Influence of sustainability practices and green image on the re-visit intention of small and medium-size towns

This study set a model to predict the e ect of corporate social responsibility and green image on visit intention in small and medium-size towns (SMST). At present, there is a keen social awareness towards environmental problems, and cities are required to reduce their ecological footprint and make more sustainable use of natural resources. Increasingly, tourists are considering “green options” in their decision making. The questionnaire responses, obtained from a sample of 221 tourism in Malaga town (Spain) were analyzed using a Structural Equation Modelling (SEM) to test the research hypothesis related to the positive influence of sustainability practices, green image, trust with the intention of revisiting related to the loyalty of the destination. This study shows that there is a positive relationship between sustainability practices and re-visit intention and between the green image and re-visit intention, both directly and indirectly, through trust. Also, the fact that this relationship is more significant if it is part of the green image than if it is part of sustainability actions. To practice, this study provides managerial implications to help executives adopt green actions, thanks to their positive e ects on tourist loyalty and the di erent way of manifesting this loyalty.info:eu-repo/semantics/publishedVersio

Technology, governance, and a sustainability model for small and medium-sized towns in Europe

New and cutting-edge technologies causing deep changes in societies, playing the role of game modifiers, and having a significant impact on global markets in small and medium-sized towns in Europe (SMSTEs) are the focus of this research. In this context, an analysis was carried out to identify the main dimensions of a model for promoting innovation in SMSTEs. The literature review on the main dimensions boosting the innovation in SMSTEs and the methodological approach was the application of a survey directed to experts on this issue. The findings from the literature review reflect that technologies, governance, and sustainability dimensions are enablers of SMSTEs’ innovation, and based on the results of the survey, a model was implemented to boost innovation, being this the major add-on of this research.info:eu-repo/semantics/publishedVersio

A new multisensor software architecture for movement detection: Preliminary study with people with cerebral palsy

A five-layered software architecture translating movements into mouse clicks has been developed and tested on an Arduino platform with two different sensors: accelerometer and flex sensor. The archi-tecture comprises low-pass and derivative filters, an unsupervised classifier that adapts continuously to the strength of the user's movements and a finite state machine which sets up a timer to prevent in-voluntary movements from triggering false positives. Four people without disabilities and four people with cerebral palsy (CP) took part in the experi-ments. People without disabilities obtained an average of 100% and 99.3% in precision and true positive rate (TPR) respectively and there were no statistically significant differences among type of sensors and placement. In the same experiment, people with disabilities obtained 97.9% and 100% in precision and TPR respectively. However, these results worsened when subjects used the system to access a commu-nication board, 89.6% and 94.8% respectively. With their usual method of access-an adapted switch- they obtained a precision and TPR of 86.7% and 97.8% respectively. For 3-outof- 4 participants with disabilities our system detected the movement faster than the switch. For subjects with CP, the accelerometer was the easiest to use because it is more sensitive to gross motor motion than the flex sensor which requires more complex movements. A final survey showed that 3-out-of-4 participants with disabilities would prefer to use this new technology instead of their tra-ditional method of access

Modelos de representación de imprecisión e incertidumbre en fusión de alto nivel

Actas de: XVII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2014). Zaragoza, 5-7 de febrero de 2014.Las técnicas de fusión de datos e información procedente de redes de sensores necesitan manejar información incierta e imprecisa, puesto que es habitual enfrentarse a problemas en los que el conocimiento disponible es vago o insuficiente y/o los aparatos de medición están sujetos a fallos. Con el reciente auge de la denominada "fusión de alto nivel", que tiene como objetivo reconocer la situación observada e identificar posibles riesgos, este problema se ha acentuado, ya que los formalismos que se utilizan habitualmente para construir un modelo simbólico del escenario, como la lógica de primer orden y las ontologías, no proporcionan soporte para este tipo de conocimiento. En este trabajo repasamos varias propuestas recientes para representación y razonamiento con información incierta e imprecisa en fusión de alto nivel. Nos centramos en dos tipos: (a) las que incorporan estos mecanismos en los propios modelos de representación, como las ontologías probabilísticas y difusas y las redes lógicas de Markov; (b) las que extienden el proceso de fusión con una capa de gestión de incertidumbre adicional, como las basadas en argumentación probabilística.Este trabajo ha sido financiado por la Junta de Andalucía (P11-TIC-7460), la Comunidad de Madrid (S2009/TIC- 1485) y el Ministerio de Economía y Competitividad de España (TEC2012-37832-C02-01, TEC2011-28626-C02- 02, TIN2012-30939).Publicad

Kinect as an access device for people with cerebral palsy: A preliminary study

Cerebral palsy (CP) describes a group of disorders affecting the development of movement and posture, causingactivity limitation. Access to technology can alleviate some of these limitations. Many studies have used vision- based movement capture systems to overcome problems related to discomfort and fear of wearing devices. Incontrast, there has been no research assessing the behavior of vision-based movement capture systems in peoplewith involuntary movements. In this paper, we look at the potential of the Kinect sensor as an assistive technologyfor people with cerebral palsy. We developed a serious game, called KiSens Números, to study the behavior ofKinect in this context and eighteen subjects with cerebral palsy used it to complete a set of sessions. The resultsof the experiments show that Kinect filters some of peoples involuntary movements, confirming the potential ofKinect as an assistive technology for people with motor disabilities

La evaluación de la competencia educativa social y ciudadana desde la didáctica de las ciencias sociales. Un estado de la cuestión

La educación fundamentada en la consecución de competencias es la principal característica del actual contexto educativo europeo. Si bien la consecución de cada una de las competencias se produce por la contribución de todas las áreas de conocimiento que recogen los currículos, es cierto que no todas las materias tienen un peso igual en cada una de dichas competencias. Este trabajo presenta un balance de los proyectos e innovaciones desarrollados en la didáctica de la geografía y la historia, al menos en el caso español, que muestra la decidida apuesta por orientar los contenidos y la evaluación de los mismos hacia el desarrollo de la competencia social y ciudadana

Stress and heart rate: significant parameters and their variations

The aim of this paper is to identify heart rate parameters with higher significant values when a set of people are performing a task under stress condition. In order to accomplish this, one computer application with arithmetic and memory activities which lets drive the subjects to different stages of activity and stress has been designed. Tests are formed by initial and final rest periods and three task phases with incremental stressful level. Electrocardiogram is measured in each state and parameters are extracted from it. A statistical study using analysis of variance (ANOVA) is done to see which ones are the most significant. It is concluded that the median of RR segments is the parameter to best determine the state of stress.Regional Government of Andalusia (p08-TIC-3631

Multi-agent Based Distributed Semi-automatic Sensors Surveillance System Architecture

Proceedings of: Forth International Workshop on User-Centric Technologies and applications (CONTEXTS 2010). Valencia, 07-10 September , 2010.In the present paper, we describes a semi-automated and decision support sensor surveillance architecture used to develop an intelligent sensor surveillance system. The proposed architecture is grouped in three agents layers: the sensors agents layer, sensor processing agents layer and finally, the support assistant agents layers. The sensor agents layer is formed by sensor managing agents and sensor data flow agents that they control the sensor devices and retransmit data streams to upper layer respectively. In sensor processing agents layer is an agents collection that process data flows produced by sensors, allowing elements tracking. The last layer is formed by special agents for helping and supporting the user monitoring and user choice. This architecture proposes a fully decentralized multi-agent system using FIPA Agent Communication Language.This work was supported in part by Projects CICYT TIN2008-06742-C02-02/TSI, CICYT TEC2008-06732-C02-02/TEC, CAM CONTEXTS (S2009/ TIC-1485) and DPS2008-07029-C02-0

Envelope filter sequence to delete blinks and overshoots

Background: Eye movements have been used in control interfaces and as indicators of somnolence, workload and concentration. Different techniques can be used to detect them: we focus on the electrooculogram (EOG) in which two kinds of interference occur: blinks and overshoots. While they both draw bell-shaped waveforms, blinks are caused by the eyelid, whereas overshoots occur due to target localization error and are placed on saccade. They need to be extracted from the EOG to increase processing effectiveness. Methods: This paper describes off- and online processing implementations based on lower envelope for removing bell-shaped noise; they are compared with a 300-msmedian filter. Techniques were analyzed using two kinds of EOG data: those modeled from our own design, and real signals. Using a model signal allowed to compare filtered outputs with ideal data, so that it was possible to quantify processing precision to remove noise caused by blinks, overshoots, and general interferences. We analyzed the ability to delete blinks and overshoots, and waveform preservation. Results: Our technique had a high capacity for reducing interference amplitudes (>97%), even exceeding median filter (MF) results. However, the MF obtained better waveform preservation, with a smaller dependence on fixation width. Conclusions: The proposed technique is better at deleting blinks and overshoots than the MF in model and real EOG signals

Measuring Performance of Virtual Keyboards Based on Cyclic Scanning

This paper presents an exhaustive study into the different topologies of virtual ambiguous keyboards that operate by scanning techniques, analyzing the text entry average time (tc) and the average number of user inputs (UIc) per character. An mathematical model shows that in comparison with unambiguous one, text entry, in multi-tap mode, doesn’t offers better performance,because both tc and UIc are greater in them. Another method of text entry, called Tnk (Text in n keys), offers improvement with respect to unambiguous keyboards. But solely highly ambiguous keyboard (4-keys keyboards) shows a jointly reduction in tc and UIc . Results obtained with the model do to focus on highly ambiguous keyboard. This paper demonstrate, using simulation with extensive text, that character prediction with TnK mode only have better performance than unambiguous keyboard with character prediction in UIc parameter. Another techniques of text entry are also studied.Junta de Andalucía p08-TIC-363