Performance perceptive dans l’autisme : du facteur «g» au facteur «p»

La perception est de plus en plus reconnue comme fondamentale à la compréhension du phénotype autistique. La première description de l’autisme, par Kanner en 1947, fait état d’un profil cognitif hétérogène caractérisé par des habiletés exceptionnelles à l’intérieur de domaines spécifiques de la perception (ex., la musique). L’accumulation des observations cliniques sur la présence de particularités perceptives a mené à l’élaboration d’études empiriques permettant d’objectiver des surfonctionnements dans le traitement élémentaire de l’information perceptive dans l’autisme. Parallèlement, des études cognitives suggèrent la présence d’une « intelligence différente » chez les personnes autistes. Celle-ci serait caractérisée par une dissociation entre des performances à différents tests d’intelligence fortement corrélés ensemble chez les personnes typiques. Le potentiel intellectuel des personnes autistes serait sous-estimé lorsque mesuré par l’échelle de Wechsler, plutôt que des mesures d’intelligence fluide comme les Matrices Progressives de Raven. Avec l’appui d’études en imagerie cérébrale, ces résultats suggèrent une relation unique entre la perception et l’intelligence chez cette population clinique. Étant donné l’accumulation de preuves sur 1) la présence d’atypies perceptuelles, 2) le rôle différent de la perception dans l’intelligence et 3) l’importance des comportements répétitifs et intérêts restreints dans le phénotype autistique (DSM-5), le premier volet de cette thèse s’est intéressé à la relation entre les performances perceptives des personnes autistes et celle des personnes ayant un développement typique, au-delà de ce qui est expliqué par l’intelligence. À l’aide de modèles de régression linéaire, les résultats démontrent un profil de covariation spécifique à l’autisme pour les habiletés plurimodales. Contrairement aux personnes ayant un développement typique, ces associations persistent au-delà de ce qui est expliqué par l’intelligence générale ou par l’efficacité générale des systèmes perceptifs. Ce profil de covariation résiduelle propre aux personnes autistes suggère la présence d’un facteur plurimodal spécifique à ce groupe clinique : le facteur « p ». Le deuxième volet de cette thèse s’est intéressé à la prévalence des habiletés exceptionnelles au niveau individuel, la relation les forces perceptives et les talents, ainsi qu’aux facteurs de prédisposition en lien avec le développement d’habiletés exceptionnelles. Les forces perceptives des personnes autistes furent évaluées à l’aide de tâches expérimentales sensibles à la détection de surfonctionnements perceptifs, soit une tâche de discrimination de hauteurs sonores et une version modifiée du sous-test « Blocs » de l’échelle d’intelligence de Wechsler. Les talents furent évalués de manière clinique à l’aide de l’ADI-R (« Autism Diagnostic Interview-Revised »). Les données indiquent que 88.4 % des personnes autistes avec une intelligence dans la normale présentent au moins une habileté exceptionnelle (force perceptive ou talent). Les talents sont rapportés chez 62.5 % des cas et les forces perceptives se retrouvent chez 58 % des cas. La cooccurrence des forces perceptives entre les modalités perceptives est relativement peu fréquente (24 % à 27 %) et la présence d’un talent dans une modalité n’augmente pas les chances de présenter une force perceptive dans une même modalité. Une plus grande intelligence augmente les chances de présenter au moins un talent. En revanche, une intelligence plus faible, mais se situant tout de même dans les limites de la normale, est associée à un profil cognitif plus hétérogène avec des forces perceptives plus fréquentes. En somme, l’intelligence autistique serait caractérisée par un rôle plus important de la perception, indépendamment des surfonctionnements perceptifs. Cette particularité cognitive se manifesterait par la présence d’un facteur plurimodal, « p », spécifique à l’autisme. Théoriquement, le facteur « p » reflèterait des modifications innées (ou « hardwired ») dans l’organisation corticale des microcircuits responsables de l'encodage des dimensions perceptives élémentaires. En revanche, une faible association intermodale entre les forces perceptives suggère que des modifications corticales sont essentielles, mais non suffisantes pour le développement d’habiletés exceptionnelles. Par des processus de plasticité, des modifications corticales auraient des répercussions sur le phénotype autistique en offrant une base plus « fertile » pour le développement d’habiletés exceptionnelles, voire savantes, lorsque la personne autiste serait exposée à des expériences de vie avantageuses. Par ailleurs, les résultats de cette thèse, combinés à la littérature existante sur l’intelligence et l’apprentissage des personnes autistes, nous amènent à réfléchir sur les approches d’évaluation et d’intervention les mieux adaptées au fonctionnement spécifique de cette population clinique.

Spectacle and the one-man band : technology, performing bodies, and imaginary spaces

L’étiquette « homme-orchestre » est apposée à une grande variété de musiciens qui se distinguent en jouant seuls une performance qui est normalement interprétée par plusieurs personnes. La diversité qu’a pu prendre au cours du temps cette forme n’est pas prise en compte par la culture populaire qui propose une image relativement constante de cette figure tel que vue dans les films Mary Poppins (1964) de Walt Disney et One-man Band (2005) de Pixar. Il s’agit d’un seul performeur vêtu d’un costume coloré avec une grosse caisse sur le dos, des cymbales entre les jambes, une guitare ou un autre instrument à cordes dans les mains et un petit instrument à vent fixé assez près de sa bouche pour lui permettre d’alterner le chant et le jeu instrumental. Cette thèse propose une analyse de l’homme-orchestre qui va au-delà de sa simple production musicale en situant le phénomène comme un genre spectaculaire qui transmet un contenu symbolique à travers une relation tripartite entre performance divertissante, spectateur et image. Le contenu symbolique est lié aux idées caractéristiques du Siècle des lumières tels que la liberté, l’individu et une relation avec la technologie. Il est aussi incarné simultanément par les performeurs et par la représentation de l’homme-orchestre dans l’imaginaire collectif. En même temps, chaque performance sert à réaffirmer l’image de l’homme-orchestre, une image qui par répétitions est devenue un lieu commun de la culture, existant au-delà d’un seul performeur ou d’une seule performance. L’aspect visuel de l’homme-orchestre joue un rôle important dans ce processus par une utilisation inattendue du corps, une relation causale entre corps, technologie et production musicale ainsi que par l’utilisation de vêtements colorés et d’accessoires non musicaux tels des marionnettes, des feux d’artifice ou des animaux vivants. Ces éléments spectaculaires divertissent les spectateurs, ce qui se traduit, entre autres, par un gain financier pour le performeur. Le divertissement a une fonction phatique qui facilite la communication du contenu symbolique.

The future of human-machine interaction: implant technology

In this paper a look is taken at how the use of implant and electrode technology can be employed to create biological brains for robots, to enable human enhancement and to diminish the effects of certain neural illnesses. In all cases the end result is to increase the range of abilities of the recipients. An indication is given of a number of areas in which such technology has already had a profound effect, a key element being the need for a clear interface linking a biological brain directly with computer technology. The emphasis is placed on practical scientific studies that have been and are being undertaken and reported on. The area of focus is the use of electrode technology, where either a connection is made directly with the cerebral cortex and/or nervous system or where implants into the human body are involved. The paper also considers robots that have biological brains in which human neurons can be employed as the sole thinking machine for a real world robot body.

The influence of the flexibility of the chair seat on pressure peak and distribution of the contact area in individuals with cerebral palsy during the execution of a task

This study aimed to determine the influence of flexibility of the chair seat surface on the pressure peak and on the contact area during the execution of a task of handling an object on the seated position by individuals with spastic cerebral palsy. Ten individuals of both genders with diagnosis of spastic cerebral palsy, who had some control to voluntarily move the body and the upper limbs, participated in this study. Quantification of data was carried out in two experimental situations: (1) execution of a task of fitting with upper limbs, and with the individual placed on an adapted canvas seat; (2) execution of a task of fitting with the participant positioned on an adapted wooden seat. Data obtained were submitted to a non-parametric and descriptive statistical analysis using the Wilcoxon test. Results indicated that the use of canvas seat increased the contact area and decreased the pressure peak and the medio-lateral displacement of centre pressure on the seated posture. © 2011 Informa UK, Ltd.

Motion control and real-time systems: an approach to trajectory rebuilding in non-deterministic networks

Motion control is a sub-field of automation, in which the position and/or velocity of machines are controlled using some type of device. In motion control the position, velocity, force, pressure, etc., profiles are designed in such a way that the different mechanical parts work as an harmonious whole in which a perfect synchronization must be achieved. The real-time exchange of information in the distributed system that is nowadays an industrial plant plays an important role in order to achieve always better performance, better effectiveness and better safety. The network for connecting field devices such as sensors, actuators, field controllers such as PLCs, regulators, drive controller etc., and man-machine interfaces is commonly called fieldbus. Since the motion transmission is now task of the communication system, and not more of kinematic chains as in the past, the communication protocol must assure that the desired profiles, and their properties, are correctly transmitted to the axes then reproduced or else the synchronization among the different parts is lost with all the resulting consequences. In this thesis, the problem of trajectory reconstruction in the case of an event-triggered communication system is faced. The most important feature that a real-time communication system must have is the preservation of the following temporal and spatial properties: absolute temporal consistency, relative temporal consistency, spatial consistency. Starting from the basic system composed by one master and one slave and passing through systems made up by many slaves and one master or many masters and one slave, the problems in the profile reconstruction and temporal properties preservation, and subsequently the synchronization of different profiles in network adopting an event-triggered communication system, have been shown. These networks are characterized by the fact that a common knowledge of the global time is not available. Therefore they are non-deterministic networks. Each topology is analyzed and the proposed solution based on phase-locked loops adopted for the basic master-slave case has been improved to face with the other configurations.

Simulatore di interfaccia uomo-macchina per i controllo di UAV

Recent statistics have demonstrated that two of the most important causes of failures of the UAVs (Uninhabited Aerial Vehicle) missions are related to the low level of decisional autonomy of vehicles and to the man machine interface. Therefore, a relevant issue is to design a display/controls architecture which allows the efficient interaction between the operator and the remote vehicle and to develop a level of automation which allows the vehicle the decision about change in mission. The research presented in this paper focuses on a modular man-machine interface simulator for the UAV control, which simulates UAV missions, developed to experiment solution to this problem. The main components of the simulator are an advanced interface and a block defined automation, which comprehend an algorithm that implements the level of automation of the system. The simulator has been designed and developed following a user-centred design approach in order to take into account the operator’s needs in the communication with the vehicle. The level of automation has been developed following the supervisory control theory which says that the human became a supervisor who sends high level commands, such as part of mission, target, constraints, in then-rule, while the vehicle receives, comprehends and translates such commands into detailed action such as routes or action on the control system. In order to allow the vehicle to calculate and recalculate the safe and efficient route, in term of distance, time and fuel a 3D planning algorithm has been developed. It is based on considering UASs representative of real world systems as objects moving in a virtual environment (terrain, obstacles, and no fly zones) which replicates the airspace. Original obstacle avoidance strategies have been conceived in order to generate mission planes which are consistent with flight rules and with the vehicle performance constraints. The interface is based on a touch screen, used to send high level commands to the vehicle, and a 3D Virtual Display which provides a stereoscopic and augmented visualization of the complex scenario in which the vehicle operates. Furthermore, it is provided with an audio feedback message generator. Simulation tests have been conducted with pilot trainers to evaluate the reliability of the algorithm and the effectiveness and efficiency of the interface in supporting the operator in the supervision of an UAV mission. Results have revealed that the planning algorithm calculate very efficient routes in few seconds, an adequate level of workload is required to command the vehicle and that the 3D based interface provides the operator with a good sense of presence and enhances his awareness of the mission scenario and of the vehicle under his control.

Face detection in C#

Actualmente la detección del rostro humano es un tema difícil debido a varios parámetros implicados. Llega a ser de interés cada vez mayor en diversos campos de aplicaciones como en la identificación personal, la interface hombre-máquina, etc. La mayoría de las imágenes del rostro contienen un fondo que se debe eliminar/discriminar para poder así detectar el rostro humano. Así, este proyecto trata el diseño y la implementación de un sistema de detección facial humana, como el primer paso en el proceso, dejando abierto el camino, para en un posible futuro, ampliar este proyecto al siguiente paso, que sería, el Reconocimiento Facial, tema que no trataremos aquí. En la literatura científica, uno de los trabajos más importantes de detección de rostros en tiempo real es el algoritmo de Viola and Jones, que ha sido tras su uso y con las librerías de Open CV, el algoritmo elegido para el desarrollo de este proyecto. A continuación explicaré un breve resumen sobre el funcionamiento de mi aplicación. Mi aplicación puede capturar video en tiempo real y reconocer el rostro que la Webcam captura frente al resto de objetos que se pueden visualizar a través de ella. Para saber que el rostro es detectado, éste es recuadrado en su totalidad y seguido si este mueve. A su vez, si el usuario lo desea, puede guardar la imagen que la cámara esté mostrando, pudiéndola almacenar en cualquier directorio del PC. Además, incluí la opción de poder detectar el rostro humano sobre una imagen fija, cualquiera que tengamos guardada en nuestro PC, siendo mostradas el número de caras detectadas y pudiendo visualizarlas sucesivamente cuantas veces queramos. Para todo ello como bien he mencionado antes, el algoritmo usado para la detección facial es el de Viola and Jones. Este algoritmo se basa en el escaneo de toda la superficie de la imagen en busca del rostro humano, para ello, primero la imagen se transforma a escala de grises y luego se analiza dicha imagen, mostrando como resultado el rostro encuadrado. ABSTRACT Currently the detection of human face is a difficult issue due to various parameters involved. Becomes of increasing interest in various fields of applications such as personal identification, the man-machine interface, etc. Most of the face images contain a fund to be removed / discriminate in order to detect the human face. Thus, this project is the design and implementation of a human face detection system, as the first step in the process, leaving the way open for a possible future, extend this project to the next step would be, Facial Recognition , a topic not covered here. In the literature, one of the most important face detection in real time is the algorithm of Viola and Jones, who has been after use with Open CV libraries, the algorithm chosen for the development of this project. I will explain a brief summary of the performance of my application. My application can capture video in real time and recognize the face that the Webcam Capture compared to other objects that can be viewed through it. To know that the face is detected, it is fully boxed and followed if this move. In turn, if the user may want to save the image that the camera is showing, could store in any directory on your PC. I also included the option to detect the human face on a still image, whatever we have stored in your PC, being shown the number of faces detected and can view them on more times. For all as well I mentioned before, the algorithm used for face detection is that of Viola and Jones. This algorithm is based on scanning the entire surface of the image for the human face, for this, first the image is converted to gray-scale and then analyzed the image, showing results in the face framed.

Human factors of driver-vehicle interaction in the IVHS environment. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Towards rope shovel automation operation information system

The road to electric rope shovel automation is marked with technological innovations that include an increase in operational information available to mining operations. The CRCMining Shovel Operator Information System not only collects machine operational data but also provides the operator with knowledge-of-performance and influences his/her performance to achieve higher productivity with reduced machine duty. The operator’s behaviour is one of the most important aspects of the man-machine interaction to be considered before semi- or fully-automated shovel systems can be realised. This paper presents the results of the rope shovel studies conducted by CRCMining between 2002 and 2004, provides information on current research to improve shovel performance and briefly discusses the implications of human-system interactions on future designs of autonomous machines.

On waveform analysis, the adaptive task technique, and the effect of vibration on manual control skill

A re-examination of fundamental concepts and a formal structuring of the waveform analysis problem is presented in Part I. eg. the nature of frequency is examined and a novel alternative to the classical methods of detection proposed and implemented which has the advantage of speed and independence from amplitude. Waveform analysis provides the link between Parts I and II. Part II is devoted to Human Factors and the Adaptive Task Technique. The Historical, Technical and Intellectual development of the technique is traced in a review which examines the evidence of its advantages relative to non-adaptive fixed task methods of training, skill assessment and man-machine optimisation. A second review examines research evidence on the effect of vibration on manual control ability. Findings are presented in terms of percentage increment or decrement in performance relative to performance without vibration in the range 0-0.6Rms'g'. Primary task performance was found to vary by as much as 90% between tasks at the same Rms'g'. Differences in task difficulty accounted for this difference. Within tasks vibration-added-difficulty accounted for the effects of vibration intensity. Secondary tasks were found to be largely insensitive to vibration except secondaries which involved fine manual adjustment of minor controls. Three experiments are reported next in which an adaptive technique was used to measure the % task difficulty added by vertical random and sinusoidal vibration to a 'Critical Compensatory Tracking task. At vibration intensities between 0 - 0.09 Rms 'g' it was found that random vibration added (24.5 x Rms'g')/7.4 x 100% to the difficulty of the control task. An equivalence relationship between Random and Sinusoidal vibration effects was established based upon added task difficulty. Waveform Analyses which were applied to the experimental data served to validate Phase Plane analysis and uncovered the development of a control and possibly a vibration isolation strategy. The submission ends with an appraisal of subjects mentioned in the thesis title.

Using Web Search Logs to Identify Query Classification Terms

Purpose – The work presented in this paper aims to provide an approach to classifying web logs by personal properties of users. Design/methodology/approach – The authors describe an iterative system that begins with a small set of manually labeled terms, which are used to label queries from the log. A set of background knowledge related to these labeled queries is acquired by combining web search results on these queries. This background set is used to obtain many terms that are related to the classification task. The system then ranks each of the related terms, choosing those that most fit the personal properties of the users. These terms are then used to begin the next iteration. Findings – The authors identify the difficulties of classifying web logs, by approaching this problem from a machine learning perspective. By applying the approach developed, the authors are able to show that many queries in a large query log can be classified. Research limitations/implications – Testing results in this type of classification work is difficult, as the true personal properties of web users are unknown. Evaluation of the classification results in terms of the comparison of classified queries to well known age-related sites is a direction that is currently being exploring. Practical implications – This research is background work that can be incorporated in search engines or other web-based applications, to help marketing companies and advertisers. Originality/value – This research enhances the current state of knowledge in short-text classification and query log learning. Classification schemes, Computer networks, Information retrieval, Man-machine systems, User interfaces