The Augmented Learner : The pivotal role of multimedia enhanced learning within a foresight-based learning model designed to accelerate the delivery of higher levels of learner creativity

The central theme for this dissertation lies at the intersection of multisensory technology enhanced learning, the field of foresight and transformative pedagogy and their role in helping to develop greater learner creativity. These skills will be key to meeting the needs of the projected growing role of the creative class within the emerging global workforce structure and the projected growth in R&D and the advancement of human-machine resource management. Over the past two decades, we have traversed from the Industrial Age through the Information Age into what we now call postnormal times, manifested partly in Industry 4.0. It is widely considered that the present education system in countries with developed economies is not optimised for delivering the much-needed creative skills, which are prominent amongst the critical 21st C skills required by the creative class, (also known as creatives), which will be increasingly dominant in terms of near future employability. Consequently, there will be a potential shortfall of creatives unless this issue is rapidly addressed. To ensure that the creative skills I aimed to enhance were relevant and aligned with emerging demands of the changing landscape, I deconstructed the critical dimensions, context, and concept of creativity in postnormal times as well as undertaking in-depth research on the potential future workscape and the future of education and learning, applying a comprehensive foresight approach to the latter using a 2030-2040 horizon. Based upon the outcomes of these studies I designed an experimental integrative learning system that I have applied, researched, and evolved over the past 4 years with over 150 students at PhD and master’s level. The system is aimed at generating higher levels of creative engagement and development through a focus on increased immersion and creativity-inducing approaches. The system, which I call the Living Learning System, is based upon eight integrated elements, supported by course development pillars aimed at optimizing learner future skill competencies and levels of creativity for which I apply severalevaluation techniques and metrics. Accordingly, as the central hypothesis of this dissertation, I argue that by integrating the critical elements of the Living Learning System, such as emerging multisensory technology enhanced learning coupled with optimised transformative and experiential learning approaches, framed within the field of foresight, with its futures focus and decentralised thinking approaches, students increase their ability to be creative. This increased ability is based on the student attaining a richer level of personal ambience through deeper immersion generated through higher incidence of self-direction, constructivism-based blended pedagogy, futures literacy, and a balance of decentralised and systems-based thinking, as well as cognitive and social platforms aimed at optimizing learner creative achievement. This dissertation demonstrates how the application of the combined elements of the Living Learning System, with its futures focus and its ensuing transdisciplinary curricula and courses, can provide a clear path towards significantly increased learner creativity. The findings of the quantitative, questionnaire-based research set out in detail in Chapter 9, together with the performance and creativity evaluation models applied against the selected case studies of student projects substantiate the validity of the hypothesis that the application of the Living Learning System with its futures focus leads to increased creativity in line with the needs of the postnormal era.publishedVersio

IFIP TC 13 Seminar: trends in HCI proceedings, March 26, 2007, Salamanca (Spain)

Actas del 13o. Seminario de la International Federation for Information Processing (IFIP), celebrado en Salamanca el 26 de marzo de 2007, sobre las nuevas líneas de investigación en la interacción hombre-máquina, gestión del conocimiento y enseñanza por la Web

Semantic discovery and reuse of business process patterns

Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse

Towards new human rights in the age of neuroscience and neurotechnology

Rapid advancements in human neuroscience and neurotechnology open unprecedented possibilities for accessing, collecting, sharing and manipulating information from the human brain. Such applications raise important challenges to human rights principles that need to be addressed to prevent unintended consequences. This paper assesses the implications of emerging neurotechnology applications in the context of the human rights framework and suggests that existing human rights may not be sufficient to respond to these emerging issues. After analysing the relationship between neuroscience and human rights, we identify four new rights that may become of great relevance in the coming decades: the right to cognitive liberty, the right to mental privacy, the right to mental integrity, and the right to psychological continuity

Robots, Cyborgs, and Humans. A Model of Consumer Behavior in Services: A Study in the Healthcare Services Sector

La present tesi es basa en una investigació que proposa un ús futurista de l'robot i el cyborg com cirurgians oculars. El model desenvolupat investiga la intenció de l'consumidor per elegir cada cirurgià (és a dir: cirurgià robot, cirurgià cyborg o cirurgià humà). Les dades es van analitzar utilitzant la tècnica PLS-SEM. Els resultats de la investigació mostren que l'expectativa d'esforç, l'expectativa de rendiment, el risc percebut i la influència social van mostrar un impacte significatiu en la intenció d'utilitzar els serveis de l'robot cirurgià. Els resultats de el model per al cyborg cirurgià van confirmar l'impacte significatiu de l'expectativa d'esforç, l'excitació, l'expectativa de rendiment i la influència social en la intenció d'utilitzar els seus serveis. L'expectativa d'esforç i la influència social van confirmar un impacte significatiu en la intenció d'utilitzar els serveis de l'cirurgià humà. Els resultats mostren que en els tres models les variables influència social i expectativa d'esforç afecten significativament a la intenció d'utilitzar aquests serveis de cirurgia i que amb diferent intensitat entre els models per expectativa de esforç-. L'impacte de la influència social dóna una idea general sobre la naturalesa de el sector de la salut a Jordània, on una part de la societat presta més atenció a les recomanacions dels altres a l'elegir els seus cirurgians. A més, l'impacte de l'expectativa d'esforç contribueix a les expectatives per la simplicitat de l'servei dels pacients, en termes d'ús i interacció amb els cirurgians proposats. L'anàlisi multigrup va confirmar que les variables dels models estan afectant de la mateixa manera a l'comparar la intenció d'usar cyborgs i humans, i a l'comparar cyborgs i robots. No obstant això, sí que hi ha diferències significatives a l'comparar l'elecció entre robots i humans en l'impacte de l'expectativa d'esforç per utilitzar els serveis de cirurgia. D'altra banda, els participants van mostrar la seva preferència pel cirurgià humà sobre els cirurgians cyborg i robot, respectivament. Com a resultat, l'acceptació de les tecnologies de robot i cyborg per part de la societat podria donar una idea sobre la lluita esperada en el futur entre el desenvolupament de robots i la millora de les capacitats humanes.La presente tesis se basa en una investigación que propone un uso futurista del robot y el cyborg como cirujanos oculares. El modelo desarrollado investiga la intención del consumidor para elegir a cada cirujano (es decir: cirujano robot, cirujano cyborg o cirujano humano). Los datos se analizaron utilizando la técnica PLS-SEM. Los resultados de la investigación muestran que la expectativa de esfuerzo, la expectativa de rendimiento, el riesgo percibido y la influencia social mostraron un impacto significativo en la intención de utilizar los servicios del robot cirujano. Los resultados del modelo para el cyborg cirujano confirmaron el impacto significativo de la expectativa de esfuerzo, la excitación, la expectativa de rendimiento y la influencia social en la intención de usar sus servicios. La expectativa de esfuerzo y la influencia social confirmaron un impacto significativo en la intención de utilizar los servicios del cirujano humano. Los resultados muestran que en los tres modelos las variables influencia social y expectativa de esfuerzo afectan significativamente a la intención de usar esos servicios de cirugía –aunque con distinta intensidad entre los modelos para expectativa de esfuerzo-. El impacto de la influencia social da una idea general sobre la naturaleza del sector de la salud en Jordania, donde una parte de la sociedad presta más atención a las recomendaciones de los demás al elegir a sus cirujanos. Además, el impacto de la expectativa de esfuerzo contribuye a las expectativas por la simplicidad del servicio de los pacientes, en términos de uso e interacción con los cirujanos propuestos. El análisis multigrupo confirmó que las variables de los modelos están afectando de la misma manera al comparar la intención de usar cyborgs y humanos, y al comparar cyborgs y robots. Sin embargo, sí que existen diferencias significativas al comparar la elección entre robots y humanos en el impacto de la expectativa de esfuerzo para utilizar los servicios de cirugía. Por otro lado, los participantes mostraron su preferencia por el cirujano humano sobre los cirujanos cyborg y robot, respectivamente. Como resultado, la aceptación de las tecnologías de robot y cyborg por parte de la sociedad podría dar una idea sobre la lucha esperada en el futuro entre el desarrollo de robots y la mejora de las capacidades humanThe research proposes a futuristic use of robot and cyborg as surgeons in an eye surgery. Thereafter, the developed model has been applied to investigate the intention to use each surgeon (i.e. robot surgeon, cyborg surgeon, and human surgeon). The data was analyzed using the PLS-SEM technique. According to the research results, effort expectancy, performance expectancy, perceived risk, and social influence showed a significant impact on intention to use robot services. However, the results of the cyborg service model confirmed the significant impact of effort expectancy, arousal, performance expectancy, and social influence on the intention to use cyborg services. Furthermore, effort expectancy and social influence confirmed their significant impact on the intention to use human services. The results of the three models showed that the variables social influence and effort expectancy significantly affected the intention to use these surgical services, with a different intensity between the models for effort expectancy. The social influence impact gives a general idea about the nature of the healthcare sector in Jordan, where a part of society gives more attention to the recommendation from others while choosing their surgeons. Also, the effort expectancy impact contributes to patients' expectations of simplicity, in terms of use and interaction with the proposed surgeons. The multigroup analysis confirmed that the models' variables are affecting the intention to use cyborg and human service, and cyborg and robots in the same way. However, the differences were confirmed between robot and human cyborgs in terms of the impact of effort expectancy on the intention to use these services. On the other side, the participants showed their preference of the human surgeon over the cyborg and robot surgeons, respectively. As a result, the acceptance of the robot and cyborg technologies by a part of the society could give an idea about the expected struggle in the future among developing robots and enhancing human capabilities

Jihadist Cells and IED Capabilities in Europe: Assessing the Present and Future Threat to the West

The first of two interrelated security threats is multifaceted inasmuch as it stems from a complex combination of religious, political, historical, cultural, social, and economic motivational factors caused by the growing predilection for carrying out mass casualty terrorist attacks inside the territories of “infidel” Western countries by clandestine operational cells that are inspired by, and sometimes linked to, various jihadist networks with a global agenda. The second threat is more narrowly technical: the widespread fabrication of increasingly sophisticated and destructive improvised explosive devices (IEDs) by those very same jihadist groups. These devices, if properly constructed, are capable of causing extensive human casualties and significant amounts of physical destruction within the radius of their respective blasts. These dual intersecting threats within the recent European context are examined in an effort to assess what they might portend for the future, including within the U.S. homeland.https://press.armywarcollege.edu/monographs/1536/thumbnail.jp

Advances in Reinforcement Learning

Reinforcement Learning (RL) is a very dynamic area in terms of theory and application. This book brings together many different aspects of the current research on several fields associated to RL which has been growing rapidly, producing a wide variety of learning algorithms for different applications. Based on 24 Chapters, it covers a very broad variety of topics in RL and their application in autonomous systems. A set of chapters in this book provide a general overview of RL while other chapters focus mostly on the applications of RL paradigms: Game Theory, Multi-Agent Theory, Robotic, Networking Technologies, Vehicular Navigation, Medicine and Industrial Logistic

Exploring the dynamics of the biocybernetic loop in physiological computing

Physiological computing is a highly multidisciplinary emerging field in which the spread of results across several application areas and disciplines creates a challenge of combining the lessons learned from various studies. The thesis comprises diverse publications that together create a privileged position for contributing to a common understanding of the roles and uses of physiological computing systems, generalizability of results across application areas, the theoretical grounding of the field (as with the various ways the psychophysiological states of the user can be modeled), and the emerging data analysis approaches from the domain of machine learning. The core of physiological computing systems has been built around the concept of biocybernetic loop, aimed at providing real-time adaptation to the cognitions, motivations, and emotions of the user. However, the traditional concept of the biocybernetic loop has been both self-regulatory and immediate; that is, the system adapts to the user immediately. The thesis presents an argument that this is too narrow a view of physiological computing, and it explores scenarios wherein the physiological signals are used not only to adapt to the user but to aid system developers in designing better systems, as well as to aid other users of the system. The thesis includes eight case studies designed to answer three research questions: 1) what are the various dynamics the biocybernetic loop can display, 2) how do the changes in loop dynamics affect the way the user is represented and modeled, and 3) how do the choices of loop dynamics and user representations affect the selection of machine learning methods and approaches? To answer these questions, an analytical model for physiological computing is presented that divides each of the physiological computing systems into five separate layers. The thesis presents three main findings corresponding to the three research questions: Firstly, the case studies show that physiological computing extends beyond the simple real-time self-regulatory loop. Secondly, the selected user representations seem to correlate with the type of loop dynamics. Finally, the case studies show that the machine learning approaches are implemented at the level of feature generation and are used when the loop diverges from the traditional real-time and self-regulatory dynamics into systems where the adaptation happens in the future.Perinteinen ihmisen ja tietokoneen vuorovaikutus on hyvin epäsymmetristä: tietokone voi esittää ihmiselle monimutkaista audiovisuaalista informaatiota kun taas ihmisen kommunikaatio koneen suuntaan on rajattu näppäimistöön ja hiireen. Samoin, vaikka ihmisellä on mahdollisuus saada informaatiota tietokoneen sisäisestä tilasta, kuten muistin ja prosessorin käyttöasteesta, ei tietokoneella ole vastaavaa mahdollisuutta tutkia ihmisen sisäisiä tiloja kuten tunteita. Mittaamalla reaaliajassa ihmisen fysiologisia signaaleja nämä molemmat ongelmat voidaan ratkaista: näppäimistön ja hiiren lisäksi tietokone saa suuren määrän informaatiota ihmisen kognitiivisista ja affektiivisista tiloista. Esimerkiksi mittaamalla ihmisen sykettä tai ihon sähkönjohtavuutta voi tietokone päätellä onko käyttäjä juuri nyt kiihtynyt tai rentoutunut. Tällaista fysiologisten signaalien reaaliaikaista hyödyntämistä ihmisen ja koneen vuorovaikutuksessa on tutkittu onnistuneesti monessa eri yhteyksissä: autonkuljettajien väsymystä voidaan mitata ja tarvittaessa varoittaa ajajaa, tietokonepelaajia mittaamalla on mahdollista säätää pelin vaikeustasoa sopivaksi ja älykello voi reagoida käyttäjän stressiin ehdottamalla rentoutumisharjoitusta. Näitä tapauksia yhdistää se, että käyttäjän fysiologisia signaaleja käytetään reaaliajassa sopeuttamaan järjestelmä käyttäjän itsensä tarpeisiin. Tällaista järjestelmän sopeuttamista reaaliajassa käyttäjän fysiologisten signaalien perusteella kutsutaan “biokyberneettiseksi silmukaksi” (biocybernetic loop). Biokyberneettisen silmukka on perinteisesti määritelty systeemin sopeuttamiseen yksittäisen käyttäjän sen hetkisen fysiologisen vasteen mukaan. Väitöskirjan tarkoitus on tutkia kuinka biokyberneettisen silmukan dynamiikkaa voidaan laajentaa sekä tilassa (voiko silmukka käsittää useita käyttäjiä) ja ajassa (voiko silmukan idea toimia myös ei-reaaliajassa). Erityisesti keskitytään tutkimaan kuinka muutokset silmukan dynamiikassa vaikuttavat silmukan toteutuksen yksityiskohtiin: kannattaako käyttäjää mallintaa eri tavoin ja ovatko tietyn tyyppiset silmukat soveltuvampia koneoppimiseen verrattuna ns. käsintehtyyn ratkaisuun. Väitöskirja sisältää kahdeksan käyttäjätutkimusta, jotka peilaavat biokyberneettisen silmukan käyttäytymistä erilaisissa konteksteissa. Tutkimukset osoittavat, että biokyberneettistä silmukkaa voidaan käyttää myös osana järjestelmän suunnittelua kun fysiologisten mittausten tulokset ohjataan järjestelmän kehittelijöille, ja järjestelmän muiden käyttäjien auttamiseen suosittelujärjestelmissä, joissa käyttäjän antamaa implisiittistä palautetta käytetään hyväksi suositeltaessa tuotteita toisille käyttäjille

Efficient Decision Support Systems

This series is directed to diverse managerial professionals who are leading the transformation of individual domains by using expert information and domain knowledge to drive decision support systems (DSSs). The series offers a broad range of subjects addressed in specific areas such as health care, business management, banking, agriculture, environmental improvement, natural resource and spatial management, aviation administration, and hybrid applications of information technology aimed to interdisciplinary issues. This book series is composed of three volumes: Volume 1 consists of general concepts and methodology of DSSs; Volume 2 consists of applications of DSSs in the biomedical domain; Volume 3 consists of hybrid applications of DSSs in multidisciplinary domains. The book is shaped decision support strategies in the new infrastructure that assists the readers in full use of the creative technology to manipulate input data and to transform information into useful decisions for decision makers

High-Performance Modelling and Simulation for Big Data Applications

This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project. Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of the domain at hand, their representation gets increasingly demanding for computational and data resources. On the other hand, High Performance Computing typically entails the effective use of parallel and distributed processing units coupled with efficient storage, communication and visualisation systems to underpin complex data-intensive applications in distinct scientific and technical domains. It is then arguably required to have a seamless interaction of High Performance Computing with Modelling and Simulation in order to store, compute, analyse, and visualise large data sets in science and engineering. Funded by the European Commission, cHiPSet has provided a dynamic trans-European forum for their members and distinguished guests to openly discuss novel perspectives and topics of interests for these two communities. This cHiPSet compendium presents a set of selected case studies related to healthcare, biological data, computational advertising, multimedia, finance, bioinformatics, and telecommunications