This study investigated the effect of children's prosocial behavior and gender on their abilities to decode and encode facial expressions. Four hypotheses were addressed in this study. The first hypothesis predicted a positive correlation between decoding abilities and pro social behavior of preschool-level children. The second hypothesis made a similar prediction, but between encoding abilities and prosocial behavior. Hypothesis three predicted that female preschoolers would be more accurate in decoding facial affect than would male preschoolers. Finally, hypothesis four predicted that females would have greater success with encoding emotions than would their male counterparts. A total of 132 children from a local private preschool participated in this study. Results showed a non-significant correlation between the decoding abilities of preschoolers and their prosocial behavior. Further analysis of the data revealed a significant negative correlation between the encoding abilities and pro social behavior of preschool children. Support was found for hypothesis three, revealing that females were better decoders of facial affect than were males. Finally, statistical tests indicated that there were no significant differences between females and males and the ability to successfully encode facial expressions. The implications and limitations of the study are discussed and suggestions for future research are offered.

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This diploma thesis is embodied in a wider phraseological project CREAMY (Calvino REpertoire for the Analysis of Multilingual PhraseologY) solved at the University of Rome La Sapienza. The aim of the thesis was to compare the Italian multi-word expressions from the novel Il sentiero dei nidi di ragno, written by Italo Calvino, with their counterparts in the Czech translation by Libor Piruchta, with the aid of a data-set obtained through the phraseological web database CREAMY. Processing of part of the Czech entries into the database was integral to writing the thesis. The work is divided into theoretical and practical part. The first chapter of the theoretical part provides basic information about the CREAMY project and the web application of the same name, which is the main tool used in the research within the project. The second chapter deals with the basic typological properties of the studied languages with emphasis on morphosyntax and word formation. The third chapter is devoted to multi-word expressions and their conception in the Italian and Czech linguistic tradition. The introductory chapter of the practical part describes the procedure of entry processing in the CREAMY application. In this chapter, we present two specific examples of processed entries but we also point out the...

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Recent research has shown that children with language impairment (LI) have increased social difficulties. This study examined the relationship between language skills and emotion understanding through recognition of facial expressions of emotion in children with LI and their typically developing peers. It is a replication of the research of Spackman, Fujiki, Brinton, Nelson, and Allen (2005) and Atwood (2006). Participants consisted of 22 children with LI and 22 age- and gender-matched peers with typically developing language, from the age range of 7:0 to 10:11 years. They were shown photographs of faces conveying one of the following emotions: happiness, sadness, anger, fear, surprise, and disgust; they were then asked to indicate which emotion was being expressed. Group performance was then compared for each of the emotions in question. This study found significant differences between the groups (LI vs. Typical), with the children without LI recognizing each emotion more accurately than those with LI. There was also a significant main effect found for gender and emotion. These differences were qualified by a significant interaction between gender and emotion, which indicated that some emotions were identified by females more correctly than males. Specifically, females identified the emotion disgust more accurately than males. This may provide support for the idea that children with LI may have difficulties with emotion understanding, of which facial expression recognition is a specific and basic aspect; this deficit could negatively impact their social interactions.

This thesis describes a machine learning method for automatically imitating a particular person's facial expressions in a human-like avatar through a hybrid Particle Swarm Optimization - Tabu Search algorithm. The muscular structures of the facial expressions are measured by Ekman and Friesen's Facial Action Coding System (FACS). Using a neutral face as a reference, the minute movements of the Action Units, used in FACS, are automatically tracked and mapped onto the avatar using a hybrid method. The hybrid algorithm is composed of Kennedy and Eberhart's Particle Swarm Optimization algorithm (PSO) and Glover's Tabu Search (TS). Distinguishable features portrayed on the avatar ensure a personalized, realistic imitation of the facial expressions. To evaluate the feasibility of using PSO-TS in this approach, a fundamental proof-of-concept test is employed on the system using the OGRE avatar. This method is analyzed in-depth to ensure its proper functionality and evaluate its performance compared to previous work.

This thesis represents an analysis of symbolic expressions used to convey traditional Chinese cultural values in marital relations as expressed through costumes and lyrics in Peking Opera plays and performances. Two symbols, dragon and phoenix, were selected from the costume collection. Four symbols--bird, tiger, wild goose, and dragon--were selected from compilations of lyrics. These symbols were selected because they expressed Chinese core cultural values, an imperial ideology based on Confucian thoughts, which were practiced rigidly during Qing Dynasty (1644-1911). Modeling Theory is applied to argue that dragon and phoenix as visual symbols convey ideas about characters' background, marital relationship, social status shifts, and socio-culturally desirable values. Social Drama Theory is employed to analyze the lyrics to understand how ideal images of husband and wife are constructed. The archetypes of Chinese traditional culture that have influenced Chinese thought and action for centuries are discovered and discussed.

Many students struggle to make sense of algebraic expressions in math. This lack of understanding results in students making symbolic manipulation errors, hindering their procedural fluency. Researchers believe these errors are linked to students' lack of structural reasoning. While research has shown that students rarely engage in expert structural reasoning, little is known about how students actually reason structurally. In this study, I interviewed six high school calculus students to study the way they identified, matched, and evaluated structures as they solved problems involving rational expressions and equations. I analyzed the participant interviews and outlined the matching process they used and the types of evaluations they made during this matching process. Consequently, I was able to confirm that students were using structural reasoning throughout the tasks and that effective student structural reasoning was characterized by identifying structures using operational hierarchical reasoning and matching them to correct rules. These findings have the potential to help teachers better instruct students on using and identifying structure, leading to less frustration by students and teachers in algebra.

Lexical inferencing is considered a listening strategy that is commonly employed by advanced EFL (English as a Foreign Language) listeners and a factor that contributes to successful listening comprehension. However, investigations of the factors that influence inferencing success in listening as well as how much each factor contributes to success are scant, as more studies have been conducted exploring lexical inferencing in reading. In addition, even though idiomatic expressions such as smell a rat, jump the gun, and go cold turkey are ubiquitous in the English language, especially in oral communication, and they are considered crucial in both first language (L1) and second language (L2) acquisition, little is known about the effectiveness of inferencing strategies where idiomatic expressions are concerned.Three goals motivated the current study. The first goal was to investigate whether inferencing is an effective strategy in the case where the target item is an idiomatic expression. The second goal was to investigate how four person-level factors, familiarity, listening proficiency, listening vocabulary size and working memory, two sentence-level factors, lexical density and sentence length, and two lexical-level factors, L1–L2 congruency and semantic transparency, influence the inferencing success of English idiomatic expressions in listening. The third goal, related to the second goal, was to determine which of the two lexical component factors, L1–L2 congruency and semantic transparency, is more important to inferencing success. A mixed methods design, the explanatory sequential design (Creswell & Plano Clark, 2018), was employed in this study. Quantitative data were collected from 89 EFL Japanese university students using a Listening Vocabulary Levels Test, a Listening Span Test, and an Idiom Inferencing Elicitation Task. The collected data were examined using mixed-effects logistic regression. Twelve participants were invited to participate in follow-up interviews based on their response patterns on the Idiom Inferencing Elicitation Task. The quantitative results indicated that familiarity, listening comprehension skills, working memory, and L1–L2 congruency were significant factors influencing inferencing success and the qualitative results supported these findings. In addition, the qualitative analyses suggested that depth of vocabulary is another potentially important factor. Furthermore, listening comprehension moderated the L1–L2 congruency effect. The finding that semantic transparency is not an influential factor in successful inferencing of unfamiliar idiomatic expressions provides evidence that the semantic transparency of known idiomatic expressions formed after learners acquire the meaning of the expression is a different construct from the perceived semantic transparency of unfamiliar idiomatic expressions. In addition, even though the sentence-level factors were not statistically significant in successful idiom inferencing in this study, further studies are required in order to see if this result holds true when the characteristics of the listening tasks differ from those of the task used in this study. It is hoped that the findings provide insights into how to help Japanese university EFL learners improve their listening skills, especially in tasks that include unfamiliar idiomatic expressions. / Teaching & Learning

The purpose of this research was to enhance the methods towards the development of an efficient three dimensional face recognition system. More specifically, one of our aims was to investigate how the use of curvature of the diagonal profiles, extracted from 3D facial geometry models can help the neutral face recognition processes. Another aim was to use a gender classifier employed on 3D facial geometry in order to reduce the search space of the database on which facial recognition is performed. 3D facial geometry with facial expression possesses considerable challenges when it comes face recognition as identified by the communities involved in face recognition research. Thus, one aim of this study was to investigate the effects of the curvature-based method in face recognition under expression variations. Another aim was to develop techniques that can discriminate both expression-sensitive and expression-insensitive regions for ii face recognition based on non-neutral face geometry models. In the case of neutral face recognition, we developed a gender classification method using support vector machines based on the measurements of area and volume of selected regions of the face. This method reduced the search range of a database initially for a given image and hence reduces the computational time. Subsequently, in the characterisation of the face images, a minimum feature set of diagonal profiles, which we call T shape profiles, containing diacritic information were determined and extracted to characterise face models. We then used a method based on computing curvatures of selected facial regions to describe this feature set. In addition to the neutral face recognition, to solve the problem arising from data with facial expressions, initially, the curvature-based T shape profiles were employed and investigated for this purpose. For this purpose, the feature sets of the expression-invariant and expression-variant regions were determined respectively and described by geodesic distances and Euclidean distances. By using regression models the correlations between expressions and neutral feature sets were identified. This enabled us to discriminate expression-variant features and there was a gain in face recognition rate. The results of the study have indicated that our proposed curvature-based recognition, 3D gender classification of facial geometry and analysis of facial expressions, was capable of undertaking face recognition using a minimum set of features improving efficiency and computation.