This study aims from a gender perspective to examine how the audience pay attention to people of power in news media. To examine this we viewed how televiewers pay attention to party leaders in televised political debates. The studys gender perspective can be divided into two main aspects, on one hand whether the party leaders gender have any impact on the televiewers attention and on the other hand whether the televiewers gender have any impact on how they divide their attention. The questions examined are “how do televiewers pay attention to male versus female party leaders in political televised debates?” and “what differences and similarities can be found in how male versus female televiewers pay attention to party leaders in political televised debates?”. To get a comprehensive understanding of the audiences attention we combined two different methods; eye tracking methodology and qualitative interview. Eye tracking generated objective knowledge of the televiewers visual fixations while the qualitative interview gave us a deeper understanding of their memorialization. Five men and five women participated in this study.  Our results show that our participants give more detailed attention to the female party leaders appearances, while to a greater extent remembering the male party leaders political statements. We found more similarities than differences in how male versus female televiewers pay attention to party leaders, both with and without regard of the party leaders gender. For example male politicians seem to be the norm for what makes a party leader, since many participants primarily tend to fixate on them while also remembering their statements. However, our male participants tend to make fewer but longer fixations while our female participants instead tend to make more but shorter fixations. To summarize the results, we can see that both the party leaders and the televiewers gender have an significance to the televiewers attention.

L'oculométrie est un ensemble de techniques dédié à enregistrer et analyser les mouvements oculaires. Dans cette thèse, je présente l'étude, la conception et la mise en œuvre d'un système oculométrique numérique, non-intrusif permettant d'analyser les mouvements oculaires en temps réel avec une webcam à distance et sans lumière infra-rouge. Dans le cadre de la réalisation, le système oculométrique proposé se compose de quatre modules: l'extraction des caractéristiques, la détection et le suivi des yeux, l'analyse de la variété des mouvements des yeux à partir des images et l'estimation du regard par l'apprentissage. Nos contributions reposent sur le développement des méthodes autour de ces quatre modules: la première réalise une méthode hybride pour détecter et suivre les yeux en temps réel à partir des techniques du filtre particulaire, du modèle à formes actives et des cartes des yeux (EyeMap); la seconde réalise l'extraction des caractéristiques à partir de l'image des yeux en utilisant les techniques des motifs binaires locaux; la troisième méthode classifie les mouvements oculaires selon la variété générée par le Laplacian Eigenmaps et forme un ensemble de données d'apprentissage; enfin, la quatrième méthode calcul la position du regard à partir de cet ensemble d'apprentissage. Nous proposons également deux méthodes d'estimation:une méthode de la régression par le processus gaussien et un apprentissage semi-supervisé et une méthode de la catégorisation par la classification spectrale (spectral clustering). Il en résulte un système complet, générique et économique pour les applications diverses dans le domaine de l'oculométrie. / Gaze tracker offers a powerful tool for diverse study fields, in particular eye movement analysis. In this thesis, we present a new appearance-based real-time gaze tracking system with only a remote webcam and without infra-red illumination. Our proposed gaze tracking model has four components: eye localization, eye feature extraction, eye manifold learning and gaze estimation. Our research focuses on the development of methods on each component of the system. Firstly, we propose a hybrid method to localize in real time the eye region in the frames captured by the webcam. The eye can be detected by Active Shape Model and EyeMap in the first frame where eye occurs. Then the eye can be tracked through a stochastic method, particle filter. Secondly, we employ the Center-Symmetric Local Binary Patterns for the detected eye region, which has been divided into blocs, in order to get the eye features. Thirdly, we introduce manifold learning technique, such as Laplacian Eigen-maps, to learn different eye movements by a set of eye images collected. This unsupervised learning helps to construct an automatic and correct calibration phase. In the end, as for the gaze estimation, we propose two models: a semi-supervised Gaussian Process Regression prediction model to estimate the coordinates of eye direction; and a prediction model by spectral clustering to classify different eye movements. Our system with 5-points calibration can not only reduce the run-time cost, but also estimate the gaze accurately. Our experimental results show that our gaze tracking model has less constraints from the hardware settings and it can be applied efficiently in different real-time applications.

The evaluation of the gloss of human hair, following wet/dry chemical treatments such as bleaching, dyeing and perming, has received much scientific and commercial attention. Current gloss analysis techniques use constrained viewing conditions where the hair tresses are observed under directional lighting, within a calibrated presentation environment. The hair tresses are classified by applying computational models of the fibres' physical and optical attributes and evaluated by either a panel of human observers, or the computational modelling of gloss intensity distributions processed from captured digital images. The most popular technique used in industry for automatically assessing hair gloss is to digitally capture images of the hair tresses and produce a classification based upon the average gloss intensity distribution. Unfortunately, the results from current computational modelling techniques are often found to be inconsistent when compared to the panel discriminations of human observers. In order to develop a Gloss Evaluation System that produces the same judgements as those produced from both computational models and human psychophysical panel assessments, the human visual system has to be considered. An image based Gloss Evaluation System with gonio-capture capability has been developed, characterised and tested. A new interpretation of the interaction between reflection bands has been identified on the hair tress images and a novel method was developed to segment the diffuse, chroma and specular regions from the image of the hair tress. A new model has been developed, based on Hunter's contrast gloss approach, to quantify the gloss of the human hair tress. Furthermore, a large number of hair tresses have been treated with a range of hair products to simulate different levels of hair shine. The Tresses have been treated with different commercial products. To conduct a psychophysical experiment, one-dimensional scaling paired comparison test, a MATLAB GUI (Graphical user interface) was developed to display images of the hair tress on calibrated screen. Participants were asked to select the image that demonstrated the greatest gloss. To understand what users were attending to and how they used the different reflection bands in their quantification of the gloss of the human hair tress, the GUI was run on an Eye-Tracking System. The results of several gloss evaluation models were compared with the participants' choices from the psychophysical experiment. The novel gloss assessment models developed during this research correlated more closely with the participants' choices and were more sensitive to changes in gloss than the conventional models used in the study.

Behavioural scientists argue that ‘social learning' provides the link between biological phenomena and cultural phenomena because of its role in the ‘cultural transmission' of knowledge among individuals within and across generations. However, leading authors within the social sciences have proposed alternative ways of thinking about social life not founded on the Modern oppositions including nature-culture, biology-culture, body-mind, and individual-society. Similarly, the distinction between a domain of nature and a domain of nurture has also been extensively criticized within biology. Finally, advocates of ‘radical embodied cognitive science' offer an alternative to the representational-computational view of the mind which supports the conventional notion of culture and cultural information. This thesis attempts to integrate developmental systems theory, radical embodied cognitive science, and relational thinking, with the goal to bring the field of social learning closer to these critical theoretical developments. In Chapter 2, I find no justification for the claim that the genome carries information in the sense of specification of biological form. Chapter 3 presents a view of ontogeny as a historical, relational, constructive and contingent process. Chapter 4 uses the notions of environmental information, abilities, affordances, and intentions to make sense of behaviour and learning. In Chapter 5, I argue that the notion of social learning can be understood in terms of relational histories of development rather than in terms of transmission of information. I then report empirical studies investigating behavioural coordination and social learning consistent with this theoretical framework. Chapter 6 presents evidence that dyads in a joint making activity synchronize their attention constrained by their changing situation and that coordination of attention is predictive of implicit and explicit learning. Chapter 7 presents evidence that joint attention does not require gaze following and that attentional coordination is predictive of learning a manual task. Together, these theoretical and empirical studies suggest a new way of thinking about how humans and other animals live and learn socially, one that is consistent with critical theoretical and philosophical developments that are currently neglected in the literature on social learning.

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<p>U okviru disertacije predložen je nacrt za generisanje efektne kompleksnosti<br />štampanog oglasa na osnovu generisanja kompleksnih tipografskih odlika i<br />generisanja kompleksnosti slike. Predmet disertacije predstavljao je razvoj<br />modela efektnosti tipografije u štampanim oglasima na osnovu uticaja<br />semantičih odlika, odnosno kompleksnih odlika formalnih atributa slovnog<br />znaka. Predložen model dopunjuje postojeći prilaz uloge tipografije u<br />oglašavanju u okviru segmenta uticaja kompleksnih oblika tipografskog pisma.<br />Na osnovu predloženog modela projektuje se onlajn aplikacija za procenu<br />efektnosti odnosa između kompleksnih tipografskih odlika i slike koja ima<br />praktični značaj za proces grafičkog dizajna.</p> / <p>This dissertation proposes a framework for generating effective complexity of print<br />advertisements based on the generated complexity of typeface properties and image<br />complexity. The subject area of the dissertation was a development of a model for the<br />effectiveness of typography in print advertisements. The model takes into account the<br />effects of typeface semantic properties i.e. complex features of the letter&rsquo;s formal<br />attributes. This approach updates the existing model of the role of typography in<br />advertising. Specifically, it updates the category on the influence of the form<br />complexity. Furthermore, based on the proposed model, a concept fora n online<br />application is presented. The purpose of the application a practical assistance for<br />graphic designers which provides information on the effectiveness of the relationship<br />between the complex typeface properties and image complexity.</p>

This study applied dual processing theory, the theory of working memory, and the theory of cue summation to examine how the video and audio in a television news story interact with or against each other when the story uses pull quote graphics to convey key information to viewers. Using eye-tracking, the study produced visual depictions of exactly what viewers look at on the screen when the words in the reporter's voice track match the text in the pull quote graphic verbatim, when the reporter summarizes the text in the graphic, and when the reporter's voice track ignores the text in the pull quote. The study tested the effect on recall when viewers were presented with these three story conditions—high redundancy, medium redundancy, and low redundancy, respectively. Key findings included the following: first, that stories with low redundancy resulted in lower recall and memory sensitivity scores (a measure of memory strength) than pull quotes that the reporter either summarized or read verbatim on the air. Second, it was found that neither high-redundancy nor medium-redundancy stories were superior or inferior to the other when looking at the effect on recall and memory sensitivity. And finally, in high-, medium-, and low-redundancy conditions, subjects stated that they relied more on the reporter's narration than the pull quote to get information. The study states possible implications for news producers and reporters and suggests future research in the broadcast television news industry.

A link between eye movement mechanics and the mental processing associated with text reading has been established in the past. The pausing of an eye gaze on a specific word within a sentence reflects correctness or fluency of a translated text. A cognitive translation system has been built employing a single, inexpensive web camera without the use of infrared illumination. It was shown that the system translates the text, detects rarely occurring and out-of-context words from eye gaze information, and provides solutions in real time while the user is still reading. The solutions are in form of a translation, definition or synonym for the word in question. The only effort required is that of reading.

This study applied dual processing theory, the theory of working memory, and the theory of cue summation to examine how the video and audio in a television news story interact with or against each other when the story uses pull quote graphics to convey key information to viewers. Using eye-tracking, the study produced visual depictions of exactly what viewers look at on the screen when the words in the reporter's voice track match the text in the pull quote graphic verbatim, when the reporter summarizes the text in the graphic, and when the reporter's voice track ignores the text in the pull quote. The study tested the effect on recall when viewers were presented with these three story conditions—high redundancy, medium redundancy, and low redundancy, respectively. Key findings included the following: first, that stories with low redundancy resulted in lower recall and memory sensitivity scores (a measure of memory strength) than pull quotes that the reporter either summarized or read verbatim on the air. Second, it was found that neither high-redundancy nor medium-redundancy stories were superior or inferior to the other when looking at the effect on recall and memory sensitivity. And finally, in high-, medium-, and low-redundancy conditions, subjects stated that they relied more on the reporter's narration than the pull quote to get information. The study states possible implications for news producers and reporters and suggests future research in the broadcast television news industry.

Des niveaux d'automatisation élevés sont intégrés dans les environnements critiques pour satisfaire la demande croissante de systèmes plus sûrs. Cette philosophie déplace les opérateurs vers un rôle de supervision et crée de nouveaux problèmes appelés problèmes de performance liés à la sortie de boucle (SDB). L'émergence de pensées sans lien avec ici et maintenant, ou divagation attentionnelle (DA), pourrait affecter les opérateurs dans des situations de SDB par le biais du découplage perceptuel induit. Cette thèse a étudié la dynamique de la DA dans les situations de SDB et son influence sur les opérateurs. Nous avons en premier lieu examiné les preuves dans la littérature pointant vers un lien entre le problème de performance lié à la SDB et la DA. Nous avons complété cette analyse théorique en rapportant la tendance des pilotes (collectée avec un questionnaire) à rencontrer plus de problèmes avec leur pilote automatique pour ceux ayant une plus grande propension au MW non lié à la tâche. Nous avons ensuite mené trois expériences dans des conditions de SDB. Nous avons observé une augmentation significative des épisodes de DA dans les situations de SDB quelle que soit la fiabilité du système, par rapport aux conditions manuelles. Les épisodes de DA étaient également accompagnés d'un découplage perceptuel vis-à-vis de la tâche créé par la DA non lié à la tâche. Ce découplage était visible sur des rapports de demande mentale ainsi que les signaux oculométriques et encéphalographiques. Dans l'ensemble, nos résultats démontrent la possibilité d'utiliser des marqueurs physiologiques de la DA dans des environnements de SDB complexes. Nous discutons de nouvelles perspectives d'utilisation des marqueurs de la DA pour caractériser les problèmes de performance liés à la SDB. Sans vouloir arrêter aveuglément l'émergence de la DA, qui pourrait être bénéfique pour les opérateurs, les recherches futures devraient se concentrer sur la conception de systèmes capables de gérer la DA et d'identifier les informations nécessaires pour faciliter la rentrée de l'opérateur dans la boucle de contrôle. / Higher levels of automation are progressively integrated in critical environments to satisfy the increasing demand for safer systems. Such philosophy moves operators to a supervisory role, also called out-of-the-loop (OOTL) situations. Unfortunately, OOTL situations also create a new kind of human-machine interaction issues, called OOTL performance problem. The dramatic consequences of OOTL performance problem stress the need to identify which mechanisms could influence their appearance. The emergence of thoughts unrelated to the here and now, labeled mind wandering (MW), could affect operators in OOTL situations through the perceptual decoupling induced. This thesis investigates MW dynamic in OOTL situations and its influence on operators. We firstly reviewed the evidences in the literature underlining a link between OOTL performance problem and MW. We completed theoretical insights by reporting pilots' tendency (collected with a questionnaire) to encounter more problems with autopilots when experiencing more task-unrelated MW. Then, we conducted three experiments in OOTL conditions using an obstacle avoidance task. With non-expert population and sessions longer than 45 minutes, we observed a significant increase of MW in OOTL situations compared to manual conditions, independently of system reliability. MW episodes were also accompanied by a perceptual decoupling from the task induced by task-unrelated MW. This decoupling was visible on reports of mental demand as well as oculometric (pupil size, blinks) and encephalographic (N1 component, alpha activity) signals. Overall, our results demonstrate the possibility to use physiological markers of MW in complex OOTL environments. We discuss new perspectives towards the use of MW markers to characterize the OOTL performance problem. Instead of blindly stopping MW episodes, which could have benefits for operators, future research should focus on designing systems able to cope with MW and identify information needed to facilitate the reentry in the control loop when needed.