Literatura académica sobre el tema "Visitor emotions"
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Artículos de revistas sobre el tema "Visitor emotions"
Hadmar, Ambo Sakka. "Dampak lingkungan fisik dan kualitas pelayanan terhadap emosi pelanggan serta kepuasan konsumen sebagai variabel intervening". Jurnal Manajemen Strategi dan Aplikasi Bisnis 5, n.º 2 (31 de julio de 2022): 185–94. http://dx.doi.org/10.36407/jmsab.v5i2.684.
Texto completoDing, Lilan y Nurul Hanim Romainoor. "A study on the perception of Sichuan Museum tourism experience based on web text analysis". Journal of Social Science and Humanities 5, n.º 5 (30 de octubre de 2022): 1–9. http://dx.doi.org/10.26666/rmp.jssh.2022.5.1.
Texto completoDel Chiappa, Giacomo, Luisa Andreu y Martina G. Gallarza. "Emotions and visitors’ satisfaction at a museum". International Journal of Culture, Tourism and Hospitality Research 8, n.º 4 (30 de septiembre de 2014): 420–31. http://dx.doi.org/10.1108/ijcthr-03-2014-0024.
Texto completoManoharan, Dr Samuel y Prof. Sathish. "Geospatial and Social Media Analytics for Emotion Analysis of Theme Park Visitors using Text Mining and GIS". June 2020 2, n.º 2 (27 de mayo de 2020): 100–107. http://dx.doi.org/10.36548/jitdw.2020.2.003.
Texto completoFrost, Meg, Caitlyn Towne-Anderson y Kendal Ferguson. "The Positive Side of Eliciting Negative Emotions: Survey Results of Visitor Responses to a Library Exhibit". RBM: A Journal of Rare Books, Manuscripts, and Cultural Heritage 20, n.º 2 (21 de noviembre de 2019): 84. http://dx.doi.org/10.5860/rbm.20.2.84.
Texto completoDudley, Lachlan. "‘I think I know a little bit about that anyway, so it’s okay’: Museum visitor strategies for disengaging with confronting mental health material". Museum and Society 15, n.º 2 (12 de julio de 2017): 193–216. http://dx.doi.org/10.29311/mas.v15i2.839.
Texto completoVaske, Jerry J. y Carly C. Sponarski. "The demographics of knowledge, attitudes and emotions toward coyotes". Wildlife Research 48, n.º 5 (2021): 426. http://dx.doi.org/10.1071/wr20071.
Texto completoLeiberich, Peter, Thomas Loew, Karin Tritt, Claas Lahmann y Marius Nickel. "Body Worlds exhibition—Visitor attitudes and emotions". Annals of Anatomy - Anatomischer Anzeiger 188, n.º 6 (noviembre de 2006): 567–73. http://dx.doi.org/10.1016/j.aanat.2006.03.005.
Texto completoMagaš, Damir. "INFLUENCE OF SELECTED DETERMINANTS ON THE PERCEPTION OF BEACHES AS A TOURISM PRODUCT". Tourism and hospitality management 28, n.º 3 (diciembre de 2022): 703–6. http://dx.doi.org/10.20867/thm.28.3.15.
Texto completoSherwen, Sally L. y Paul H. Hemsworth. "The Visitor Effect on Zoo Animals: Implications and Opportunities for Zoo Animal Welfare". Animals 9, n.º 6 (17 de junio de 2019): 366. http://dx.doi.org/10.3390/ani9060366.
Texto completoTesis sobre el tema "Visitor emotions"
Blondeau, Virginie. "Vers un humanisme numérique : du témoin vivant au grand témoin numérique". Thesis, Valenciennes, Université Polytechnique Hauts-de-France, 2020. http://www.theses.fr/2020UPHF0027.
Texto completoDigital technologies allow the preservation of heritage traces from witnesses of the past. Safeguarding an intangible heritage responds to various concerns, including that of allowing a mediation with the public. How can we ensure that such digital traces, staged with the help of instrumented or hybrid mediation devices, preserve the authenticity and strength of the initial testimony? Which mediations can allow the public to connect with content proposed to them? Is technological innovation always a guarantee of quality visitor experience? What is the place and function of emotions in their federating-links to witnesses of the past? The central question of the thesis can thus be formulated as follows: When considering an endangered intangible heritage, what solutions can enhance visitor experience? To answer these questions, an enactionist constructivist epistemology is mobilised along with survey methods, such as stimulated recall interviews (REMIND), are implemented. This theoretical and methodological framework provides access to visitor experience in its 12 cognitive, corporal and emotional dimensions. Developed primarily in the context of the memory of mining, the main results of this thesis identify the possibility of an experiential grammar of mediation devices. They underline the importance of the human facilitator in hybrid mediations. Finally, they open research perspectives regarding the technological conditions and the legal status of the digital witness, i.e. conditions that transform a living witness into a Grand Digital Witness
Fahlstedt, Hedvig. "Principles of a Gamification Concept in a Museum Using AR for Enhancing the Engagement in Children". Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-289221.
Texto completoEtt museum är inte bara en offentlig förvaring av kultur utan även en utbildningsinstitution som strävar efter att emotionellt stimulera sina besökare genom att erbjuda en stimulerande utbildningsupplevelse. Dock finns det en allmän uppfattning att museer ibland anses vara tråkiga, särskilt hos de yngre besökarna. Syftet med denna studie var att undersöka hur en utställning i ett museum kan bli mer engagerande genom att kombinera spelifiering med museets handlingssätt för att förbättra besökarnas engagemang hos barn. Målet var att identifiera distinkta principer i de fyra dimensionerna spelifiering, museum som kontext, målgruppen 10-13-åringar och teknologin Augmented Reality. Genom att använda Research Through Design metodologin genomfördes en konceptstudie och designstudie. En prototyp utvecklades som en representation av de definierade principerna som utvärderades i en användarstudie med deltagare inom målgruppen. Användarstudiens resultat visade att spelifieringskonceptet var engagerande, men med anledning av få deltagare såväl som brist på användardata kunde konceptet inte validera att besökarnas museumrelaterade engagemang förbättrades. Däremot kan resultatens utvärdering och de principer som definierats i denna studie fungera som riktlinjer för annan forskning som utförs inom samma dimensioner eller med liknande förhållanden.
Lambert, Hayley M. "Emotion Discrimination in Peripheral Vision". TopSCHOLAR®, 2018. https://digitalcommons.wku.edu/theses/2087.
Texto completoWalters, Gabrielle. "Consumption Vision, Emotion and the Tourism Consumer's Purchase Decision". Thesis, Griffith University, 2008. http://hdl.handle.net/10072/365981.
Texto completoThesis (PhD Doctorate)
Doctor of Philosophy (PhD)
Griffith Business School
Griffith Business School
Full Text
Bramschreiber, Siera Nicole. "The Influence of Happy Faces on Spatiotemporal Vision". TopSCHOLAR®, 2016. http://digitalcommons.wku.edu/theses/1624.
Texto completoJulin, Fredrik. "Vision based facial emotion detection using deep convolutional neural networks". Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-42622.
Texto completoKosti, Ronak. "Visual scene context in emotion perception". Doctoral thesis, Universitat Oberta de Catalunya, 2019. http://hdl.handle.net/10803/667808.
Texto completoLos estudios psicológicos muestran que el contexto de la escena, además de la expresión facial y la pose corporal, aporta información importante a nuestra percepción de las emociones de las personas. Sin embargo, el procesamiento del contexto para el reconocimiento automático de emociones no se ha explorado en profundidad, en parte debido a la falta de datos adecuados. En esta tesis presentamos EMOTIC, un conjunto de datos de imágenes de personas en situaciones naturales y diferentes anotadas con su aparente emoción. La base de datos EMOTIC combina dos tipos diferentes de representación de emociones: (1) un conjunto de 26 categorías de emociones y (2) las dimensiones continuas de valencia, excitación y dominación. También presentamos un análisis estadístico y algorítmico detallado del conjunto de datos junto con el análisis de concordancia de los anotadores. Los modelos CNN están entrenados en EMOTIC, combinando características de la persona con características de escena (contexto). Nuestros resultados muestran cómo el contexto de la escena aporta información importante para reconocer automáticamente los estados emocionales, lo cual motiva más investigaciones en esta dirección.
Psychological studies show that the context of a setting, in addition to facial expression and body language, lends important information that conditions our perception of people's emotions. However, context's processing in the case of automatic emotion recognition has not been explored in depth, partly due to the lack of sufficient data. In this thesis we present EMOTIC, a dataset of images of people in various natural scenarios annotated with their apparent emotion. The EMOTIC database combines two different types of emotion representation: (1) a set of 26 emotion categories, and (2) the continuous dimensions of valence, arousal and dominance. We also present a detailed statistical and algorithmic analysis of the dataset along with the annotators' agreement analysis. CNN models are trained using EMOTIC, combining a person's features with those of the setting (context). Our results not only show how the context of a setting contributes important information for automatically recognizing emotional states but also promote further research in this direction.
Nash, Megan Nancy. "Affected Eyes: Seeing and Feeling in the Sentimental Tradition". Thesis, The University of Sydney, 2019. https://hdl.handle.net/2123/21616.
Texto completoJain, Varun. "Visual Observation of Human Emotions". Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GRENM006/document.
Texto completoIn this thesis we focus on the development of methods and techniques to infer affect from visual information. We focus on facial expression analysis since the face is one of the least occluded parts of the body and facial expressions are one of the most visible manifestations of affect. We explore the different psychological theories on affect and emotion, different ways to represent and classify emotions and the relationship between facial expressions and underlying emotions. We present the use of multiscale Gaussian derivatives as an image descriptor for head pose estimation, smile detection before using it for affect sensing. Principal Component Analysis is used for dimensionality reduction while Support Vector Machines are used for classification and regression. We are able to employ the same, simple and effective architecture for head pose estimation, smile detection and affect sensing. We also demonstrate that not only do multiscale Gaussian derivatives perform better than the popular Gabor Filters but are also computationally less expensive to compute. While performing these experiments we discovered that multiscale Gaussian derivatives do not provide an appropriately discriminative image description when the face is only partly illuminated. We overcome this problem by combining Gaussian derivatives with Local Binary Pattern (LBP) histograms. This combination helps us achieve state-of-the-art results for smile detection on the benchmark GENKI database which contains images of people in the "wild" collected from the internet. We use the same description method for face recognition on the CMU-PIE database and the challenging extended YaleB database and our results compare well with the state-of-the-art. In the case of face recognition we use metric learning for classification, adopting the Minkowski distance as the similarity measure. We find that L1 and L2 norms are not always the optimum distance metrics and the optimum is often an Lp norm where p is not an integer. Lastly we develop a multi-modal system for depression estimation with audio and video information as input. We use Local Binary Patterns -Three Orthogonal Planes (LBP-TOP) features to capture intra-facial movements in the videos and dense trajectories for macro movements such as the movement of the head and shoulders. These video features along with Low Level Descriptor (LLD) audio features are encoded using Fisher Vectors and finally a Support Vector Machine is used for regression. We discover that the LBP-TOP features encoded with Fisher Vectors alone are enough to outperform the baseline method on the Audio Visual Emotion Challenge (AVEC) 2014 database. We thereby present an effective technique for depression estimation which can be easily extended for other slowly varying aspects of emotions such as mood
Bek, Rim. "The Perceptual and Psychological Effects of Artificial Lighting on Peripheral Vision in Humans". Thesis, KTH, Ljusdesign, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233630.
Texto completoLibros sobre el tema "Visitor emotions"
Chakraborty, Aruna. Emotional Intelligence: A Cybernetic Approach. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009.
Buscar texto completoPaul, Marcus y Jeschke Susan ill, eds. Scary night visitors: A story for children with bedtime fears. Milwaukee: G. Stevens, 1993.
Buscar texto completoMarcus, Irene Wineman. Scary night visitors: A story for children with bedtime fears. New York: Magination Press, 1990.
Buscar texto completoErich, Fromm. Sarang ŭi kisul. Sŏul Tʻŭkpyŏlsi: Munye Chʻulpʻansa, 2005.
Buscar texto completoDavid, Hutchison. Affect and Emotion in Human-Computer Interaction: From Theory to Applications. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2008.
Buscar texto completoDaum, Andreas W. Kennedy in Berlin: Politik, Kultur und Emotionen im Kalten Krieg. Paderborn: Ferdinand Schöningh, 2003.
Buscar texto completoauthor, Mao Qirong, Lin, Qing, active 2013 author y Cheng Keyang author, eds. Shi jue yu yin qing gan shi bie. Beijing: Ke xue chu ban she, 2013.
Buscar texto completoJohnstone, May. The emotional effects of childbirth: A distance learning course for midwives, health visitors and others who care for women around the time of childbirth. [Doncaster]: Marcé Society, 1994.
Buscar texto completoA, Tsihrintzis George, ed. Visual affect recognition. Amsterdam: IOS Press, 2010.
Buscar texto completoCeccucci, Piero, ed. Fiorenza mia…! Firenze e dintorni nella poesia portoghese d'oggi. Florence: Firenze University Press, 2009. http://dx.doi.org/10.36253/978-88-8453-329-6.
Texto completoCapítulos de libros sobre el tema "Visitor emotions"
Jaeger, Stephan. "Visitor Emotions, Experientiality, Holocaust, and Human Rights". En Visitor Experience at Holocaust Memorials and Museums, 31–45. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003220626-4.
Texto completoKatharaki, Sofia. "The Impact of Emotions, Empathy, and Memory in Holocaust Exhibitions". En Visitor Experience at Holocaust Memorials and Museums, 88–102. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003220626-8.
Texto completoSmith, Laurajane. "Demographic variables and visitor responses". En Emotional Heritage, 161–73. Abingdon, Oxon ; New York, NY : Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9781315713274-10.
Texto completoAlelis, Genevieve, Ania Bobrowicz y Chee Siang Ang. "Exhibiting Emotion: Capturing Visitors’ Emotional Responses to Museum Artefacts". En Design, User Experience, and Usability. User Experience in Novel Technological Environments, 429–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39238-2_47.
Texto completoBhattacharya, Uttaran, Christian Roncal, Trisha Mittal, Rohan Chandra, Kyra Kapsaskis, Kurt Gray, Aniket Bera y Dinesh Manocha. "Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping". En Computer Vision – ECCV 2020, 145–63. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58607-2_9.
Texto completoFu, Gang, Jiayu Ye y Qingxiang Wang. "Dep-Emotion: Suppressing Uncertainty to Recognize Real Emotions in Depressed Patients". En Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 655–67. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37660-3_46.
Texto completoJiang, Hexin, Xuefeng Liang, Wenxin Xu y Ying Zhou. "Pairwise-Emotion Data Distribution Smoothing for Emotion Recognition". En Pattern Recognition and Computer Vision, 164–75. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-8435-0_13.
Texto completoMalone, Hannah. "Feeling Political in Military Cemeteries: Commemoration Politics in Fascist Italy". En Feeling Political, 219–48. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89858-8_8.
Texto completoAdishesha, Amogh Subbakrishna y Tianxiang Zhao. "Emotion Embedded Pose Generation". En Computer Vision – ECCV 2020 Workshops, 774–87. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-66415-2_54.
Texto completoMarlowe, Sara. "Supporting Young Children Visited by Big Emotions". En Collaborative Therapy and Neurobiology, 50–61. New York, NY : Routledge, 2017: Routledge, 2017. http://dx.doi.org/10.4324/9781315622484-5.
Texto completoActas de conferencias sobre el tema "Visitor emotions"
Gabellone, Francesco, Ivan Ferrari, Francesco Giuri y Maria Chiffi. "SELF-EXPLAINING VIDEOS FOR THE MUSEO EGIZIO IN TURIN". En ARQUEOLÓGICA 2.0 - 8th International Congress on Archaeology, Computer Graphics, Cultural Heritage and Innovation. Valencia: Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/arqueologica8.2016.3550.
Texto completoBenente, Michela, Valeria Minucciani y Annamaria Berti. "Neurosciences and museum - Museum visit as inclusive, embodied and transformative experience". En 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003333.
Texto completoLindborg, PerMagnus. "Feeling Loki's Pain: Designing and Evaluating a DIY 3D Auditory Display for Geodata Sonification". En ICAD 2021: The 26th International Conference on Auditory Display. icad.org: International Community for Auditory Display, 2021. http://dx.doi.org/10.21785/icad2021.004.
Texto completoCardiff, John y María-José Gómez-Aguilella. "Destination Satisfaction in Senior Tourism: A Case Study". En INNODOCT 2019. Valencia: Universitat Politècnica de València, 2019. http://dx.doi.org/10.4995/inn2019.2019.10269.
Texto completoD'Agostino, Gianluca, Hilary Serra y Claudio Zavattaro. "The emotional impact of cultural heritage on the public: physiological and psychological effects of multisensorial experiences". En 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003331.
Texto completoGUO, ZIDI. "EMOTIONAL EXPRESSION IN MODERN VISUAL COMMUNICATION DESIGN—TAKING KINDERGARTEN BRAND IMAGE DESIGN AS AN EXAMPLE". En 2023 9TH INTERNATIONAL SYMPOSIUM ON SOCIAL SCIENCE. Destech Publications, Inc., 2023. http://dx.doi.org/10.12783/dtssehs/isss2023/36055.
Texto completoMoreira Da Silva, Fernando y Rita Almendra. "Emotion: A Vital Component in Design Decision Making". En 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001386.
Texto completoShah, Devanshi, Elisabeth Kames y Beshoy Morkos. "Neurocognitive Effects of Incentivizing Students to Improve Performance Through Repeat Attempts in Design Settings". En ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-72058.
Texto completoChernenko, Anna D., Maria Sergeevna Ashapkina, Victoria Alexandrovna Sablina y Alexey Viktorovich Alpatov. "Physical Activity Set Selection for Emotional State Harmonization Based on Facial Micro-Expression Analysis". En 32nd International Conference on Computer Graphics and Vision. Keldysh Institute of Applied Mathematics, 2022. http://dx.doi.org/10.20948/graphicon-2022-678-687.
Texto completoBeszedes, M. y P. F. Culverhouse. "Facial Emotions and Emotion Intensity Levels Classification and Classification Evaluation". En British Machine Vision Conference 2007. British Machine Vision Association, 2007. http://dx.doi.org/10.5244/c.21.52.
Texto completoInformes sobre el tema "Visitor emotions"
Russell, Christina A. Centering Wellbeing: Advancing Social Emotional Learning for All. Digital Promise, abril de 2023. http://dx.doi.org/10.51388/20.500.12265/177.
Texto completoSoenko, Yevgeny. TYPOLOGY OF PERIPHERAL VISION. Intellectual Archive, mayo de 2020. http://dx.doi.org/10.32370/iaj.2331.
Texto completoShey Wiysonge, Charles. Does additional social support during at-risk pregnancy improve perinatal outcomes? SUPPORT, 2016. http://dx.doi.org/10.30846/1608104.
Texto completoТарасова, Олена Юріївна y Ірина Сергіївна Мінтій. Web application for facial wrinkle recognition. Кривий Ріг, КДПУ, 2022. http://dx.doi.org/10.31812/123456789/7012.
Texto completoChervinchuk, Alina. THE CONCEPT OF ENEMY: REPRESENTATION IN THE UKRAINIAN MILITARY DOCUMENTARIES. Ivan Franko National University of Lviv, febrero de 2021. http://dx.doi.org/10.30970/vjo.2021.49.11063.
Texto completoHEFNER, Robert. IHSAN ETHICS AND POLITICAL REVITALIZATION Appreciating Muqtedar Khan’s Islam and Good Governance. IIIT, octubre de 2020. http://dx.doi.org/10.47816/01.001.20.
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