Littérature scientifique sur le sujet « Personality Computing »
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Articles de revues sur le sujet "Personality Computing"
Vinciarelli, Alessandro, et Gelareh Mohammadi. « More Personality in Personality Computing ». IEEE Transactions on Affective Computing 5, no 3 (1 juillet 2014) : 297–300. http://dx.doi.org/10.1109/taffc.2014.2341252.
Texte intégralVinciarelli, Alessandro, et Gelareh Mohammadi. « A Survey of Personality Computing ». IEEE Transactions on Affective Computing 5, no 3 (1 juillet 2014) : 273–91. http://dx.doi.org/10.1109/taffc.2014.2330816.
Texte intégralJohnson, Richard D., Natasha Veltri et Jason B. Thatcher. « Beliefs and Attributions toward Computing Technology ». Journal of Organizational and End User Computing 27, no 3 (juillet 2015) : 27–54. http://dx.doi.org/10.4018/joeuc.2015070102.
Texte intégralChuanqin, Zheng. « Computing Personality Trait Based on Multi-source ». Journal of Physics : Conference Series 1955, no 1 (1 juin 2021) : 012100. http://dx.doi.org/10.1088/1742-6596/1955/1/012100.
Texte intégralWisnubroto, 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 (3 décembre 2013) : 1. http://dx.doi.org/10.28989/senatik.v1i0.54.
Texte intégralNunes, Maria Augusta Silveira Netto. « Psychological Aspects in lifelike synthetic agents : Towards to the Personality Markup Language (A Brief Survey) ». RENOTE 7, no 3 (21 décembre 2009) : 390–400. http://dx.doi.org/10.22456/1679-1916.13581.
Texte intégralYang, Guo Liang, Jin Hui Zhang et Hui Sun. « Design of Emotional Interaction System Based on Affective Computing Model ». Applied Mechanics and Materials 198-199 (septembre 2012) : 367–73. http://dx.doi.org/10.4028/www.scientific.net/amm.198-199.367.
Texte intégralBhushan, 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 (30 juin 2021) : 3860–66. http://dx.doi.org/10.22214/ijraset.2021.35766.
Texte intégralBoard, Editorial. « Well-known Personality in a Technical World and Information System ». Global Journal of Enterprise Information System 8, no 1 (9 août 2016) : 62. http://dx.doi.org/10.18311/gjeis/2016/7294.
Texte intégralChoong, En Jun, et Kasturi Dewi Varathan. « Predicting judging-perceiving of Myers-Briggs Type Indicator (MBTI) in online social forum ». PeerJ 9 (23 juin 2021) : e11382. http://dx.doi.org/10.7717/peerj.11382.
Texte intégralThèses sur le sujet "Personality Computing"
Giannoutsos, Evangelos. « Stress, attitudes and personality in computing in students (1990-1993) ». Thesis, Durham University, 2004. http://etheses.dur.ac.uk/4080/.
Texte intégralAlbert-von, der Gönna Johannes [Verfasser], et 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.
Texte intégralAlbert-von, der Gönna Johannes Verfasser], et 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.
Texte intégralPereira, 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.
Texte intégralThe study proposed on this thesis aims to verify how a career intervention in a virtual environment can assist the participants in planning his or her objectives regarding career, relating the outcome to personality traits and emotional states. The motivation for the development of this interdisciplinary work (Education, Psychology and Affective Computing) arises from the dynamics of the current context of the employment market and the need to increase the accessibility to this type of intervention. Super, Savickas, Holland, Scherer and the Five Factor Model of Personality (Big Five) are the main theories underpinning this research. CarreiraEAD, an instrument to support the planning, based on in a Virtual Teaching and Learning Environment, the Moodle, was initially developed to help in the validation of this study. CarreiraEAD is divided in introduction, application of the online psychological test L.A.B.E.L. (list of Bipolar Adjectives and Likert Scale), Personal Inventory of Past, Observing the Present and Planning the Future. Between the modules the Wheel of Affective States (WAS) was applied to verify affective states during the career planning process. Undergraduate students were assigned to one of three different analysis groups in this experiment. All groups were coordinated by the same career advisor. The difference between the interventions was based on the advisor approach to each group. The outcome showed evidences that the behaviors that characterize the career planning are related to affective states and personality traits such as conscientiousness, emotional stability, internal control locus, autonomy, persistence, creativity/openness to experience and risk taking. Factorial repeated measures ANOVA was performed with the aim of assessing whether there was a change in the scores of the Career Decision Scale (CDS) for the whole group and for different forms of mediation. Results showed that there was a significant variation in CDS scores considering all participants [F(1, 36) = 10.23, p =0.003, Eta2 = 0.221, Power =0.88), whereas globally the T2 scores (After) were higher than in T1(Before). Effect size (Eta2) results suggest that the difference between pretest and posttest was significant, considering the three groups jointly. This outcome is relevant since it suggests the intervention effectiveness. Mean test comparison (Student t test) showed a statistically significant difference in affective state total score between persistent participants and dropouts in CarreiraEAD, which elicited verification regarding the persistent participants, which showed more positive affective states. In summary, the present research enabled to validate that CarreiraEAD, considering the personality characteristics and emotional states, is an effective instrument to perform the career planning in a virtual environment.
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.
Texte intégralMade 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
A modalidade de ensino a distância (EaD) se expande cada vez mais no Brasil, incentivada pela evolução das tecnologias de informação e comunicação (TIC). Apesar da disseminação da EaD, essa modalidade de ensino ainda apresenta altas taxas de evasão. Esse fato ocorre, na maioria das vezes, pelos seguintes motivos: sentimento de isolamento enfrentado pelos discentes, uma vez que a presença física e social do aluno em ambientes educacionais virtuais é mínima; dificuldade em colaborar com os pares e falta de adaptação às metodologias utilizadas na EaD. Diversos trabalhos desenvolvidos na área da computação afetiva indicam que aspectos psicológicos humanos como personalidade, afetividade e emoção, quando empregados em ambientes virtuais de aprendizagem, influenciam na interação e aumentam a colaboração entre os alunos. Com base na literatura e nas entrevistas efetuadas com professores e alunos do Instituto Federal da Paraíba (IFPB), este trabalho apresenta a análise e o desenvolvimento de um sistema para a recomendação de pessoas (monitores e tutores), observando o contexto e os fatores da personalidade/temperamento dos alunos, a fim de melhorar o processo de colaboração na EaD. Os experimentos realizados com alunos dos cursos técnicos em meio ambiente, pesca e segurança do trabalho do IFPB, comprovaram que o software desenvolvido neste trabalho foi eficiente quando as recomendações foram geradas com base na afinidade da personalidade/temperamento entre os alunos. Dessa forma, os resultados gerados pelas recomendações foram bem avaliados pelos participantes desta pesquisa e revelaram que o índice de satisfação e a colaboração no ambiente virtual de ensino melhoraram com o uso do Affinity.
Distance Education has increasingly expanded in Brazil due to the evolution of information and communication technologies (ICT). Despite of this dissemination, distance education still has high evasion rates. This occurs, in most cases, due to the sense of isolation faced by the students, for the physical and social presence of the student in virtual educational environments is minimal; the difficulty in collaborating with pairs and the lack of adaptation to methodologies used in distance education. Several studies developed in the area of affective computing indicate that human psychological aspects such as personality, affection and emotion, when used in virtual learning environments, influence the interaction and increase collaboration among students. Based on the literature as well as on interviews conducted with teachers and students of the Instituto Federal da Paraíba (IFPB), this dissertation presents the analysis and the development of a system for recommending people (monitors and tutors) that takes into consideration the context and personality/temperament factors of the students to improve the process of collaboration in distance education. The experiments conducted with students of technical courses in environment, fishing and work safety at IFPB, have shown that the software developed in this work was efficient when the recommendations were generated considering the similarity of personality/temperament among students. Therefore, the results generated by the recommendations were highly rated by participants in this study and revealed that the level of satisfaction and the collaboration in virtual teaching environment improved significantly with the use of Affinity.
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.
Texte intégralChildhood maltreatment (CM) has many lasting consequences for the development of children and adolescents. The aim of this work was to study different hypotheses that may underlie these consequences ranging from resilience to psychopathology during adolescence. This period is indeed a period characterized by major hormonal and neurobiological changes and by the onset of numerous mental disorders. Furthermore, puberty timing is directly impacted by CM. We hypothesized and explored reward system and stress responsiveness impairments in a large multicentric cohort of community adolescents (IMAGEN) and in adolescents with a psychiatric disorder associated with CM : Borderline Personality Disorder (BPD) ('suicide attempters' cohort and ADOLIMIS). Neuroimaging analyzes of the reward sytem found that lower regional volumes and blunted reactivity correlated with an earlier puberty timing in adolescents with lower motivational behaviors and higher emotional problems. Affective computing analyzes reported that BPD adolescents showed a higher response to stress but a lack of self-perception. We propose an integrative model of the developmental consequences of CM during adolescence ranging from resilience to psychopathology, highlitghing an association of putative risk factors requiring increased monitoring such as earlier timing of puberty and precocity of suicidal behavior and anxiety disorders. These results open up prospects for targeted therapies such as neurofeedback and for new hypotheses that will be explored in the neuroimaging part of the ADOLIMIS study
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.
Texte intégralThe development of affective computing is leading to the design of artificial devices endowed with a form of social and emotional intelligence. The study of human-computer interaction in this context offers many research tracks. Among them is the question of personality: how to model some characteristics of an artificial personality? How these characteristics will influence the course of interaction with users? This goal rises several research questions: how to define personality? On which models and theories from psychology should we rely to define some artificial personality? Which methodology will help to address the implementation of such a complex psychological concept? What could artificial personality bring to the field of human-computer interaction? And to the psychology of personality? How to experimentally evaluate these contributions? To address these issues, this thesis takes a multidisciplinary approach, at the crossing of computing science and psychology. Given its relevance to a computational approach, we modeled self-regulation as a component of personality. This concept is approached from the regulatory focus theory. On this theoretical basis, a conceptual framework and a computational model are proposed. Our theoretical proposals led to two data-driven implementations (dimensional vs. socio-cognitive) which endowed our artificial agents with regulatory focus by using machine-learning. A French questionnaire measuring regulatory focus was designed and validated. Two user studies (brief interaction with artificial agents vs. repeated sessions with animated agents), where the regulatory focus of agents is conveyed via game strategies, enabled the study of regulatory focus perception and its impact on the interaction. Our results support the use of regulatory focus in affective computing and open perspectives on the theoretical and methodological links between computer science and psychology
Chetsumon, Sireerat. « Attitudes of extension agents towards expert systems as decision support tools in Thailand ». Lincoln University, 2005. http://hdl.handle.net/10182/1371.
Texte intégralRosenbaum, 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.
Texte intégralWaddell, Christopher Duncan. « The relationship between individual variables and attitudes towards the personal use of computers ». Diss., 1994. http://hdl.handle.net/10500/17835.
Texte intégralIndustrial and Organisational Psychology
M. Com. (Industrial Psychology)
Livres sur le sujet "Personality Computing"
Dennett, Daniel Clement. Brainchildren : Essays on designing minds. Cambridge, Mass : MIT Press, 1998.
Trouver le texte intégral1963-, Bonifant Araceli, dir. Dynamical systems (1953-2000). Providence, Rhode Island : American Mathematical Society, 2012.
Trouver le texte intégralWiredu, Gamel O. Mobile Computer Usability : An Organizational Personality Perspective. Springer London, Limited, 2013.
Trouver le texte intégralWiredu, Gamel O. O. Mobile Computer Usability : An Organizational Personality Perspective. Springer, 2016.
Trouver le texte intégralWiredu, Gamel O. Mobile Computer Usability : An Organizational Personality Perspective. Springer, 2013.
Trouver le texte intégralRyoo, Jean J., Jane Margolis et Charis JB. Power On ! The MIT Press, 2022. http://dx.doi.org/10.7551/mitpress/14166.001.0001.
Texte intégralChapitres de livres sur le sujet "Personality Computing"
Solinger, Carrie, Leanne Hirshfield, Stuart Hirshfield, Rachel Friendman et Christopher Leper. « Beyond Facebook Personality Prediction : ». Dans Social Computing and Social Media, 486–93. Cham : Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07632-4_46.
Texte intégralBraun, Michael, et Florian Alt. « Identifying Personality Dimensions for Characters of Digital Agents ». Dans Character Computing, 123–37. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-15954-2_8.
Texte intégralTripathy, Amiya K., Colton Gomes et Ashok Jain. « Web Users’ Personality Traits Analysis ». Dans Distributed Computing and Internet Technology, 57–70. Berlin, Heidelberg : Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89737-8_6.
Texte intégralShete, Pranoti S., et Anita Thengade. « Personality Trait with E-Graphologist ». Dans Computational Vision and Bio-Inspired Computing, 120–30. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37218-7_14.
Texte intégralTeklemicael, Feben, Yong Zhang, Yongji Wu, Yanshen Yin et Chunxiao Xing. « Toward Gamified Personality Acquisition in Travel Recommender Systems ». Dans Human Centered Computing, 375–85. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31854-7_34.
Texte intégralIacobelli, Francisco, Alastair J. Gill, Scott Nowson et Jon Oberlander. « Large Scale Personality Classification of Bloggers ». Dans Affective Computing and Intelligent Interaction, 568–77. Berlin, Heidelberg : Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24571-8_71.
Texte intégralXiao, He, Donald Reid, Andrew Marriott et E. K. Gulland. « An Adaptive Personality Model for ECAs ». Dans Affective Computing and Intelligent Interaction, 637–45. Berlin, Heidelberg : Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11573548_82.
Texte intégralPatil, Piyush, Saloni Goyal, Tanya Dwivedi et Suvarna Bhat. « Personality Recognition for Candidate Screening ». Dans Futuristic Trends in Networks and Computing Technologies, 907–19. Singapore : Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5037-7_65.
Texte intégralLiu, Xiaoqian, Dong Nie, Shuotian Bai, Bibo Hao et Tingshao Zhu. « Personality Prediction for Microblog Users with Active Learning Method ». Dans Human Centered Computing, 41–54. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15554-8_4.
Texte intégralNie, Dong, Ang Li, Zengda Guan et Tingshao Zhu. « Your Search Behavior and Your Personality ». Dans Pervasive Computing and the Networked World, 459–70. Cham : Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09265-2_47.
Texte intégralActes de conférences sur le sujet "Personality Computing"
Vinciarelli, Alessandro. « Personality Computing ». Dans the 2014 Workshop. New York, New York, USA : ACM Press, 2014. http://dx.doi.org/10.1145/2668024.2668029.
Texte intégralLykourentzou, Ioanna, Angeliki Antoniou, Yannick Naudet et Steven P. Dow. « Personality Matters ». Dans CSCW '16 : Computer Supported Cooperative Work and Social Computing. New York, NY, USA : ACM, 2016. http://dx.doi.org/10.1145/2818048.2819979.
Texte intégralJia, Yuan, Bin Xu, Yamini Karanam et Stephen Voida. « Personality-targeted Gamification ». Dans CHI'16 : CHI Conference on Human Factors in Computing Systems. New York, NY, USA : ACM, 2016. http://dx.doi.org/10.1145/2858036.2858515.
Texte intégralAagesen, Peter Tolstrup, et Clint Heyer. « Personality of Interaction ». Dans CHI'16 : CHI Conference on Human Factors in Computing Systems. New York, NY, USA : ACM, 2016. http://dx.doi.org/10.1145/2858036.2858521.
Texte intégralMassey, Charlotte, Sean TenBrook, Chaconne Tatum et Steve Whittaker. « PIM and personality ». Dans CHI '14 : CHI Conference on Human Factors in Computing Systems. New York, NY, USA : ACM, 2014. http://dx.doi.org/10.1145/2556288.2557023.
Texte intégralOtt, Linda. « Combatting Stereotypes in Computing Using Personality Type ». Dans 2018 IEEE Frontiers in Education Conference (FIE). IEEE, 2018. http://dx.doi.org/10.1109/fie.2018.8658710.
Texte intégralMawhinney, Charles H., et Albert L. Lederer. « Managerial personality type and end-user computing ». Dans the twenty-second annual computer personnel research conference. New York, New York, USA : ACM Press, 1986. http://dx.doi.org/10.1145/317210.317229.
Texte intégralNazareno, Diogo, Almeida de Melo et Ingrid Teixeira Monteiro. « Communication and Personality ». Dans IHC '21 : XX Brazilian Symposium on Human Factors in Computing Systems. New York, NY, USA : ACM, 2021. http://dx.doi.org/10.1145/3472301.3484362.
Texte intégralPerkins, A. Louise. « Artificial logic-based personality ». Dans 2017 International Conference on Inventive Computing and Informatics (ICICI). IEEE, 2017. http://dx.doi.org/10.1109/icici.2017.8365268.
Texte intégralAl Maruf, Abdullah, Md Abdullah-Al Nayem, Md Mahmudul Haque, Zakaria Masud Jiyad, Al Mamun Or Rashid et Fahima Khanam. « A Survey on Personality Prediction ». Dans ICCA 2022 : 2nd International Conference on Computing Advancements. New York, NY, USA : ACM, 2022. http://dx.doi.org/10.1145/3542954.3543012.
Texte intégralRapports d'organisations sur le sujet "Personality Computing"
Varina, Hanna B., Viacheslav V. Osadchyi, Kateryna P. Osadcha, Svetlana V. Shevchenko et Svitlana H. Lytvynova. Peculiarities of cloud computing use in the process of the first-year students' adaptive potential development. [б. в.], juin 2021. http://dx.doi.org/10.31812/123456789/4453.
Texte intégralOleksiuk, Vasyl P., et Olesia R. Oleksiuk. Methodology of teaching cloud technologies to future computer science teachers. [б. в.], juillet 2020. http://dx.doi.org/10.31812/123456789/3891.
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