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Journal articles on the topic "Behavioural scoring"
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Hu, Wenbin, and Junzi Zhou. "Joint modeling: an application in behavioural scoring." Journal of the Operational Research Society 70, no. 7 (2018): 1129–39. http://dx.doi.org/10.1080/01605682.2018.1487821.
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Kennedy, K., B. Mac Namee, S. J. Delany, M. O’Sullivan, and N. Watson. "A window of opportunity: Assessing behavioural scoring." Expert Systems with Applications 40, no. 4 (2013): 1372–80. http://dx.doi.org/10.1016/j.eswa.2012.08.052.
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Walshe, David, Mary O'Kelly, Louis Ramsay, et al. "The relationship between behaviour disturbance and psychiatric diagnosis in male mentally handicapped adults resident in a long-stay unit." Irish Journal of Psychological Medicine 10, no. 1 (1993): 16–19. http://dx.doi.org/10.1017/s0790966700013239.
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AbstractObjective: To investigate the relationship between behavioural disturbance and psychiatric diagnosis in male mentally handicapped adults resident in a long stay unit. Method: The case notes of all 144 residents of St. Raphaels were reviewed. Diagnoses were classified according to the International Classification of Diseases Ninth Revision (ICD-9) and grouped into one of four categories Infantile Autism, Functional Psychoses, Personality/Behavioural Disorder and Emotional Disorders. Carers (Senior Nursing Staff) were interviewed using the Adaptive Behaviour Scale Part 2 (ABS Part 2) as a measure of behavioural disturbance in the preceding year for the 144 residents. Results: 56% of residents had significant psychiatric disorder. Those with a psychiatric diagnosis showed increased behavioural disturbance across a wide range of measures (p<0.001) with Hyperactivity, Self Abuse and Violence showing greatest discriminative power. However there was not a relationship between diagnostic category and pattern of scoring on the ABS Part 2. There was a significant relationship between Degree of Mental Handicap and Psychiatric Diagnostic Category (p<0.001). Neither psychiatric morbidity nor behavioural disturbance was associated with epilepsy, age or duration of stay. Conclusions: Mentally handicapped adults in residential care show high rates of psychiatric disturbance. Those with psychiatric diagnoses exhibit a wide range of disturbed behaviours but similar patterns of maladaptive behaviour occur across the spectrum of psychiatric disorders. These findings refer to a male residential population and cannot be generalised to all mentally handicapped.
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Marziali, Elsa, Heather Munroe-Blum, and Paul Links. "Severity as a Diagnostic Dimension of Borderline Personality Disorder." Canadian Journal of Psychiatry 39, no. 9 (1994): 540–44. http://dx.doi.org/10.1177/070674379403900905.
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The purpose of this study was to identify diagnostic and severity subgroups within a cohort of patients with borderline personality disorder (BPD). Of 171 patients clinically diagnosed with BPD, 132 were Diagnostic Interview for Borderlines (DIB) positive. Through a process of random selection, 41 of the DIB positive subjects were also interviewed with the revised version of the DIB (DIBR) and approximately one half with two semi-structured research interviews, the Schedule for Affective Disorders (SADS) and the Personality Disorder Examination (PDE). All subjects completed four self-report measures of problematic behaviours, symptoms and social adaptation. The analyses included examination of: 1. the correspondence of the BPD diagnosis across the DIB, the DIBR and the PDE; 2. the association between DIBR scoring levels and scores on measures of symptoms and behavioural status; and 3. the co-occurrence of BPD with Axis I and other Axis II disorders. Correlations and analyses of variance between both the DIB and DIBR scoring levels and the scores on the four symptom and behavioural measures showed that the scoring levels (DIB 7 to 10; DIBR 8 to 10) could be used to distinguish three subgroups of BPD. The three groups differed in terms of concordance for BPD with the PDE and in terms of patterns of overlap with DSM-III-R, Axis I and other Axis II disorders. This study shows that BPD subgroups can be located on a continuum of symptomatic and behavioural severity and that each subgroup has a specific pattern of overlap with Axis I and other Axis II disorders.
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Ngesan, Mohd Riduan, and Syed Sobri Syed Zubir. "Assessing Nighttime Place Identity using Measurable Indicator Scoring Technique." Asian Journal of Behavioural Studies 3, no. 12 (2018): 23. http://dx.doi.org/10.21834/ajbes.v3i12.119.
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This paper is a comparative study of place identity of nighttime urban public parks between Shah Alam that was built in 1957 and Putrajaya in 1999. This study used four research domains that form place identity adapted from Relph, 1976 and Cheshmehzangi, 2012. The method of this study involves the behavior mapping survey and the questionnaire survey. The data were then analysed using Measurable Indicator Scoring Technique (Karim, 2008) to ensure constant comparative process by creating analytic codes. It is hope that the findings from this study would help to improve the place identity and functions of future nighttime urban public parks.Keywords: Nighttime place identity; urban public park; Measurable Indicator Scoring TechniqueeISSN 2398-4295 © 2018. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.
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RAD, Dana, and Valentina E. BALAS. "A Novel Fuzzy Scoring Approach of Behavioural Interviews in Personnel Selection." BRAIN. BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE 11, no. 2 (2020): 178–88. http://dx.doi.org/10.18662/brain/11.2/81.
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Sarlija, Natasa, Mirta Bensic, and Marijana Zekic-Susac. "Comparison procedure of predicting the time to default in behavioural scoring." Expert Systems with Applications 36, no. 5 (2009): 8778–88. http://dx.doi.org/10.1016/j.eswa.2008.11.042.
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Westerholt, Rene, Heinrich Lorei, and Bernhard Höfle. "Behavioural Effects of Spatially Structured Scoring Systems in Location-Based Serious Games—A Case Study in the Context of OpenStreetMap." ISPRS International Journal of Geo-Information 9, no. 2 (2020): 129. http://dx.doi.org/10.3390/ijgi9020129.
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Location-based games have become popular in recent years, with Pokémon Go and Ingress being two very prominent examples. Some location-based games, known as Serious Games, go beyond entertainment and serve additional purposes such as data collection. Such games are also found in the OpenStreetMap context and playfully enrich the project’s geodatabase. Examples include Kort and StreetComplete. This article examines the role of spatially structured scoring systems as a motivational element. It is analysed how spatial structure in scoring systems is correlated with changes observed in the game behaviour. For this purpose, our study included two groups of subjects who played a modified game based on StreetComplete in a real urban environment. One group played the game with a spatially structured scoring system and the other with a spatially random scoring system. We evaluated different indicators and analysed the players’ GPS trajectories. In addition, the players filled out questionnaires to investigate whether they had become aware of the scoring system they were playing. The results obtained show that players who are confronted with a spatially structured scoring system are more likely to be in areas with high scores, have a longer playing time, walk longer distances and are more willing to take detours. Furthermore, discrepancies between the perception of a possible system in the scoring system and corresponding actions were revealed. The results are informative for game design, but also for a better understanding of how players interact with their geographical context during location-based games.
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Craven, Rachel, and Lyn Shelton. "Emotional problems and intellectual disability: comparing groups with and without forensic involvement." Journal of Intellectual Disabilities and Offending Behaviour 11, no. 4 (2020): 239–48. http://dx.doi.org/10.1108/jidob-05-2020-0010.
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Purpose Individuals with intellectual disability (ID) are known to experience increased emotional and behavioural concerns. The study aims to assess whether detained ID patients with a forensic history (IDPF) have increased difficulty managing their impulse control in comparison to detained ID patients without a forensic history (IDP). Using the externalising behaviour problems (EBP) subscale of the EPS, the study aims to compare the differences between the IDFP and IDP groups. Design/methodology/approach A total of 60 patients with ID detained under the Mental Health Act 1983 (Revised 2007) were assessed using the behaviour rating scale of the EPS. The outcome scores of the EBP were used to examine any observed differences between the scores of forensically involved patients [n = 34] and those without a forensic history [n = 26]. It was hypothesised that patients with a forensic history would display higher scoring on externalised behavioural problems (EBP) than patients without such a history. Findings Non-parametric testing revealed that there were no significant differences in EBP scoring between the two sample groups. These findings indicate that, for patients in the present study, no differences were detected in the presentation of these two distinct groups. In fact, with the exception of the verbal aggression subscale of the EBP, the other three subscales (physical aggression, non-compliance and hyperactivity) show that actually the IDP group displayed the higher ranked means in these subscales when compared with the forensically involved group. Originality/value These results indicate possible increased treatment needs within the IDP group and question whether offending history is necessarily a reliable predictor of ongoing hostility and behavioural concerns within similar inpatient services.
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Diaz-Lundahl, Sofia, Selina Hellestveit, Solveig Marie Stubsjøen, Clare J. Phythian, Randi Oppermann Moe, and Karianne Muri. "Intra- and Inter-Observer Reliability of Qualitative Behaviour Assessments of Housed Sheep in Norway." Animals 9, no. 8 (2019): 569. http://dx.doi.org/10.3390/ani9080569.
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This study tested the reliability of a Qualitative Behavioural Assessment (QBA) protocol developed for the Norwegian Sheep House (FåreBygg) project. The aim was to verify whether QBA scores were consistent between different observers, i.e., inter-observer reliability, and between scorings of the same observers on different time points, i.e., intra-observer reliability. Six trained observers, including two veterinary students, two animal welfare inspectors and two sheep farmers observed sheep in 16 videos, and independently scored 14 pre-defined behavioural descriptors on visual analogue scales (VAS). The procedure was repeated one week after the first scoring session. QBA scores were analysed using Principal Component Analysis. Inter- and intra-observer agreement was assessed using Kendall’s coefficient of concordance (W). Principal component 1 (PC 1) and 2 (PC 2) combined explained >60% of the total variation in the QBA scores in both scoring sessions. PC 1 (44.5% in sessions 1 and 2) ranged from the positive descriptors calm, content, relaxed and friendly to the negative descriptors uneasy, vigilant and fearful, and was therefore labelled mood. PC 2 (18% in session 1, 16.6% in session 2) ranged from bright to dejected and apathetic, and was therefore labelled arousal. Kendall’s coefficient of concordance of PC 1 for all observers was high in the two scoring sessions (W = 0.87 and 0.85, respectively), indicating good inter-observer reliability. For PC 2, the agreement for all observers was moderate in both video sessions (W = 0.45 and 0.65). The intra-observer agreement was very high for all observers for PC 1 (W > 0.9) except for one, where the agreement was considered to be high (W = 0.89). For PC 2, Kendall’s coefficient was very high for the veterinary students and interpreted as moderate for the two farmers and welfare inspectors. This study indicates that the QBA approach and the terms included in the Fårebygg protocol were reliable for assessing video recordings of sheep behaviour when applied by trained observers, regardless of whether they were a veterinary student, animal welfare inspector or sheep farmer. Further work is needed to examine the reliability of the QBA protocol when tested on-farms for sheep managed under Norwegian housing systems.
Dissertations / Theses on the topic "Behavioural scoring"
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Till, Robert John. "Predictive behavioural models in credit scoring and retail banking." Thesis, Imperial College London, 2002. http://hdl.handle.net/10044/1/7984.
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Hamilton, Robert. "[Credit] scoring : predicting, understanding and explaining consumer behaviour." Thesis, Loughborough University, 2005. https://dspace.lboro.ac.uk/2134/13053.
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This thesis stems from my research into the broad area of (credit) scoring and the predicting, understanding and explaining of consumer behaviour. This research started at the Univers1ty of Edinburgh on an ESRC funded project in 1988. This work, which is being submitted as the partial fulfilment of the requirements for the award of Doctor of Philosophy of Loughborough Unvers1ty, consists of an introductory chapter and a selection of papers published 1991 - 2001 (inclusive). The papers address some of the key issues and areas of interest and concern arising from the rapidly evolving and expanding credit (card) market and the highly competitive nature of the credit industry. These features were particularly evident during the late 1980's and throughout the 90's Chapter One provides a general background to the research and outlines some of the key (practical) issues involved in building a (credit) scorecard Additionally, it provides a brief summary of each of the research papers appearing in full in Chapters 2- 9 (inclusive) and ends with some general limitations and conclusions. The research papers appearing in Chapters 2-9 inclusive) are all concerned with predicting, understanding and explaining different types of consumer behaviour in relation to the use of credit cards. For example discriminating between 'GOOD' and 'BAD' repayers of credit card debt on the basis of different definitions of good and bad, the identification of 'slow payers' using different statistical methods; examining the characteristics of credit card users and non-users, and identifying the characteristics of credit card holders most likely to return their credit card.
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Schmidt, Wagner. "Passivo contingente em instituição financeira: proposta de análise de risco utilizando os modelos Credit Scoring e Behaviour Scoring." Pontifícia Universidade Católica de São Paulo, 2010. https://tede2.pucsp.br/handle/handle/1437.
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Previous issue date: 2010-10-28<br>This study is the result of the present observation of the movement of civil lawsuits that are growing every day on the market of financial institutions. Nowadays, especially in financial institutions, significant civil lawsuits has been a concern of executives. The main objective of this study is to propose a model of risk management for contingent liabilities in financial institutions, since the difficulty of managing such numbers in the deal result. This is an adaptation of the instruments used in the management of credit risk for the legal area. The models used are the Behaviour Scoring and Credit Scoring. The first model is based on the curve behavioral processes, in this work are denominated like variables. These variables are known industry products offered by financial institutions. On a second level is taken into account the reasons, known as triggering events that led to the civil suits. The second model, Credit Scoring, based on a statistical study of values, which serve as the basis in determining the historical losses. The proposed study is to assist the risk management of these liabilities, eliminating the subjectivity of analysis and allowing greater speed in information. The present results prove that it is possible to use the instruments in question to the risk management of contingent liabilities, reducing the subjectivity of analysis, as greater adherence to criteria and faster responses for managers. The top ten products analyzed shows the results of Credit Scores, for the respective taxable events, termed here as Behaviour Scores. This work, in addition to demonstrating the applicability of the models Credit Scoring and Behavior Scoring also allows us to expand this study to other fields of activities, such as telecommunications, energy, companies that handle large volumes of civil lawsuits, as well as expanded discussion of risk allocation of contingent liability for the product<br>Este estudo é o resultado da observação atual do movimento de ações cíveis que vem crescendo a cada dia no mercado de instituições financeiras. Nos dias atuais, principalmente nas instituições financeiras, volumes significativos de ações judiciais cíveis tem sido motivo de preocupação dos executivos. O principal objetivo deste estudo é propor um modelo de gestão de risco para passivos contingentes nas instituições financeiras, visto a dificuldade de gestão desses números dentro do resultado do negócio. Trata-se de uma adaptação dos instrumentos utilizados na área de gestão de risco de crédito para a área jurídica. Os modelos utilizados em questão são o Behaviour Scoring e o Credit Scoring. O primeiro modelo baseia-se na curva comportamental dos processos, que neste trabalho denominam-se como variáveis. Estas variáveis são os conhecidos produtos ofertados pela indústria das instituições financeiras. Em um segundo nível é levado em consideração os motivos, ou seja, fatos geradores que geraram as ações cíveis. O segundo modelo, o Credit Scoring, baseia-se em um estudo estatístico de valores, os quais servirão de base na apuração das perdas históricas. A proposta do estudo é auxiliar a gestão do risco desses passivos, eliminando a subjetividade de análise e permitindo maior velocidade nas informações. Os resultados obtidos neste trabalho provam que é possível utilizar os instrumentos em questão para a gestão do risco do passivo contingente, diminuindo a subjetividade de análise, visto maior aderência nos critérios e respostas mais rápidas para os gestores. O top ten de produtos analisados mostra os resultados dos Credit Scores, para os respectivos fatos geradores, denominado neste trabalho como Behaviour Scores. Este trabalho, além de evidenciar a aplicabilidade dos modelos Credit Scoring e Behaviour Scoring, também permite expandir este estudo para outros ramos de atividades, como telefonia, energia, empresas que operam com grandes volumes de ações cíveis, além de expandir discussões como alocação de risco de passivo contingente por produto
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Guedes, Maria Francisca Proença Sousa. "Modelos estatísticos em credit scoring para clientes de telecomunicações." Master's thesis, 2014. http://hdl.handle.net/10451/16003.
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Tese de mestrado em Matemática Aplicada em Economia e Gestão, apresentada à Universidade de Lisboa, através da Faculdade de Ciências, 2014<br>Uma das principais áreas em constante crescimento nas duas últimas décadas é a das Telecomunicações. É também uma área que tem sofrido grandes alterações devido ao aumento das necessidades dos clientes, às alterações das regras do mercado e à feroz concorrência. Assim, e tendo em conta os seus desejos, surge a necessidade de responder com as melhores propostas. A problemática económica presente leva a que a concessão de crédito seja, hoje em dia, uma das principais formas de satisfazer os clientes neste ramo. A tecnologia e os softwares atuais proporcionam a produção de grande volume de dados e variáveis. Algumas das ferramentas possibilitam aos analistas de crédito terem respostas imediatas, com todos os indicadores necessários para avaliar o processo de cada cliente. Contudo, estas técnicas exigem que o utilizador siga determinados parâmetros para que a tarefa de optimização tenha sucesso. De forma a desenvolver modelos estatísticos para cada grupo de clientes, é necessário ter um vasto conhecimento dos dados da Vodafone Portugal para que seja possível detetar o comportamento histórico de cada cliente e, posteriormente, caracterizá-lo através de um score. Esta pontuação não é 100% eficaz uma vez que se tratam de modelos de previsão, sendo que o objetivo pretende identificar corretamente o maior número possível de bons clientes e de maus clientes. Em função dos vários indicadores que surgem no contexto do problema dos modelos de Credit Scoring é possível que, ao longo do trabalho, existam várias pequenas conclusões. O desfecho do estudo pode culminar em possíveis alterações das regras de negócio ao crédito, desde a política de concessão de crédito até à metodologia das ações de cobrança. Os métodos utilizados nesta área são métodos quantitativos de análise de credito conhecidos mundialmente e utilizados nas mais diversas áreas, sendo que as instituições financeiras são as que mais os desenvolvem. Foram utilizadas técnicas estatísticas, com destaque para o modelo de regressão logística. A análise e interpretação dos resultados evidenciaram que o uso deste método é mais eficaz do que o processo usado atualmente, pois permite identificar um maior número de clientes com grande probabilidade de default.<br>One of the fields in constant growing over the last two decade is Telecommunications. It's also an area that has undergone major changes due to the growing customer necessities, the changing market rules and stiff competition. Thus, the need to respond with the best proposals taking into account their desires. The present economical problematic makes credit extension, nowadays, one of the main ways to satisfy customers in this business. Technology and up to date software provide the production of large volumes of data and variables. Some tools allow credit analysts to have immediate answers, with all the necessary indicators to evaluate each customer process. However, these techniques require the user to follow certain parameters for the optimization task is successful. In order to develop statistical models for each group of customers, you must have a vast knowledge of data from Vodafone Portugal, to be able to detect the historical behavior of each customer and later classify him through a score. This score is not 100% effective since they deal with forecasting models, with the purpose of correctly identify as many as possible of good customers and bad customers. Depending on the various indicators that appear in the context of credit scoring models is possible that, throughout the work, there are several small conclusions. The outcome of the study may result in possible changes in business credit rules, since the credit concession policy until the methodology of collection actions. The methods used in this area are quantitative methods of credit analysis known worldwide and used in several areas, being mostly developed by financial institutions. Statistical techniques were used, with emphasis on the logistic regression model. The analyzing and interpreting the results, which showed that the use of this method is more effective than the process currently used, since it identifies a greater number of clients with high probability default.
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Vering, Steffen. "Scaling credit decisions in FinTech : overcoming boundaries through behavioural credit risk models." Master's thesis, 2019. http://hdl.handle.net/10362/62618.
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Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics<br>The decision whom to grant a credit is of utmost importance for financial institutions
in order to develop both financially profitable, as well as widely accessible
financial products. To do this, companies have to be able to distinguish credit
applicants, who are able and likely to pay back their loan, from those, who will
be unable or unwilling to do so in the future. To improve this decision in the
future, the integration of additional behavioural data into the credit decision is
proposed in this thesis.
FinTech firms are increasingly moving interactions between financial institutions
and their customers from local bank branches into digital environments. This
transformation enables companies to gather and analyze a large set of previously
unavailable behavioural indicators, which can help estimate an individuals credit
default risk. This study presents the transforming market conditions that FinTech
firms operate in from a regulatory, technical and behavioural perspective and
outlines the key changes that impact the offering of credit products. Additionally,
it presents the leading approaches of consumer credit research and leverages their
best practices in the creation of a behavioural risk scoring model for a FinTech
company.
The evaluation of the model shows that the inclusion of behavioural indicators
into the credit decision is able to significantly improve the performance of decision
tree based credit risk models. Models trained with additional behavioural data are
able to outperform the base variable set in all performed tests, when compared
using the AUC and Kolmogorov-Smirnov measures, while showing no change
when assessed using the Brier-Score.
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Alves, Bruno Cardoso. "Modelos heterogéneos de sobrevivência: uma aplicação ao risco de crédito." Master's thesis, 2010. http://hdl.handle.net/10071/4402.
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Para criar modelos de apoio à gestão de cobranças de clientes numa instituição
financeira de crédito, foram estimados modelos de sobrevivência heterogéneos, para
prever a duração até dois acontecimentos: (i) registo do primeiro atraso no pagamento
das mensalidades do contrato de crédito; e (ii) registo de atrasos superiores a 90 dias –
default. Seguiu-se uma abordagem condicional tipo II, utilizando todos os clientes da
amostra para estimar a duração até ao primeiro atraso e uma sub-amostra, com os
clientes que registaram esse primeiro atraso, para estimar a duração até default. Para
cada acontecimento foram testadas as distribuições exponencial, Weibull, log-normal e
log-logística, em modelos agregados e de mistura. A duração até ao primeiro incidente
(i) foi estimada através de um modelo de sobrevivência com proporção de imunes. Esta
proporção resulta de um modelo logístico utilizando o scoring interno como variável
concomitante. Para os não imunes considerou-se que a duração t segue uma distribuição
log-normal, com variáveis explicativas para os parâmetros µ e σ. A duração entre o
primeiro incidente e uma situação de default (ii) estimou-se através de um modelo de
sobrevivência de mistura com 3 segmentos, com uma função de ligação logit
multinomial e assumindo também que t segue uma distribuição log-normal. Neste
segundo modelo apenas foram modelados os pesos do modelo logit, considerando µ e σ
constantes. Os modelos de sobrevivência apresentados incluem maioritariamente
informação recolhida na altura da originação, aplicáveis igualmente como modelos de
profit scoring, estimando o envolvimento na data de default, dado um cash-flow futuro.<br>To create models that support the receivables management in a financial institution,
heterogeneous survival models were estimated to predict time until two events: (i)
having at least one payment overdue; and (ii) 90 days overdue - default. A conditional 2
approach was followed, using all customers of the sample to estimate time until a first
payment overdue. A second model was developed, considering only the sub-sample of
clients who experienced the first overdue. The exponential, Weibull, log-normal and
log-logistic distributions were tested in estimating the time to each event, in aggregate
and mixture models. Time to the first overdue (i) was predicted through a survival
analysis with immunes, with a logistic model to estimate probability of immunity, using
internal credit scoring as covariate. For the non-immunes, a log-normal function, with
covariates for both parameters, μ and σ, was estimated to predict time to first overdue.
The time between the first overdue and default (ii) was estimated by survival mixture
model with 3 segments, with a multinomial logit link function and assuming that time to
default also follows a log-normal distribution. Covariates on the second model were
considered on the proportions of the mixture model, setting the parameters μ and σ as
constants in each group. The survival models presented in this thesis are estimated with
data collected at the beginning of the loan, allowing its application in a profit scoring
model, by predicting the exposure at the time the customer enters into a situation of
default, given an expected cash-flow.
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Preto, Ana Figueiredo Costa. "Analyses of default predicted models for a single family loan." Master's thesis, 2016. http://hdl.handle.net/10362/18615.
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This study aims to explore the possibility of a financial entity to produce a predicted model of default.
The study aims to compares the performance of an existing model, the FICO and an alternative model, based on cluster analysis method with dataset available.
A third option is presented for the analyses of default, which it is the junction of both models. This third method can be implemented in two different ways: the two models agreeing with acceptance of the loan or the two models approving the rejection of the loan.
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Scott, Sybil. "Nonverbal behaviour in the process of the therapeutic interview : an ecosystemic perspective." Diss., 1996. http://hdl.handle.net/10500/17701.
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Communication can be divied into two broad areas namely, the verbal and nonverbal levels.
While attention has been paid to nonverbal communication in the literature, few studies address
the nonverbal communication that takes place in the natural setting of a therapeutic session. The
present study provides such a naturalistic study, where the verbal content of actual
therapy sessions are integrated with the nonverbal content to yield a holistic view of
the session. An ecosystemic epistemology is adopted in this study, and represents a move away
from more traditional approaches to nonverbal behaviour which are largely confined to a
positivistic framework of thought and design.
Symlog Interaction Scoring is employed as a practical method of assisting observers in
distinguishing nonverbal behaviours, which are usually perceived unconsciously, and lifting them
into consciousness, allowing this infonnation to be integrated with the meanings and hypotheses
generated during therapy. By deliberately including descriptions of nonverbal behaviour,
the descriptions of therapy were broadened, thereby providing a more holistic approach to
therapy.<br>Psychology<br>M.A. (Clinical Psychology)
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Vallam, Rohith Dwarakanath. "Game-Theoretic Analysis of Strategic Behaviour in Networks, Crowds and Classrooms." Thesis, 2014. http://hdl.handle.net/2005/2955.
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Over the past decade, the explosive growth of the Internet has led to a surge of interest to understand and predict aggregate behavior of large number of people or agents, particularly when they are connected through an underlying network structure. Numerous Internet-based applications have emerged that are as diverse as getting micro-tasks executed through online labor markets (also known as crowd sourcing) to acquiring new skills through massively open online courses (also known as MOOCs). However, there has been a major inadequacy in existing studies with respect to evaluating the impact of strategic behavior of the agents participating in such networks, crowds, and classrooms. The primary focus of this doctoral work is to understand the equilibrium behaviour emerging from these real-world, strategic environments by blending ideas from the areas of game theory, graph theory, and optimization, to derive novel solutions to these new-age economic models. In particular, we investigate the following three research challenges:
(1) How do strategic agents form connections with one another? Will it ever happen that strategically stable networks are social welfare maximizing as well?
(2) How do we design mechanisms for eliciting truthful feedback about an object (perhaps a new product or service or person) from a crowd of strategic raters? What can we tell about these mechanisms when the raters are connected through a social network?
(3) How do we incentivize better participation of instructors and students in online edu-cation forums? Can we recommend optimal strategies to students and instructors to get the best out of these forums?
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Gentz, Maria. "Pig tail biting in different farrowing and rearing systems with a focus on tail lesions, tail losses and activity monitoring." Doctoral thesis, 2020. http://hdl.handle.net/21.11130/00-1735-0000-0005-142A-6.
Full textBooks on the topic "Behavioural scoring"
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Thomas, L. C. Behavioural scoring. University of Edinburgh. Department of Business Studies, 1988.
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Finlay, Steven. Credit scoring, response modelling and insurance rating: A practical guide to forecasting consumer behaviour. Palgrave Macmillan, 2010.
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Finlay, Steven. Credit scoring, response modelling and insurance rating: A practical guide to forecasting consumer behaviour. Palgrave Macmillan, 2010.
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Sakyyi, Alfred A. A study of the holistic scoring behaviours of experienced and novice ESL instructors. 2003.
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Finlay, S. Credit Scoring, Response Modelling and Insurance Rating: A Practical Guide to Forecasting Consumer Behaviour. Palgrave Macmillan, 2010.
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Gould, JS, WL McCaw, NP Cheney, PF Ellis, and S. Matthews. Field Guide: Fire in Dry Eucalypt Forest. CSIRO Publishing, 2008. http://dx.doi.org/10.1071/9780643101289.
Full textAbstract:
An effective response to bushfires relies on accurate predictions of fire behaviour, particularly the rate of spread, intensity and ‘spotting’. This field guide has been developed to provide a systematic method for assessing fuel hazard and predicting potential fire behaviour in dry eucalypt forest. It will assist in making vital decisions that ensure the protection of fire crews and the community.
 This guide integrates Project Vesta research findings with the Victorian Overall Fuel Hazard Guide and is applicable to dry eucalypt forests throughout southern Australia. Fuel assessment is based on the hazard scoring system employed during Project Vesta which investigated the effects of fuel age and understorey vegetation structure on fire behaviour in these forests.
 Information provided in this guide can be used to: Define and identify different fuel layers and components of fuel structure and hazard; Determine the hazard score of surface and near-surface fuel layers and the height of the near-surface fuel for fire spread prediction; Determine elevated fuel height for flame height prediction; and determine surface fuel hazard score and bark hazard score for spotting distance prediction.
 The Field Guide provides tables to predict the potential rate of spread of a bushfire burning in dry eucalypt forest under summer conditions, and can also be used to predict flame height and maximum spotting distance. The guide also allows users to determine the moisture content of fine dead fuels throughout the day, and to account for the effect of slope on the rate of spread of a fire.
Book chapters on the topic "Behavioural scoring"
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Gupta, Anmol, Sanidhya Pandey, Harsh Krishna, Subham Pramanik, and P. Gouthaman. "Behavioural Scoring Based on Social Activity and Financial Analytics." In Inventive Computation and Information Technologies. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4305-4_56.
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Madeira, Sara C., Arlindo L. Oliveira, and Catarina S. Conceição. "A Data Mining Approach to Credit Risk Evaluation and Behaviour Scoring." In Progress in Artificial Intelligence. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-24580-3_25.
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Riley, Jeff. "Evolving Fuzzy Rules for Goal-Scoring Behaviour in Robot Soccer." In Robot Soccer. InTech, 2010. http://dx.doi.org/10.5772/7345.
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Riley, Jeff, and Vic Ciesielski. "Analysing the Difficulty of Learning Goal-Scoring Behaviour for Robot Soccer." In Robotic Soccer. I-Tech Education and Publishing, 2007. http://dx.doi.org/10.5772/5137.
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Hubley, Anita M., and Maeve A. Mangaoang. "Neuropsychological Assessment." In The ITC International Handbook of Testing and Assessment. Oxford University Press, 2016. http://dx.doi.org/10.1093/med:psych/9780199356942.003.0012.
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Neuropsychological assessment involves compiling information about a person’s premorbid or current behaviour and using it to make inferences about his or her brain functioning or to predict behavior. Today, neuropsychological assessment is focused on identifying cognitive deficits associated with different disorders; changes over time; efficacy of treatment; and patient strengths and weaknesses. It is also used to predict functioning, guide rehabilitation planning, and supplement forensic/legal evaluations. Key elements of neuropsychological assessments described in the chapter include history taking; behavioral observations; the testing situation; selection, administration, and scoring of tests; and test standardization and norms. Descriptions of fixed, flexible, and “flexible battery” approaches to testing are provided, as are descriptions of quantitative (norm) and qualitative (process) approaches. Several norming approaches of particular interest to neuropsychological assessment (i.e., continuous norming, equivalent scores, overlapping cell tables) are noted. An overview is provided of a number of commonly assessed areas of neuropsychological functioning.
Conference papers on the topic "Behavioural scoring"
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Palmer-Jones, Roland, Susannah Turner, and Phil Hopkins. "A New Approach to Risk Based Pipeline Integrity Management." In 2006 International Pipeline Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/ipc2006-10535.
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The use of risk based integrity management systems for pipelines is increasing in popularity, and now changes in legislation in the USA require operators to use risk assessment in high consequence areas. The methodologies used range from point scoring qualitative schemes to detailed quantified systems requiring structural reliability analysis, release modelling and post incident behavioural modelling. In the UK a risk based approach to pipeline integrity management has been included in legislation since 1996, and is widely used. Experience with implementing systems and applying them to onshore and offshore pipeline systems has led to the following conclusions: • Point scoring systems cannot replace expert knowledge. • Point scoring systems always need to be modified to suit a particular system and need updating as parameters change. • Detailed automated systems generate a huge number of sections and range of risks. this can be confusing and cannot easily be accounted for in inspection planning. • A clear link between risks and inspection or monitoring is needed. • Simplicity and flexibility are critical. This paper describes a radical new approach to using risk assessment for pipeline integrity management. This new approach focuses on identifying whether hazards are time dependant (e.g. corrosion) or random (e.g. third party damage), and then either estimating a time to failure or a probability of occurrence. These estimates can be based on experience, history, or specific detailed studies. The effect of inspection and monitoring is also considered. This methodology allows the user to manage the risks associated with their pipeline in a way that is flexible, rational, consistent, and can be readily understood by others. It also allows the reasons for decisions regarding inspections to be recorded, and new users to quickly learn the key safety issues for the pipeline.
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Vora, Saransh, Mostafa Shahriari, Stelios C. A. Thomopoulos, Lukas Fischer, and Thomas Hoch. "A scoring algorithm for abnormal traveller behaviour in border crossing areas." In Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies IV, edited by Henri Bouma, Robert J. Stokes, Yitzhak Yitzhaky, and Radhakrishna Prabhu. SPIE, 2020. http://dx.doi.org/10.1117/12.2573963.
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Riley, Jeff, and Vic Ciesielski. "Analysis of the difficulty of learning goal-scoring behaviour for robot soccer." In the 8th annual conference. ACM Press, 2006. http://dx.doi.org/10.1145/1143997.1144251.
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Spingler, G. "Numerical Modelling of Laser Scoring Line Behaviour for Seamless Passenger Airbag Door Opening." In SAE World Congress & Exhibition. SAE International, 2009. http://dx.doi.org/10.4271/2009-01-0356.
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