 nations, our outcomes introduce a connection between a nation’s success, its number of Web of Science articles published, and its frequency of citation on AFFECT recognition. The principal conclusions present how this research contributes to the big picture in the field under analysis and explore forthcoming study trends.

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Emotions analysis in public spaces for urban planning

Cited by 46 publications

References 135 publications

Sustainable Construction Investment, Real Estate Development, and COVID-19: A Review of Literature in the Field

Sustainable Construction Investment, Real Estate Development, and COVID-19: A Review of Literature in the Field

Internet and Biometric Web Based Business Management Decision Support

A Review of AI Cloud and Edge Sensors, Methods, and Applications for the Recognition of Emotional, Affective and Physiological States

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