The anatomy of a collaborative writing tool for public participation in democracy

Two approaches to online collaborative writing for the formulation of norms (laws, bills) are discussed: a Wikipedia-like approach and a structured approach

Intellectual Property Management in Health and Agricultural Innovation: A Handbook of Best Practices, Vol. 1

Prepared by and for policy-makers, leaders of public sector research establishments, technology transfer professionals, licensing executives, and scientists, this online resource offers up-to-date information and strategies for utilizing the power of both intellectual property and the public domain. Emphasis is placed on advancing innovation in health and agriculture, though many of the principles outlined here are broadly applicable across technology fields. Eschewing ideological debates and general proclamations, the authors always keep their eye on the practical side of IP management. The site is based on a comprehensive Handbook and Executive Guide that provide substantive discussions and analysis of the opportunities awaiting anyone in the field who wants to put intellectual property to work. This multi-volume work contains 153 chapters on a full range of IP topics and over 50 case studies, composed by over 200 authors from North, South, East, and West. If you are a policymaker, a senior administrator, a technology transfer manager, or a scientist, we invite you to use the companion site guide available at http://www.iphandbook.org/index.html The site guide distills the key points of each IP topic covered by the Handbook into simple language and places it in the context of evolving best practices specific to your professional role within the overall picture of IP management

Music Learning with Massive Open Online Courses

Steels, Luc et al.-- Editors: Luc SteelsMassive Open Online Courses, known as MOOCs, have arisen as the logical consequence of marrying long-distance education with the web and social media. MOOCs were confidently predicted by advanced thinkers decades ago. They are undoubtedly here to stay, and provide a valuable resource for learners and teachers alike. This book focuses on music as a domain of knowledge, and has three objectives: to introduce the phenomenon of MOOCs; to present ongoing research into making MOOCs more effective and better adapted to the needs of teachers and learners; and finally to present the first steps towards 'social MOOCs’, which support the creation of learning communities in which interactions between learners go beyond correcting each other's assignments. Social MOOCs try to mimic settings for humanistic learning, such as workshops, small choirs, or groups participating in a Hackathon, in which students aided by somebody acting as a tutor learn by solving problems and helping each other. The papers in this book all discuss steps towards social MOOCs; their foundational pedagogy, platforms to create learning communities, methods for assessment and social feedback and concrete experiments. These papers are organized into five sections: background; the role of feedback; platforms for learning communities; experiences with social MOOCs; and looking backwards and looking forward. Technology is not a panacea for the enormous challenges facing today's educators and learners, but this book will be of interest to all those striving to find more effective and humane learning opportunities for a larger group of students.Funded by the European Commission's OpenAIRE2020 project.Peer reviewe

Accessible collaborative learning environments for mobile devices

Mención Internacional en el título de doctorNew technologies and devices are being used in learning environments by teachers and students. Some of these tools are computer supported collaborative learning tools that help them collaborate with each other and share knowledge. Chat applications are one of these tools. These tools allow sharing materials and knowledge or solve doubts in real time without the necessity of being in the same room at the same time. Especially, these tools are being used in mobile devices which make collaboration more ubiquitous because people can use them everywhere. However, existing chat applications are not fully accessible and present accessibility barriers that users need to face every day. People with disabilities encounter these barriers every day despite of they have the same rights as people without disabilities according to multiple regulations in many countries around the World. These barriers might not be faced by people with disabilities only, people with disabilities who use mobile devices in different environments e.g. on the move or in bright environments can suffer similar problems as people with disabilities. This thesis aims to identify the accessibility barriers that m-learning chat applications have. Besides, considering these problems, this research aims, as far as possible, to improve the accessibility of chat applications. As a result, people with and without disabilities could collaborate with each other without facing accessibility barriers that will mermaid their learning. The main objectives of this thesis are: firstly, identify accessibility barriers that people with and without disabilities face when they use chat applications; secondly, specify the requirements that accessible m-learning chat applications should include for being accessible; and finally, provide an accessible interaction improvement for these applications. All these objectives have been achieved following a user centred design approach. As a result, more than 200 people with and without disabilities have participated in this thesis.Las tecnologías de la información se utilizan en entornos educativos para ayudar a los estudiantes y profesores a compartir y mejorar el aprendizaje. Algunas de estas herramientas permiten a los estudiantes compartir conocimiento y aprender colaborando entre sí, y se suelen denominar herramientas de aprendizaje colaborativas. Un ejemplo de herramienta colaborativa es la aplicación Chat. A través de estas aplicaciones, los profesores y estudiantes pueden compartir recursos y conocimiento o resolver dudas en tiempo real, sin la necesidad de encontrarse en la misma aula al mismo tiempo. Estas herramientas se utilizan hoy en día en dispositivos móviles que permiten realizar colaboraciones de forma ubicua, ya que se pueden utilizar desde cualquier lugar. Sin embargo, hoy en día las aplicaciones chats que existen en el mercado no son completamente accesibles, presentando barreras de accesibilidad que los usuarios tienen que sortear cada día. Las personas con discapacidad sufren estas barreras, a pesar de que están amparados por leyes de todo el mundo que especifican que tienen los mismos derechos que las personas sin discapacidad. Estas barreras de accesibilidad no son barreras que sólo personas con discapacidad pueden percibir, personas sin discapacidad pueden sufrir los mismos problemas cuando utilizan estas herramientas en dispositivos móviles, cuando se están desplazando o cuando utilizan los dispositivos en espacios abiertos con mucha luz. En esta tesis doctoral se pretende estudiar las barreras de accesibilidad que presentan las aplicaciones chat en entornos educativos con dispositivos móviles. De esta forma, se trata, en la medida de lo posible, de mejorar la accesibilidad de este tipo de aplicaciones. Como resultado, personas con discapacidad y sin discapacidad podrán colaborar entre sí, sin encontrar problemas de accesibilidad. Los tres objetivos principales de esta tesis son: primero, identificar los problemas que las personas con y sin discapacidad tienen cuando utilizan los chats; segundo, especificar los requisitos de accesibilidad que los chats deben incluir en entornos de aprendizaje utilizando dispositivos móviles; y finalmente, realizar una propuesta de mejora de accesibilidad de este tipo de aplicaciones. Todos estos objetivos se han alcanzado siguiendo para ello un diseño centrado en el usuario en el que se ha contado con la participación de más de 200 personas con y sin discapacidad para obtener cada una de las aportaciones resultado de los objetivos propuestos.Programa Oficial de Doctorado en Ciencia y Tecnología InformáticaPresidente: Covadonga Rodrigo San Juan.- Secretario: María Belén Ruiz Mezcua.- Vocal: Leonel Caseiro Morgad

Co-design of augmented reality textbook for children’s collaborative learning experience in primary schools

Augmented Reality (AR) is a recent technology that allows a seamless composition between virtual objects and the real world. This practice-based research uses the affordances of AR to design an AR textbook for collaborative learning experience. It identifies the key concepts of children s AR textbooks for the designing and evaluation of collaborative learning experiences. These concepts were used to develop a conceptual framework for the AR textbook that considers collaborative experience, learning and usability. Informed by these concepts, the research also has identified the design features which are unique to AR affordances which can be integrated in the school textbooks to develop a collaborative AR textbook for primary school children. The research follows a participatory design approach to involve the users of the AR textbook in the design process. The researcher has conducted three co-design studies involving primary school children and adults using cooperative inquiry techniques. The first study uses low-tech prototyping to find the overall direction of designing the AR textbook. After the development of the first AR textbook prototype, two formative evaluations have been conducted using cooperative inquiry critiquing, and layered elaboration techniques. Throughout these studies, a conceptual framework has been developed namely, Experience, Learn and Use (ELU) for the designing and evaluation of children s AR textbooks for collaborative learning experience. This framework is based on the adaption of Janet Read s Play, Learn, Use (PLU) model that defines children s relationships with the interactive technologies. The research proposes the ELU framework as a useful classification framework in the evaluation process, which informs the design features of the AR textbook which are related to the concepts of collaborative experience, learning and usability. The practical component of the thesis proposes a sample of an AR textbook that is integrated in the regular school curriculum. It demonstrates the design features which can be implemented in other textbooks to support collaborative learning experiences for primary school children. The documentation of the co-design process provides a practical framework for co-designing an AR textbook with children, as well as an evidence of using the ELU framework in practice. 4 This research also contributes in bridging the gap between AR and Child-Computer Interaction (CCI) communities, through the use of common CCI methods in the AR development. This research has resulted in key design principles which contribute original knowledge to the literature of the AR for children s education considering the CCI perspective. These important principles are informed by the collaborative experiences, learning and usability aspects that establish a framework for the design and evaluation of collaborative AR textbook for children. The eight identified principles by this research are, Joint Textbooks, Personalised AR Experience, Interactive AR Book, Communication-Based Learning, Rewarding AR feedback, Audio AR Textbook, Intuitive AR Markers, and Mutual AR Display. The research introduces the definition for each of the concepts and a demonstration of the related design features in the outcome of the AR textbook prototype

ACUTA Journal of Telecommunications in Higher Education

This Is Issue Voice over lP: Still Emerging After All These Years Unified Messaging: A Killer App tor lP State-of-the-Art Communications at SUNY Upstate Medical OptlPuter Enables More Powerful Collaborative Research Wireless Technology: A Major Area of Telecommunications Growth Ready for Convergence: lT Management and Technologists Innovation Culture Clashes Speech Recognition Solves Problems Interview President\u27s Message From the Executive Directo

An interdisciplinary concept for human-centered explainable artificial intelligence - Investigating the impact of explainable AI on end-users

Since the 1950s, Artificial Intelligence (AI) applications have captivated people. However, this fascination has always been accompanied by disillusionment about the limitations of this technology. Today, machine learning methods such as Deep Neural Networks (DNN) are successfully used in various tasks. However, these methods also have limitations: Their complexity makes their decisions no longer comprehensible to humans - they are black-boxes. The research branch of Explainable AI (XAI) has addressed this problem by investigating how to make AI decisions comprehensible. This desire is not new. In the 1970s, developers of intrinsic explainable AI approaches, so-called white-boxes (e.g., rule-based systems), were dealing with AI explanations. Nowadays, with the increased use of AI systems in all areas of life, the design of comprehensible systems has become increasingly important. Developing such systems is part of Human-Centred AI (HCAI) research, which integrates human needs and abilities in the design of AI interfaces. For this, an understanding is needed of how humans perceive XAI and how AI explanations influence the interaction between humans and AI. One of the open questions concerns the investigation of XAI for end-users, i.e., people who have no expertise in AI but interact with such systems or are impacted by the system's decisions. This dissertation investigates the impact of different levels of interactive XAI of white- and black-box AI systems on end-users perceptions. Based on an interdisciplinary concept presented in this work, it is examined how the content, type, and interface of explanations of DNN (black box) and rule-based systems (white box) are perceived by end-users. How XAI influences end-users mental models, trust, self-efficacy, cognitive workload, and emotional state regarding the AI system is the centre of the investigation. At the beginning of the dissertation, general concepts regarding AI, explanations, and psychological constructs of mental models, trust, self-efficacy, cognitive load, and emotions are introduced. Subsequently, related work regarding the design and investigation of XAI for users is presented. This serves as a basis for the concept of a Human-Centered Explainable AI (HC-XAI) presented in this dissertation, which combines an XAI design approach with user evaluations. The author pursues an interdisciplinary approach that integrates knowledge from the research areas of (X)AI, Human-Computer Interaction, and Psychology. Based on this interdisciplinary concept, a five-step approach is derived and applied to illustrative surveys and experiments in the empirical part of this dissertation. To illustrate the first two steps, a persona approach for HC-XAI is presented, and based on that, a template for designing personas is provided. To illustrate the usage of the template, three surveys are presented that ask end-users about their attitudes and expectations towards AI and XAI. The personas generated from the survey data indicate that end-users often lack knowledge of XAI and that their perception of it depends on demographic and personality-related characteristics. Steps three to five deal with the design of XAI for concrete applications. For this, different levels of interactive XAI are presented and investigated in experiments with end-users. For this purpose, two rule-based systems (i.e., white-box) and four systems based on DNN (i.e., black-box) are used. These are applied for three purposes: Cooperation & collaboration, education, and medical decision support. Six user studies were conducted for this purpose, which differed in the interactivity of the XAI system used. The results show that end-users trust and mental models of AI depend strongly on the context of use and the design of the explanation itself. For example, explanations that a virtual agent mediates are shown to promote trust. The content and type of explanations are also perceived differently by users. The studies also show that end-users in different application contexts of XAI feel the desire for interactive explanations. The dissertation concludes with a summary of the scientific contribution, points out limitations of the presented work, and gives an outlook on possible future research topics to integrate explanations into everyday AI systems and thus enable the comprehensible handling of AI for all people.Seit den 1950er Jahren haben Anwendungen der Künstlichen Intelligenz (KI) die Menschen in ihren Bann gezogen. Diese Faszination wurde jedoch stets von Ernüchterung über die Grenzen dieser Technologie begleitet. Heute werden Methoden des maschinellen Lernens wie Deep Neural Networks (DNN) erfolgreich für verschiedene Aufgaben eingesetzt. Doch auch diese Methoden haben ihre Grenzen: Durch ihre Komplexität sind ihre Entscheidungen für den Menschen nicht mehr nachvollziehbar - sie sind Black-Boxes. Der Forschungszweig der Erklärbaren KI (engl. XAI) hat sich diesem Problem angenommen und untersucht, wie man KI-Entscheidungen nachvollziehbar machen kann. Dieser Wunsch ist nicht neu. In den 1970er Jahren beschäftigten sich die Entwickler von intrinsisch erklärbaren KI-Ansätzen, so genannten White-Boxes (z. B. regelbasierte Systeme), mit KI-Erklärungen. Heutzutage, mit dem zunehmenden Einsatz von KI-Systemen in allen Lebensbereichen, wird die Gestaltung nachvollziehbarer Systeme immer wichtiger. Die Entwicklung solcher Systeme ist Teil der Menschzentrierten KI (engl. HCAI) Forschung, die menschliche Bedürfnisse und Fähigkeiten in die Gestaltung von KI-Schnittstellen integriert. Dafür ist ein Verständnis darüber erforderlich, wie Menschen XAI wahrnehmen und wie KI-Erklärungen die Interaktion zwischen Mensch und KI beeinflussen. Eine der offenen Fragen betrifft die Untersuchung von XAI für Endnutzer, d.h. Menschen, die keine Expertise in KI haben, aber mit solchen Systemen interagieren oder von deren Entscheidungen betroffen sind. In dieser Dissertation wird untersucht, wie sich verschiedene Stufen interaktiver XAI von White- und Black-Box-KI-Systemen auf die Wahrnehmung der Endnutzer auswirken. Basierend auf einem interdisziplinären Konzept, das in dieser Arbeit vorgestellt wird, wird untersucht, wie der Inhalt, die Art und die Schnittstelle von Erklärungen von DNN (Black-Box) und regelbasierten Systemen (White-Box) von Endnutzern wahrgenommen werden. Wie XAI die mentalen Modelle, das Vertrauen, die Selbstwirksamkeit, die kognitive Belastung und den emotionalen Zustand der Endnutzer in Bezug auf das KI-System beeinflusst, steht im Mittelpunkt der Untersuchung. Zu Beginn der Arbeit werden allgemeine Konzepte zu KI, Erklärungen und psychologische Konstrukte von mentalen Modellen, Vertrauen, Selbstwirksamkeit, kognitiver Belastung und Emotionen vorgestellt. Anschließend werden verwandte Arbeiten bezüglich dem Design und der Untersuchung von XAI für Nutzer präsentiert. Diese dienen als Grundlage für das in dieser Dissertation vorgestellte Konzept einer Menschzentrierten Erklärbaren KI (engl. HC-XAI), das einen XAI-Designansatz mit Nutzerevaluationen kombiniert. Die Autorin verfolgt einen interdisziplinären Ansatz, der Wissen aus den Forschungsbereichen (X)AI, Mensch-Computer-Interaktion und Psychologie integriert. Auf der Grundlage dieses interdisziplinären Konzepts wird ein fünfstufiger Ansatz abgeleitet und im empirischen Teil dieser Arbeit auf exemplarische Umfragen und Experimente und angewendet. Zur Veranschaulichung der ersten beiden Schritte wird ein Persona-Ansatz für HC-XAI vorgestellt und darauf aufbauend eine Vorlage für den Entwurf von Personas bereitgestellt. Um die Verwendung der Vorlage zu veranschaulichen, werden drei Umfragen präsentiert, in denen Endnutzer zu ihren Einstellungen und Erwartungen gegenüber KI und XAI befragt werden. Die aus den Umfragedaten generierten Personas zeigen, dass es den Endnutzern oft an Wissen über XAI mangelt und dass ihre Wahrnehmung dessen von demografischen und persönlichkeitsbezogenen Merkmalen abhängt. Die Schritte drei bis fünf befassen sich mit der Gestaltung von XAI für konkrete Anwendungen. Hierzu werden verschiedene Stufen interaktiver XAI vorgestellt und in Experimenten mit Endanwendern untersucht. Zu diesem Zweck werden zwei regelbasierte Systeme (White-Box) und vier auf DNN basierende Systeme (Black-Box) verwendet. Diese werden für drei Zwecke eingesetzt: Kooperation & Kollaboration, Bildung und medizinische Entscheidungsunterstützung. Hierzu wurden sechs Nutzerstudien durchgeführt, die sich in der Interaktivität des verwendeten XAI-Systems unterschieden. Die Ergebnisse zeigen, dass das Vertrauen und die mentalen Modelle der Endnutzer in KI stark vom Nutzungskontext und der Gestaltung der Erklärung selbst abhängen. Es hat sich beispielsweise gezeigt, dass Erklärungen, die von einem virtuellen Agenten vermittelt werden, das Vertrauen fördern. Auch der Inhalt und die Art der Erklärungen werden von den Nutzern unterschiedlich wahrgenommen. Die Studien zeigen zudem, dass Endnutzer in unterschiedlichen Anwendungskontexten von XAI den Wunsch nach interaktiven Erklärungen verspüren. Die Dissertation schließt mit einer Zusammenfassung des wissenschaftlichen Beitrags, weist auf Grenzen der vorgestellten Arbeit hin und gibt einen Ausblick auf mögliche zukünftige Forschungsthemen, um Erklärungen in alltägliche KI-Systeme zu integrieren und damit den verständlichen Umgang mit KI für alle Menschen zu ermöglichen