O presente estudo tem como propósito analisar a gestão da imagem em um tipo de interação marcada pela polêmica, na qual ocorre o emprego agressivo do trabalho de face. Assim, analisar-se-ão as estratégias de ataque, defesa e valorização das faces em um tipo de interação específica no caso, o debate político em que predominam relações de descortesia entre falantes e ouvintes. Entendemos que a imagem cumpre um papel imprescindível no trabalho de persuasão empreendido pelos interactantes em interações cuja lógica é o conflito. Em razão disso, tomamos, como fundamentação teórica para a abordagem dos mecanismos discursivos, dos quais os interactantes fazem uso em trocas verbais regidas, em sua maioria, por atos de descortesia verbal, pressupostos de teorias que contemplem questões pertinentes para a análise do corpus, como a Análise da Conversação, a Pragmática sobretudo os estudos de Goffman e Brown e Levinson acerca da face bem como as contribuições da Teoria da Argumentação de Perelman e Olbrechts Tyteca, referentes à investigação das estratégias argumentativas de persuasão. Ademais, em virtude de analisarmos um tipo de interação cujo propósito é - mediante atos deliberados de descortesia isto é, atos intencionais - denegrir a imagem do outro e, em contrapartida, construir uma autoimagem, à qual o auditório atribua credibilidade, consideramos que a descortesia consiste em um tipo específico de estratégia, assumindo, assim, uma finalidade argumentativa: no caso, a de influenciar o auditório a atribuir juízos de valor negativos àquele cuja face é ameaçada por atos de descortesia, ou seja, por meio da desconstrução da imagem do outro na interação. Por essa razão, consideramos a necessidade de tomarmos, ainda, como embasamento teórico, as contribuições de estudiosos - sobretudo Aquino e Erlich - cujos trabalhos têm como objetivo analisar a polêmica nas interações verbais atrelada à questão da argumentação. O corpus, do qual fizemos uso, constitui-se da transcrição do primeiro debate do segundo turno, relativo às eleições de 1998, realizado em São Paulo, entre os candidatos ao governo: Mario Covas e Paulo Maluf. / The purpose of the present study is to analyse the management of image in an interaction determined by polemic, where occurs the offensive use of the face work. So, the strategies of attack, defence and valorization of faces will be analysed in a particular kind of interaction - the political debate - in which impoliteness relations between hearers and speakers predominate. Then, we think image takes an indispensable part at the persuasion work, carried out by the interlocutors, in interactions where the logic is the conflict. This way, we take as theorical basis, to the approach of the speech mechanisms used by interlocutors in verbal exchanges - most of which are ruled by impoliteness - assumptions of theories that rely on relevant issues for the corpus analysis, such as : Conversational Analysis the Pragmatic especially Goffmans, Browns, and Levinsons studies upon the face - as well as the contributions of Argumentation Theory by Perelman and Olbrechts Tyteca, referring to the investigation of the Persuasion Argumentative Strategies. Nevertheless, as we analyse the kind of interaction which purpose is, through deliberated and intentional impoliteness actions, to defame the others image and on the other hand, to build up a self image that might catch the audiences belief, we understand impoliteness is a particular strategy that assembles an argumentative purpose: influence the audience to attribute negative judgements to the one whose face is threatened by impoliteness actions, as to unmake the others image in the interaction. Thats why its necessary to take into account the theorical basis of the experts contributions especially Aquino and Erlich whose works analyse polemic at verbal interactions in addition to argumentation. The corpus weve used refers to the transcription of the first debate at the second poll in 1998 elections, which took place in São Paulo, between the government candidates : Mário Covas and Paulo Maluf.

This thesis used pupillometry to investigate whether pupils respond differently to faces that differ in familiarity. We aimed to see whether pupillometry measures cognitive processes involved in face processing, and whether it could be applied forensically. We started by evaluating three explanations for pupillary changes that occur when processing faces. The first was cognitive load (mental effort), because faces that have only been seen briefly are more difficult to recognise than well-known faces. The second was cognitive engagement (interest), because faces contain socially-important information. The third was memory strength (forensically applicable), as eyewitnesses have to recall a perpetrator's face in an attempt to identify them if they appear in a lineup. While pupillary responses reflected cognitive engagement to some extent, cognitive load best accounted for decreasing pupil sizes when learning new faces, and memory strength explained the pupillary changes seen in lineups. The theories all had some influence on pupil sizes, but their influence varied according to context, saliency, and the task at hand. Then we investigated whether pupillometry measured implicit recognition of a perpetrator in a lineup, and found that it did. Pupil sizes reflected memory strength in participants who believed their memory to be strong: there were differences in pupil sizes (between looking at the perpetrator and the distractors) in participants who identified him, but not in those who did not. The pupillary responses of participants who 'guessed' indicated that they were indeed guessing. There were no pupillary changes when the perpetrator was not in the lineup, even when participants misidentified a distractor. We concluded that pupillary responses are independent of explicit identification responses, and could be used forensically to support traditional measures of eyewitness identification and credibility.

Thesis (M.D.S.)--University of Hong Kong, 1989. / Includes bibliographical references (p. 66-70). Also available in print.

Thesis (M.S.)--University of Delaware, 2007. / Principal faculty advisor: David G. Edwards, Dept. of Health, Nutrition, and Exercise Sciences. Includes bibliographical references.

<p>The purpose of this project is to test and improve people’s ability of face recognition. </p><p>Although there are some tests on the internet with the same purpose, the problem is that people </p><p>may feel bored and give up before finishing the tests. Consequently they may not benefit from </p><p>testing nor from training. To solve this problem, face recognition and online game are put </p><p>together in this project. The game is supposed to provide entertainment when people are playing, </p><p>so that more people can take the test and improve their abilities of face recognition. </p><p>In the game design, the game is assumed to take place in the face recognition lab, which is </p><p>an imaginary lab. The player plays the main role in this game and asked to solve a number of </p><p>problems. There are several scenarios waiting for the player, which mainly need face recognition </p><p>skills from the player. At the end the player obtains the result of evaluation of her/his skills in </p><p>face recognition.</p>

Ce travail s'intéresse à l'effet de la catégorisation raciale et de genre dans la mémoire des visages. Les études effectuées montrent que la première induit une polarisation de la seconde. Ainsi, des visages catégorisés dans une catégorie particulière sont rappelés comme plus typiques de leur catégorie et moins typiques de catégories alternatives. Cet effet est observé à la fois dans le cas de visages fortement ambigus catégorisés sur base du contexte et dans le cas de visages modérément ambigus catégorisés sur base de leurs traits. Les implications pratiques et théoriques de ces résultats sont discutées.

Ce travail s'intéresse à l'effet de la catégorisation raciale et de genre dans la mémoire des visages. Les études effectuées montrent que la première induit une polarisation de la seconde. Ainsi, des visages catégorisés dans une catégorie particulière sont rappelés comme plus typiques de leur catégorie et moins typiques de catégories alternatives. Cet effet est observé à la fois dans le cas de visages fortement ambigus catégorisés sur base du contexte et dans le cas de visages modérément ambigus catégorisés sur base de leurs traits. Les implications pratiques et théoriques de ces résultats sont discutées.

To date, relatively little research has investigated participants’ ability to monitor their memory for faces and names. Four experiments were conducted with aim of developing a comprehensive profile of memory monitoring performance during face identification tasks. In each experiment, memory monitoring judgements were solicited during encoding and/or retrieval of unfamiliar face-name pairs. In general, subjective estimates of future and past memory performance were valid predictors of objective memory performance, regardless of whether a face or name was the item to be retrieved from memory. As a test of the stability of memory monitoring accuracy across different categories of stimuli, memory monitoring for face-name pairs was compared with noun-noun pairs. The predictive validity of estimates of future memory performance was similar across the categories of stimuli, but the predictive validity of estimates of past memory performance was superior for nouns compared with names. A subset of the studies examined the influence of face and name distinctiveness on memory and memory monitoring for face-name associations. This was done in an attempt to identify sources of information that individuals might use to monitor their memory during face-name learning. The beneficial effects of distinctiveness on associative memory were symmetrical between faces and names, such that relative to their typical counterparts, distinct faces enhanced memory for names, and distinct names enhanced memory for faces. These effects were also apparent in memory monitoring. Estimates of future and past memory performance were greater for face-name associations that contained a distinct face or name compared with a typical face or name, regardless of whether the distinct item was a cue or target. Moreover, the predictive validity of prospective monitoring improved with name distinctiveness, whereas the predictive validity of retrospective monitoring improved with facial distinctiveness. Altogether, the results of the dissertation indicate that participants can monitor their memory for faces and names at a level above chance, that retrospective metamemory is more accurate for nouns compared with names, and that distinctiveness not only affects the strength of the association between a face and a name, but also the ability to monitor that association.

To date, relatively little research has investigated participants’ ability to monitor their memory for faces and names. Four experiments were conducted with aim of developing a comprehensive profile of memory monitoring performance during face identification tasks. In each experiment, memory monitoring judgements were solicited during encoding and/or retrieval of unfamiliar face-name pairs. In general, subjective estimates of future and past memory performance were valid predictors of objective memory performance, regardless of whether a face or name was the item to be retrieved from memory. As a test of the stability of memory monitoring accuracy across different categories of stimuli, memory monitoring for face-name pairs was compared with noun-noun pairs. The predictive validity of estimates of future memory performance was similar across the categories of stimuli, but the predictive validity of estimates of past memory performance was superior for nouns compared with names. A subset of the studies examined the influence of face and name distinctiveness on memory and memory monitoring for face-name associations. This was done in an attempt to identify sources of information that individuals might use to monitor their memory during face-name learning. The beneficial effects of distinctiveness on associative memory were symmetrical between faces and names, such that relative to their typical counterparts, distinct faces enhanced memory for names, and distinct names enhanced memory for faces. These effects were also apparent in memory monitoring. Estimates of future and past memory performance were greater for face-name associations that contained a distinct face or name compared with a typical face or name, regardless of whether the distinct item was a cue or target. Moreover, the predictive validity of prospective monitoring improved with name distinctiveness, whereas the predictive validity of retrospective monitoring improved with facial distinctiveness. Altogether, the results of the dissertation indicate that participants can monitor their memory for faces and names at a level above chance, that retrospective metamemory is more accurate for nouns compared with names, and that distinctiveness not only affects the strength of the association between a face and a name, but also the ability to monitor that association.

Image-based face recognition has attained wide applications during the past decades in commerce and law enforcement areas, such as mug shot database matching, identity authentication, and access control. Existing face recognition techniques (e.g., Eigenface, Fisherface, and Elastic Bunch Graph Matching, etc.), however, do not perform well when the following case inevitably exists. The case is that, due to some variations in imaging conditions, e.g., pose and illumination changes, face images of the same person often have different appearances. These variations make face recognition techniques much challenging. With this concern in mind, the objective of my research is to develop robust face recognition techniques against variations. This thesis addresses two main variation problems in face recognition, i.e., pose and illumination variations. To improve the performance of face recognition systems, the following methods are proposed: (1) a face feature extraction and representation method using non-uniformly selected Gabor convolution features, (2) an illumination normalization method using adaptive region-based image enhancement for face recognition under variable illumination conditions, (3) an eye detection method in gray-scale face images under various illumination conditions, and (4) a virtual pose generation method for pose-invariant face recognition. The details of these proposed methods are explained in this thesis. In addition, we conduct a comprehensive survey of the existing face recognition methods. Future research directions are pointed out.