Handbook of research on user interface design and evaluation for mobile technology

In recent years, mobile technology has been one of the major growth areas in computing. Designing the user interface for mobile applications, however, is a very complex undertaking which is made even more challenging by the rapid technological developments in mobile hardware. Mobile human-computer interaction, unlike desktop-based interaction, must be cognizant of a variety of complex contextual factors affecting both users and technology. The Handbook of Research on User Interface Design and Evaluation provides students, researchers, educators, and practitioners with a compendium of research on the key issues surrounding the design and evaluation of mobile user interfaces, such as the physical environment and social context in which a mobile device is being used and the impact of multitasking behavior typically exhibited by mobile-device users. Compiling the expertise of over 150 leading experts from 26 countries, this exemplary reference tool will make an indispensable addition to every library collection.

iServe:a serious game for servitization

Servitization concerns the process of manufacturers shifting from a focus on producing and selling tangible goods to service-based business models. Factors that drive adoption of servitization are financial, strategic (competitive advantage) and marketing. However, uptake is slow and active efforts are being made to transfer knowledge about servitization to the manufacturing sector. This paper presents early results from the first test of a serious computer game which has the goal of educating managers about what advanced services are and how they fit in supply chains. Results suggest the role-play scenario tested is appropriate for an audience of largely non-expert gamers, and that the approach has the potential to instruct users about the role of services in the supply chain.

Multimodal field data entry:performance and usability issues

Mobile technologies have yet to be widely adopted by the Architectural, Engineering, and Construction (AEC) industry despite being one of the major growth areas in computing in recent years. This lack of uptake in the AEC industry is likely due, in large part, to the combination of small screen size and inappropriate interaction demands of current mobile technologies. This paper discusses the scope for multimodal interaction design with a specific focus on speech-based interaction to enhance the suitability of mobile technology use within the AEC industry by broadening the field data input capabilities of such technologies. To investigate the appropriateness of using multimodal technology for field data collection in the AEC industry, we have developed a prototype Multimodal Field Data Entry (MFDE) application. This application, which allows concrete testing technicians to record quality control data in the field, has been designed to support two different modalities of data input speech-based data entry and stylus-based data entry. To compare the effectiveness or usability of, and user preference for, the different input options, we have designed a comprehensive lab-based evaluation of the application. To appropriately reflect the anticipated context of use within the study design, careful consideration had to be given to the key elements of a construction site that would potentially influence a test technician's ability to use the input techniques. These considerations and the resultant evaluation design are discussed in detail in this paper.

Non-Linear Network-Flow Model of Lukasiewicz’s Multivalue Logic

The paper presents a new network-flow interpretation of Łukasiewicz’s logic based on models with an increased effectiveness. The obtained results show that the presented network-flow models principally may work for multivalue logics with more than three states of the variables i.e. with a finite set of states in the interval from 0 to 1. The described models give the opportunity to formulate various logical functions. If the results from a given model that are contained in the obtained values of the arc flow functions are used as input data for other models then it is possible in Łukasiewicz’s logic to interpret successfully other sophisticated logical structures. The obtained models allow a research of Łukasiewicz’s logic with specific effective methods of the network-flow programming. It is possible successfully to use the specific peculiarities and the results pertaining to the function ‘traffic capacity of the network arcs’. Based on the introduced network-flow approach it is possible to interpret other multivalue logics – of E.Post, of L.Brauer, of Kolmogorov, etc.

Using the e-Class Open Platform for e-Learning Support at the TEI of Larissa, Greece

In the current paper we firstly give a short introduction on e-learning platforms and review the case of the e-class open e-learning platform being used by the Greek tertiary education sector. Our analysis includes strategic selection issues and outcomes in general and operational and adoption issues in the case of the Technological Educational Institute (TEI) of Larissa, Greece. The methodology is being based on qualitative analysis of interviews with key actors using the platform, and statistical analysis of quantitative data related to adoption and usage in the relevant populations. The author has been a key actor in all stages and describes his insights as an early adopter, diffuser and innovative user. We try to explain the issues under consideration using existing past research outcomes and we also arrive to some conclusions and points for further research.

Enhancing visibility in EPCIS governing agri-food supply chains via linked pedigrees

Data integration for the purposes of tracking, tracing and transparency are important challenges in the agri-food supply chain. The Electronic Product Code Information Services (EPCIS) is an event-oriented GS1 standard that aims to enable tracking and tracing of products through the sharing of event-based datasets that encapsulate the Electronic Product Code (EPC). In this paper, the authors propose a framework that utilises events and EPCs in the generation of "linked pedigrees" - linked datasets that enable the sharing of traceability information about products as they move along the supply chain. The authors exploit two ontology based information models, EEM and CBVVocab within a distributed and decentralised framework that consumes real time EPCIS events as linked data to generate the linked pedigrees. The authors exemplify the usage of linked pedigrees within the fresh fruit and vegetables supply chain in the agri-food sector.

Switching patterns and steady-state analysis of grid-connected and stand-alone single-stage boost-inverters for PV applications

Renewable or sustainable energy (SE) sources have attracted the attention of many countries because the power generated is environmentally friendly, and the sources are not subject to the instability of price and availability. This dissertation presents new trends in the DC-AC converters (inverters) used in renewable energy sources, particularly for photovoltaic (PV) energy systems. A review of the existing technologies is performed for both single-phase and three-phase systems, and the pros and cons of the best candidates are investigated. In many modern energy conversion systems, a DC voltage, which is provided from a SE source or energy storage device, must be boosted and converted to an AC voltage with a fixed amplitude and frequency. A novel switching pattern based on the concept of the conventional space-vector pulse-width-modulated (SVPWM) technique is developed for single-stage, boost-inverters using the topology of current source inverters (CSI). The six main switching states, and two zeros, with three switches conducting at any given instant in conventional SVPWM techniques are modified herein into three charging states and six discharging states with only two switches conducting at any given instant. The charging states are necessary in order to boost the DC input voltage. It is demonstrated that the CSI topology in conjunction with the developed switching pattern is capable of providing the required residential AC voltage from a low DC voltage of one PV panel at its rated power for both linear and nonlinear loads. In a micro-grid, the active and reactive power control and consequently voltage regulation is one of the main requirements. Therefore, the capability of the single-stage boost-inverter in controlling the active power and providing the reactive power is investigated. It is demonstrated that the injected active and reactive power can be independently controlled through two modulation indices introduced in the proposed switching algorithm. The system is capable of injecting a desirable level of reactive power, while the maximum power point tracking (MPPT) dictates the desirable active power. The developed switching pattern is experimentally verified through a laboratory scaled three-phase 200W boost-inverter for both grid-connected and stand-alone cases and the results are presented.

Tracking the Effects of Salt Water Encroachment on South Florida Coastal Ecotones Using Mollusks

Many coastal wetland communities of south Florida have been cut off from freshwater sheet flow for decades and are migrating landward due to salt-water encroachment. A paleoecological study using mollusks was conducted to assess the rates and effects of salt-water encroachment due to freshwater diversion and sea level rise on coastal wetland basins in Biscayne National Park. Modem mollusk distributions taken from 226 surface sites were used to determine local habitat affinities which were applied to infer past environments from mollusk distributions found in soil cores. Mollusks species compositions were found to be strongly correlated to habitat and salinity, providing reliable predictions. Wetland soils were cored to bedrock at 36locations. Mollusks were abundant throughout the cores and 15 of the 20 most abundant taxa served as bioindicators of salinity and habitat. Historic accounts coupled with mollusk based inference models indicate (1) increasing salinity levels along the coast and encroaching into the interior with mangroves communities currently migrating westward, (2) replacement of a mixed graminoid-mangrove zone by a dense monoculture of dwarf mangroves, and (3) a confinement of freshwater and freshwater graminoid marsh to landward areas between urban developments and drainage canals.

Next generation of recommender systems: Algorithms and applications

Personalized recommender systems aim to assist users in retrieving and accessing interesting items by automatically acquiring user preferences from the historical data and matching items with the preferences. In the last decade, recommendation services have gained great attention due to the problem of information overload. However, despite recent advances of personalization techniques, several critical issues in modern recommender systems have not been well studied. These issues include: (1) understanding the accessing patterns of users (i.e., how to effectively model users' accessing behaviors); (2) understanding the relations between users and other objects (i.e., how to comprehensively assess the complex correlations between users and entities in recommender systems); and (3) understanding the interest change of users (i.e., how to adaptively capture users' preference drift over time). To meet the needs of users in modern recommender systems, it is imperative to provide solutions to address the aforementioned issues and apply the solutions to real-world applications. ^ The major goal of this dissertation is to provide integrated recommendation approaches to tackle the challenges of the current generation of recommender systems. In particular, three user-oriented aspects of recommendation techniques were studied, including understanding accessing patterns, understanding complex relations and understanding temporal dynamics. To this end, we made three research contributions. First, we presented various personalized user profiling algorithms to capture click behaviors of users from both coarse- and fine-grained granularities; second, we proposed graph-based recommendation models to describe the complex correlations in a recommender system; third, we studied temporal recommendation approaches in order to capture the preference changes of users, by considering both long-term and short-term user profiles. In addition, a versatile recommendation framework was proposed, in which the proposed recommendation techniques were seamlessly integrated. Different evaluation criteria were implemented in this framework for evaluating recommendation techniques in real-world recommendation applications. ^ In summary, the frequent changes of user interests and item repository lead to a series of user-centric challenges that are not well addressed in the current generation of recommender systems. My work proposed reasonable solutions to these challenges and provided insights on how to address these challenges using a simple yet effective recommendation framework.^

Las representaciones construidas por estudiantes universitarios acerca del modelo científico de membrana citoplasmática. Diagnóstico y relevancia en el proceso de enseñanza aprendizaje

Aprender ciencia requiere aprender modelos y reconstruirlos en el aula. Los docentes que enseñan ciencia utilizan habitualmente en sus clases modelos científicos, los cuales constituyen una forma de representar la realidad. Se les atribuye a los modelos diferentes funciones: representar estructuras y fenómenos, ayudar en la visualización de entidades abstractas o microscópicas, asistir en la interpretación de resultados experimentales, entre otras. Los modelos científicos requieren un elevado nivel de abstracción, esto hace que muchas veces el alumnado encuentre dificultad en la comprensión e interpretación de los mismos. El presente trabajo se propone caracterizar las representaciones construidas por alumnos universitarios de la carrera de Psicología sobre el modelo de membrana citoplasmática y analizar su utilidad en las clases de Biología y su relevancia en el proceso de enseñanza aprendizaje. Para este fin se utilizó como instrumento una encuesta, elaborada ad hoc, que fue procesada a través de una estrategia metodológica mixta, estableciendo categorías. A partir del análisis del modelo explícito de la membrana citoplasmática expresado por los alumnos en las respuestas, se pondrán de manifiesto las características de los modelos mentales elaborados por ellos. De los resultados se desprende que aquellas investigaciones que se propongan interpretar la manera en que las personas construyen sus representaciones sobre determinados fenómenos, aportarán a la didáctica de las ciencias para mejorar el aprendizaje de los estudiantes; por otro lado se concluye que la analogía del modelo de membrana como mosaico fluido resulta poco significativa para los alumnos, que a menudo incorporan estos conceptos memorísticamente, representando un modelo que no es completamente científico. El trabajo con imágenes exige la mediación didáctica; resulta por eso necesario que los docentes comprendan que el razonamiento basado en modelos es una habilidad altamente deseable, pero requiere extenso entrenamiento y práctica dentro del ámbito áulico

Las representaciones construidas por estudiantes universitarios acerca del modelo científico de membrana citoplasmática. Diagnóstico y relevancia en el proceso de enseñanza aprendizaje

Aprender ciencia requiere aprender modelos y reconstruirlos en el aula. Los docentes que enseñan ciencia utilizan habitualmente en sus clases modelos científicos, los cuales constituyen una forma de representar la realidad. Se les atribuye a los modelos diferentes funciones: representar estructuras y fenómenos, ayudar en la visualización de entidades abstractas o microscópicas, asistir en la interpretación de resultados experimentales, entre otras. Los modelos científicos requieren un elevado nivel de abstracción, esto hace que muchas veces el alumnado encuentre dificultad en la comprensión e interpretación de los mismos. El presente trabajo se propone caracterizar las representaciones construidas por alumnos universitarios de la carrera de Psicología sobre el modelo de membrana citoplasmática y analizar su utilidad en las clases de Biología y su relevancia en el proceso de enseñanza aprendizaje. Para este fin se utilizó como instrumento una encuesta, elaborada ad hoc, que fue procesada a través de una estrategia metodológica mixta, estableciendo categorías. A partir del análisis del modelo explícito de la membrana citoplasmática expresado por los alumnos en las respuestas, se pondrán de manifiesto las características de los modelos mentales elaborados por ellos. De los resultados se desprende que aquellas investigaciones que se propongan interpretar la manera en que las personas construyen sus representaciones sobre determinados fenómenos, aportarán a la didáctica de las ciencias para mejorar el aprendizaje de los estudiantes; por otro lado se concluye que la analogía del modelo de membrana como mosaico fluido resulta poco significativa para los alumnos, que a menudo incorporan estos conceptos memorísticamente, representando un modelo que no es completamente científico. El trabajo con imágenes exige la mediación didáctica; resulta por eso necesario que los docentes comprendan que el razonamiento basado en modelos es una habilidad altamente deseable, pero requiere extenso entrenamiento y práctica dentro del ámbito áulico

Las representaciones construidas por estudiantes universitarios acerca del modelo científico de membrana citoplasmática. Diagnóstico y relevancia en el proceso de enseñanza aprendizaje

Aprender ciencia requiere aprender modelos y reconstruirlos en el aula. Los docentes que enseñan ciencia utilizan habitualmente en sus clases modelos científicos, los cuales constituyen una forma de representar la realidad. Se les atribuye a los modelos diferentes funciones: representar estructuras y fenómenos, ayudar en la visualización de entidades abstractas o microscópicas, asistir en la interpretación de resultados experimentales, entre otras. Los modelos científicos requieren un elevado nivel de abstracción, esto hace que muchas veces el alumnado encuentre dificultad en la comprensión e interpretación de los mismos. El presente trabajo se propone caracterizar las representaciones construidas por alumnos universitarios de la carrera de Psicología sobre el modelo de membrana citoplasmática y analizar su utilidad en las clases de Biología y su relevancia en el proceso de enseñanza aprendizaje. Para este fin se utilizó como instrumento una encuesta, elaborada ad hoc, que fue procesada a través de una estrategia metodológica mixta, estableciendo categorías. A partir del análisis del modelo explícito de la membrana citoplasmática expresado por los alumnos en las respuestas, se pondrán de manifiesto las características de los modelos mentales elaborados por ellos. De los resultados se desprende que aquellas investigaciones que se propongan interpretar la manera en que las personas construyen sus representaciones sobre determinados fenómenos, aportarán a la didáctica de las ciencias para mejorar el aprendizaje de los estudiantes; por otro lado se concluye que la analogía del modelo de membrana como mosaico fluido resulta poco significativa para los alumnos, que a menudo incorporan estos conceptos memorísticamente, representando un modelo que no es completamente científico. El trabajo con imágenes exige la mediación didáctica; resulta por eso necesario que los docentes comprendan que el razonamiento basado en modelos es una habilidad altamente deseable, pero requiere extenso entrenamiento y práctica dentro del ámbito áulico

European route choice determinants

Different charging zones are found within European airspace. This allows airlines to select different routes between origin and destination that have different lengths and en-route charges. There is a trade- off between the shortest available route and other routes that might have different charges. This paper analyses the routes submitted by airlines to be operated on a given day and compares the associated costs of operating those routes with the shortest available at the time, in terms of en-route charges and fuel consumption. The flights are characterised by different variables with the idea of identifying a behaviour or pattern based on the airline or flight characteristics. Results show that in some areas of the European airspace there might be an incentive to select a longer route, leading to both a lower charge and a lower total cost. However, more variables need to be considered and other techniques used, such as factor analysis, to be able to identify the behaviour within an airline category.

Projecting Changes in the Distribution and Productivity of Living Marine Resources: A Critical Review of the Suite of Modeling Approaches used in the Large European Project VECTORS

We review and compare four broad categories of spatially-explicit modelling approaches currently used to understand and project changes in the distribution and productivity of living marine resources including: 1) statistical species distribution models, 2) physiology-based, biophysical models of single life stages or the whole life cycle of species, 3) food web models, and 4) end-to-end models. Single pressures are rare and, in the future, models must be able to examine multiple factors affecting living marine resources such as interactions between: i) climate-driven changes in temperature regimes and acidification, ii) reductions in water quality due to eutrophication, iii) the introduction of alien invasive species, and/or iv) (over-)exploitation by fisheries. Statistical (correlative) approaches can be used to detect historical patterns which may not be relevant in the future. Advancing predictive capacity of changes in distribution and productivity of living marine resources requires explicit modelling of biological and physical mechanisms. New formulations are needed which (depending on the question) will need to strive for more realism in ecophysiology and behaviour of individuals, life history strategies of species, as well as trophodynamic interactions occurring at different spatial scales. Coupling existing models (e.g. physical, biological, economic) is one avenue that has proven successful. However, fundamental advancements are needed to address key issues such as the adaptive capacity of species/groups and ecosystems. The continued development of end-to-end models (e.g., physics to fish to human sectors) will be critical if we hope to assess how multiple pressures may interact to cause changes in living marine resources including the ecological and economic costs and trade-offs of different spatial management strategies. Given the strengths and weaknesses of the various types of models reviewed here, confidence in projections of changes in the distribution and productivity of living marine resources will be increased by assessing model structural uncertainty through biological ensemble modelling.

Projecting Changes in the Distribution and Productivity of Living Marine Resources: A Critical Review of the Suite of Modeling Approaches used in the Large European Project VECTORS

We review and compare four broad categories of spatially-explicit modelling approaches currently used to understand and project changes in the distribution and productivity of living marine resources including: 1) statistical species distribution models, 2) physiology-based, biophysical models of single life stages or the whole life cycle of species, 3) food web models, and 4) end-to-end models. Single pressures are rare and, in the future, models must be able to examine multiple factors affecting living marine resources such as interactions between: i) climate-driven changes in temperature regimes and acidification, ii) reductions in water quality due to eutrophication, iii) the introduction of alien invasive species, and/or iv) (over-)exploitation by fisheries. Statistical (correlative) approaches can be used to detect historical patterns which may not be relevant in the future. Advancing predictive capacity of changes in distribution and productivity of living marine resources requires explicit modelling of biological and physical mechanisms. New formulations are needed which (depending on the question) will need to strive for more realism in ecophysiology and behaviour of individuals, life history strategies of species, as well as trophodynamic interactions occurring at different spatial scales. Coupling existing models (e.g. physical, biological, economic) is one avenue that has proven successful. However, fundamental advancements are needed to address key issues such as the adaptive capacity of species/groups and ecosystems. The continued development of end-to-end models (e.g., physics to fish to human sectors) will be critical if we hope to assess how multiple pressures may interact to cause changes in living marine resources including the ecological and economic costs and trade-offs of different spatial management strategies. Given the strengths and weaknesses of the various types of models reviewed here, confidence in projections of changes in the distribution and productivity of living marine resources will be increased by assessing model structural uncertainty through biological ensemble modelling.