Journal articles: 'Emotive architecture'

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Jain, Shikha, and Krishna Asawa. "Modeling of emotion elicitation conditions for a cognitive-emotive architecture." Cognitive Systems Research 55 (June 2019): 60–76. http://dx.doi.org/10.1016/j.cogsys.2018.12.012.

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Starkey, Stephen. "Cinematic Architecture: Harnessing the Emotive Power of Film through Physical Space." International Journal of the Constructed Environment 2, no. 1 (2012): 67–80. http://dx.doi.org/10.18848/2154-8587/cgp/v02i01/37515.

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Lawson, Bryan. "Research in UK architecture schools: clarification and case studies. Expert clarification." Architectural Research Quarterly 6, no. 2 (June 2002): 101–6. http://dx.doi.org/10.1017/s1359135502211550.

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Your leader (arq 6/1, p3) correctly concluded that the latest round of the UK Government's Research Assessment Exercise (RAE) results are the best yet overall for those departments in universities that include the subject of architecture. But we are in danger of misinterpreting this complex set of results as a result of some other more emotive and unclear arguments. Let me take the process apart slightly in order to clarify.

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Breazeal, Cynthia. "Emotive qualities in lip-synchronized robot speech." Advanced Robotics 17, no. 2 (January 2003): 97–113. http://dx.doi.org/10.1163/156855303321165079.

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Aitchison, Ross. "A time for troublemakers." Architectural Research Quarterly 16, no. 4 (December 2012): 380–82. http://dx.doi.org/10.1017/s1359135513000274.

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It is not often that a generation of people are offered the opportunity to decide the future course of a nation. In a little over a year around four million people living across Scotland will be afforded the monumental chance to decide whether the place they call home should be an independent country. As both ‘Yes’ and ‘No’ campaigns debate with claim and counterclaim over a wide range of emotive issues neither side can definitively answer, the grassroots campaigns of the pro-independence side are offering imaginative visions of a different Scotland building upon the cultural gains of devolution.

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Britton, Karla Cavarra, and Daniel Ledford. "Paul Rudolph and the Psychology of Space:." Journal of the Society of Architectural Historians 78, no. 3 (September 1, 2019): 327–46. http://dx.doi.org/10.1525/jsah.2019.78.3.327.

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The chapels at Tuskegee University and Emory University are among the most inventive—and least known—works of the American modernist architect Paul Rudolph (1918–97). In Paul Rudolph and the Psychology of Space: The Tuskegee and Emory University Chapels, Karla Cavarra Britton and Daniel Ledford analyze these buildings as significant exemplars of the postwar American university chapel, finding them subject to three seminal influences in Rudolph's life: his childhood experience of Southern Methodism, his encounters with the architecture of Frank Lloyd Wright, and his admiration for Le Corbusier's religious works. The chapels evoke powerful aesthetic and emotive experiences in their audiences, reflecting Rudolph's ambition that architecture should be grounded in a “psychology of space.” The Tuskegee Chapel, designed at the apex of Rudolph's career (1960–69), engages the university's African American musical and educational legacy. The Cannon Chapel at Emory, meanwhile, built late in Rudolph's professional life (1975–81) as a multiuse space for the university's school of theology, exhibits a contrasting pattern of complexity and intransigence.

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Singh, Jaiteg, Gaurav Goyal, and Sahil Gupta. "FADU-EV an automated framework for pre-release emotive analysis of theatrical trailers." Multimedia Tools and Applications 78, no. 6 (August 7, 2018): 7207–24. http://dx.doi.org/10.1007/s11042-018-6412-8.

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Kuletin-Ćulafić, Irena. "Architectural work of Aleksandar Deroko: Beauty of emotional creativity." SAJ - Serbian Architectural Journal 11, no. 3 (2019): 1–42. http://dx.doi.org/10.5937/saj1901001k.

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This paper studies significant and forgotten, but not less important, built and unrealised designs by Serbian architect Aleksandar Deroko. It seeks to achieve a continuous view in dealing with Deroko`s architectural work versus the historical discontinuity of political, territorial-geographic and social circumstances. It is impossible to separate Deroko as an architect from Deroko as a scholar, researcher, historian of architecture and art, an academic professor, painter, artist, writer, chronicler of his time, protector, conservator and historiographer of Serbian cultural heritage. The main aim of this paper is to apply comprehensive research approach within which his work in the field of architectural design will be considered in a complementary and pluralistic way. Deroko's architectural projects examined in their details and altogether represent distillate of Deroko's erudite personality, which casts shadow on relevant questions of Serbian history of architecture placement: How to understand it, observe and examine it, from Yugoslav or Serbian perspective, from the position of continuity or discontinuity, through characteristics of general or particular?

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Silverman, Barry G., Michael Johns, Jason Cornwell, and Kevin O'Brien. "Human Behavior Models for Agents in Simulators and Games: Part I: Enabling Science with PMFserv." Presence: Teleoperators and Virtual Environments 15, no. 2 (April 2006): 139–62. http://dx.doi.org/10.1162/pres.2006.15.2.139.

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This paper focuses on challenges to improving the realism of socially intelligent agents and attempts to reflect the state of the art in human behavior modeling with particular attention to the impact of personality/cultural values and affect as well as biology/stress upon individual coping and group decision making. The first section offers an assessment of the state of the practice and of the need to integrate valid human performance moderator functions (PMFs) from traditionally separated subfields of the behavioral literature. The second section pursues this goal by postulating a unifying architecture and principles for integrating existing PMF theories and models. It also illustrates a PMF testbed called PMFserv created for implementating and studying how PMFs may contribute to such an architecture. To date it interconnects versions of PMFs on physiology and stress; personality, cultural and emotive processes (Cognitive Appraisal-OCC, value systems); perception (Gibsonian affordance); social processes (relations, identity, trust, nested intentionality); and cognition (affect- and stress-augmented decision theory, bounded rationality). The third section summarizes several usage case studies (asymmetric warfare, civil unrest, and political leaders) and concludes with lessons learned. Implementing and interoperating this broad collection of PMFs helps to open the agenda for research on syntheses that can help the field reach a greater level of maturity. The companion paper, Part II, presents a case study in using PMFserv for rapid scenario composability and realistic agent behavior.

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Pérez Marco, Joaquín, Francisco José Serón Arbeloa, and Eva Cerezo Bagdasari. "Combining cognition and emotion in virtual agents." Kybernetes 46, no. 06 (June 5, 2017): 933–46. http://dx.doi.org/10.1108/k-11-2016-0340.

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Purpose The paper aims to explain the limitations of existing cognitive architectures and affective models, and propose a new cognitive-affective architecture that can be integrated in real intelligent agents to make them more realistic and believable. Design/methodology/approach The paper evaluates the state of the art, and describes the design and implementation of the cognitive-affective architecture in an agent. A brief evaluation of the agent is provided. Findings The paper clearly states that it is possible to use cognitive architectures to help, but there is a lack of architectures that address the problem of combining cognition and emotion in agents in a unified, simplified way. A cognitive-affective architecture is useful to make believable intelligent agents in an easier way. Research limitations/implications The paper does not explore a lot of possible future work that can be done to extend the emotional expressions of the agent, as well as including direct emotional-sensing capabilities in real time. Practical implications The paper argues about the need to include cognitive-affective architectures in modern intelligent agents. The architecture allows to influence and modify the behavior of the agent in real time, to achieve a more realistic and believable interaction with the user. Social implications The paper remarks the importance of a cognitive-affective architecture that makes intelligent agents able to help the users in different tasks and environments. Originality/value The paper describes a new cognitive-affective architecture and its utility for modern intelligent agents. This is proven by including it in a previous agent, which boosts its behavior and emotional expression possibilities and thus improves user experience.

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Guo, Hong Liang. "Integrated Analysis of Emotional Factors in the Planning and Design of Architecture." Applied Mechanics and Materials 651-653 (September 2014): 1177–81. http://dx.doi.org/10.4028/www.scientific.net/amm.651-653.1177.

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In order to achieve the good integration of emotional factors into the links of design in the planning and design of architecture, obtain the enjoyment and pleasure of space and realize the communication between human and architecture through the revery, this paper analyses the emotional factors in the process of architecture planning and emotional interchange, which are mainly comprised of expression for the emotion of architecture design through the factors like architectural shape, shadow, color, material and lighting and enable the architecture to show more value in terms of culture and emotion.

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Aprina, Aulia Fiki, Irene Maya Simon, and Djoko Budi Santoso. "Tingkat Self Awareness Mahasiswa Bimbingan dan Konseling Angkatan 2017 Universitas Negeri Malang Sebagai Kesiapan Menjadi Konselor Sekolah." Jurnal Pembelajaran, Bimbingan, dan Pengelolaan Pendidikan 1, no. 4 (July 25, 2021): 328–35. http://dx.doi.org/10.17977/um065v1i42021p328-335.

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Abstract: Self awareness is an individual's ability to recognize themselves and potential. Self awareness is important for guidance and counseling students to identify their own weaknesses and strengths, attitudes toward others, and manage emotions as readiness becomes school counselors. This research aims to describe the level of self-awareness of guidance and counseling students of 2017 class State University of Malang for readiness to become school counselors. The research used a quantitative approach with a survey as a data collection method. Survey research is used to gather information about self-awareness through statements. 30 percent of the population is used for trials and 70 percent is used for samples. The sampling technique is probability sampling. Data collection using a questionnaire using percentage analysis techniques. The results showed that the overall level of self-awareness was in high (81 percent), medium (19 percent), low (0 percent) categories. The level of self-awareness on the attention aspect is in high (99 percent), medium (1 percent), low (0 percent) categories. The level of self-awareness on the wakefulness aspect is in the high (66 percent), medium (34 percent), low (0 percent) category. The level of self-awareness in the architecture aspect is in high (73 percent), medium (27 percent), low (0 percent) categories. The level of self-awareness on the aspect of recall of knowledge is in high (84 percent), medium (16 percent), low (0 percent) categories. The level of self-awareness on the emotive aspect is in the high (93 percent), medium (7 percent), low (0 percent) category. Based on these data, it concluded that the level of self-awareness of guidance and counseling students of 2017 class State University of Malang tends to be high. Abstrak: Self awareness adalah kemampuan individu untuk mengenali diri dan potensi. Self awarenes penting bagi mahasiswa bimbingan dan konseling untuk mengetahui kelemahan dan kelebihan diri sendiri, sikap diri terhadap orang lain, dan kelola emosi sebagai kesiapan menjadi konselor sekolah. Penelitian bertujuan untuk mendeskripsikan tingkat self awareness mahasiswa bimbingan dan konseling angkatan 2017 Universitas Negeri Malang sebagai kesiapan menjadi konselor sekolah. Rancangan penelitian menggunakan pendekatan kuantitatif dengan survei sebagai metode pengumpulan data. Penelitian survei digunakan untuk mengumpulkan informasi terkait self awareness mahasiswa melalui daftar pernyataan. 30% dari populasi digunakan untuk uji coba dan 70 persen digunakan untuk sampel. Teknik pengambilan sampel ialah probability sampling. Pengumpulan data menggunakan angket dengan pengolahan data menggunakan teknik analisis persentase. Hasil penelitian menunjukkan tingkat self awareness secara keseluruhan dalam kategori tinggi (81 persen), sedang (19 persen), rendah (0 persen). Tingkat self awareness pada aspek attention dalam kategori tinggi (99 persen), sedang (1 persen), rendah (0 persen). Tingkat self awareness pada aspek wakefulness dalam kategori tinggi (66 persen), sedang (34 persen), rendah (0 persen). Tingkat self awareness pada aspek architecture dalam kategori tinggi (73 persen), sedang (27 persen), rendah (0 persen). Tingkat self awareness pada aspek recall of knowledge dalam kategori tinggi (84 persen), sedang (16 persen), rendah (0 persen). Tingkat self awareness pada aspek emotive dalam kategori tinggi (93 persen), sedang (7 persen), rendah (0 persen). Berdasarkan data tersebut, disimpulkan bahwa tingkat self awareness mahasiswa bimbingan dan konseling angkatan 2017 Universitas Negeri Malang cenderung tinggi.

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Osama, Marwah. "Asylum: A Place of Refuge." Archnet-IJAR: International Journal of Architectural Research 14, no. 1 (September 2, 2019): 60–69. http://dx.doi.org/10.1108/arch-04-2019-0083.

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Purpose Mental health disorders, namely, anxiety and depression, have reached an unprecedented peak; recent research demonstrates that these disorders have increased by 70 per cent over the last 25 years. Additionally, developments in the field of environmental psychology have elicited that the built environment is a crucial factor affecting mental health. It is, therefore, necessary for architects to address the issue when designing, thereby using a holistic approach to promote general well-being. The paper aims to discuss this issue. Design/methodology/approach The project, Asylum: A Place of Refuge, seeks to create a reinterpretation of the eighteenth century asylum, through which the intervention of nature – vast pastures and bucolic settings – believed it had the power to cure the human psyche while, simultaneously, offering redemption. This paper examines the project in relation to multiple books and readings conducted prior and while designing. These references, many of which are considered staples in the field, refer to the important role and impact architecture and landscape have on mental health. Additionally, it discusses the ways architects can consciously design to promote physiological well-being and ensure positive psychological experience through adoption of a comprehensive approach that bridges the gap between the body and mind. Finding sources related to environmental psychology was also crucial as the research conducted in this field provides scientific reasoning to support design decisions. Findings By employing strategies from the readings as well as creating a stimulating space that challenges the conception of architecture, the project: Asylum: A Place of Refuge, was born. The use of a powerful, specific and emotive language inherent to the setting as well as a constant relationship between nature and the built environment creates a safe haven for people to resort to, away from the pressures and stresses of everyday life amplified by bustling cities. The ethos of the project is essentially inspired upon Ebenezer Howard’s concept introduced in his book, Garden Cities of Tomorrow, where he states that “human society and the beauty of nature are meant to be enjoyed together. The two must be made one” (Howard, p. 48). Research limitations/implications The application and the validity of the project are limited to a conceptual proposal leading to speculative results. Although the research paper is based on architecture-related readings and research conducted in the field of environmental psychology, to verify how this project would function in a real-world setting, it is essential to build it. Social implications Applying these findings and this approach to architecture can enhance the quality of life. These ideas can be applied to many different building types including, but not limited to, living spaces, workplaces and recreational spaces. Originality/value This paper is based on an architecture project that was created by the author as part of their undergraduate thesis. As a result, this paper and proposal is fully original.

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Giske, Jarl, Sigrunn Eliassen, Øyvind Fiksen, Per J. Jakobsen, Dag L. Aksnes, Marc Mangel, and Christian Jørgensen. "The emotion system promotes diversity and evolvability." Proceedings of the Royal Society B: Biological Sciences 281, no. 1791 (September 22, 2014): 20141096. http://dx.doi.org/10.1098/rspb.2014.1096.

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Studies on the relationship between the optimal phenotype and its environment have had limited focus on genotype-to-phenotype pathways and their evolutionary consequences. Here, we study how multi-layered trait architecture and its associated constraints prescribe diversity. Using an idealized model of the emotion system in fish, we find that trait architecture yields genetic and phenotypic diversity even in absence of frequency-dependent selection or environmental variation. That is, for a given environment, phenotype frequency distributions are predictable while gene pools are not. The conservation of phenotypic traits among these genetically different populations is due to the multi-layered trait architecture, in which one adaptation at a higher architectural level can be achieved by several different adaptations at a lower level. Our results emphasize the role of convergent evolution and the organismal level of selection. While trait architecture makes individuals more constrained than what has been assumed in optimization theory, the resulting populations are genetically more diverse and adaptable. The emotion system in animals may thus have evolved by natural selection because it simultaneously enhances three important functions, the behavioural robustness of individuals, the evolvability of gene pools and the rate of evolutionary innovation at several architectural levels.

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Alipour, Leyla. "The perception of students’ pre-sketching by architecture educators." International Journal of Education Through Art 17, no. 3 (September 1, 2021): 389–406. http://dx.doi.org/10.1386/eta_00075_1.

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Different individuals have different perception of artworks. This study aims to find the differences between architecture educators and other interpreters in perceiving architecture students’ pre-sketching. For this purpose, the images of architecture students’ pre-sketches were interpreted by three groups. The information perceived from the students’ pre-sketching was coded and categorized as description, analysis, cognition, emotion, artist and evaluation. The results indicate that the focus of architecture educators was on formal aspects, architects tended to notice students’ architectural abilities while interpretations of educators from other disciplines emphasized the perception of meaning and emotion. The results also show the special role of educators’ perception in education through art.

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Tamari, Tomoko. "The Phenomenology of Architecture." Body & Society 23, no. 1 (December 13, 2016): 91–95. http://dx.doi.org/10.1177/1357034x16676540.

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This piece focuses on the work of Juhani Pallasmaa who introduces phenomenological aspects of kinesthetic and multisensory perception of the human body into architecture theory. He argues that hand-drawing is a vital spatial and haptic exercise in facilitating architectural design. Through this process, architecture can emerge as the very ‘material’ existence of human embodied ‘immaterial’ emotion, feelings and wisdom. Hence, for Pallasmaa, architecture can be seen as an artistic practice, which entails multisensory and embodied thought in order to establish the sense of being in the world.

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Babhulkar, Mr Shubham. "Application of Machine Learning for Emotion Classification." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 20, 2021): 1567–72. http://dx.doi.org/10.22214/ijraset.2021.36459.

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In this paper we propose an implement a general convolutional neural network (CNN) building framework for designing real-time CNNs. We validate our models by creat- ing a real-time vision system which accomplishes the tasks of face detection, gender classification and emotion classification simultaneously in one blended step using our proposed CNN architecture. After presenting the details of the training pro- cedure setup we proceed to evaluate on standard benchmark sets. We report accuracies of 96% in the IMDB gender dataset and 66% in the FER-2013 emotion dataset. Along with this we also introduced the very recent real-time enabled guided back- propagation visualization technique. Guided back-propagation uncovers the dynamics of the weight changes and evaluates the learned features. We argue that the careful implementation of modern CNN architectures, the use of the current regu- larization methods and the visualization of previously hidden features are necessary in order to reduce the gap between slow performances and real-time architectures. Our system has been validated by its deployment on a Care-O-bot 3 robot used during RoboCup@Home competitions. All our code, demos and pre- trained architectures have been released under an open-source license in our public repository.

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Do, Luu-Ngoc, Hyung-Jeong Yang, Hai-Duong Nguyen, Soo-Hyung Kim, Guee-Sang Lee, and In-Seop Na. "Deep neural network-based fusion model for emotion recognition using visual data." Journal of Supercomputing 77, no. 10 (March 10, 2021): 10773–90. http://dx.doi.org/10.1007/s11227-021-03690-y.

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AbstractIn this study, we present a fusion model for emotion recognition based on visual data. The proposed model uses video information as its input and generates emotion labels for each video sample. Based on the video data, we first choose the most significant face regions with the use of a face detection and selection step. Subsequently, we employ three CNN-based architectures to extract the high-level features of the face image sequence. Furthermore, we adjusted one additional module for each CNN-based architecture to capture the sequential information of the entire video dataset. The combination of the three CNN-based models in a late-fusion-based approach yields a competitive result when compared to the baseline approach while using two public datasets: AFEW 2016 and SAVEE.

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Beseiso, Majdi. "Word and Character Information Aware Neural Model for Emotional Analysis." Recent Patents on Computer Science 12, no. 2 (February 25, 2019): 142–47. http://dx.doi.org/10.2174/2213275911666181119112645.

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Background: Social media texts are often highly unstructured in accordance with the presence of hashtags, emojis and URLs occurring in abundance. Thus, a sentiment or emotion analysis on these kinds of texts becomes very difficult. The difficulty increases even more when such texts are in local languages like Arabic. Methods: This work utilizes novel deep learning architectures in the form of character-level Convolutional Neural Network (CNN) module and the word-level Recurrent Neural Network (RNN) module to produce a hybrid architecture that makes use of the character level analysis and the word level analysis to obtain state-of-the-art results on a totally new Arabic Emotions dataset. Results: The proposed method works the best among the traditional bag-of-words and Term Frequency and Inverse Document Frequency methods for emotion analysis. It also outperforms the state-of-the-art deep learning methods which are known to perform very well in an English corpus. Conclusion: The proposed deep end-to-end architecture utilizes the character level information from a text through the Character CNN Module and the word level information from a text through the Word-Level RNN Module.

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Banaei, Maryam, Abbas Yazdanfar, Javad Hatami, and Ali Ahmadi. "Emotion and Sustainable Residential Interior Shape." Journal of ASIAN Behavioural Studies 2, no. 2 (January 1, 2017): 13. http://dx.doi.org/10.21834/jabs.v2i2.197.

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Focusing on inhabitant’s climate comfort causes the neglect of personal and aesthetic factors that have effects on emotions and psychological comfort. Blindly adhering to sustainable design principles regardless of the basic architectural design parameters cause similar interior spaces in today’s housing of Iran. Interior space form is one the main design factors that has some effects on inhabitant’s emotions. It is a correlation research to study inhabitant’s emotions towards sustainable interior space by focusing on interior form. It illustrates that form can consider as an influential factor in creating and improving sustainable conditions according to inhabitant’s emotions. Keywords: sustainable interior design; emotion; shape; PAD 2514-7528 © 2017 The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK.. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.

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Kunimatsu, A., M. Oka, A. Ohba, T. Yutaka, T. Okada, M. Suzuoki, N. Ide, et al. "Vector unit architecture for emotion synthesis." IEEE Micro 20, no. 2 (March 2000): 40–47. http://dx.doi.org/10.1109/40.848471.

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Cartwright, William. "Emotion maps." Abstracts of the ICA 1 (July 15, 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-38-2019.

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Abstract. My perspective of Emotion Maps is not maps of emotions or the emotions evoked by spaces mapped or by mapping emotions evoked through the process of moving through a space. But – it is what we experience as ‘emotional uplifting’, when we view a cartographic artefact, whereby we elevate that artefact from a tool to communicate about geography to a piece of art. This is based on the premise of ‘Emotional Architecture’ proposed by by Mathias Goéritz in 1953 to describe an architecture elevated to art for the purpose of inspiring emotion (Loiseau, 2017). This led me to thinking about whether there are any maps that also inspire emotion. As rightly noted by a reviewer of this contribution (and thank you to reviewers for considering this paper and your welcomed reviews), what I am probably addressing is ‘aesthetic pleasure’. However, in order to ‘fit’ with Goéritz’s Emotional Architecture concept, I have stayed with my original title. As my research background is not in the area of Art and Cartography, I acknowledge that here I tread on dangerous ground. The reason for undertaking this research was to ascertain whether certain cartographic products may, when viewed, inspire viewers and uplift their emotions. This proposition needed to be tested by assessing a selection of cartographic artefacts against one Art theory. The theory papers from the era that was applied is Warehouse Theory.

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Scherer, Klaus R. "Emotions are emergent processes: they require a dynamic computational architecture." Philosophical Transactions of the Royal Society B: Biological Sciences 364, no. 1535 (December 12, 2009): 3459–74. http://dx.doi.org/10.1098/rstb.2009.0141.

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Emotion is a cultural and psychobiological adaptation mechanism which allows each individual to react flexibly and dynamically to environmental contingencies. From this claim flows a description of the elements theoretically needed to construct a virtual agent with the ability to display human-like emotions and to respond appropriately to human emotional expression. This article offers a brief survey of the desirable features of emotion theories that make them ideal blueprints for agent models. In particular, the component process model of emotion is described, a theory which postulates emotion-antecedent appraisal on different levels of processing that drive response system patterning predictions. In conclusion, investing seriously in emergent computational modelling of emotion using a nonlinear dynamic systems approach is suggested.

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Do, Nhu-Tai, Soo-Hyung Kim, Hyung-Jeong Yang, Guee-Sang Lee, and Soonja Yeom. "Context-Aware Emotion Recognition in the Wild Using Spatio-Temporal and Temporal-Pyramid Models." Sensors 21, no. 7 (March 27, 2021): 2344. http://dx.doi.org/10.3390/s21072344.

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Emotion recognition plays an important role in human–computer interactions. Recent studies have focused on video emotion recognition in the wild and have run into difficulties related to occlusion, illumination, complex behavior over time, and auditory cues. State-of-the-art methods use multiple modalities, such as frame-level, spatiotemporal, and audio approaches. However, such methods have difficulties in exploiting long-term dependencies in temporal information, capturing contextual information, and integrating multi-modal information. In this paper, we introduce a multi-modal flexible system for video-based emotion recognition in the wild. Our system tracks and votes on significant faces corresponding to persons of interest in a video to classify seven basic emotions. The key contribution of this study is that it proposes the use of face feature extraction with context-aware and statistical information for emotion recognition. We also build two model architectures to effectively exploit long-term dependencies in temporal information with a temporal-pyramid model and a spatiotemporal model with “Conv2D+LSTM+3DCNN+Classify” architecture. Finally, we propose the best selection ensemble to improve the accuracy of multi-modal fusion. The best selection ensemble selects the best combination from spatiotemporal and temporal-pyramid models to achieve the best accuracy for classifying the seven basic emotions. In our experiment, we take benchmark measurement on the AFEW dataset with high accuracy.

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Néji, Mohamed, Ali Wali, and Adel M. Alimi. "The Multi-Agents Architecture for Emotion Recognition." International Journal of Software Innovation 2, no. 1 (January 2014): 73–85. http://dx.doi.org/10.4018/ijsi.2014010106.

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The author's research focuses on the problem of Information Retrieval System (IRS) that integrates the human emotion recognition. This system must be able to recognize the degree of satisfaction of the user for the result found through its facial expression, its physiological state, its gestures and its voice. This paper is an algorithm for recognizing the emotional state of a user during a search session in order to issue the relevant documents that the user needs. The authors also present the architecture agent of the envisaged system and the organizational model.

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Grandjean, Didier, and Klaus R. Scherer. "Unpacking the cognitive architecture of emotion processes." Emotion 8, no. 3 (June 2008): 341–51. http://dx.doi.org/10.1037/1528-3542.8.3.341.

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Christensen, Lars Rune, and Mohamed Ahmed Abdullah. "Novel Model Architecture for EEG Emotion Classification." International Journal of Biotech Trends and Technology 9, no. 3 (September 25, 2019): 1–5. http://dx.doi.org/10.14445/22490183/ijbtt-v9i3p601.

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Hudlicka, Eva. "Guidelines for Designing Computational Models of Emotions." International Journal of Synthetic Emotions 2, no. 1 (January 2011): 26–79. http://dx.doi.org/10.4018/jse.2011010103.

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Rapid growth in computational modeling of emotion and cognitive-affective architectures occurred over the past 15 years. Emotion models and architectures are built to elucidate the mechanisms of emotions and enhance believability and effectiveness of synthetic agents and robots. Despite the many emotion models developed to date, a lack of consistency and clarity regarding what exactly it means to ‘model emotions’ persists. There are no systematic guidelines for development of computational models of emotions. This paper deconstructs the often vague term ‘emotion modeling’ by suggesting the view of emotion models in terms of two fundamental categories of processes: emotion generation and emotion effects. Computational tasks necessary to implement these processes are also identified. The paper addresses how computational building blocks provide a basis for the development of more systematic guidelines for affective model development. The paper concludes with a description of an affective requirements analysis and design process for developing affective computational models in agent architectures.

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Korb, Kevin B., and Ann E. Nicholson. "The essential roles of emotion in cognitive architecture." Behavioral and Brain Sciences 23, no. 2 (April 2000): 205–6. http://dx.doi.org/10.1017/s0140525x00362422.

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Rolls's presentation of emotion as integral to cognition is a welcome counter to a long tradition of treating them as antagonists. His eduction of experimental evidence in support of this view is impressive. However, we find his excursion into the philosophy of consciousness less successful. Rolls gives syntactical manipulation the central role in consciousness (in stark contrast to Searle, for whom “mere” syntax inevitably falls short of consciousness), and leaves us wondering about the roles left for emotion after all.

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Tashu, Tsegaye Misikir, Sakina Hajiyeva, and Tomas Horvath. "Multimodal Emotion Recognition from Art Using Sequential Co-Attention." Journal of Imaging 7, no. 8 (August 21, 2021): 157. http://dx.doi.org/10.3390/jimaging7080157.

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In this study, we present a multimodal emotion recognition architecture that uses both feature-level attention (sequential co-attention) and modality attention (weighted modality fusion) to classify emotion in art. The proposed architecture helps the model to focus on learning informative and refined representations for both feature extraction and modality fusion. The resulting system can be used to categorize artworks according to the emotions they evoke; recommend paintings that accentuate or balance a particular mood; search for paintings of a particular style or genre that represents custom content in a custom state of impact. Experimental results on the WikiArt emotion dataset showed the efficiency of the approach proposed and the usefulness of three modalities in emotion recognition.

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Cheah, Kit Hwa, Humaira Nisar, Vooi Voon Yap, Chen-Yi Lee, and G. R. Sinha. "Optimizing Residual Networks and VGG for Classification of EEG Signals: Identifying Ideal Channels for Emotion Recognition." Journal of Healthcare Engineering 2021 (March 30, 2021): 1–14. http://dx.doi.org/10.1155/2021/5599615.

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Emotion is a crucial aspect of human health, and emotion recognition systems serve important roles in the development of neurofeedback applications. Most of the emotion recognition methods proposed in previous research take predefined EEG features as input to the classification algorithms. This paper investigates the less studied method of using plain EEG signals as the classifier input, with the residual networks (ResNet) as the classifier of interest. ResNet having excelled in the automated hierarchical feature extraction in raw data domains with vast number of samples (e.g., image processing) is potentially promising in the future as the amount of publicly available EEG databases has been increasing. Architecture of the original ResNet designed for image processing is restructured for optimal performance on EEG signals. The arrangement of convolutional kernel dimension is demonstrated to largely affect the model’s performance on EEG signal processing. The study is conducted on the Shanghai Jiao Tong University Emotion EEG Dataset (SEED), with our proposed ResNet18 architecture achieving 93.42% accuracy on the 3-class emotion classification, compared to the original ResNet18 at 87.06% accuracy. Our proposed ResNet18 architecture has also achieved a model parameter reduction of 52.22% from the original ResNet18. We have also compared the importance of different subsets of EEG channels from a total of 62 channels for emotion recognition. The channels placed near the anterior pole of the temporal lobes appeared to be most emotionally relevant. This agrees with the location of emotion-processing brain structures like the insular cortex and amygdala.

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Fernández-Caballero, Antonio, Arturo Martínez-Rodrigo, José Manuel Pastor, José Carlos Castillo, Elena Lozano-Monasor, María T. López, Roberto Zangróniz, José Miguel Latorre, and Alicia Fernández-Sotos. "Smart environment architecture for emotion detection and regulation." Journal of Biomedical Informatics 64 (December 2016): 55–73. http://dx.doi.org/10.1016/j.jbi.2016.09.015.

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Hassan, Mohammad Mehedi, Md Golam Rabiul Alam, Md Zia Uddin, Shamsul Huda, Ahmad Almogren, and Giancarlo Fortino. "Human emotion recognition using deep belief network architecture." Information Fusion 51 (November 2019): 10–18. http://dx.doi.org/10.1016/j.inffus.2018.10.009.

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Hirth, Jochen, Norbert Schmitz, and Karsten Berns. "Towards Social Robots: Designing an Emotion-Based Architecture." International Journal of Social Robotics 3, no. 3 (January 7, 2011): 273–90. http://dx.doi.org/10.1007/s12369-010-0087-2.

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Mohamed, Essam Metwally. "The Relationship Between Interior Architecture and Music." Modern Applied Science 12, no. 10 (September 27, 2018): 86. http://dx.doi.org/10.5539/mas.v12n10p86.

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There is no doubt that there is a calculated relationship between architecture and music. If music is the translation of emotion, this emotion has been reflected in the architectural character and the arts of building and shaping its style. And the music of primitive tribes and barbaric peoples represented by the drums of homogeneous repetitions reflected on their buildings and primitive character or their huts identical and compact without compatibility or homogeneity. The rural music of each country, which is characterized by simple melodies and monotonous tones belonging to the living nature and sprouts from its land, we find a reflection of the buildings that are characterized by simplicity and calm and building materials derived from the surrounding nature. The Harmonized melodies and the continuous repetition of original tones and their background can easily be read or heard on the facades of the Islamic style buildings in the continuous surface repetition of contracts and decorations The change of the personality of Arab architecture from one country to another and the change of the form of contracts and domes, has found a similarity in the changing personality of contemporary music. Every modern development in architecture and its character is recorded by the music and its character. The more the cultures of the peoples are merged, the more modern the modern architecture, which occupies its place in the different countries, resonates with contemporary world music and converges with the civil affinity and culture of the peoples. "Architecture is music embodied in the place," says Hassan Fathi. "Music is an architecture embodied in time" Studying the relationship between interior architecture and music enables us to "enjoy" it by using our senses to "see what we listen to" and "hear what we see" achieve greater levels of experience. I think this is what the "normal" people do, and they use their senses to live life differently than they did before. Through practical experiments for students of Design 2, the music has been transformed into an interior design through the sensation, sensation and impression of the music in the same designer to translate these feelings into design forms and stereoscopic elements with materials, colors and reflections that express these feelings and the emotional state raised by this music.

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Muñoz, Sergio, Enrique Sánchez, and Carlos A. Iglesias. "An Emotion-Aware Learning Analytics System Based on Semantic Task Automation." Electronics 9, no. 8 (July 25, 2020): 1194. http://dx.doi.org/10.3390/electronics9081194.

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E-learning has become a critical factor in the academic environment due to the endless number of possibilities that it opens for the learning context. However, these platforms often suppose to increase the difficulties for the communication between teachers and students. Without having real contact between teachers and students, the former finds it harder to adapt their methods and content to their students, while the students also find complications for maintaining their focus. This paper aims to address this challenge with the use of emotion and engagement recognition techniques. We propose an emotion-aware e-learning platform architecture that recognizes students’ emotions and attention in order to improve their academic performance. The system integrates a semantic task automation system that allows users to easily create and configure their own automation rules to adapt the study environment. The main contributions of this paper are: (1) the design of an emotion-aware learning analytics architecture; (2) the integration of this architecture in a semantic task automation platform; and (3) the validation of the use of emotion recognition in the e-learning platform using partial least squares structural equation modeling (PLS-SEM) methodology.

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Liu, Ting Ting. "Real Time Dynamic Evaluation and Interactive Performance Test Based on Network Architecture." Applied Mechanics and Materials 556-562 (May 2014): 5700–5704. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.5700.

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BBS's speech in the public opinion has great impact on students’ emotion. If we can regulate public opinion of university BBS of, and deal with the speech with cross impact on students' moral emotion timely, which can make the BBS having good cross and the interaction impact on students' ideological and moral emotion. In this paper we use the MyEclipse5.1 version to expand the public opinion module of the forum, and use with chasing method to calculate the value of object function in the network public opinion evaluation, and join the moral evaluation module in the network architecture. The main function of this module is to optimize the evaluation process of the forum, realize the real-time evaluation of network public opinion, and eliminate the negative cross influence of network evaluation on students' moral emotion.

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Xie, Baijun, Mariia Sidulova, and Chung Hyuk Park. "Robust Multimodal Emotion Recognition from Conversation with Transformer-Based Crossmodality the title Fusion." Sensors 21, no. 14 (July 19, 2021): 4913. http://dx.doi.org/10.3390/s21144913.

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Decades of scientific research have been conducted on developing and evaluating methods for automated emotion recognition. With exponentially growing technology, there is a wide range of emerging applications that require emotional state recognition of the user. This paper investigates a robust approach for multimodal emotion recognition during a conversation. Three separate models for audio, video and text modalities are structured and fine-tuned on the MELD. In this paper, a transformer-based crossmodality fusion with the EmbraceNet architecture is employed to estimate the emotion. The proposed multimodal network architecture can achieve up to 65% accuracy, which significantly surpasses any of the unimodal models. We provide multiple evaluation techniques applied to our work to show that our model is robust and can even outperform the state-of-the-art models on the MELD.

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Dörner, Dietrich, and C. Dominik Güss. "PSI: A Computational Architecture of Cognition, Motivation, and Emotion." Review of General Psychology 17, no. 3 (September 2013): 297–317. http://dx.doi.org/10.1037/a0032947.

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Kryklywy, James H., Mana R. Ehlers, Adam K. Anderson, and Rebecca M. Todd. "From Architecture to Evolution: Multisensory Evidence of Decentralized Emotion." Trends in Cognitive Sciences 24, no. 11 (November 2020): 916–29. http://dx.doi.org/10.1016/j.tics.2020.08.002.

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小影, 王. "Theory and Researches on Neural Architecture of Emotion Regulation." Advances in Psychology 04, no. 01 (2014): 89–95. http://dx.doi.org/10.12677/ap.2014.41016.

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Darlow, Adam L., and Steven A. Sloman. "Two systems of reasoning: architecture and relation to emotion." Wiley Interdisciplinary Reviews: Cognitive Science 1, no. 3 (May 2010): 382–92. http://dx.doi.org/10.1002/wcs.34.

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Engen, Haakon G., Philipp Kanske, and Tania Singer. "The neural component-process architecture of endogenously generated emotion." Social Cognitive and Affective Neuroscience 12, no. 2 (September 16, 2016): 197–211. http://dx.doi.org/10.1093/scan/nsw108.

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Marks, L. U. "Atlas of Emotion: Journeys in Art, Architecture and Film." Screen 44, no. 3 (September 1, 2003): 337–42. http://dx.doi.org/10.1093/screen/44.3.337.

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Sun, Ron, Nick Wilson, and Michael Lynch. "Emotion: A Unified Mechanistic Interpretation from a Cognitive Architecture." Cognitive Computation 8, no. 1 (December 29, 2015): 1–14. http://dx.doi.org/10.1007/s12559-015-9374-4.

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Jaiswal, Shruti, and G. C. Nandi. "Robust real-time emotion detection system using CNN architecture." Neural Computing and Applications 32, no. 15 (October 24, 2019): 11253–62. http://dx.doi.org/10.1007/s00521-019-04564-4.

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Nam, Youngja, and Chankyu Lee. "Cascaded Convolutional Neural Network Architecture for Speech Emotion Recognition in Noisy Conditions." Sensors 21, no. 13 (June 27, 2021): 4399. http://dx.doi.org/10.3390/s21134399.

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Convolutional neural networks (CNNs) are a state-of-the-art technique for speech emotion recognition. However, CNNs have mostly been applied to noise-free emotional speech data, and limited evidence is available for their applicability in emotional speech denoising. In this study, a cascaded denoising CNN (DnCNN)–CNN architecture is proposed to classify emotions from Korean and German speech in noisy conditions. The proposed architecture consists of two stages. In the first stage, the DnCNN exploits the concept of residual learning to perform denoising; in the second stage, the CNN performs the classification. The classification results for real datasets show that the DnCNN–CNN outperforms the baseline CNN in overall accuracy for both languages. For Korean speech, the DnCNN–CNN achieves an accuracy of 95.8%, whereas the accuracy of the CNN is marginally lower (93.6%). For German speech, the DnCNN–CNN has an overall accuracy of 59.3–76.6%, whereas the CNN has an overall accuracy of 39.4–58.1%. These results demonstrate the feasibility of applying the DnCNN with residual learning to speech denoising and the effectiveness of the CNN-based approach in speech emotion recognition. Our findings provide new insights into speech emotion recognition in adverse conditions and have implications for language-universal speech emotion recognition.

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Gavrilescu, Mihai, and Nicolae Vizireanu. "Feedforward Neural Network-Based Architecture for Predicting Emotions from Speech." Data 4, no. 3 (July 15, 2019): 101. http://dx.doi.org/10.3390/data4030101.

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We propose a novel feedforward neural network (FFNN)-based speech emotion recognition system built on three layers: A base layer where a set of speech features are evaluated and classified; a middle layer where a speech matrix is built based on the classification scores computed in the base layer; a top layer where an FFNN- and a rule-based classifier are used to analyze the speech matrix and output the predicted emotion. The system offers 80.75% accuracy for predicting the six basic emotions and surpasses other state-of-the-art methods when tested on emotion-stimulated utterances. The method is robust and the fastest in the literature, computing a stable prediction in less than 78 s and proving attractive for replacing questionnaire-based methods and for real-time use. A set of correlations between several speech features (intensity contour, speech rate, pause rate, and short-time energy) and the evaluated emotions is determined, which enhances previous similar studies that have not analyzed these speech features. Using these correlations to improve the system leads to a 6% increase in accuracy. The proposed system can be used to improve human–computer interfaces, in computer-mediated education systems, for accident prevention, and for predicting mental disorders and physical diseases.

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Fayek, Haytham M., Margaret Lech, and Lawrence Cavedon. "Evaluating deep learning architectures for Speech Emotion Recognition." Neural Networks 92 (August 2017): 60–68. http://dx.doi.org/10.1016/j.neunet.2017.02.013.

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Banaei, Maryam, Abbas Yazdanfar, Javad Hatami, and Ali Ahmadi. "The Impacts of Sustainable Residential Interior Space on Inhabitant’s Emotions." Environment-Behaviour Proceedings Journal 1, no. 1 (June 26, 2016): 291. http://dx.doi.org/10.21834/e-bpj.v1i1.225.

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Focusing on inhabitant’s climate comfort causes the neglect of personal and aesthetic factors that have effects on emotions and psychological comfort. Blindly adhering to sustainable design principles regardless of the basic architectural design parameters cause similar interior spaces in today’s housing of Iran. Interior space form is one the main design factors that has some effects on inhabitant’s emotions. It is a correlation research to study inhabitant’s emotions towards sustainable interior space by focusing on interior form. It illustrates that form can consider as an influential factor in creating and improving sustainable conditions according to inhabitant’s emotions.© 2016. The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK. Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies, Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.Keywords: Sustainable interior design; emotion; shape; PAD

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Journal articles on the topic 'Emotive architecture'

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