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Journal articles on the topic 'Affective computation'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Klesen, Martin, and Patrick Gebhard. "Affective Multimodal Control of Virtual Characters." International Journal of Virtual Reality 6, no. 4 (2020): 43–54. http://dx.doi.org/10.20870/ijvr.2007.6.4.3864.

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In this paper we report about the use of computer generated affect to control body and mind of cognitively modeled virtual characters. We use the computational model of affect ALMA that is able to simulate three different affect types in real-time. The computation of affect is based on a novel approach of an appraisal language. Both the use of elements of the appraisal language and the simulation of different affect types has been evaluated. Affect is used to control facial expressions, facial complexions, affective animations, posture, and idle behavior on the body layer and the selection of

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Kirke, Alexis. "Application of Musical Computing to Creating a Dynamic Reconfigurable Multilayered Chamber Orchestra Composition." Leonardo Music Journal 29 (December 2019): 55–61. http://dx.doi.org/10.1162/lmj_a_01064.

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With increasing virtualization and the recognition that today’s virtual computers are faster than hardware computers of 10 years ago, modes of computation are now limited only by the imagination. Pulsed Melodic Affective Processing (PMAP) is an unconventional computation protocol that makes affective computation more human-friendly by making it audible. Data sounds like the emotion it carries. PMAP has been demonstrated in nonmusical applications, e.g. quantum computer entanglement and stock market trading. This article presents a musical application and demonstration of PMAP: a dynamic reconf

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Poyo Solanas, Marta, Maarten Vaessen, and Beatrice de Gelder. "Computation-Based Feature Representation of Body Expressions in the Human Brain." Cerebral Cortex 30, no. 12 (2020): 6376–90. http://dx.doi.org/10.1093/cercor/bhaa196.

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Abstract Humans and other primate species are experts at recognizing body expressions. To understand the underlying perceptual mechanisms, we computed postural and kinematic features from affective whole-body movement videos and related them to brain processes. Using representational similarity and multivoxel pattern analyses, we showed systematic relations between computation-based body features and brain activity. Our results revealed that postural rather than kinematic features reflect the affective category of the body movements. The feature limb contraction showed a central contribution i

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Marenko, Betti. "Hybrid Animism: The Sensing Surfaces Of Planetary Computation." New Formations 104, no. 104 (2021): 183–97. http://dx.doi.org/10.3898/newf:103-104.08.2021.

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This article proposes to examine animism through the perspective provided by a notion of immanent matter drawn on process philosophy (Spinoza, Deleuze and Guattari), and quantum physics (Bohm, Rovelli). It then deploys this perspective to illuminate how planetary computation - the impact of digital media technologies on a planetary scale - is rewiring the cognitive, affective, perceptual capacities of the human. The article puts forward the notion of hybrid animism, as a speculative and imaginative philosophical fiction ('philoso-fiction') to grasp planetary computation as a sensorial pan-affe

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Marenko, Betti. "Hybrid Animism: The Sensing Surfaces Of Planetary Computation." New Formations 104, no. 104 (2021): 183–97. http://dx.doi.org/10.3898/newf:104-105.08.2021.

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This article proposes to examine animism through the perspective provided by a notion of immanent matter drawn on process philosophy (Spinoza, Deleuze and Guattari), and quantum physics (Bohm, Rovelli). It then deploys this perspective to illuminate how planetary computation - the impact of digital media technologies on a planetary scale - is rewiring the cognitive, affective, perceptual capacities of the human. The article puts forward the notion of hybrid animism, as a speculative and imaginative philosophical fiction ('philoso-fiction') to grasp planetary computation as a sensorial pan-affe

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Fazi, M. Beatrice. "Digital Aesthetics: The Discrete and the Continuous." Theory, Culture & Society 36, no. 1 (2018): 3–26. http://dx.doi.org/10.1177/0263276418770243.

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Aesthetic investigations of computation are stuck in an impasse, caused by the difficulty of accounting for the ontological discrepancy between the continuity of sensation and the discreteness of digital technology. This article proposes a theoretical position intended to overcome that deadlock. It highlights how an ontological focus on continuity has entered media studies via readings of Deleuze, which attempt to build a ‘digital aisthesis’ (that is, a theory of digital sensation) by ascribing a ‘virtuality’ to computation. This underpins, in part, the affective turn in digital theory. In con

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Kirke, Alexis, and Eduardo Miranda. "Pulsed Melodic Affective Processing: Musical structures for increasing transparency in emotional computation." SIMULATION 90, no. 5 (2014): 606–22. http://dx.doi.org/10.1177/0037549714531060.

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Hazer-Rau, Dilana, Lin Zhang, and Harald C. Traue. "A Workflow for Affective Computing and Stress Recognition from Biosignals." Engineering Proceedings 2, no. 1 (2020): 85. http://dx.doi.org/10.3390/ecsa-7-08227.

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Affective computing and stress recognition from biosignals have a high potential in various medical applications such as early intervention, stress management and risk prevention, as well as monitoring individuals’ mental health. This paper presents an automated processing workflow for the psychophysiological recognition of emotion and stress states. Our proposed workflow allows the processing of biosignals in their raw state as obtained from wearable sensors. It consists of five stages: (1) Biosignal Preprocessing—raw data conversion and physiological data triggering, relevant information sel

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V. S., Bakkialakshmi, and Sudalaimuthu Thalavaipillai. "AMIGOS: a robust emotion detection framework through Gaussian ResiNet." Bulletin of Electrical Engineering and Informatics 11, no. 4 (2022): 2142–50. http://dx.doi.org/10.11591/eei.v11i4.3783.

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Affective computing is the study of the deep extraction of emotional impacts that triggers humans for various reasons. Emotions directly reflect on human behaviour. The proposed analysis is inclined towards deep emotion extraction through a novel concept with less computation time. Designing a robust analysis model is focused on here. AMIGOS dataset on affect, and personality modelling is considered here. A Novel Gaussian ResiNet (GRN) algorithm is evaluated here. Any changes in the emotions of humans are the brainy response given to the actions faced. The features of the given physiological f

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Krause, Sascha, Mitja D. Back, Boris Egloff, and Stefan C. Schmukle. "Reliability of Implicit Self–Esteem Measures Revisited." European Journal of Personality 25, no. 3 (2011): 239–51. http://dx.doi.org/10.1002/per.792.

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This study investigated the internal consistencies and temporal stabilities of different implicit self–esteem measures. Participants ( N = 101) responded twice—with a time lag of 4 weeks—to five different tasks: the Implicit Association Test (IAT), the Brief Implicit Association Test (BIAT), the Affective Priming Task (APT), the Identification–Extrinsic Affective Simon Task (ID–EAST) and the Name–Letter Task (NLT). As expected, the highest reliability coefficients were obtained for the self–esteem IAT. Importantly, the internal consistencies and the temporal stabilities of the APT, the ID–EAST

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Uliasz, Rebecca. "Assemblages of desire." A Peer-Reviewed Journal About 8, no. 1 (2019): 82–93. http://dx.doi.org/10.7146/aprja.v8i1.115417.

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This paper considers the operations of affective technology within contemporary technocapitalism through affect theory. It is argued that affective technologies enter into power arrangements with political and corporate interests, altering an acting bodies’ affect — in the Spinozan definition, the “capacity to affect and be affected” — within social and political life. Affective computation uses machine learning techniques to ‘capture’ and quantify affective intensities in data form, automating a normalizing logic of division and categorization that classifies bodies, emotions, and objects. Af

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Rasmussen, Eric Dean. "Narrative and Affect in William Gillespie'sKeyhole FactoryandMorpheus: Biblionaut, or, Post-Digital Fiction for the Programming Era." CounterText 2, no. 2 (2016): 140–71. http://dx.doi.org/10.3366/count.2016.0050.

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Programmable computation is radically transforming the contemporary media ecology. What is literature's future in this emergent Programming Era? What happens to reading when the affective, performative power of executable code begins to provide the predominant model for creative language use? Critics have raised concerns about models of affective communication and the challenges a-semantic affects present to interpretive practices. In response, this essay explores links between electronic literature, affect theory, and materialist aesthetics in two works by experimental writer and publisher Wi

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Tang, Wenzhe, and Fang Zhang. "Research on Semisupervised Affective Interaction Technology in Immersive Virtual Teaching Environment." Wireless Communications and Mobile Computing 2022 (May 28, 2022): 1–7. http://dx.doi.org/10.1155/2022/2216638.

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The separation of time and space in immersive virtual teaching makes students unable to realize emotional communication, which may affect students’ mental health. In recent years, the use of affective computing technology to solve the problem of affective loss in distance education has become a key research topic. In order to realize the problem of emotion interaction in immersive virtual teaching, a semisupervised support vector machine- (SVM-) based affective interaction model was proposed. First, the natural language sequences of students in the virtual teaching environment are preprocessed

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Yu, Bo, Lin Ma, Haifeng Li, Lun Zhao, Hongjian Bo, and Xunda Wang. "Biological Computation Indexes of Brain Oscillations in Unattended Facial Expression Processing Based on Event-Related Synchronization/Desynchronization." Computational and Mathematical Methods in Medicine 2016 (2016): 1–17. http://dx.doi.org/10.1155/2016/8958750.

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Estimation of human emotions from Electroencephalogram (EEG) signals plays a vital role in affective Brain Computer Interface (BCI). The present study investigated the different event-related synchronization (ERS) and event-related desynchronization (ERD) of typical brain oscillations in processing Facial Expressions under nonattentional condition. The results show that the lower-frequency bands are mainly used to update Facial Expressions and distinguish the deviant stimuli from the standard ones, whereas the higher-frequency bands are relevant to automatically processing different Facial Exp

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Bhattacharya, Samit. "A Predictive Linear Regression Model for Affective State Detection of Mobile Touch Screen Users." International Journal of Mobile Human Computer Interaction 9, no. 1 (2017): 30–44. http://dx.doi.org/10.4018/ijmhci.2017010103.

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Emotion, being important human factor, should be considered to improve user experience of interactive systems. For that, we first need to recognize user's emotional state. In this work, the author proposes a model to predict the affective state of a touch screen user. The prediction is done based on the user's finger strokes. The author defined seven features on the basis of the strokes. The proposed predictor is a linear combination of these features, which the author obtained using a linear regression approach. The predictor assumes three affective states in which a user can be: positive, ne

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Pe-Than, Ei Pa Pa, Dion Hoe-Lian Goh, and Chei Sian Lee. "Why do people play human computation games? Effects of perceived enjoyment and perceived output quality." Aslib Journal of Information Management 67, no. 5 (2015): 592–612. http://dx.doi.org/10.1108/ajim-03-2015-0037.

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Purpose – The purpose of this paper is to investigate the effects of individuals’ perceived enjoyment and output quality on their intention to play human computation games (HCGs) for location-based content sharing. Design/methodology/approach – This study employed a cross-sectional survey method, and recruited 205 undergraduate and graduate students from a local university. Participants played the developed mobile HCG for content sharing named Seek, PLAy, SHare (SPLASH), and thereafter completed a questionnaire that measured their perceptions of enjoyment, output quality, and intention to play

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Akhtari, Nazli. "Remixing to Queer the Archives of Diaspora: Qajar Photography and the Persian Carpet." Camera Obscura: Feminism, Culture, and Media Studies 37, no. 3 (2022): 1–29. http://dx.doi.org/10.1215/02705346-10013590.

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Abstract This article reveals how engagements with the photographic archives of premodern Iran and the Persian carpet break open transtemporal, affective, and queer interplays in diaspora. Examining a digital remix of a photograph of a Qajar princess, ‘Ismat al-Dowlah, from the archives of nineteenth-century Iran, the article argues that the digital (mis)use of archives exposes what forms such as the Persian carpet and photography erase: each medium's close ties with power, labor, gender, and sexuality. It develops a relational approach to understandings of photography that highlights the perf

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Pawlak, Joanna, Monika Dmitrzak-Węglarz, Maria Skibinska, et al. "Association between suicidal behavior and genes of serotonergic system confirmed in men with affective disorders." Journal of Medical Science 83, no. 1 (2014): 7–16. http://dx.doi.org/10.20883/medical.e37.

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Introduction. Suicidal behavior is a crucial clinical problem in many groups of psychiatric patients. It occurs most often in affective disorders, psychotic disorders, substance abuse/dependence and personality disorders. Although not all patients with these diagnoses present suicidal behavior, it is very important to find the most vulnerable subgroups. The extensive number of studies shows that suicidal behavior (completed and attempted suicide) is associated with changes in functioning of serotonergic system. Tryptophan hydroxylase (TPH) is rate-limiting enzyme in biosynthesis of serotonin.

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Bhattarai, Pratistha. "Algorithmic Value: Cultural Encoding, Textuality, and the Myth of “Source Code”." Catalyst: Feminism, Theory, Technoscience 3, no. 1 (2017): 1–28. http://dx.doi.org/10.28968/cftt.v3i1.28786.

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In this article, I provide a Spivakian analysis of computational algorithms. Building upon Gayatri Spivak’s claim that the value coding of late capitalism extends beyond the economic realm to the cultural and affective, I show that it seeps into the algorithmic as well. The recent proliferation of algorithmic applications has been met by an increased scholarly interest in their underlying mechanisms. Several critics of predictive algorithms, for instance, proceed as though the racial and gender discrimination that a given algorithm enacts upon execution can be positively attributed to -- and m

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Goodfellow, Paul. "Elliptical Forms: Abstract Algorithmic Objects." Arts 12, no. 4 (2023): 172. http://dx.doi.org/10.3390/arts12040172.

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Contemporary systems painting directly engages with the material of contemporary culture, not necessarily the technological substrates of computation, social media, the Internet, and artificial intelligence, but the concept of the algorithm and the circulation and patterning of information at the limit of human apprehension. Systems painting emerged as part of the wider category of systems art in the 1960s—a heterogenous collection of artists who were focused on the exploration of social, ecological, and technological systems, and the processes that underpin them. These systemic fields increas

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Beller, Jonathan, and Ali Musleh. "The Question of Genocide." Social Text 42, no. 4 (2024): 81–102. https://doi.org/10.1215/01642472-11369803.

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Abstract This written dialogue studies how the “question of genocide” has infiltrated media ecology and come to permeate every meaning, gesture, and relation. Confronting Israel's escalation, since October 2023, of its genocidal siege on Palestine, two writers (a Palestinian and a Jew) engage in an experiment of thinking together that is at once critical, theoretical, affective, and emergent, in an effort to configure and, indeed, live part of their solidarity with the struggle for Palestinian liberation and self-determination. Necessarily, the roles of photography, semiotics, social media, co

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Murray, Sarah. "A Warm Meal and Kisses Too." Feminist Media Histories 8, no. 4 (2022): 55–84. http://dx.doi.org/10.1525/fmh.2022.8.4.55.

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Awareness of computers and computation rose considerably in the United States between 1939 and 1969. Press attention and public demonstrations showcased early robots and the push-button kitchen as two approachable yet fantastical examples of how computing processes might be applied to social life. Media coverage was hyperbolic and sensational, but also cautiously enthusiastic, skeptical, and sometimes dismissive. Public displays and print media consistently engaged signifiers of white, middle-class womanhood during the multidecade era when computers went from calculating machines to technologi

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Arwin, G. Avenido Mary Alicon D. De Guzman Kimberly Y. Pagalan Co-author: Leavic G. Maghanoy-Tajon. "Impact of Job Stress on Employees Commitment among the Faculty Members of Um Panabo College." International Journal of Business Management and Technology 6, no. 2 (2023): 240–48. https://doi.org/10.5281/zenodo.7676443.

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The main objective of this study is to establish the relationship between the impact of job stress and employees commitment among the faculty members of UM Panabo College. The researchers used the descriptive correlation design in complete enumeration. The statistical tools used in the study were the Mean and Pearson-r. The independent variable of the study was a job stress, its indicators were workload stress, job security stress, and shift work stress. On the other hand, the dependent variable of this study was commitment, its indicators were affective commitment, continuance commitment, and

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Fu, Eugene Yujun, Hong Va Leong, Grace Ngai, and Stephen C. F. Chan. "Automatic fight detection in surveillance videos." International Journal of Pervasive Computing and Communications 13, no. 2 (2017): 130–56. http://dx.doi.org/10.1108/ijpcc-02-2017-0018.

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Purpose Social signal processing under affective computing aims at recognizing and extracting useful human social interaction patterns. Fight is a common social interaction in real life. A fight detection system finds wide applications. This paper aims to detect fights in a natural and low-cost manner. Design/methodology/approach Research works on fight detection are often based on visual features, demanding substantive computation and good video quality. In this paper, the authors propose an approach to detect fight events through motion analysis. Most existing works evaluated their algorithm

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Prince Awuah Baffour, Henry Nunoo-Mensah, Eliel Keelson, and Benjamin Kommey. "A Survey on Deep Learning Algorithms in Facial Emotion Detection and Recognition." Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi 7, no. 1 (2022): 24–32. http://dx.doi.org/10.25139/inform.v7i1.4563.

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Facial emotion recognition (FER) forms part of affective computing, where computers are trained to recognize human emotion from human expressions. Facial Emotion Recognition is very necessary for bridging the communication gap between humans and computers because facial expressions are a form of communication that transmits 55% of a person's emotional and mental state in a total face-to-face communication spectrum. Breakthroughs in this field also make computer systems (robotic systems) better serve or interact with humans. Research has far advanced for this cause, and Deep learning is at its

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Baffour, Prince Awuah, Henry Nunoo-Mensah, Eliel Keelson, and Benjamin Kommey. "A Survey on Deep Learning Algorithms in Facial Emotion Detection and Recognition." Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi 7, no. 1 (2022): 24–32. http://dx.doi.org/10.25139/inform.v7i1.4282.

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Facial emotion recognition (FER) forms part of affective computing, where computers are trained to recognize human emotion from human expressions. Facial Emotion Recognition is very necessary for bridging the communication gap between humans and computers because facial expressions are a form of communication that transmits 55% of a person's emotional and mental state in a total face-to-face communication spectrum. Breakthroughs in this field also make computer systems (robotic systems) better serve or interact with humans. Research has far advanced for this cause, and Deep learning is at its

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M. Zainurroziqin and Joko Wibowo. "EFFECTIVENESS OF USING SMALL GROUP DISCUSSION IN TEACHING WRITING HORTATORY EXPOSITION TEXT FOR SENIOR HIGH SCHOOL." English Language Teaching Journal 1, no. 1 (2021): 32–39. http://dx.doi.org/10.35897/eltj.v1i1.571.

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This research is aimed at analyzing the effectiveness of the Small Group Discussion/Interaction technique in teaching Writing Hortatory Exposition Text. This research is True experimental with pretest and posttest design. The population of this research was the eleventh graders students of SMA RaudlatulUlum Gondanglegi Malang, Indonesia in the academic 2018-2019. Students’ writing achievement was measured by an objective test. The findings of the research revealed a statistically significant effect between writing score and post-tests on their writing test. Based on the statistical computation

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Dadulla, Jovenel B., and Joel D. Potane. "Self-Concept and English Oral Proficiency of Senior High School Students." New Educational Review 69, no. 3 (2022): 170–79. http://dx.doi.org/10.15804/tner.2022.69.3.13.

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The study intended to determine if self-concept predicts senior high school students’ English oral proficiency level. The correlational research design was used to describe the relationship of the variables. Forty (40) students were randomly chosen as a sample from the population. A self-concept questionnaire and an oral proficiency interview were administered. The data were analysed using frequency count, computation of mean, Pearson product-moment correlation, analysis of variance (ANOVA), and simple linear regression analysis. The findings revealed that the respondents have an above-average

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Tahmid, Mohammad, Khoirul Anwar, and Ulfah Marifah. "A Correlation Study On Students’ Self Esteem And Speaking Ability Of 8th Grade At SMP IT Al Ibrah Gresik." Journal of English Teaching, Literature, and Applied Linguistics 5, no. 2 (2022): 94. http://dx.doi.org/10.30587/jetlal.v5i2.3741.

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Speaking is one of important way to communicate an ideas and message orally from the speaker to the receiver and the receiver can understand what the speaker talk about. Meanwhile, to reach degree of good speaker there is an aspect that need to give intention, that is self-esteem. Self-esteem becomes the important factor of human affective domain, that has been found to play an extremely important role while conducting communication activities. Here, the researcher has purpose to know whether there is significant correlation between students’ self-esteem and speaking ability or not. The respon

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Durado, Joseph, and Alice Comahig. "Upper-Primary Thai Students’ Engagement, English Proficiency, and Mathematics Performance." Psychology and Education: A Multidisciplinary Journal 36, no. 8 (2025): 906–20. https://doi.org/10.70838/pemj.360806.

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Mathematics perform Challenges hindered mathematics performance among upper-primary Thai students in reasoning and problem-solving within bilingual education. This descriptive-correlational study examined the influence of student engagement and English proficiency on mathematics performance and identified key predictors of success. Data were collected through standardized English and mathematics tests and a student engagement survey and analyzed using descriptive statistics, correlation, and regression. Findings revealed that students exhibited high behavioral engagement (M = 4.72, SD = 1.08)

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Butt, Muhammad A., Faisal Riaz, Yasir Mehmood, and Somyyia Akram. "REEEC-AGENT: human driver cognition and emotions-inspired rear-end collision avoidance method for autonomous vehicles." SIMULATION 97, no. 9 (2021): 601–17. http://dx.doi.org/10.1177/00375497211004721.

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Rear-end collision detection and avoidance is one of the most crucial driving tasks of self-driving vehicles. Mathematical models and fuzzy logic-based methods have recently been proposed to improve the effectiveness of the rear-end collision detection and avoidance systems in autonomous vehicles (AVs). However, these methodologies do not tackle real-time object detection and response problems in dense/dynamic road traffic conditions due to their complex computation and decision-making structures. In our previous work, we presented an affective computing-inspired Enhanced Emotion Enabled Cogni

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Misra, Nishi, Apoorva Ghanekar, and Arunima Gupta. "Affect and its Assessment in Personnel Selection." Defence Life Science Journal 3, no. 4 (2018): 316–19. http://dx.doi.org/10.14429/dlsj.3.13401.

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A sizable amount of literature supports the impact of positive and negative affectivity on organisational effectiveness. Higher positive affectivity is associated with experiencing a preponderance of positive feeling states, while higher levels of negative affectivity are associated with negative feelings. Right person for the right job can be selected if employers consider these emotional dispositions during the selection process. The present study was undertaken with aims to develop a Word Association Test with objective scoring system for assessment of positive and negative affect. A compre

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Rosemarie, Velik. "BRAIN Journal - Quo vadis, Intelligent Machine?" BRAIN - Broad Research in Artificial Intelligence and Neuroscience 1, no. 4 (2010): 13–22. https://doi.org/10.5281/zenodo.1037355.

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ABSTRACT Artificial Intelligence (AI) is a branch of computer science concerned with making computers behave like humans. At least this was the original idea. However, it turned out that this was no easy task to solve. This article aims to give a comprehensible review on the last 60 years of artificial intelligence taking a philosophical viewpoint. It is outlined what happened so far in AI, what is currently going on in this research area, and what can be expected in the future. The goal is to mediate an understanding for the developments and changes in thinking in the course of time about how

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Rao, N. J. "Outcome-based Education: An Outline." Higher Education for the Future 7, no. 1 (2020): 5–21. http://dx.doi.org/10.1177/2347631119886418.

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Things we can do because of learning are called outcomes of learning. Outcome based education (OBE) was propounded by William Spady in the 90s to bring the focus of formal education to what the students learn rather than what they were taught. OBE is a system of education giving priority to ends, purpose, accomplishments, and results. All decisions about the curriculum, assessment, and instruction are driven by the exit learning outcomes the students should display at the end of a program or a course. This paper presents a method of writing outcomes for General higher education programs. Outco

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Liu, Xinyu, Chenhong Cao, and Shengyu Duan. "A Low-Power Hardware Architecture for Real-Time CNN Computing." Sensors 23, no. 4 (2023): 2045. http://dx.doi.org/10.3390/s23042045.

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Convolutional neural network (CNN) is widely deployed on edge devices, performing tasks such as objective detection, image recognition and acoustic recognition. However, the limited resources and strict power constraints of edge devices pose a great challenge to applying the computationally intensive CNN models. In addition, for the edge applications with real-time requirements, such as real-time computing (RTC) systems, the computations need to be completed considering the required timing constraint, so it is more difficult to trade off between computational latency and power consumption. In

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Moore, Phoebe V. "The mirror for (artificial) intelligence in capitalism." Capital & Class 44, no. 2 (2020): 191–200. http://dx.doi.org/10.1177/0309816820902040.

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‘The mirror for (artificial) intelligence in capitalism’ expands on the historical episodes outlined in the article by Engster and Moore in the current Special Issue, to develop the historical materialist critique of the history of ideas leading up to and during the eras of artificial intelligence, but also as a way to critique the contemporary moment where machines are ascribed autonomous intelligence. Specifically, the history of the ideational manufacturing of human intelligence demonstrates a pattern of interest in calculation and computation, intelligent human and machinic behaviours that

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Chang, Yu-Ping, Aditya Kumar Dwibedi, Suryakanth Joshi, and Sreyasee Das Bhattacharjee. "DEVELOPMENT OF AN AI-POWERED EMOTIONALLY INTELLIGENT, INTERACTIVE AGENT PROTOTYPE TO SUPPORT INFORMAL CAREGIVERS." Innovation in Aging 7, Supplement_1 (2023): 1019. http://dx.doi.org/10.1093/geroni/igad104.3274.

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Abstract Long-term informal caregiving for older adults with dementia is exhausting and poses risks to caregivers’ health outcomes. Most informal caregivers are not well prepared for their new role, facing various challenges and receiving limited support. With the advent of artificial intelligence (AI) and information and communication technologies (ICTs), assistive technology is increasingly useful for supporting caregivers. However, limited research assesses the potential for AI to facilitate a privacy-preserving computation environment to provide proactive assistance to caregivers. This pro

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Schmidt, Louis A., and Jay Schulkin. "Toward a Computational Affective Neuroscience." Brain and Cognition 42, no. 1 (2000): 95–98. http://dx.doi.org/10.1006/brcg.1999.1172.

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ÇINAR, Feyza, and Abdullah Çağrı BIBER. "The relationship between students' computational estimation skills and mathematical self-efficiency." Acta Didactica Napocensia 17, no. 1 (2024): 84–97. http://dx.doi.org/10.24193/adn.17.1.7.

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The factors related to estimating skills are twofold: cognitive and affective perspectives. Perception of self-efficacy in mathematics, one of the affective factors, is essential for the individual's capacity, abilities, and self-belief in mathematics for the mathematics course. The present study examined the relationship between students' computational estimation skills and mathematical self-efficacy perceptions. For this purpose, two sets of instruments were used as data collection tools: a computational estimation skills task and a mathematical self-efficacy perceptions scale. A correlation

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Лустенков, М. Е., Mihail Lustenkov, Екатерина Лустенкова, and :Ekaterina Lustenkova. "SPHERICAL ROLLER GEAR WITH DOUBLE-ROW PINION: POWER COMPUTATIONS AND PERFORMANCE COMPUTATION." Bulletin of Bryansk state technical university 2019, no. 5 (2019): 32–43. http://dx.doi.org/10.30987/article_5cda64cd19bec2.74771159.

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The dependences of forces affecting basic elements of spherical roller gears with a double-row pinion from engagement parameters and friction coefficients are defined. The power dependences obtained allow estimating spherical roller gear (SRG) elements loading and defining optimum values of basic sphere radii and center profile amplitudes at a specified reduction ratio according to the criterion of minimum power loss in an engagement. It is defined that the performance of the SRG with the double-row pinions is comparable with the performance of planetary gear drives with two-ring gear pinions.

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Rosenberg, Ari, Jaclyn Sky Patterson, and Dora E. Angelaki. "A computational perspective on autism." Proceedings of the National Academy of Sciences 112, no. 30 (2015): 9158–65. http://dx.doi.org/10.1073/pnas.1510583112.

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Autism is a neurodevelopmental disorder that manifests as a heterogeneous set of social, cognitive, motor, and perceptual symptoms. This system-wide pervasiveness suggests that, rather than narrowly impacting individual systems such as affection or vision, autism may broadly alter neural computation. Here, we propose that alterations in nonlinear, canonical computations occurring throughout the brain may underlie the behavioral characteristics of autism. One such computation, called divisive normalization, balances a neuron’s net excitation with inhibition reflecting the overall activity of th

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Zhang, Hanxin, Atif Khan, Qi Chen, Henrik Larsson, and Andrey Rzhetsky. "Do psychiatric diseases follow annual cyclic seasonality?" PLOS Biology 19, no. 7 (2021): e3001347. http://dx.doi.org/10.1371/journal.pbio.3001347.

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Seasonal affective disorder (SAD) famously follows annual cycles, with incidence elevation in the fall and spring. Should some version of cyclic annual pattern be expected from other psychiatric disorders? Would annual cycles be similar for distinct psychiatric conditions? This study probes these questions using 2 very large datasets describing the health histories of 150 million unique U.S. citizens and the entire Swedish population. We performed 2 types of analysis, using “uncorrected” and “corrected” observations. The former analysis focused on counts of daily patient visits associated with

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Melnikova, E., and I. Surov. "Legal Status of Artificial Intelligence from Quantum-Theoretic Perspective." BRICS Law Journal 10, no. 4 (2023): 5–34. http://dx.doi.org/10.21684/2412-2343-2023-10-4-5-34.

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Massive inclusion of artificial intelligence (AI) in the technosphere and electronic governments urges an update in legal regulation of these and related areas. The issue converges on the key question of whether AI can be endowed with legal personhood and capacity. Opposing views in this respect build on hardly compatible ethics and largely outdated scientific grounds with a clear perspective for deep cultural antagonisms and further fragmentation of the world. We contribute to this debate from the perspective of quantum cognitive science and show how it can resolve some of the current impasse

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Yang, Renyu, Junzhong Shen, Mei Wen, Yasong Cao, and Yuhang Li. "Integration of Single-Port Memory (ISPM) for Multiprecision Computation in Systolic-Array-Based Accelerators." Electronics 11, no. 10 (2022): 1587. http://dx.doi.org/10.3390/electronics11101587.

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On-chip memory is one of the core components of deep learning accelerators. In general, the area used by the on-chip memory accounts for around 30% of the total chip area. With the increasing complexity of deep learning algorithms, it will become a challenge for the accelerators to integrate much larger on-chip memory responding to algorithm needs, whereas the on-chip memory for multiprecision computation is required by the different precision (such as FP32, FP16) computations in training and inference. To solve it, this paper explores the use of single-port memory (SPM) in systolic-array-base

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Broekens, Joost, Tibor Bosse, and Stacy C. Marsella. "Challenges in Computational Modeling of Affective Processes." IEEE Transactions on Affective Computing 4, no. 3 (2013): 242–45. http://dx.doi.org/10.1109/t-affc.2013.23.

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Yadati, Karthik, Harish Katti, and Mohan Kankanhalli. "CAVVA: Computational Affective Video-in-Video Advertising." IEEE Transactions on Multimedia 16, no. 1 (2014): 15–23. http://dx.doi.org/10.1109/tmm.2013.2282128.

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Rodríguez, Luis-Felipe, Félix Ramos, and Yingxu Wang. "Cognitive Computational Models of Emotions and Affective Behaviors." International Journal of Software Science and Computational Intelligence 4, no. 2 (2012): 41–63. http://dx.doi.org/10.4018/jssci.2012040103.

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Emotions are one of the important subconscious mechanisms that influence human behaviors, attentions, and decision making. The emotion process helps to determine how humans perceive their internal status and needs in order to form consciousness of an individual. Emotions have been studied from multidisciplinary perspectives and covered a wide range of empirical and psychological topics, such as understanding the emotional processes, creating cognitive and computational models of emotions, and applications in computational intelligence. This paper presents a comprehensive survey of cognitive an

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Brown, Nicole Marie. "Methodological Cyborg as Black Feminist Technology: Constructing the Social Self Using Computational Digital Autoethnography and Social Media." Cultural Studies ↔ Critical Methodologies 19, no. 1 (2018): 55–67. http://dx.doi.org/10.1177/1532708617750178.

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This article reimagines the quantified self within the context of Black feminist technologies. Bringing computation and autoethnographic methods together using a methodology I call computational digital autoethnography, I harvest my social media data to create a corpus for analysis. I apply topic modeling to these data to uncover themes that are connected with broader societal issues affecting African American women. Applying a computational autoethnographic approach to a researcher’s own digitized data allows for yet another dimension of mixed-methods research. This radical intervention has t

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Sartori, Andreza, Dubravko Culibrk, Yan Yan, Remo Job, and Nicu Sebe. "Computational Modeling of Affective Qualities of Abstract Paintings." IEEE MultiMedia 23, no. 3 (2016): 44–54. http://dx.doi.org/10.1109/mmul.2016.20.

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D’Mello, Sidney, Arvid Kappas, and Jonathan Gratch. "The Affective Computing Approach to Affect Measurement." Emotion Review 10, no. 2 (2017): 174–83. http://dx.doi.org/10.1177/1754073917696583.

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Affective computing (AC) adopts a computational approach to study affect. We highlight the AC approach towards automated affect measures that jointly model machine-readable physiological/behavioral signals with affect estimates as reported by humans or experimentally elicited. We describe the conceptual and computational foundations of the approach followed by two case studies: one on discrimination between genuine and faked expressions of pain in the lab, and the second on measuring nonbasic affect in the wild. We discuss applications of the measures, analyze measurement accuracy and generali

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