Academic literature on the topic 'Affective state'
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Journal articles on the topic "Affective state"
Koukopoulos, Alexia Emilia, Gloria Angeletti, Gabriele Sani, Delfina Janiri, Giovanni Manfredi, Georgios D. Kotzalidis, and Lavinia De Chiara. "Perinatal Mixed Affective State." Psychiatric Clinics of North America 43, no. 1 (March 2020): 113–26. http://dx.doi.org/10.1016/j.psc.2019.10.004.
Full textHarding, Emma J., Elizabeth S. Paul, and Michael Mendl. "Cognitive bias and affective state." Nature 427, no. 6972 (January 2004): 312. http://dx.doi.org/10.1038/427312a.
Full textAltman, Tess. "Making the State Blush." Social Analysis 64, no. 1 (March 1, 2020): 1–23. http://dx.doi.org/10.3167/sa.2020.640101.
Full textCosta Da Silva, Elainy, and Nythamar De Oliveira. "Spinoza’s Geometry of Affective Relations, the Body Politic, and the Social Grammar of Intolerance: A Minimalist Theory of Toleration." Roczniki Filozoficzne 70, no. 4 (December 30, 2022): 237–69. http://dx.doi.org/10.18290/rf2204.9.
Full textMurali Krishna, P., R. Pradeep Reddy, Veena Narayanan, S. Lalitha, and Deepa Gupta. "Affective state recognition using audio cues." Journal of Intelligent & Fuzzy Systems 36, no. 3 (March 26, 2019): 2147–54. http://dx.doi.org/10.3233/jifs-169926.
Full textLuneski, A., E. Konstantinidis, and P. D. Bamidis. "Affective Medicine." Methods of Information in Medicine 49, no. 03 (2010): 207–18. http://dx.doi.org/10.3414/me0617.
Full textSen, Debarati. "Affective Solidarities?" Anthropology in Action 23, no. 2 (June 1, 2016): 13–18. http://dx.doi.org/10.3167/aia.2016.230203.
Full textSmith, J. Carson, Margaret M. Bradley, and Peter J. Lang. "State anxiety and affective physiology: effects of sustained exposure to affective pictures." Biological Psychology 69, no. 3 (July 2005): 247–60. http://dx.doi.org/10.1016/j.biopsycho.2004.09.001.
Full textLynn, Spencer K., Xuan Zhang, and Lisa Feldman Barrett. "Affective state influences perception by affecting decision parameters underlying bias and sensitivity." Emotion 12, no. 4 (2012): 726–36. http://dx.doi.org/10.1037/a0026765.
Full textSwan, Alexander B., Avichg Cohen, Samantha R. Evans, and Barbara A. Drescher. "Influence of Taste Quality on Affective State." Psi Chi Journal of Psychological Research 18, no. 2 (2013): 61–66. http://dx.doi.org/10.24839/2164-8204.jn18.2.61.
Full textDissertations / Theses on the topic "Affective state"
GILTRI, MARTA. "From Real Affective States towards Affective Agents Modeling." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2023. https://hdl.handle.net/10281/404517.
Full textThe modeling of agents involving emotions and affective states constitutes a relevant discussion topic in the research concerning multi-agent simulations, especially because of how the introduction of affective parameters inside the modeling process could effectively make the produced simulations more realistic. In this research area, though, the modality in which parameters regulating the affective state of agents are introduced into models, so that the agents’ behaviour and actions are influenced by them, is always based on emotional models found in literature, or on physics theories and models usually involved for the modeling of pedestrians and crowds. The approach this work presents, then, aims at tackling this problem from the point of view of data, thus wanting to get to affective agent modeling starting from data coming from real people, acquired through ad-hoc experiments with the precise goal of observing reactions and behaviour to be later translated inside a model. In particular, the focus of this work falls on the research on pedestrians and walkability, observing different types of interactions involving pedestrians through four different experiment through which gather data able to describe the participants’ interactions to then implement them in the modeling step. The proposed experiments are executed in-vivo, in-vitro and online, observing pedestrian interactions with vehicles, moving obstacles and other pedestrians, gathering data regarding these interactions through physiological data and questionnaires made for profiling purposes and in order to have more information regarding the subjects’ behaviour and reactions. The gathered data is then used for modeling, firstly from the point of view of cellular automata and then passing on to the multi-agent systems perspective, showing how the information obtained from the data is introduced inside the models to be parametrized in affective parameters that, depending on the assigned values, could influence in a certain way the behaviour of the agents. After that, some simulation instances derived from the models are presented, as to observe how the affective parameters that were introduced in the models actively influence the behaviour of agents acting and moving in certain situations.
Svanborg, Pär. "State and trait measures in the affective disorders /." Stockholm, 1999. http://diss.kib.ki.se/1999/91-628-3675-7/.
Full textMota, Toledo Selene Atenea 1976. "Automated posture analysis for detecting learner's affective state." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/62371.
Full textIncludes bibliographical references (leaves 87-94).
As means of improving the ability of the computer to respond in a way that facilitates a productive and enjoyable learning experience, this thesis proposes a system for the automated recognition and dynamical analysis of natural occurring postures when a child is working in a learning-computer situation. Specifically, an experiment was conducted with 10 children between 8 and 11 years old to elicit natural occurring behaviors during a learning-computer task. Two studies were carried out; the first study reveals that 9 natural occurring postures are frequently repeated during the children's experiment; the second one shows that three teachers could reliably recognize 5 affective states (high interest, interest, low interest, taking a break and boredom). Hence, a static posture recognition system that distinguishes the set of 9 postures was built. This system senses the postures using two matrices of pressure sensors mounted on the seat and back of a chair. The matrices capture the pressure body distribution of a person sitting on the chair. Using Gaussian Mixtures and feed-forward Neural Network algorithms, the system classifies the postures in real time. It achieves an overall accuracy of 87.6% when it is tested with children's postures that were not included in the training set. Also, the children's posture sequences were dynamically analyzed using a Hidden Markov Model for representing each of the 5 affective states found by the teachers. As a result, only the affective states of high interest, low interest, and taking a break were recognized with an overall accuracy of 87% when tested with new postures sequences coming from children included in the training set. In contrast, when the system was tested with posture sequences coming from two subjects that were not included in the training set, it had an overall accuracy of 76%.
by Selene Atenea Mota Toledo.
S.M.
Anderson, Michael Harvey. "Translational paradigms to assess affective state in humans and animals." Thesis, University of Bristol, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.618815.
Full textMunari, Alessandra. "Exploring a simplified affective state test in the red junglefowl." Thesis, Linköpings universitet, Institutionen för fysik, kemi och biologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176743.
Full textAdumata, Kofi Agyemang. "Analysis of Affective State as Covariate in Human Gait Identification." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/4584.
Full textEvinc, Gulin S. "Maternal Personality Characteristics, Affective State, And Psychopathology In Relation To Children." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12605566/index.pdf.
Full textpersonality, depression, anxiety, affective state, and coping strategies) and childhood ADHD, Oppositional Defiant Disorder (ODD), and Conduct Disorder (CD) symptoms in children with and without the diagnosis of ADHD. Method: Data was obtained from 231 subjects including mothers of 77 children who were just diagnosed by Child Mental Health Departments of Hacettepe University or IMGE Child Mental Health Center and 154 children without any psychiatric diagnosis, who were receiving education from Nebahat Keskin Elementary School. Among 154 non-diagnosed subjects the ones who match best with the 77 ADHD group participants were chosen, considering ages of the children, income of the family, and education of the mother. Results and Discussion: (1) Psychometric Characteristics of the TBFI and CARSS were examined. The internal consistency coefficients of the TBFI varied from .51 (for Agreeableness) to .75 (for Neuroticism) and all subscales of CARSS had moderate to high degree of internal consistencies ranging from .65 (Conduct Disorder) to .92. (e.g., Attention Deficit). Additionally, concurrent validity of TBFI and criterion validity of CARSS were studied. Results revealed that TBFI had sufficient internal consistency and validity, and also revealed that CARSS was a highly reliable and valid measure, successfully differentiating the diagnosed group from the non-diagnosed group on each subscale. (2) Group differences on maternal characteristics were examined. Compared to non-diagnosed children, children with ADHD had mothers with higher Depression symptoms, higher Negative Affect, higher Neuroticism, lower Positive Affect. (3) Regression analyses, which were conducted separately for each group and the whole group, revealed that different maternal characteristics were associated with symptoms of diagnosed and non-diagnosed children. In general while symptom levels of children, who have ADHD diagnosis, was associated with higher maternal Negative and lower Positive Affect and higher Depression and Anxiety symptoms, and lower Extraversion scores
symptom level of Comparison children was associated more with Conscientiousness. These differences were explained by means of the fit between maternal characteristics and vulnerability, lower tolerance, lower adaptation, and compensation skills of children with ADHD (when compared to Comparison group). Results addressed the importance of maternal factors regarding its association with presence, and the severity of ADHD and comorbid symptoms of children.
Gardner, Yun Hui. "Counselors' affective responses to childhood sexual abuse disclosure." Diss., Mississippi State : Mississippi State University, 2008. http://library.msstate.edu/etd/show.asp?etd=etd-09072008-202450.
Full textTaylor, Lori Anne. "Cognitive function, affective state, and somatic symptoms related to blood sugar level." Thesis, University of British Columbia, 1987. http://hdl.handle.net/2429/26930.
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Psychology, Department of
Graduate
Day, Rachel Raedeke Tom. "Impact of Reading for Pleasure Versus School During Exercise on Affective State Responses." [Greenville, N.C.] : East Carolina University, 2010. http://hdl.handle.net/10342/2713.
Full textBooks on the topic "Affective state"
Suhail, Kausar. Seasonal variations in affective state in Asian and White populations. Birmingham: University of Birmingham, 1997.
Find full textKai, Shiming. Modeling Student Affective State Patterns during Self-Regulated Learning in Physics Playground. [New York, N.Y.?]: [publisher not identified], 2019.
Find full textCreating a caring classroom: A validated Washington State innovative education program. Longmont, CO: Sopris West, 1991.
Find full textYu, Sŏk-ch'un. Yugyo wa yŏn'go: Taehan Min'guk palchŏn ŭi sahoe, munhwajŏk tongnyŏk = The Korean economic developmental path : confucian tradition, affective network. Sŏul-si: Puk aen P'ip'ŭl, 2020.
Find full text1949-, Clark David C., and Fawcett Jan 1934-, eds. Anhedonia and affect deficit states. New York: PMA Pub. Corp., 1987.
Find full textEvans, Vicky Joy. Affective mood states and basketball performance. Sudbury, Ont: Laurentian University, Department of Psychology, 1986.
Find full textPlimpton, Lisa. Key state TANF policies affecting microenterprise. Washington, DC: Aspen Institute, 2000.
Find full textMark, Shepard. 1987 legislation affecting state agency rulemaking authority. [St. Paul, Minn.]: Research Dept., Minnesota House of Representatives, 1987.
Find full textBook chapters on the topic "Affective state"
Scherrmann, Jean-Michel, Kim Wolff, Christine A. Franco, Marc N. Potenza, Tayfun Uzbay, Lisiane Bizarro, David C. S. Roberts, et al. "Affective State." In Encyclopedia of Psychopharmacology, 36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_672.
Full textAbrams, David B., J. Rick Turner, Linda C. Baumann, Alyssa Karel, Susan E. Collins, Katie Witkiewitz, Terry Fulmer, et al. "Affective State." In Encyclopedia of Behavioral Medicine, 52. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_100046.
Full textJacobsen, Sigurd Eid, and Kjetil Klette-Bøhler. "Affective citizenship." In Citizenship and Social Exclusion at the Margins of the Welfare State, 123–33. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003347279-11.
Full textLi, Dongdong, Yingchun Yang, Zhaohi Wu, and Tian Wu. "Emotion-State Conversion for Speaker Recognition." In Affective Computing and Intelligent Interaction, 403–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11573548_52.
Full textDaly, Ian. "Affective Brain–Computer Interfacing and Methods for Affective State Detection." In Brain–Computer Interfaces Handbook, 147–64. Boca Raton : Taylor & Francis, CRC Press, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/9781351231954-8.
Full textScherer, Klaus R., and Arvid Kappas. "Primate Vocal Expression of Affective State." In Primate Vocal Communication, 171–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73769-5_13.
Full textCase, Sue-Ellen. "The Affective Performance of State Love." In Performance, Feminism and Affect in Neoliberal Times, 15–23. London: Palgrave Macmillan UK, 2017. http://dx.doi.org/10.1057/978-1-137-59810-3_2.
Full textKishimoto, Akira. "Prophylactic Efficacy of Carbamazepine in Affective Disorders." In Psychiatry the State of the Art, 473–77. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4613-2363-1_74.
Full textPrendinger, H., H. Dohi, H. Wang, S. Mayer, and M. Ishizuka. "Empathic Embodied Interfaces: Addressing Users’ Affective State." In Lecture Notes in Computer Science, 53–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24842-2_6.
Full textUhde, Thomas W., James C. Ballenger, and Robert M. Post. "Carbamazepine: Treatment of Affective Illness and Anxiety Syndromes." In Psychiatry the State of the Art, 479–84. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4613-2363-1_75.
Full textConference papers on the topic "Affective state"
Pardos, Zachary A., Ryan S. J. D. Baker, Maria O. C. Z. San Pedro, Sujith M. Gowda, and Supreeth M. Gowda. "Affective states and state tests." In the Third International Conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2460296.2460320.
Full textDrosou, Anastasios, Dimitrios Giakoumis, and Dimitrios Tzovaras. "Affective state aware biometric recognition." In 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC). IEEE, 2017. http://dx.doi.org/10.1109/ice.2017.8279940.
Full textDoyle, T. E., Z. Kucerovsky, and A. Ieta. "Affective State Control for Neuroprostheses." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.260531.
Full textDoyle, T. E., Z. Kucerovsky, and A. Ieta. "Affective State Control for Neuroprostheses." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.4397635.
Full textReddy, R. Pradeep, P. Murali Krishna, Veena Narayanan, and S. Lalitha. "Affective State Recognition using Image Cues." In 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE, 2018. http://dx.doi.org/10.1109/icacci.2018.8554441.
Full textZoghbi, Susana, Dana Kuliff, Elizabeth Croft, and Machiel Van der Loos. "On Line - affective state reporting device." In the 4th ACM/IEEE international conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1514095.1514191.
Full textAbd Latif, M. H., H. Md. Yusof, S. N. Sidek, and N. Rusli. "Thermal imaging based affective state recognition." In 2015 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS). IEEE, 2015. http://dx.doi.org/10.1109/iris.2015.7451614.
Full textMuriana, Luã Marcelo, José Valderlei d. Silva, Andressa Cristina dos Santos, and Maria Cecília C. Baranauskas. "Affective state, self-esteem and technology." In IHC '19: XVIII Brazilian Symposium on Human Factors in Computing Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3357155.3358474.
Full textGhazali, Aimi Shazwani, Shahrul Naim Sidek, and Saodah Wok. "Affective State Classification Using Bayesian Classifier." In 2014 5th International Conference on Intelligent Systems, Modelling and Simulation (ISMS). IEEE, 2014. http://dx.doi.org/10.1109/isms.2014.32.
Full textRovinska, Svetlana, and Naimul Khan. "Affective State Recognition with Convolutional Autoencoders." In 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2022. http://dx.doi.org/10.1109/embc48229.2022.9871958.
Full textReports on the topic "Affective state"
Morphett, Jane, Alexandra Whittaker, Amy Reichelt, and Mark Hutchinson. Perineuronal net structure as a non-cellular mechanism of affective state, a scoping review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, August 2021. http://dx.doi.org/10.37766/inplasy2021.8.0075.
Full textChhan, David, and Vernon Lawhern. An Evaluation of Tabular Neural Network Approaches for Human Affective State Classification from Physiological Signals. DEVCOM Army Research Laboratory, October 2022. http://dx.doi.org/10.21236/ad1182171.
Full textSwannack, Robyn, Alys Young, and Claudine Storbeck. A scoping review of deaf sign language users’ perceptions and experiences of well-being in South Africa. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, November 2022. http://dx.doi.org/10.37766/inplasy2022.11.0082.
Full textCampbell, William N. Factors Affecting the Defense-State Operational Partnership. Fort Belvoir, VA: Defense Technical Information Center, May 1999. http://dx.doi.org/10.21236/ada370689.
Full textHolm, G. F. Canada - United States transboundary activities affecting Manitoba. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1990. http://dx.doi.org/10.4095/298340.
Full textPopova, Marina, Victoria Chistova, and Alexandra Sherbakova. FACTORS AFFECTING HEALTH AND PROFESSIONAL ACTIVITIES OF TEACHERS IN SPHERE OF HIGHER EDUCATION. Science and Innovation Center Publishing House, 2019. http://dx.doi.org/10.12731/2658-6649-2019-11-3-2-58-64.
Full textTurner, R. S., D. W. Johnson, J. N. Elwood, W. Van Winkle, R. B. Clapp, M. L. Jones, D. R. Marmarek, K. W. Thornton, S. A. Gherinig, and J. L. Schnoor. Factors affecting the long-term response of surface waters to acidic deposition: state-of-the-science. Office of Scientific and Technical Information (OSTI), January 1986. http://dx.doi.org/10.2172/5808106.
Full textAfkhami, Shirin, and Máté Szalai. Evaluating the current state of the Saudi-Iranian reconciliation. Külügyi és Külgazdasági Intézet, 2021. http://dx.doi.org/10.47683/kkielemzesek.ke-2021.74.
Full textDolan, J. Daniel, and Angela Riegel. Proceedings, environmental issues affecting the forestry and forest products industries in the Eastern United States. Radnor, PA: U.S. Department of Agriculture, Forest Service, Northeastern Forest Experimental Station, 1996. http://dx.doi.org/10.2737/ne-gtr-219.
Full textEisemann, Eve, Catherine Thomas, Matthew Balazik, Damarys Acevedo-Mackey, and Safra Altman. Environmental factors affecting coastal and estuarine submerged aquatic vegetation (SAV). Engineer Research and Development Center (U.S.), October 2021. http://dx.doi.org/10.21079/11681/42185.
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