Relevant bibliographies by topics / Personality Computing

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Personality Computing'

Author: Grafiati
Published: 11 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Personality Computing"

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Vinciarelli, Alessandro, and Gelareh Mohammadi. "More Personality in Personality Computing." IEEE Transactions on Affective Computing 5, no. 3 (2014): 297–300. http://dx.doi.org/10.1109/taffc.2014.2341252.

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Vinciarelli, Alessandro, and Gelareh Mohammadi. "A Survey of Personality Computing." IEEE Transactions on Affective Computing 5, no. 3 (2014): 273–91. http://dx.doi.org/10.1109/taffc.2014.2330816.

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Johnson, Richard D., Natasha Veltri, and Jason B. Thatcher. "Beliefs and Attributions toward Computing Technology." Journal of Organizational and End User Computing 27, no. 3 (2015): 27–54. http://dx.doi.org/10.4018/joeuc.2015070102.

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This study critiques and extends the work of , who investigated the relations between social cues in an interface, user personality, user beliefs about the social role and capabilities of computers, and the attributions of responsibility users made for their interactions and outcomes with a computer. In this study, rather than examining the simple, direct effects investigated previously, we examine the moderating role of social cues in the interface. In addition, building upon recent findings from psychology, the authors assess personality traits individually, rather than aggregating them. To
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Mahamad Amin, Nurrul Akma, Nilam Nur Amir Sjarif, and Siti Sophiayati Yuhaniz. "A Review of Convolutional Neural Network Model for Audio-Visual Features Extraction in Personality Traits Recognition." International Journal of Innovative Computing 15, no. 1 (2025): 45–52. https://doi.org/10.11113/ijic.v15n1.498.

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In the field of personality computing research, the analysis on audio-visual input is predominantly used to detect human personality behaviors. With the advancement of computer vision technology, there has been significant enhancement in personality computing. Personality trait recognition is one of the applications under personality computing where the machine can analyze human behaviors and recognize personality traits via video analysis. In video input, there are different audio-visual features characteristics, consisting of visual (images) and audio (sounds) elements. Therefore, it is crit
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Chuanqin, Zheng. "Computing Personality Trait Based on Multi-source." Journal of Physics: Conference Series 1955, no. 1 (2021): 012100. http://dx.doi.org/10.1088/1742-6596/1955/1/012100.

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Wisnubroto, Petrus. "PENGARUH FAKTOR DEMOGRAFI DAN PERSONALITY TERHADAP KEAHLIAN DALAM END USER COMPUTING (Studi Kasus Guru dan Karyawan Administrasi pada Sekolah Menengah Atas Negeri di Kotamadya Yogyakarta)." Conference SENATIK STT Adisutjipto Yogyakarta 1 (December 3, 2013): 1. http://dx.doi.org/10.28989/senatik.v1i0.54.

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This study aims to analyze the influence of demographic factors ( age , gender , education , experience ) and personality factors ( computer anxiety , computer attitude , math anxiety ) to the end user computing expertise of personnel either partially or simultaneously . Models the influence of the demographic variables and personality skills in end user computing research model replicated from Harrison and Rainer (1992 ) and the research model and Gudono Rifa (1998). The study was conducted on teacher and administrative employees of State High School I to XI in Yogyakarta Municipality conside
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Nunes, Maria Augusta Silveira Netto. "Psychological Aspects in lifelike synthetic agents: Towards to the Personality Markup Language (A Brief Survey)." RENOTE 7, no. 3 (2009): 390–400. http://dx.doi.org/10.22456/1679-1916.13581.

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This paper describes how human psychological aspects have been used in lifelike synthetic agents in order to provide believability during the human-computer interaction. We describe a brief survey of applications where Affective Computing Scientists have applied psychological aspects, like Emotion and Personality. Based on those aspects we describe the effort done by Affective Computing scientists in order to create a Markup Language to express and standardize Emotions. Because they have not yet concentrated their effort on Personality, here, we propose a starting point to create a Markup Lang
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Mahamad Amin, Nurrul Akma, Nilam Nur Amir Sjarif, and Siti Sophiayati Yuhaniz. "Convolutional Neural Network Model for Facial Feature Extraction in Personality Traits Recognition." Open International Journal of Informatics 11, no. 2 (2023): 133–40. http://dx.doi.org/10.11113/oiji2023.11n2.281.

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Personality computing lies on the effort of designing computational models to recognize personality traits from different sources of input such as visual (image), verbal (text) and vocal (audio). To recognize personality traits from facial images, the recognition model needs to extract facial features such as eyes, mouth, nose, etc. Facial features are relevant for personality judgements where they are providing information about human expression and behaviours. For example, by detecting eye’s movement, dimension and size, machines can describe people’s personality. Basically, people with high
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Yang, Guo Liang, Jin Hui Zhang, and Hui Sun. "Design of Emotional Interaction System Based on Affective Computing Model." Applied Mechanics and Materials 198-199 (September 2012): 367–73. http://dx.doi.org/10.4028/www.scientific.net/amm.198-199.367.

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An emotional interaction system is designed by using the theories about affective computing in this paper, which includes the emotional information capturing, machine emotional model and emotional expression. This paper focuses on the problem of building machine emotional model, not only gives the basic definitions of personality space, mood space, and emotion space, but also establishes the quantitative relationship of personality mood and emotion. At last, this paper builds a machine affective model which can reflect the transformation law of the mood, emotion and personality. Related simula
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Bhushan, Shashi. "An Efficient Soft Computing Approach for Text Identification using Artificial Intelligence Model." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 3860–66. http://dx.doi.org/10.22214/ijraset.2021.35766.

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This paper presents an enhanced system in the field of text identification using Soft computing techniques. The model designed in this work analyzes the blogs or input text and classifies the personality into five major categories; Neuroticism, Extraversion, Openness, Conscientiousness and Agreeableness. The blog or text is first passed through POS tagger then a feature vector matrix is generated according to the attributes of the personality chart. Each column of FVM is calculated in its domain that improves the final result of personality identification. The result of the proposed model is i
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Dissertations / Theses on the topic "Personality Computing"

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Giannoutsos, Evangelos. "Stress, attitudes and personality in computing in students (1990-1993)." Thesis, Durham University, 2004. http://etheses.dur.ac.uk/4080/.

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The present work was concerned with the initial attitudes of users (students) towards computers, the relation of these attitudes to prior experience, stress, performance and the personality of the individual, and the extent to which changes come about as the result of experience gained from a type of computer course. The extent to which individuals found computing stressfull was investigated. Studies were conducted employing questionnaire methods to provide data, over a three year period, on three cohorts of students taking psychology practical sessions which had a computing component. The cha
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Albert-von, der Gönna Johannes [Verfasser], and Markus [Akademischer Betreuer] Bühner. "Personality and computing : zum Zusammenspiel von Mensch und Maschine / Johannes Albert-von der Gönna ; Betreuer: Markus Bühner." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2017. http://d-nb.info/1126968242/34.

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Albert-von, der Gönna Johannes Verfasser], and Markus [Akademischer Betreuer] [Bühner. "Personality and computing : zum Zusammenspiel von Mensch und Maschine / Johannes Albert-von der Gönna ; Betreuer: Markus Bühner." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2017. http://nbn-resolving.de/urn:nbn:de:bvb:19-204498.

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Pereira, Daniela Forgiarini. "Planejamento de carreira : estudo exploratório na modalidade a distância." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2013. http://hdl.handle.net/10183/87981.

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O estudo proposto nessa Tese busca verificar como uma intervenção de carreira não presencial pode auxiliar o participante em sua planificação de metas em relação à carreira, relacionando os resultados às características de personalidade e aos estados afetivos. A motivação para o desenvolvimento deste trabalho interdisciplinar (Educação, Psicologia e Computação Afetiva) advém da dinamicidade do atual contexto do mercado de trabalho e da necessidade de ampliar o acesso a esse tipo de intervenção. As principais teorias que suportam a pesquisa são as de Super, Savickas, Holland, Scherer e o modelo
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MORAES, Ernandes Soares. "Affinity: um sistema baseado em contexto e afinidade para a recomendação de pessoas em ambientes EaD." Universidade Federal de Pernambuco, 2015. https://repositorio.ufpe.br/handle/123456789/16329.

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Submitted by Fabio Sobreira Campos da Costa (fabio.sobreira@ufpe.br) on 2016-04-06T12:05:28Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Dissertação Final Ernandes.pdf: 2307839 bytes, checksum: ac0260ae46a3bc18b2fa01e5d1fcf0b6 (MD5)<br>Made available in DSpace on 2016-04-06T12:05:28Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Dissertação Final Ernandes.pdf: 2307839 bytes, checksum: ac0260ae46a3bc18b2fa01e5d1fcf0b6 (MD5) Previous issue date: 2015-07-24<br>A modalidade de ensino
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Aouidad, Aveline. "Conséquences développementales de la maltraitance infantile : de la résilience à la psychopathologie. Exemple du trouble de personnalité borderline à l'adolescence Borderline Personality Disorder and Prior Suicide Attempts Define a Severity Gradient Among Hospitalized Adolescent Suicide Attempters How Do Stress Exposure and Stress Regulation Relate to Borderline Personality Disorder Adolescents With Borderline Personality Disorder Show a Higher Response to Stress but a Lack of Self-Perception: Evidence Through Affective Computing Childhood Maltreatment and Earlier Pubertal Timing Moderate Brain Reward System Structure and Function During Adolescence." Thesis, université Paris-Saclay, 2021. http://www.theses.fr/2021UPASL028.

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La maltraitance infantile (MI) a des conséquences nombreuses et durables sur le développement des enfants et des adolescents allant de la résilience à la psychopathologie. L'objectif de cette thèse est d'étudier différentes hypothèses pouvant sous-tendre ces conséquences multiples à l'adolescence. Cette dernière est en effet une période charnière caractérisée par des remaniements hormonaux et neuro-biologiques majeurs et par l'apparition de nombreuses maladies psychiatriques. De plus, le déclenchement pubertaire est influencé par la MI. Nous avons fait l'hypothèse d'altérations du système de l
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Faur, Caroline. "Approche computationnelle du regulatory focus pour des agents interactifs : un pas vers une personnalité artificielle." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLS352/document.

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L'essor de l'informatique affective ouvre aujourd'hui la porte à la création de dispositifs artificiels dotés d'une forme d'intelligence sociale et émotionnelle. L’étude de l'interaction homme-machine dans ce contexte offre de nombreuses pistes de recherche. Parmi celles-ci se trouve la question de la personnalité : comment il est possible de modéliser certaines caractéristiques d’une personnalité artificielle ? Comment ces caractéristiques influencent le déroulement de l'interaction entre l'homme et la machine ? Cette question globale soulève plusieurs questions de recherche : Comment définir
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Chetsumon, Sireerat. "Attitudes of extension agents towards expert systems as decision support tools in Thailand." Lincoln University, 2005. http://hdl.handle.net/10182/1371.

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It has been suggested 'expert systems' might have a significant role in the future through enabling many more people to access human experts. It is, therefore, important to understand how potential users interact with these computer systems. This study investigates the effect of extension agents' attitudes towards the features and use of an example expert system for rice disease diagnosis and management(POSOP). It also considers the effect of extension agents' personality traits and intelligence on their attitudes towards its use, and the agents' perception of control over using it. Answers to
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Rosenbaum, Mark H. "Identifying Unethical Personally Identifiable Information (PII) Privacy Violations Committed by IS/IT Practitioners: A Comparison to Computing Moral Exemplars." NSUWorks, 2015. http://nsuworks.nova.edu/gscis_etd/29.

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In some instances, Information Systems and Information Technology (IS/IT) practitioners have been noted to commit privacy violations to Personally Identifiable Information (PII). However, computing exemplars, due to their notable dispositional Hallmark Features of morality, understandings of ethical abstractions, and other components that comprise their virtuous makeups, are theoretically less likely to commit privacy violations to PII. This research attempted to verify if those IS/IT practitioners who identify with some of the Hallmark Features of moral and computing exemplar were less willin
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Waddell, Christopher Duncan. "The relationship between individual variables and attitudes towards the personal use of computers." Diss., 1994. http://hdl.handle.net/10500/17835.

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In current times, to function successfully in the work environment, the ability to use a computer is essential. The introduction of computers into organisations has often met with resistance. The reason for this resistance must be identified and overcome if businesses are to realise the productivity gains of full computer usage. On the basis of the abovementioned problem the objective of this study is to test the relationship between age, sex, locus of control and personality type and attitudes toward computer use. A theoretical investigation was carried out to gather information on the vari
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Books on the topic "Personality Computing"

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Dennett, Daniel Clement. Brainchildren: Essays on designing minds. MIT Press, 1998.

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Dennett, Daniel Clement. Brainchildren: Essays on designing minds. MIT Press, 1998.

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Wiredu, Gamel O. Mobile Computer Usability: An Organizational Personality Perspective. Springer, 2013.

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Wiredu, Gamel O. Mobile Computer Usability: An Organizational Personality Perspective. Springer London, Limited, 2013.

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Wiredu, Gamel O. O. Mobile Computer Usability: An Organizational Personality Perspective. Springer, 2016.

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Ryoo, Jean J., Jane Margolis, and Charis JB. Power On! The MIT Press, 2022. http://dx.doi.org/10.7551/mitpress/14166.001.0001.

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A diverse group of teenage friends learn how computing can be personally and politically empowering and why all students need access to computer science education. This lively graphic novel follows a diverse group of teenage friends as they discover that computing can be fun, creative, and empowering. Taylor, Christine, Antonio, and Jon seem like typical young teens—they communicate via endless texting, they share jokes, they worry about starting high school, and they have each other's backs. But when a racially-biased artificial intelligence system causes harm in their neighborhood, they sudd
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Book chapters on the topic "Personality Computing"

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Cabada, Ramón Zatarain, Héctor Manuel Cárdenas López, and Hugo Jair Escalante. "Personality Recognition Models." In Multimodal Affective Computing. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32542-7_14.

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Kaswan, Kuldeep Singh, Jagjit Singh Dhatterwal, and Anand Nayyar. "Character Computing in Digital Personality." In Digital Personality: A Man Forever. CRC Press, 2024. http://dx.doi.org/10.1201/9781032628431-12.

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Cabada, Ramón Zatarain, Héctor Manuel Cárdenas López, and Hugo Jair Escalante. "Building Resources for Personality Recognition." In Multimodal Affective Computing. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32542-7_12.

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Cabada, Ramón Zatarain, Héctor Manuel Cárdenas López, and Hugo Jair Escalante. "Multimodal Personality Recognition for Affective Computing." In Multimodal Affective Computing. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32542-7_15.

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Solinger, Carrie, Leanne Hirshfield, Stuart Hirshfield, Rachel Friendman, and Christopher Leper. "Beyond Facebook Personality Prediction:." In Social Computing and Social Media. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07632-4_46.

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Parmar, Priyanshi, Nisha Makwana, and Apurva A. Mehta. "Personality Categorization of Big Five Personality Traits OCEAN Using K-Means Clustering." In Innovative Computing and Communications. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3588-4_21.

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Braun, Michael, and Florian Alt. "Identifying Personality Dimensions for Characters of Digital Agents." In Character Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-15954-2_8.

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Tripathy, Amiya K., Colton Gomes, and Ashok Jain. "Web Users’ Personality Traits Analysis." In Distributed Computing and Internet Technology. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89737-8_6.

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Shete, Pranoti S., and Anita Thengade. "Personality Trait with E-Graphologist." In Computational Vision and Bio-Inspired Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37218-7_14.

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Teklemicael, Feben, Yong Zhang, Yongji Wu, Yanshen Yin, and Chunxiao Xing. "Toward Gamified Personality Acquisition in Travel Recommender Systems." In Human Centered Computing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31854-7_34.

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Conference papers on the topic "Personality Computing"

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Priyanka, S., S. Santhiya, S. Keerthika, B. Divyadharshini, P. Madan, and Ms Yaswin. "Personality Based Text Generation." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724424.

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Khan, Adil, Aarifa, Amaan Khan, Balmiki Kumar, and Asif Khan. "Personality Prediction Model Using ML." In 2024 1st International Conference on Advances in Computing, Communication and Networking (ICAC2N). IEEE, 2024. https://doi.org/10.1109/icac2n63387.2024.10894872.

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Swetha Sree, S., Karanam Rushitha Chowdary, and Jesline Daniel. "Handwriting Analysis for Personality Trait Prediction." In 2024 International Conference on Computing and Intelligent Reality Technologies (ICCIRT). IEEE, 2024. https://doi.org/10.1109/iccirt59484.2024.10921780.

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Khan, Zainab, and Sarita Ambadekar. "AI-powered Prediction of 19 Personality Traits." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724742.

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Ankur, Abhishek, Vivek, Shubham Patel, and Md Hadique. "Personality Prediction Model: Using Multi-model Data." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10726089.

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Prasanna Kumar, R., G. Bharathi Mohan, M. Rithani, and Gundala Pallavi. "MBTI Based Personality Prediction using Social Media Data." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724820.

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Bhattacharyya, Aritra, Mansi Wadhwa, and Mohammed Adil Shaikh. "Automated Personality Profiling from Handwriting using Machine Learning." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10723329.

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Babiker, Areej, Sameha Alshakhsi, Tourjana Islam Supti, and Raian Ali. "Do Personality Traits Impact the Attitudes Towards Artificial Intelligence?" In 2024 11th International Conference on Behavioural and Social Computing (BESC). IEEE, 2024. https://doi.org/10.1109/besc64747.2024.10780777.

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Janaki, Nithya Mohan, Madhumitha Prabhu, A. Nihar Parveen, and E. Menaga. "The Segmentation Revolution: Customer Personality Analysis Driving Predictive Success." In 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2024. http://dx.doi.org/10.1109/icaccs60874.2024.10716968.

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Vinciarelli, Alessandro. "Personality Computing." In the 2014 Workshop. ACM Press, 2014. http://dx.doi.org/10.1145/2668024.2668029.

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Reports on the topic "Personality Computing"

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Varina, Hanna B., Viacheslav V. Osadchyi, Kateryna P. Osadcha, Svetlana V. Shevchenko, and Svitlana H. Lytvynova. Peculiarities of cloud computing use in the process of the first-year students' adaptive potential development. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4453.

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Technologies based on cloud computing is one of the demanded and actively developing areas of the modern information world. Cloud computing refers to an innovative technology that allows you to combine IT resources of various hardware platforms into a single whole and provide the user with access to them via a local network or the global Internet. Cloud services from various providers offer users access to their resources via the Internet via free or shareware cloud applications, the hardware and software requirements of which do not imply that the user has high-performance and resource-consum
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Oleksiuk, Vasyl P., and Olesia R. Oleksiuk. Methodology of teaching cloud technologies to future computer science teachers. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3891.

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The article deals with the problem of training future computer science teachers for the use of cloud technologies. The authors analyzed courses from leading universities to study cloud technologies. On this basis the model of application and studying of cloud technologies in the process of training of future teachers of informatics was developed. The basic principles of this model are proposed: systematic, gradual, continuous. It contains target, content, operating and effective component. Therefore, the stages of using cloud computing technology were proposed: as a means of organizing learnin
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