La comunicación no verbal en la mediación familiar

[ES] El trabajo que presentamos intenta aportar que la Comunicación no Verbal puede ser un instrumento a tener en cuenta en el proceso de la comunicación en su conjunto y donde se intenta medir, a través de un cuestionario (CUVALECORME), la valoración de la comunicación no verbal como herramienta de trabajo en la mediación familiar. Para la elaboración y desarrollo de este estudio, hemos conformado un marco teórico-conceptual con la aportación de diferentes autores que han tratado y analizado el lenguaje corporal. Citamos entre otros, a Parkinson (2005), Mehabian (1972), Cabana (2003), Günter (1995), Pinazu y Musitu (1993), Mucchiello (1998), Berlo (1969), Watzlawick (1974), Polaino y Martínez (1990) y Hervés (1998). Los resultados obtenidos muestran, a pesar de las limitaciones teóricas y metodológicas, una línea de trabajo que nos permiten señalar posturas a favor de la Valoración de la Comunicación no Verbal como Herramienta de Trabajo en la Mediación Familiar. De dichos resultados destacamos el obtenido en el total de niveles de valoración del CUVALECORME, donde el 78,9% de opinión consideran a la Comunicación no Verbal como una Herramienta de Trabajo en la Mediación Familiar, frente a un porcentaje del 21,1% de opiniones desfavorables.

Non-verbal markers of modality and evidentiality in MarENG

[EN] This article examines a variety of options for expressing speaker and writer stance in a subcorpus of MarENG, a maritime English learning tool sponsored by the EU (35,041 words). Non-verbal markers related to key areas of modal expression are presented; (1)epistemic adverbs and adverbial expressions, (2) epistemic adjectives, (3) deontic adjectives, (4) evidential adverbs, (5) evidential adjectives, (6) evidential interpersonal markers, and (7) single adverbials conveying the speaker’s attitudes, feelings or value judgments. The overall aim is to present an overview of how these non-verbal markers operate in this LSP genre.

Los mediadores desde la perspectiva del lenguaje no verbal

[ES] Tal y como argumentó Mehrabian (1972) en sus investigaciones: En la contribución no verbal recae el 55% del peso del proceso comunicativo del ser humano, un 38% a la voz (entonación, latencia, ritmo...) y tan sólo un 7% pertenece al lenguaje verbal o articulado. Es por ello que antes de entrar a la sala de la mediación, es primordial dominar las técnicas del lenguaje no verbal y así comprender más y mejor a los mediados. 

Diseño e implementación de un conjugador verbal como aplicación Android

[ES]Desarrollo de una aplicación Android con un diseño de interfaz de usuario para smartphones y otro para tabletas cuya finalidad es mostrar información acerca del verbo introducido por el usuario. Por un lado, sería la visualización de todas las formas verbales que posee el verbo, las cuáles son obtenidas de una serie de servicios remotos pertenecientes al grupo TIP (Text & Information Processing) y que deberán ser tratadas antes de ser visualizadas. Y, por otro lado, la información que nos permitirá identificar al verbo, las definiciones de sus posibles significados y notas asociadas a la forma de conjugarse. Esta información, en cambio, se obtendrá de una serie de servicios locales en la propia aplicación basado en ficheros de texto.

El lenguaje no verbal de los mediadores/as

[ES]La información que transmitimos en nuestro proceso comunicativo es de un 93% de lenguaje no verbal. Solamente el lenguaje articulado es de un 7%

Sense development through non verbal signs: early infancy and clinical psychoterapy

This thesis will describe the development of a relationship which is not necessarily verbal, but which generates communication, creates sense and meaning between human beings and produces “becomings” in the body that feels, perceives and physically transforms itself. This leads to a biosemiotic understanding of both the seen and unseen figure.

Studio di ausili tecnologici compensativi di supporto all'iter di apprendimento matematico secondario e universitario degli studenti con dislessia

Data coming out from various researches carried out over the last years in Italy on the problem of school dispersion in secondary school show that difficulty in studying mathematics is one of the most frequent reasons of discomfort reported by students. Nevertheless, it is definitely unrealistic to think we can do without such knowledge in today society: mathematics is largely taught in secondary school and it is not confined within technical-scientific courses only. It is reasonable to say that, although students may choose academic courses that are, apparently, far away from mathematics, all students will have to come to terms, sooner or later in their life, with this subject. Among the reasons of discomfort given by the study of mathematics, some mention the very nature of this subject and in particular the complex symbolic language through which it is expressed. In fact, mathematics is a multimodal system composed by oral and written verbal texts, symbol expressions, such as formulae and equations, figures and graphs. For this, the study of mathematics represents a real challenge to those who suffer from dyslexia: this is a constitutional condition limiting people performances in relation to the activities of reading and writing and, in particular, to the study of mathematical contents. Here the difficulties in working with verbal and symbolic codes entail, in turn, difficulties in the comprehension of texts from which to deduce operations that, once combined together, would lead to the problem final solution. Information technologies may support this learning disorder effectively. However, these tools have some implementation limits, restricting their use in the study of scientific subjects. Vocal synthesis word processors are currently used to compensate difficulties in reading within the area of classical studies, but they are not used within the area of mathematics. This is because the vocal synthesis (or we should say the screen reader supporting it) is not able to interpret all that is not textual, such as symbols, images and graphs. The DISMATH software, which is the subject of this project, would allow dyslexic users to read technical-scientific documents with the help of a vocal synthesis, to understand the spatial structure of formulae and matrixes, to write documents with a technical-scientific content in a format that is compatible with main scientific editors. The system uses LaTex, a text mathematic language, as mediation system. It is set up as LaTex editor, whose graphic interface, in line with main commercial products, offers some additional specific functions with the capability to support the needs of users who are not able to manage verbal and symbolic codes on their own. LaTex is translated in real time into a standard symbolic language and it is read by vocal synthesis in natural language, in order to increase, through the bimodal representation, the ability to process information. The understanding of the mathematic formula through its reading is made possible by the deconstruction of the formula itself and its “tree” representation, so allowing to identify the logical elements composing it. Users, even without knowing LaTex language, are able to write whatever scientific document they need: in fact the symbolic elements are recalled by proper menus and automatically translated by the software managing the correct syntax. The final aim of the project, therefore, is to implement an editor enabling dyslexic people (but not only them) to manage mathematic formulae effectively, through the integration of different software tools, so allowing a better teacher/learner interaction too.