Virtuaaliset yhteisöt ja areenat: virtuaaliyhteisön kehittämisprosessi. Case: Vaikuttamo

Virtuaalinen yhteisö voidaan määritellä ihmisten, eritasoisten suhteiden, yhteisen tarkoituksen ja tietoteknisten järjestelmien muodostamaksi kokonaisuudeksi. Järjestelmäratkaisut muodostavat yhteisön toiminnan pelikentän, virtuaaliareenan. Virtuaaliareena on siten erottamaton osa virtuaalista yhteisöä. Tutkielman tarkoituksena on tutkia, millainen on virtuaalisen yhteisön kehittämisprosessi ja elinkaari. Lisäksi tutkielmassa kuvataan menetelmät, joiden avulla yhteisön jäsenten tarpeita on mahdollista kartoittaa toiminnan eri vaiheissa. Näitä menetelmiä voidaan käyttää hyväksi erityyppisten virtuaaliympäristöjen kehitystyössä. Käytännön kehittämistyötä tarkastellaan Vaikuttamo –casen kautta. Tavoitteena oli selvittää, kuinka Vaikuttamoa palveleva virtuaaliareena suunniteltiin ja mitkä tekijät ovat vauhdittaneet Vaikuttamon kehittymistä toimivaksi yhteisöksi. Tutkimusmenetelmänä käytettiin teemahaastattelua ja lisäksi hyödynnettiin toukokuussa 2003 toteutetun web-kyselyn aineistoa. Tulosten perusteella havaittiin, että kirjallisuudessa kuvattu kehittämisprosessi ei olisi soveltunut Vaikuttamon tarpeisiin, koska kyseessä oli kokonaan uudentyyppinen yhteisö. Vaikuttamon menestyksen avaintekijöinä voidaan pitää paikallisuutta, varsinaisen yhteisön ulkopuolista ohjausta sekä vahvoja sidoksia Hämeenlinnan alueen kouluihin ja opettajiin.

Players and Avatars: The Connections between Player Personality, Avatar Personality, and Behavior in Video Games

The increasing variety and complexity of video games allows players to choose how to behave and represent themselves within these virtual environments. The focus of this dissertation was to examine the connections between the personality traits (specifically, HEXACO traits and psychopathic traits) of video game players and player-created and controlled game-characters (i.e., avatars), and the link between traits and behavior in video games. In Study 1 (n = 198), the connections between player personality traits and behavior in a Massively Multiplayer Online Roleplaying Game (World of Warcraft) were examined. Six behavior components were found (i.e., Player-versus-Player, Social Player-versus-Environment, Working, Helping, Immersion, and Core Content), and each was related to relevant personality traits. For example, Player-versus-Player behaviors were negatively related to Honesty-Humility and positively related to psychopathic traits, and Immersion behaviors (i.e., exploring, role-playing) were positively related to Openness to Experience. In Study 2 (n = 219), the connections between player personality traits and in-game behavior in video games were examined in university students. Four behavior components were found (i.e., Aggressing, Winning, Creating, and Helping), and each was related to at least one personality trait. For example, Aggressing was negatively related to Honesty-Humility and positively related to psychopathic traits. In Study 3 (n = 90), the connections between player personality traits and avatar personality traits were examined in World of Warcraft. Positive player-avatar correlations were observed for all personality traits except Extraversion. Significant mean differences between players and avatars were observed for all traits except Conscientiousness; avatars had higher mean scores on Extraversion and psychopathic traits, but lower mean scores on the remaining traits. In Study 4, the connections between player personality traits, avatar traits, and observed behaviors in a life-simulation video game (The Sims 3) were examined in university students (n = 93). Participants created two avatars and used these avatars to play The Sims 3. Results showed that the selection of certain avatar traits was related to relevant player personality traits (e.g., participants who chose the Friendly avatar trait were higher in Honesty-Humility, Emotionality, and Agreeableness, and lower in psychopathic traits). Selection of certain character-interaction behaviors was related to relevant player personality traits (e.g., participants with higher levels of psychopathic traits used more Mean and fewer Friendly interactions). Together, the results of the four studies suggest that individuals generally behave and represent themselves in video games in ways that are consistent with their real-world tendencies.

Précision spatiale d'atteintes manuelles vers des cibles virtuelles : effet du contexte visuel et du vieillissement normal

Mémoire numérisé par la Division de la gestion de documents et des archives de l'Université de Montréal

Reconnaissance émotionnelle faciale et psychopathie : un protocole exploratoire à l’aide de personnages virtuels animés

La présente recherche est constituée de deux études. Dans l’étude 1, il s’agit d’améliorer la validité écologique des travaux sur la reconnaissance émotionnelle faciale (REF) en procédant à la validation de stimuli qui permettront d’étudier cette question en réalité virtuelle. L’étude 2 vise à documenter la relation entre le niveau de psychopathie et la performance à une tâche de REF au sein d’un échantillon de la population générale. Pour ce faire, nous avons créé des personnages virtuels animés de différentes origines ethniques exprimant les six émotions fondamentales à différents niveaux d’intensité. Les stimuli, sous forme statique et dynamique, ont été évalués par des étudiants universitaires. Les résultats de l’étude 1 indiquent que les stimuli virtuels, en plus de comporter plusieurs traits distinctifs, constituent un ensemble valide pour étudier la REF. L’étude 2 a permis de constater qu’un score plus élevé à l’échelle de psychopathie, spécifiquement à la facette de l’affect plat, est associé à une plus grande sensibilité aux expressions émotionnelles, particulièrement pour la tristesse. Inversement, un niveau élevé de tendances criminelles est, pour sa part, associé à une certaine insensibilité générale et à un déficit spécifique pour le dégoût. Ces résultats sont spécifiques aux participants masculins. Les données s’inscrivent dans une perspective évolutive de la psychopathie. L’étude met en évidence l’importance d’étudier l’influence respective des facettes de la personnalité psychopathique, ce même dans des populations non-cliniques. De plus, elle souligne la manifestation différentielle des tendances psychopathiques chez les hommes et chez les femmes.

Geometric Structure of the Adaptive Controller of the Human Arm

The objects with which the hand interacts with may significantly change the dynamics of the arm. How does the brain adapt control of arm movements to this new dynamic? We show that adaptation is via composition of a model of the task's dynamics. By exploring generalization capabilities of this adaptation we infer some of the properties of the computational elements with which the brain formed this model: the elements have broad receptive fields and encode the learned dynamics as a map structured in an intrinsic coordinate system closely related to the geometry of the skeletomusculature. The low--level nature of these elements suggests that they may represent asset of primitives with which a movement is represented in the CNS.

Reabilitação Neuropsicológica em Pacientes com Lesão Vascular Cerebral: Uma Revisão Sistemática da Literatura

Se realizó una revisión sistemática de la literatura en laweb de bases de datos de la Ciencia, Pubmede BIREMEentre los años 2000 y 2011 a través de los términos "la rehabilitación cognitiva y el accidente cerebrovascular" y "la rehabilitación cognitiva y el accidente cerebrovascular". Los resultados mostraron la falta de estudios sobre el tema en la literatura internacional y la ausencia de la literatura nacional (brasileño), y 21 artículos incluidos en el estudio, que informó sobre todo la rehabilitación del lenguaje están explorando los entornos virtuales para la rehabilitación metodología breves y frecuentes, así como los programas demostrado ser eficaz a las tareasde la vida diaria, lo que sugiere su validez ecológica. Se concluye que el proceso de rehabilitación necesitaestudiar más a fondo, y que sistematizó las técnicasdeben ser expuestos y la literatura científica publicada. 

Language learning and MUDs : an overview. 'Aprendizaje de idiomas y MUDs : una visión general'.

La traducción literal de MUD es Mazmorra o Calabozo multiusuario o Dimensión multiusuario. Un MUD es un juego de rol en línea que es ejecutado en un servidor. El artículo incluye direcciones de varios MUDs

Second Life en el aprendizaje de idiomas y la interacción social

Resumen en inglés. Resumen basado en el de la publicación. Capítulo incluido en el monográfico número 8 de la revista 'Tejuelo. Didáctica de la lengua y la literatura. Educación', titulado 'Comunicación social y educación'

Entornos virtuales de enseñanza aprendizaje (EVEA): Formanción profesional

Resumen tomado de la publicación

Dynamic load balancing for the distributed mining of molecular structures

In molecular biology, it is often desirable to find common properties in large numbers of drug candidates. One family of methods stems from the data mining community, where algorithms to find frequent graphs have received increasing attention over the past years. However, the computational complexity of the underlying problem and the large amount of data to be explored essentially render sequential algorithms useless. In this paper, we present a distributed approach to the frequent subgraph mining problem to discover interesting patterns in molecular compounds. This problem is characterized by a highly irregular search tree, whereby no reliable workload prediction is available. We describe the three main aspects of the proposed distributed algorithm, namely, a dynamic partitioning of the search space, a distribution process based on a peer-to-peer communication framework, and a novel receiverinitiated load balancing algorithm. The effectiveness of the distributed method has been evaluated on the well-known National Cancer Institute’s HIV-screening data set, where we were able to show close-to linear speedup in a network of workstations. The proposed approach also allows for dynamic resource aggregation in a non dedicated computational environment. These features make it suitable for large-scale, multi-domain, heterogeneous environments, such as computational grids.

Decentralized load balancing for highly irregular search problems

In this paper, we present a distributed computing framework for problems characterized by a highly irregular search tree, whereby no reliable workload prediction is available. The framework is based on a peer-to-peer computing environment and dynamic load balancing. The system allows for dynamic resource aggregation, does not depend on any specific meta-computing middleware and is suitable for large-scale, multi-domain, heterogeneous environments, such as computational Grids. Dynamic load balancing policies based on global statistics are known to provide optimal load balancing performance, while randomized techniques provide high scalability. The proposed method combines both advantages and adopts distributed job-pools and a randomized polling technique. The framework has been successfully adopted in a parallel search algorithm for subgraph mining and evaluated on a molecular compounds dataset. The parallel application has shown good calability and close-to linear speedup in a distributed network of workstations.

Efficient mining of discriminative molecular fragments

Frequent pattern discovery in structured data is receiving an increasing attention in many application areas of sciences. However, the computational complexity and the large amount of data to be explored often make the sequential algorithms unsuitable. In this context high performance distributed computing becomes a very interesting and promising approach. In this paper we present a parallel formulation of the frequent subgraph mining problem to discover interesting patterns in molecular compounds. The application is characterized by a highly irregular tree-structured computation. No estimation is available for task workloads, which show a power-law distribution in a wide range. The proposed approach allows dynamic resource aggregation and provides fault and latency tolerance. These features make the distributed application suitable for multi-domain heterogeneous environments, such as computational Grids. The distributed application has been evaluated on the well known National Cancer Institute’s HIV-screening dataset.

A Gentle/S approach to robot assisted neuro-rehabilitation

Movement disorders (MD) include a group of neurological disorders that involve neuromotor systems. MD can result in several abnormalities ranging from an inability to move, to severe constant and excessive movements. Strokes are a leading cause of disability affecting largely the older people worldwide. Traditional treatments rely on the use of physiotherapy that is partially based on theories and also heavily reliant on the therapists training and past experience. The lack of evidence to prove that one treatment is more effective than any other makes the rehabilitation of stroke patients a difficult task. UL motor re-learning and recovery levels tend to improve with intensive physiotherapy delivery. The need for conclusive evidence supporting one method over the other and the need to stimulate the stroke patient clearly suggest that traditional methods lack high motivational content, as well as objective standardised analytical methods for evaluating a patient's performance and assessment of therapy effectiveness. Despite all the advances in machine mediated therapies, there is still a need to improve therapy tools. This chapter describes a new approach to robot assisted neuro-rehabilitation for upper limb rehabilitation. Gentle/S introduces a new approach on the integration of appropriate haptic technologies to high quality virtual environments, so as to deliver challenging and meaningful therapies to people with upper limb impairment in consequence of a stroke. The described approach can enhance traditional therapy tools, provide therapy "on demand" and can present accurate objective measurements of a patient's progression. Our recent studies suggest the use of tele-presence and VR-based systems can potentially motivate patients to exercise for longer periods of time. Two identical prototypes have undergone extended clinical trials in the UK and Ireland with a cohort of 30 stroke subjects. From the lessons learnt with the Gentle/S approach, it is clear also that high quality therapy devices of this nature have a role in future delivery of stroke rehabilitation, and machine mediated therapies should be available to patient and his/her clinical team from initial hospital admission, through to long term placement in the patient's home following hospital discharge.

Modelling of surface identifying characteristics using Fourier series

Texture and small-scale surface details are widely recognised as playing an important role in the haptic identification of objects. In order to simulate realistic textures in haptic virtual environments, it has become increasingly necessary to identify a robust technique for modelling of surface profiles. This paper describes a method whereby Fourier series spectral analysis is employed in order to describe the measured surface profiles of several characteristic surfaces. The results presented suggest that a bandlimited Fourier series can be used to provide a realistic approximation to surface amplitude profiles.