The researcher is concerned about the lack of attention given to withdrawn early adolescents (WEAs) at school. During early adolescence, the foundations for lasting character, personality traits and social interaction are laid. Learners exhibiting withdrawal behaviour are described as being quiet, reserved, removed or distant. Attempts by educators to get them involved in lessons often end in failure and this causes educators to become frustrated and confused about how to deal with these learners. The aim of this study is therefore to establish the factors that contribute to withdrawal behaviour in early adolescents. The researcher devised an identification instrument that makes the identification of WEAs much easier for educators. He also established the deep seated fears and anxieties of WEAs and ascertained how they would like to be treated by their educators. / Psychology of Education / M. Ed. (Psychology of Education)

Emotion adds an important element to the discussion of how information is conveyed and processed by humans; indeed, it plays an important role in the contextual understanding of messages. This research is centered on investigating relevant features for affect classification, along with modeling the multimodal and multitemporal nature of emotion. The use of formant-based features for affect classification is explored. Since linear predictive coding (LPC) based formant estimators often encounter problems with modeling speech elements, such as nasalized phonemes and give inconsistent results for bandwidth estimation, a robust formant-tracking algorithm was introduced to better model the formant and spectral properties of speech. The algorithm utilizes Gaussian mixtures to estimate spectral parameters and refines the estimates using maximum a posteriori (MAP) adaptation. When the method was used for features extraction applied to emotion classification, the results indicate that an improved formant-tracking method will also provide improved emotion classification accuracy. Spectral features contain rich information about expressivity and emotion. However, most of the recent work in affective computing has not progressed beyond analyzing the mel-frequency cepstral coefficients (MFCC’s) and their derivatives. A novel method for characterizing spectral peaks was introduced. The method uses a multi-resolution sinusoidal transform coding (MRSTC). Because of MRSTC’s high precision in representing spectral features, including preservation of high frequency content not present in the MFCC’s, additional resolving power was demonstrated. Facial expressions were analyzed using 53 motion capture (MoCap) markers. Statistical and regression measures of these markers were used for emotion classification along the voice features. Since different modalities use different sampling frequencies and analysis window lengths, a novel classifier fusion algorithm was introduced. This algorithm is intended to integrate classifiers trained at various analysis lengths, as well as those obtained from other modalities. Classification accuracy was statistically significantly improved using a multimodal-multitemporal approach with the introduced classifier fusion method. A practical application of the techniques for emotion classification was explored using social dyadic plays between a child and an adult. The Multimodal Dyadic Behavior (MMDB) dataset was used to automatically predict young children’s levels of engagement using linguistic and non-linguistic vocal cues along with visual cues, such as direction of a child’s gaze or a child’s gestures. Although this and similar research is limited by inconsistent subjective boundaries, and differing theoretical definitions of emotion, a significant step toward successful emotion classification has been demonstrated; key to the progress has been via novel voice and visual features and a newly developed multimodal-multitemporal approach.

The demand for human services has grown exponentially in recent years. Self-help groups now fill the gap between consumer needs and the reach of traditional health care. This study examines the perception of the members of these groups toward the professional community. Four self-help groups, all based on principles of Alcoholics Anonymous (AA) and all primarily concerned with the control of excessive behavior were examined: (1) Parents Anonymous (PA), (2) Overeaters Anonymous (OA), (3) Alcoholics Anonymous (AA) and (4) Narcotics Anonymous (NA). A 60 item questionnaire was designed to obtain the following information: (1) demographic, (2) membership participation, (3) professional contact, and (4) attitude expression regarding respondents' perception of their particular self-help group, perceptions of health care professionals and perceptions of society's beliefs regarding their behavior. Among the 110 respondents from the four groups responding to the questionnaire, (overall return rate of 52%), there was strong support of the methods and conduct of the self-help groups. Criticism of the self-help groups was negligible. Criticism of the health care community was consistently strong, although respondents indicated relatively high usage of health care providers. The respondents from all four groups appeared to support any individual member's decision to pursue whatever assistance that individual might deem necessary, but maintained firm delineation between the individual's freedom to choose alternative or adjunctive assistance and the group's decision to remain "forever nonprofessional". Despite a common theoretical background, the groups have developed in different directions. PA, which has included health care professionals as group sponsors since its inception, was more open to professional involvement in group affairs than the others and cited a higher rate of professional referral to the group. OA, with less mental health contact and with more medical involvement, expressed greater reluctance to involve professionals in any aspect of the group's activities. AA and NA tended to take more intermediate positions, however, both groups were firmly against professional involvement in group activities. Information of this nature may assist professionals and self-help groups in developing a collaborative and respectful working relationship.

Cette thèse est effectuée en collaboration entre le LaBRI (Laboratoire bordelais de recherche en informatique) et MIRANE S.A.S., le leader français en Publicité sur Lieu de Vente (PLV) Dynamique. Notre but est d'analyser des comportements humains dans un point de vente. Le long de cette thèse, nous présentons un système d'analyse vidéo composé de plusieurs procédés de divers niveaux. Nous présentons, dans un premier temps, l'analyse vidéo de bas niveau composée de la détection de mouvement et du suivi d'objets. Puis nous analysons le comportement de ces objets suivis, lors de l'analyse de niveau moyen. Finalement, l'analyse de haut-niveau est composée d'une interprétation sémantique de ces comportements et d'une détection de scenarios de haut-niveau. / Along this thesis various subjects are studied, from the lowest to the higher level of video analysis. We first present motion detection and object tracking that compose the low-level processing part of our system. Motion detection aims at detecting moving areas, which correspond to foreground, of an image. The result of motion detection is a foreground mask that is used as input for the object tracking process. Tracking matches and identifies foreground regions across frames. Then, we analyze the behavior of the tracked objects, as the mid-level analysis. At each frame, we detect the current state of action of each tracked object currently in the scene. Finally, the system generates a semantic interpretation of these behaviors and we analyze high-level scenarios as the high-level part of our system. These two processes analyze the series of states of each object. The semantic interpretation generates sentences when state changes occur. Scenario recognition detect three different scenarios by analyzing the temporal constraints between the states.

The possibility that faulty expectations about success and relapse recovery contributed to poor adherence was examined in this study. Support for such an expectancy model was sought through comparing an index of relative task magnitude to adherence rates. Instructions designed to improve adherence through changing expectations about relapse and relapse recovery were also administered to 46 clients in two clinical nutritional programs. Their adherence rates <in days) were compared to the rates obtained from the records of 64 other clients who did not receive the instructions. To further understand the adherence phenomenon, several other measures were obtained from the treatment subjects. These data were compared to adherence rates in an attempt to identify potential co-variate relationships. Statistical procedures including analysis of variance to determine comparability of subject groups, Pearson Product Moment correlations, t tests of the difference between means, and the Lawshe—Baker Nomograph comparing per cent adherence rates were performed on the data. Obtained results did not support the predicted relationship between relative task magnitude and adherence. This may have been due to differences between subjective assessments of task magnitude and the objective measure used in this study. Although improvement in adherence was noted in both treatment groups, statistical significance was achieved only in the university based clinic. Differences in the settings, assisting nutritionists, and participating subjects could have produced these findings. However, because improvement did occur in both settings, and because the techniques may be easily and inexpensively utilized by clinical nutritionists, these instructions were recommended for inclusion as a routine component of nutritional clinic procedures. No strong co-variate relationships were found between adherence and the additional measures included in the study. The only variables which correlated with adherence more than trivially, emotional response to a verbal food stimulus, and imaging ability, did lend support for this cognitively active method of improving adherence.

With the growth of the internet, data from text sources has become increasingly available to researchers in the form of online newspapers, journals, and blogs. This data presents a unique opportunity to analyze human opinions and behaviors without soliciting the public explicitly. In this research, I utilize newspaper articles and the social media service Twitter to infer self-reported public opinions and awareness of climate change. Climate change is one of the most important and heavily debated issues of our time, and analyzing large-scale text surrounding this issue reveals insights surrounding self-reported public opinion. First, I inquire about public discourse on both climate change and energy system vulnerability following two large hurricanes. I apply topic modeling techniques to a corpus of articles about each hurricane in order to determine how these topics were reported on in the post event news media. Next, I perform sentiment analysis on a large collection of data from Twitter using a previously developed tool called the "hedonometer". I use this sentiment scoring technique to investigate how the Twitter community reports feeling about climate change. Finally, I generalize the sentiment analysis technique to many other topics of global importance, and compare to more traditional public opinion polling methods. I determine that since traditional public opinion polls have limited reach and high associated costs, text data from Twitter may be the future of public opinion polling.

The use of visual data representation is increasing the possibilities to exchange information and communicate indifferent contexts all over the world. Communicating food wastage visually to influence consuming patterns isone of these possibilities. Food wastage is currently a much-prioritized topic in Sweden as well as globally due toits negative impacts on society, environment and the economy, and therefore there is much need to bringinnovative solutions supporting reduction of food waste. This thesis presents a qualitative research based on a casestudy of food waste management at Sala municipality in Sweden while exploring the current visual datarepresentation techniques and its further potential to make food waste management more sustainable. The researchframework used in this thesis is based on visual rhetoric and the innovation theories. The thesis analyzes foodwastage from an international perspective, its connection to sustainable development goals and how MatomaticAB uses a visual data representation tool to address food wastage.The thesis further explains how the users associated with Sala municipality interpret the existing tool, thechallenges they face and review their expectations to build a new visual data representation model. The results ofquestionnaires filled by user’s, state that 50% of the respondents understand the current tool to its full capacityand only 50% of the respondents are satisfied with the overall tool. When it comes to the choice of datapresentation 67% of the users showed interest in use of infographics instead of the conventional bar graphs, andtherefore some parameters like, making the tool more interesting using infographics, user friendly by limiting thedata displayed and interactive by giving user options to explore further as per their liking, were thought whiledesigning the new visual data representation model.

Dendroarchaeological samples can contain three kinds of information: chronological, behavioral, and environmental. The decisions of past people regarding species selection, beam size, procurement and modification techniques, deadwood use, and stockpiling are the most critical factors influencing an archaeological date distribution. Using dendrochronological samples from prehistoric and historic period sites in the same area of eastern Utah, this paper examines past human behavior as the critical factor in dendroarchaeological date distributions.

The diploma thesis analyses the influence of money on the economic instability by the view of Post Keynesian economic theory. The paper answers the question, what creates the economic instability and if it's possible to eliminate or least reduce the instability. The money is here always seen as credit, which is made by institutions on the financial market. We need trust to create money. However the confidence is based on long-term expectations, which are not rational. The result of the analysis is that the trust growth in economy leads to growth of creation of money, whereby more money based on irrational, by psychology influenced expectations, is made. The economy becomes less stable, because there is more money in it, than people will have in the future to pay for its extinction. As the irrational expectation is an exogenous variable, which basically cannot be influenced, the economic instability is ineliminable and therefore allied to economy. We can only reduce instability by focusing on limiting factors in the creation of money, or on areas, where the irrational action can vent itself. Into consideration comes regulation of the financial institutions size, or regulation of international capital flow.

Esta pesquisa tem como tema de estudo as relações interpessoais no cotidiano e o uso das tecnologias de informação e comunicação no fomento de experiências. Seu objetivo é desenvolver um quadro teórico em torno de uma área do design intitulada de design para a experiência. Para tal, a metodologia da pesquisa fundamenta-se na seleção de propostas de design que exploram questões ligadas ao comportamento no espaço doméstico e às tecnologias de informação e comunicação. Em seguida é realizada uma análise qualitativa dessas propostas a partir de alguns critérios também desenvolvidos pela pesquisa. / This research studies the daily interpersonal relations and the information and communication technologies usage to stimulate experiences. The goal is to develop the theoretical references around a design area identified as experience design. In order to achieve that the research methodology is based on the analysis of some design proposals, which explores issues related to the peoples behavior inside the domestic environment and to the information and communication technologies. These proposals are investigated according to principles also developed during the research.