The relation between Wechsler Performance Quotients and quotients on the Snijders-Oomen Non-Verbal Intelligence Scale

This paper examines the relationship between results of the Wechsler-Bellevue Performance Test of Intelligence and the Snijders-Oomen Non-Verbal Intelligence Scale (SONS) as given to hearing-impaired students at Central Institute for the Deaf.

Estudo normativo do R-2: teste não verbal de inteligência para crianças

This study presents the standardization of the R-2 Non Verbal Intelligence Test for Children conducted at the city of Assis – SP, Brazil, and compares it with the São Paulo city standardization. The sample was composed by 559 children, between 5 and 11 years old, half of each sex, students from Assis city, randomly selected according to their proportion in private and public schools. Results indicate differences between ages and school types, but not between sexes. Percentile norms were established for the total sample at each age. The comparison of Assis and São Paulo city children reveals significant differences and Assis' results slightly higher. The conclusion is that R-2 Test is appropriate to cognitive assessment of Assis children, suggesting the use of new norms for this region.

O Teste de Apercepção Temática (TAT) em adultos: dados normativos para o sistema morvaliano

No contexto da pesquisa e utilização prática das técnicas de autoexpressão, o Teste de Apercepção Temática (TAT) apresenta reconhecidas vantagens. Apesar de linhas de pesquisa bastante desenvolvidas internacionalmente, não existem estudos atuais sobre as propriedades deste instrumento no Brasil, levantando a necessidade de conhecer seus alcances e limites nesse contexto cultural. Desse modo, o desenvolvimento de normas que descrevam o desempenho típico de uma população não clínica se mostra um importante passo inicial rumo à retomada da pesquisa com o TAT e sua adoção por profissionais. Tendo em vista que a validação das técnicas de autoexpressão se refere aos sistemas de classificação e não aos instrumentos em si, o presente estudo adotou, dentre a miríade de sistemas de categorização das histórias do TAT descritos na literatura, o sistema proposto por Monique Morval, que foi desenvolvido para estudantes e profissionais com pouca experiência com o TAT, utilizando pressupostos da Personologia de Henry Murray, Psicologia Cognitiva e Psicologia do Ego, possibilitando leituras objetivas e qualitativas do material. Considerando o potencial de utilização desse sistema por parte dos psicólogos brasileiros - visto sua semelhança com o atual sistema aprovado para uso pelo Sistema de Avaliação dos Testes Psicológicos (SATEPSI) do Conselho Federal de Psicologia - foram feitos aprimoramentos no assim chamado sistema morvaliano, possibilitando sua adoção no estudo normativo proposto pelo presente projeto. Tais aprimoramentos consistiram na revisão e adição de categorias e subcategorias, a partir de trabalhos brasileiros e internacionais sobre o instrumento. Desta forma, o presente estudo teve por objetivo desenvolver normas para o TAT (Sistema Morvaliano) em adultos, a partir de uma amostra não clínica, aleatória e estratificada por critérios de idade, sexo, escolaridade e nível socioeconômico (NSE) da cidade de Ribeirão Preto (SP). Os participantes foram 100 adultos (25 a 44 anos de idade), selecionados através de visita a domicílios sorteados em bairros de diferentes NSE. Foram realizadas entrevistas de avaliação psicológica individuais, utilizando um roteiro de entrevista semiestruturada, o Teste de Inteligência Geral Não-Verbal (TIG-NV) e 20 cartões do TAT, pré-selecionados de acordo com as recomendações do manual original do instrumento. As histórias do TAT foram categorizadas no sistema morvaliano revisado e seus dados passaram por análises estatísticas e sínteses qualitativas em busca de diferenças de desempenho relacionadas ao sexo, escolaridade e NSE. Os resultados mostram poucas diferenças entre os grupos que justifiquem a elaboração de normas específicas; apesar disso, foi identificada uma tendência (ainda que pequena) de o nível de escolaridade e o NSE favorecerem um melhor desempenho nas variáveis relativas à organização formal das histórias. São discutidas as implicações dos dados obtidos em termos do perfil normativo de desempenho nas variáveis do sistema morvaliano, suas evidências preliminares de validade e futuras direções para estudos sobre o TAT nesse sistema.

Método de Rorscharch em adultos: evidências psicométricas da Escola Francesa

O Método de Rorschach é internacionalmente utilizado e reconhecido como instrumento de avaliação psicológica em processos de investigação da personalidade. Para embasar seu adequado uso no contexto do Brasil, contínuos estudos sobre suas evidências psicométricas fazem-se necessários, sobretudo sobre seus indicadores de validade, precisão e referenciais normativos. Nesse contexto, este trabalho objetivou: a) verificar indicadores de precisão e validade do Rorschach (Escola Francesa ou de Paris), por meio da reavaliação de adultos não pacientes do estudo normativo de Pasian (1998), para checagem da estabilidade temporal (estrutural e funcional) das características de personalidade examinadas pelo método (ESTUDO 1); b) revisar e atualizar padrões normativos e atlas da Escola Francesa do Rorschach em adultos, avaliando-se eventuais especificidades de produção associadas ao sexo, à idade e à escolaridade (ESTUDO 2). No primeiro estudo foram reavaliados 88 adultos do estudo de Pasian (1998), com idade entre 34 a 69 anos, de ambos os sexos e de diferentes níveis de escolaridade (baixa, média e alta). No segundo estudo compôs-se nova amostra com 102 adultos, entre 18 e 65 anos, com sinais de desenvolvimento típico, distribuídos equitativamente em relação ao sexo e com diferentes graus de escolaridade (baixa, média e alta). Para elaboração dos dados normativos foram incluídos 66 adultos do Estudo 1, totalizando 168 casos nessa nova amostra (86 mulheres e 82 homens). Os participantes residiam no interior do Estado de São Paulo e foram avaliados, individualmente, por: a) instrumento de rastreamento de saúde mental (SRQ-20) - no estudo 1, utilizado para caracterização da amostra e no estudo 2 como critério de seleção dos participantes; b) instrumento de avaliação intelectual (Teste de Inteligência Não Verbal - INV, forma C - apenas no Estudo 2) para controle cognitivo da amostra; c) critério de classificação econômica Brasil (ABEP) e d) Método de Rorschach (Escola de Paris). Cada instrumento de avaliação psicológica foi aplicado, codificado e sistematizado conforme seus respectivos manuais técnicos. Especificamente o Método de Rorschach foi avaliado pelas diretrizes da Escola Francesa, sendo cada protocolo (de cada um dos dois estudos) examinado independentemente por dois avaliadores, chegando-se a uma classificação final dos casos. Calculou-se o índice de concordância entre examinadores pelo coeficiente Kappa para as quatro categorias de classificação das respostas do Rorschach (localização, determinante/qualidade formal, conteúdo e banalidades). Os resultados foram sistematizados inicialmente em termos descritivos (média, desvio-padrão, mediana, valor mínimo e máximo), realizando-se análises inferenciais específicas para as amostras de cada estudo em função de seus objetivos centrais. No Estudo 1, os achados relativos aos índices de correlação entre as duas avaliações dos 88 voluntários variaram entre 0,72 a -0,005, evidenciando estabilidade em um conjunto das características de personalidade dos adultos examinados após 15 anos, configurando evidências empíricas de precisão e de validade de método projetivo. Houve variáveis do Rorschach que não apresentaram resultados estáveis entre os dois momentos avaliativos (fórmulas vivenciais), sugerindo se tratarem de indicadores técnicos relativos ao funcionamento da personalidade, mais do que componentes estruturais. As análises do Estudo 2 apontaram reduzida influência dos fatores relacionados ao sexo, à escolaridade e à idade sobre as variáveis do Rorschach, não indicando a necessidade de normas específicas para grupos em termos desses fatores. Por fim, foi elaborado novo atlas de referência do Método de Rorschach (Escola de Paris) no contexto brasileiro, seguindo-se as diretrizes técnicocientíficas nacionais e internacionais da área. Os dados fortalecem a relevância dos estudos de natureza psicométrica para embasar adequadas análises interpretativas desse instrumento de avaliação psicológica (FAPESP e CAPES/PDSE).

Emotional intelligence, personality and decoding non-verbal expressions of emotion

Previous research has highlighted theoretical and empirical links between measures of both personality and trait emotional intelligence (EI), and the ability to decode facial expressions of emotion. Research has also found that the posed, static characteristics of the photographic stimuli used to explore these links affects the decoding process and differentiates them from the natural expressions they represent. This undermines the ecological validity of established trait-emotion decoding relationships. This study addresses these methodological shortcomings by testing relationships between the reliability of participant ratings of dynamic, spontaneously elicited expressions of emotion with personality and trait EI. Fifty participants completed personality and self-report EI questionnaires, and used a computer-logging program to continuously rate change in emotional intensity expressed in video clips. Each clip was rated twice to obtain an intra-rater reliability score. The results provide limited support for links between both trait EI and personality variables and how reliably we decode natural expressions of emotion. Limitations and future directions are discussed.

Non-verbal reasoning : multiple choice : 11 + practice papers.

Son pruebas de inteligencia cuyas preguntas no tienen una solución que puede ser aprendida de antemano.Son utilizadas, entre otras finalidades, para conocer de los escolares de ocho a catorce años, sus capacidades para comprender y asimilar información novedosa, independientemente de sus habilidades lingüísticas.

Text categorization methods for automatic estimation of verbal intelligence

In this paper we investigate whether conventional text categorization methods may suffice to infer different verbal intelligence levels. This research goal relies on the hypothesis that the vocabulary that speakers make use of reflects their verbal intelligence levels. Automatic verbal intelligence estimation of users in a spoken language dialog system may be useful when defining an optimal dialog strategy by improving its adaptation capabilities. The work is based on a corpus containing descriptions (i.e. monologs) of a short film by test persons yielding different educational backgrounds and the verbal intelligence scores of the speakers. First, a one-way analysis of variance was performed to compare the monologs with the film transcription and to demonstrate that there are differences in the vocabulary used by the test persons yielding different verbal intelligence levels. Then, for the classification task, the monologs were represented as feature vectors using the classical TF–IDF weighting scheme. The Naive Bayes, k-nearest neighbors and Rocchio classifiers were tested. In this paper we describe and compare these classification approaches, define the optimal classification parameters and discuss the classification results obtained.

Estimating Adaptacion of Dialogue Partners with Different Verbal Intelligence

This work investigates to what degree speakers with different verbal intelligence may adapt to each other. The work is based on a corpus consisting of 100 descriptions of a short film (monologues), 56 discussions about the same topic (dialogues), and verbal intelligence scores of the test participants. Adaptation between two dialogue partners was measured using cross-referencing, proportion of "I", "You" and "We" words, between-subject correlation and similarity of texts. It was shown that lower verbal intelligence speakers repeated more nouns and adjectives from the other and used the same linguistic categories more often than higher verbal intelligence speakers. In dialogues between strangers, participants with higher verbal intelligence showed a greater level of adaptation.

Relating dominance of dialogue participants with their verbal intelligence scores

In this work we investigated whether there is a relationship between dominant behaviour of dialogue participants and their verbal intelligence. The analysis is based on a corpus containing 56 dialogues and verbal intelligence scores of the test persons. All the dialogues were divided into three groups: H-H is a group of dialogues between higher verbal intelligence participants, L-L is a group of dialogues between lower verbal intelligence participant and L-H is a group of all the other dialogues. The dominance scores of the dialogue partners from each group were analysed. The analysis showed that differences between dominance scores and verbal intelligence coefficients for L-L were positively correlated. Verbal intelligence scores of the test persons were compared to other features that may reflect dominant behaviour. The analysis showed that number of interruptions, long utterances, times grabbed the floor, influence diffusion model, number of agreements and several acoustic features may be related to verbal intelligence. These features were used for the automatic classification of the dialogue partners into two groups (lower and higher verbal intelligence participants); the achieved accuracy was 89.36%.

The rapid screen of concussion: An evaluation of the non-word repetition test for use in mTBI research

Primary objectives: (1) To investigate the Nonword Repetition test (NWR) as an index of sub-vocal rehearsal deficits after mild traumatic brain injury (mTBI); (2) to assess the reliability, validity and sensitivity of the NWR; and (3) to compare the NWR to more sensitive tests of verbal memory. Research design: An independent groups design. Methods and procedures: Study 1 administered the NWR to 46 mTBI and 61 uninjured controls with the Rapid Screen of Concussion (RSC). Study 2 compared mTBI, orthopaedic and uninjured participants on the NWR and the Hopkins Verbal Learning Test (HVLT-R). Main outcomes and results: The NWR did not improve the diagnostic accuracy of the RSC. However, it is reliable and indexes sub-vocal rehearsal speed. These findings provide evidence that although the current form of the NWR lacks sensitivity to the impact of mTBI, the development of a more sensitive test of sub-vocal rehearsal deficits following mTBI is warranted.

Learning Data-Driven Models of Non-Verbal Behaviors for Building Rapport Using an Intelligent Virtual Agent

There is a growing societal need to address the increasing prevalence of behavioral health issues, such as obesity, alcohol or drug use, and general lack of treatment adherence for a variety of health problems. The statistics, worldwide and in the USA, are daunting. Excessive alcohol use is the third leading preventable cause of death in the United States (with 79,000 deaths annually), and is responsible for a wide range of health and social problems. On the positive side though, these behavioral health issues (and associated possible diseases) can often be prevented with relatively simple lifestyle changes, such as losing weight with a diet and/or physical exercise, or learning how to reduce alcohol consumption. Medicine has therefore started to move toward finding ways of preventively promoting wellness, rather than solely treating already established illness. Evidence-based patient-centered Brief Motivational Interviewing (BMI) interven- tions have been found particularly effective in helping people find intrinsic motivation to change problem behaviors after short counseling sessions, and to maintain healthy lifestyles over the long-term. Lack of locally available personnel well-trained in BMI, however, often limits access to successful interventions for people in need. To fill this accessibility gap, Computer-Based Interventions (CBIs) have started to emerge. Success of the CBIs, however, critically relies on insuring engagement and retention of CBI users so that they remain motivated to use these systems and come back to use them over the long term as necessary. Because of their text-only interfaces, current CBIs can therefore only express limited empathy and rapport, which are the most important factors of health interventions. Fortunately, in the last decade, computer science research has progressed in the design of simulated human characters with anthropomorphic communicative abilities. Virtual characters interact using humans’ innate communication modalities, such as facial expressions, body language, speech, and natural language understanding. By advancing research in Artificial Intelligence (AI), we can improve the ability of artificial agents to help us solve CBI problems. To facilitate successful communication and social interaction between artificial agents and human partners, it is essential that aspects of human social behavior, especially empathy and rapport, be considered when designing human-computer interfaces. Hence, the goal of the present dissertation is to provide a computational model of rapport to enhance an artificial agent’s social behavior, and to provide an experimental tool for the psychological theories shaping the model. Parts of this thesis were already published in [LYL+12, AYL12, AL13, ALYR13, LAYR13, YALR13, ALY14].

C-TONI: Teste de inteligência não verbal aferição de dados normativos para crianças sinalizadas com necessidades educativas especiais (nee) do concelho de Vila de Franca de Xira

Dissertação de Mestrado apresentada ao Instituto Superior de Psicologia Aplicada para obtenção de grau de Mestre na especialidade de Psicologia Clínica.

Learning data-driven models of non-verbal behaviors for building rapport using an intelligent virtual agent

There is a growing societal need to address the increasing prevalence of behavioral health issues, such as obesity, alcohol or drug use, and general lack of treatment adherence for a variety of health problems. The statistics, worldwide and in the USA, are daunting. Excessive alcohol use is the third leading preventable cause of death in the United States (with 79,000 deaths annually), and is responsible for a wide range of health and social problems. On the positive side though, these behavioral health issues (and associated possible diseases) can often be prevented with relatively simple lifestyle changes, such as losing weight with a diet and/or physical exercise, or learning how to reduce alcohol consumption. Medicine has therefore started to move toward finding ways of preventively promoting wellness, rather than solely treating already established illness.^ Evidence-based patient-centered Brief Motivational Interviewing (BMI) interventions have been found particularly effective in helping people find intrinsic motivation to change problem behaviors after short counseling sessions, and to maintain healthy lifestyles over the long-term. Lack of locally available personnel well-trained in BMI, however, often limits access to successful interventions for people in need. To fill this accessibility gap, Computer-Based Interventions (CBIs) have started to emerge. Success of the CBIs, however, critically relies on insuring engagement and retention of CBI users so that they remain motivated to use these systems and come back to use them over the long term as necessary.^ Because of their text-only interfaces, current CBIs can therefore only express limited empathy and rapport, which are the most important factors of health interventions. Fortunately, in the last decade, computer science research has progressed in the design of simulated human characters with anthropomorphic communicative abilities. Virtual characters interact using humans’ innate communication modalities, such as facial expressions, body language, speech, and natural language understanding. By advancing research in Artificial Intelligence (AI), we can improve the ability of artificial agents to help us solve CBI problems.^ To facilitate successful communication and social interaction between artificial agents and human partners, it is essential that aspects of human social behavior, especially empathy and rapport, be considered when designing human-computer interfaces. Hence, the goal of the present dissertation is to provide a computational model of rapport to enhance an artificial agent’s social behavior, and to provide an experimental tool for the psychological theories shaping the model. Parts of this thesis were already published in [LYL+12, AYL12, AL13, ALYR13, LAYR13, YALR13, ALY14].^