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Добірка наукової літератури з теми "Personality Computing"

Автор: Grafiati

Опубліковано: 11 березня 2023

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Статті в журналах з теми "Personality Computing"

Vinciarelli, Alessandro, and Gelareh Mohammadi. "More Personality in Personality Computing." IEEE Transactions on Affective Computing 5, no. 3 (July 1, 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 (July 1, 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 (July 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 evaluate the theorized relations, 152 individuals participated in a controlled laboratory experiment, where social cues in two computer interfaces were manipulated. Results indicate that social cues moderate the relations between personality, beliefs about the social role of computing, and the attributions made. In addition, the results suggest that disaggregating personality traits is theoretically and practically richer than aggregating them.

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Chuanqin, Zheng. "Computing Personality Trait Based on Multi-source." Journal of Physics: Conference Series 1955, no. 1 (June 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 considering charging adminsitrasinya teacher certification performed with computerized online program for you State , appropriate curriculum in 2013 all teachers in the learning process to educate students using computerized , so too the acceptance of new students each academic year always use the on-line computerized . Thus both teachers and administrative staff are required to have expertise in End user Computing . So the research conducted to analyze the influence of demographic factors and personality to expertise in End User Computing. The results showed that demographic factors (age - gender - experience) has a direct influence on the expertise in end user computing 0 , 001 ; 0 , 027 ; 0,007 . Personality factors of computer anxiety (fear - Anticipation 0.057) ; computer attitude (Intimidation 0.05) has a direct influence on the expertise in end user computing . The results were quite surprising is the demographic factors (educational 0.117) , personality factors of computer attitude (0.760 pessimism - optimism 0.150) ; math anxiety (0.334) is not significant enough to expertise in end user computing . To improve performance in the Public High Schools in Yogyakarta municipality with regard to the introduction of new technology on- line computerized system above , need to be considered in decisions about withdrawal of the human resources , training and implementation of computer education for personnel and equipment. Provision of adequate facilities is expected to increase its expertise in end user computing , which in turn improves the performance of State High School and individual performance

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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 (December 21, 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 Language to express Personality.

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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 simulation results show that the model can effectively simulates the change law of human emotion. Finally, this paper designs the software interface of the emotional interaction system.

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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 (June 30, 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 improvement over similar work by other researchers [1, 2, 3].

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Board, Editorial. "Well-known Personality in a Technical World and Information System." Global Journal of Enterprise Information System 8, no. 1 (August 9, 2016): 62. http://dx.doi.org/10.18311/gjeis/2016/7294.

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We are pleased to share profile of Col. Inderjit Singh (Retd). Inderjit is a an experienced Information Systems and Information Security Professional with experience of more than 25 year across a wide spectrum of areas spanning Solution Architecture, Program/Project Management Telecom, IT Infrastructure Management, Info Security Advisory and Architecture, Cyber Security, Cyber Warfare and Cyber Forensics, Data Centers Design and Operations, Cloud Computing and E-Commerce Startup. An experienced Information Systems Professional with experience of more than 25 year across a wide spectrum of areas spanning Solution Architecture, Program/ Project Management in Telecom, IT Infrastructure Management, Information Security Advisory and Architecture, Cyber Security, Cyber Warfare and Cyber Forensics, Data Centers Design and Operations, Cloud Computing and E-Commerce.

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Choong, En Jun, and Kasturi Dewi Varathan. "Predicting judging-perceiving of Myers-Briggs Type Indicator (MBTI) in online social forum." PeerJ 9 (June 23, 2021): e11382. http://dx.doi.org/10.7717/peerj.11382.

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The Myers-Briggs Type Indicator (MBTI) is a well-known personality test that assigns a personality type to a user by using four traits dichotomies. For many years, people have used MBTI as an instrument to develop self-awareness and to guide their personal decisions. Previous researches have good successes in predicting Extraversion-Introversion (E/I), Sensing-Intuition (S/N) and Thinking-Feeling (T/F) dichotomies from textual data but struggled to do so with Judging-Perceiving (J/P) dichotomy. J/P dichotomy in MBTI is a non-separable part of MBTI that have significant inference on human behavior, perception and decision towards their surroundings. It is an assessment on how someone interacts with the world when making decision. This research was set out to evaluate the performance of the individual features and classifiers for J/P dichotomy in personality computing. At the end, data leakage was found in dataset originating from the Personality Forum Café, which was used in recent researches. The results obtained from the previous research on this dataset were suggested to be overly optimistic. Using the same settings, this research managed to outperform previous researches. Five machine learning algorithms were compared, and LightGBM model was recommended for the task of predicting J/P dichotomy in MBTI personality computing.

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Більше джерел

Дисертації з теми "Personality Computing"

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 changes of attitude in relation to experience gained from a type of computer course, as well as the effects of prior experience on initial attitudes and attitude change were studied. The main hypothesis was that computing experience would improve attitude scores. It was found that subjects with the greatest prior computer experience did indeed have more positive initial attitudes. However, attitude scores decreased over the year, in that the higher the prior experience the more the decrease. Computer stress, the impact of computing experience on computer stress and performance, as well as their relation to computer attitude, were examined. There was only a transient effect of a computing session on experienced stress; subjects with greater prior experience and more positive attitudes towards computers had lower levels of stress before and after computer sessions. No effects of prior computer experience were found on computer performance. A series of multiple regressions indicated that the main attitudinal predictor of computer related stress was computer confidence, whereas the key predicting variable of anticipatory stress was computer anxiety. Computer attitudes, stress, performance, and prior experience were examined in relation to the personality variables of locus of control, extraversion, neuroticism, and A typology. Two measures of Locus of Control were used and correlations suggested that internals were likely to have more positive attitude, experience lower levels of stress and perform better than externals. Higher levels of neuroticism were associated with less favourable attitude and higher levels of stress - although not with performance. Higher extraversion was associated with lower levels of computer anxiety and anticipatory stress. Finally, higher Type A scores were found to be associated mainly with more positive attitude. A series of multiple regression models suggested that experience explains more variation in attitudes than locus of control. Another series of multiple regression models, using as independent variables attitude and personality variables together, suggested that it is mainly attitude (confidence and anxiety) that accounts for most of the variance in stress. Results were discussed in the context of relevant literature, and the relationships between attitude and different aspects of experience as well as between attitude and personality were emphasised.

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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 dos Cinco Grandes Fatores da Personalidade (Big Five). Para fins de validação do estudo foi, inicialmente, desenvolvido o CarreiraEAD, um Objeto para apoio ao planejamento, suportado em um Ambiente Virtual de Ensino e Aprendizagem, o Moodle, que é dividido em introdução, aplicação do teste psicológico online L.A.B.E.L. (Lista de Adjetivos Bipolares e em Escala Likert), Inventário Pessoal do Passado, Observando o Presente e Planejando o Futuro. Entre todos os módulos foi aplicada uma Roda de Estados Afetivos (REA) a fim de verificar os estados afetivos durante o processo de planejamento de carreira. Neste experimento, alunos de graduação foram distribuídos em um de três diferentes grupos de análise. Todos os grupos foram realizados pelo mesmo Orientador de carreira. A diferença existente entre as intervenções baseou-se no modo como o Orientador mediou cada grupo. Os resultados demonstraram evidências de que os comportamentos que caracterizam o planejamento de carreira estão relacionados a estados afetivos e a traços de personalidade, como a conscienciosidade, a estabilidade emocional, o lócus de controle interno, a autonomia, a persistência, a criatividade/abertura a experiências e a tomada de risco. Foi realizada uma ANOVA fatorial de medidas repetidas com o objetivo de avaliar se houve mudança nos escores na Escala de Decisão de Carreira (EDC) para todo o grupo e para as diferentes formas de mediação. Os resultados demonstraram que houve uma variação significativa dos escores da EDC considerando todos os participantes [F(1, 36) = 10,23, p =0,003; Eta2 = 0,221; Poder = 0,88), sendo que, globalmente, os escores em T2 (Depois) foram maiores do que em T1 (Antes). O resultado do tamanho de efeito (Eta2) sugere que a diferença entre pré-teste e pós- teste, considerando os três grupos conjuntamente, foi relevante. Tal resultado é interessante na medida em que sugere a eficácia da intervenção. Um teste de comparações de médias (teste t de Student) indicou haver diferenças estatisticamente significativas no escore geral de estado afetivo entre participantes persistentes e desistentes, no CarreiraEAD, o que proporcionou a verificação de que os participantes que persisitiram apresentaram estados afetivos mais positivos. Em síntese, através dessa pesquisa foi possível perceber que o CarreiraEAD é uma forma eficaz de, considerando as características de personalidade e os estados afetivos, realizar o planejamento de carreira na modalidade virtual.
The 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.

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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)
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
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.

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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 la récompense et de réactivité au stress et les avons explorées de façon multimodale dans une grande cohorte multicentrique d'adolescents sans psychopathologie (IMAGEN) et deux échantillons d'adolescents présentant un trouble psychopathologique associé à la MI, le Trouble de Personnalité Borderline (TPB) (cohortes 'suicidants' et ADOLIMIS). Les analyses de neuro-imagerie ont retrouvé une diminution structurelle et fonctionnelle du système de récompense corrélée à la précocité de la puberté chez les adolescents avec MI, associée à une diminution des comportements motivationnels et une augmentation des difficultés émotionnelles. Les analyses utilisant des méthodes d'informatique affective rapportent que les adolescents TPB présentent, quant à eux, une hyperréactivité au stress associée à un défaut d'insight. A l'issue de ce travail de thèse, nous proposons un modèle intégratif des conséquences développementales de la MI à l'adolescence allant de la résilience à la psychopathologie et mettant en lumière une association de facteurs de vulnérabilité nécessitant une surveillance accrue tels que la précocité pubertaire, des conduites suicidaires et des troubles anxieux. Ces résultats ouvrent des perspectives quant à des thérapies ciblées telles que le neuro-feedback et ouvrent de nouvelles questions qui seront explorées par le volet 'imagerie' de l'étude ADOLIMIS
Childhood 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

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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 la personnalité ? Sur quels modèles et théories issus de la psychologie peut-on s'appuyer pour développer une personnalité artificielle ? Quelle méthodologie adopter pour aborder l’implémentation d'un concept psychologique complexe ? Qu'apporte le développement informatique d'une personnalité à l'interaction homme-machine ? Au domaine de la psychologie de la personnalité ? Comment évaluer expérimentalement ces apports ? Pour aborder ces questions, nos travaux se positionnent dans une optique pluridisciplinaire, au croisement de l’informatique et de la psychologie. Au regard de sa pertinence pour une approche computationnelle, nous avons modélisé la régulation du Soi comme une composante de la personnalité. Ce concept est approché à partir de la théorie du regulatory focus. Sur cette base théorique, un cadre de travail conceptuel et un modèle computationnel sont proposés. Un questionnaire mesurant le regulatory focus a également été développé et validé. Ces propositions théoriques sont mises en œuvre dans deux implémentations data-driven (dimensionnelle vs socio-cognitive) dotant des agents de regulatory focus en utilisant de l’apprentissage automatique. Deux études utilisateurs (interaction unique avec agent artificiel vs sessions répétées avec agent animé), présentées dans un cadre ludique, ont permis d’étudier la perception du regulatory focus chez un agent et son impact sur l'interaction. Nos résultats encouragent l’utilisation du regulatory focus en informatique affective et ouvrent des perspectives sur les liens théoriques et méthodologiques entre informatique et psychologie
The 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

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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 these questions lead to developing better systems and to increasing their adoption. Using structural equation modelling, two models - the extension agents' perceived usefulness of POSOP, and their attitude towards the use of POSOP, were developed (Models ATU and ATP). Two of POSOP's features (its value as a decision support tool, and its user interface), two personality traits (Openness (0) and Extraversion (E)), and the agents' intelligence, proved to be significant, and were evaluated. The agents' attitude towards POSOP's value had a substantial impact on their perceived usefulness and their attitude towards using it, and thus their intention to use POSOP. Their attitude towards POSOP's user interface also had an impact on their attitude towards its perceived usefulness, but had no impact on their attitude towards using it. However, the user interface did contribute to its value. In Model ATU, neither Openness (0) nor Extraversion (E) had an impact on the agents' perceived usefulness indicating POSOP was considered useful regardless of the agents' personality background. However, Extraversion (E) had a negative impact on their intention to use POSOP in Model ATP indicating that 'introverted' agents had a clear intention to use POSOP relative to the 'extroverted' agents. Extension agents' intelligence, in terms of their GPA, had neither an impact on their attitude, nor their subjective norm (expectation of 'others' beliefs), to the use of POSOP. It also had no association with any of the variables in both models. Both models explain and predict that it is likely that the agents will use POSOP. However, the availability of computers, particularly their capacity, are likely to impede its use. Although the agents believed using POSOP would not be difficult, they still believed training would be beneficial. To be a useful decision support tool, the expert system's value and user interface as well as its usefulness and ease of use, are all crucially important to the preliminary acceptance of a system. Most importantly, the users' problems and needs should be assessed and taken into account as a first priority in developing an expert system. Furthermore, the users should be involved in the system development. The results emphasise that the use of an expert system is not only determined by the system's value and its user interface, but also the agents' perceived usefulness, and their attitude towards using it. In addition, the agents' perception of control over using it is also a significant factor. The results suggested improvements to the system's value and its user interface would increase its potential use, and also providing suitable computers, coupled with training, would encourage its use.

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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 willing to commit privacy violations to PII than were those IS/IT practitioners that did not identify themselves with some of the Hallmark Features of moral and computing exemplars. In order to accomplish this, this research developed and validated two new survey instruments capable of identifying those IS/IT practitioners that were more and less willing to commit unethical privacy violations to PII, and contrast them against some of the Hallmark Features of computing exemplars. The findings of this research supported the conclusion that IS/IT practitioners that identify with some of the Hallmark Features of moral and computing exemplars were less willing to commit privacy violations to PII than were other IS/IT practitioners. Specifically, the results indicated that the most prominent predictor to indicate a lesser willingness to commit privacy violations to PII was that of those IS/IT practitioners that displayed prosocial orientations. Additionally, the predictors of age, level of education, and how ethical IS/IT practitioners assessed themselves to be, proved to be significant markers for those individuals that were less willing to commit privacy violations to PII. While the results are promising, they are also alarming, because the results also indicate that IS/IT practitioners are blatantly willing to commit privacy violations to PII. Thus, two immediate implications resonate from the results of this research. First, there are those individuals that have been given the trusted position of guardianship for society's personal information that should probably not have it, and secondly, further investigations are warranted to determine what other predictors may promote a lesser willingness to commit privacy violations to PII. The contribution of this research to the fields of IS/IT, personnel selection and testing, and organizational assessment and training is unique. This is because, to date, no other discernable literatures have ever investigated the rating and rankings of the severity of PII privacy violations, nor has any other research investigated what Hallmark Features of individuality contribute to a less willing disposition to commit PII privacy violations.

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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 variables under study which was used to compare with the results of the empirical study. From this study of 68 white collar respondents from a financial institution it can, in general, be concluded that peoples' attitude toward the personal use of computers is positive and not affected by the individual variables tested.
Industrial and Organisational Psychology
M. Com. (Industrial Psychology)

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Книги з теми "Personality Computing"

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

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1963-, Bonifant Araceli, ed. Dynamical systems (1953-2000). Providence, Rhode Island: American Mathematical Society, 2012.

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

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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 suddenly realize that tech isn't as neutral as they thought it was. But can an algorithm be racist? And what is an algorithm, anyway? In school, they decide to explore computing classes, with mixed results. One class is only about typing. The class that Christine wants to join is full, and the school counselor suggests that she take a class in “Tourism and Hospitality” instead. (Really??) But Antonio's class seems legit, Christine finds an after-school program, and they decide to teach the others what they learn. By summer vacation, all four have discovered that computing is both personally and politically empowering. Interspersed through the narrative are text boxes with computer science explainers and inspirational profiles of people of color and women in the field (including Katherine Johnson of Hidden Figures fame). Power On! is an essential read for young adults, general readers, educators, and anyone interested in the power of computing, how computing can do good or cause harm, and why addressing underrepresentation in computing needs to be a top priority.

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Частини книг з теми "Personality Computing"

Solinger, Carrie, Leanne Hirshfield, Stuart Hirshfield, Rachel Friendman, and Christopher Leper. "Beyond Facebook Personality Prediction:." In Social Computing and Social Media, 486–93. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07632-4_46.

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Braun, Michael, and Florian Alt. "Identifying Personality Dimensions for Characters of Digital Agents." In Character Computing, 123–37. Cham: 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, 57–70. Berlin, Heidelberg: 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, 120–30. Cham: 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, 375–85. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31854-7_34.

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Iacobelli, Francisco, Alastair J. Gill, Scott Nowson, and Jon Oberlander. "Large Scale Personality Classification of Bloggers." In 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.

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Xiao, He, Donald Reid, Andrew Marriott, and E. K. Gulland. "An Adaptive Personality Model for ECAs." In Affective Computing and Intelligent Interaction, 637–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11573548_82.

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Patil, Piyush, Saloni Goyal, Tanya Dwivedi, and Suvarna Bhat. "Personality Recognition for Candidate Screening." In 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.

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Liu, Xiaoqian, Dong Nie, Shuotian Bai, Bibo Hao, and Tingshao Zhu. "Personality Prediction for Microblog Users with Active Learning Method." In Human Centered Computing, 41–54. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15554-8_4.

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Nie, Dong, Ang Li, Zengda Guan, and Tingshao Zhu. "Your Search Behavior and Your Personality." In 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.

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Тези доповідей конференцій з теми "Personality Computing"

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

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Lykourentzou, Ioanna, Angeliki Antoniou, Yannick Naudet, and Steven P. Dow. "Personality Matters." In CSCW '16: Computer Supported Cooperative Work and Social Computing. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2818048.2819979.

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Jia, Yuan, Bin Xu, Yamini Karanam, and Stephen Voida. "Personality-targeted Gamification." In CHI'16: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2858036.2858515.

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Aagesen, Peter Tolstrup, and Clint Heyer. "Personality of Interaction." In CHI'16: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2858036.2858521.

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Massey, Charlotte, Sean TenBrook, Chaconne Tatum, and Steve Whittaker. "PIM and personality." In CHI '14: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2556288.2557023.

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Ott, Linda. "Combatting Stereotypes in Computing Using Personality Type." In 2018 IEEE Frontiers in Education Conference (FIE). IEEE, 2018. http://dx.doi.org/10.1109/fie.2018.8658710.

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Mawhinney, Charles H., and Albert L. Lederer. "Managerial personality type and end-user computing." In the twenty-second annual computer personnel research conference. New York, New York, USA: ACM Press, 1986. http://dx.doi.org/10.1145/317210.317229.

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Nazareno, Diogo, Almeida de Melo, and Ingrid Teixeira Monteiro. "Communication and Personality." In 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.

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Perkins, A. Louise. "Artificial logic-based personality." In 2017 International Conference on Inventive Computing and Informatics (ICICI). IEEE, 2017. http://dx.doi.org/10.1109/icici.2017.8365268.

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Al Maruf, Abdullah, Md Abdullah-Al Nayem, Md Mahmudul Haque, Zakaria Masud Jiyad, Al Mamun Or Rashid, and Fahima Khanam. "A Survey on Personality Prediction." In ICCA 2022: 2nd International Conference on Computing Advancements. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3542954.3543012.

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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.], June 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-consuming computers. Cloud technologies represent a new way of organizing the educational process and offers an alternative to traditional methods of organizing the educational process, creates an opportunity for personal learning, collective teaching, interactive classes, and the organization of psychological support. The scientific article is devoted to the problem of integrating cloud technologies not only in the process of training highly qualified specialists, but also in the formation of professionally important personality traits. The article describes the experience of introducing cloud technologies into the process of forming the adaptive potential of students in conditions of social constraints caused by the COVID-19 pandemic.

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Oleksiuk, Vasyl P., and Olesia R. Oleksiuk. Methodology of teaching cloud technologies to future computer science teachers. [б. в.], July 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 learning activities, as an object of study, as a means of development. The article summarizes the experience of designing a cloud-based learning environment (CBLE). The model is based on such philosophical and pedagogical approaches as systemic, competent, activity, personality-oriented, synergistic. Hybrid cloud is the most appropriate model for this environment. It combines public and private cloud platforms. CBLE also requires the integration of cloud and traditional learning tools. The authors described the most appropriate teaching methods for cloud technologies such as classroom learning, interactive and e-learning, practical methods. The article contains many examples of how to apply the proposed methodology in a real learning process.

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