CHORUS Deliverable 2.2: Second report - identification of multi-disciplinary key issues for gap analysis toward EU multimedia search engines roadmap

After addressing the state-of-the-art during the first year of Chorus and establishing the existing landscape in multimedia search engines, we have identified and analyzed gaps within European research effort during our second year. In this period we focused on three directions, notably technological issues, user-centred issues and use-cases and socio- economic and legal aspects. These were assessed by two central studies: firstly, a concerted vision of functional breakdown of generic multimedia search engine, and secondly, a representative use-cases descriptions with the related discussion on requirement for technological challenges. Both studies have been carried out in cooperation and consultation with the community at large through EC concertation meetings (multimedia search engines cluster), several meetings with our Think-Tank, presentations in international conferences, and surveys addressed to EU projects coordinators as well as National initiatives coordinators. Based on the obtained feedback we identified two types of gaps, namely core technological gaps that involve research challenges, and “enablers”, which are not necessarily technical research challenges, but have impact on innovation progress. New socio-economic trends are presented as well as emerging legal challenges

Web Data Extraction, Applications and Techniques: A Survey

Web Data Extraction is an important problem that has been studied by means of different scientific tools and in a broad range of applications. Many approaches to extracting data from the Web have been designed to solve specific problems and operate in ad-hoc domains. Other approaches, instead, heavily reuse techniques and algorithms developed in the field of Information Extraction. This survey aims at providing a structured and comprehensive overview of the literature in the field of Web Data Extraction. We provided a simple classification framework in which existing Web Data Extraction applications are grouped into two main classes, namely applications at the Enterprise level and at the Social Web level. At the Enterprise level, Web Data Extraction techniques emerge as a key tool to perform data analysis in Business and Competitive Intelligence systems as well as for business process re-engineering. At the Social Web level, Web Data Extraction techniques allow to gather a large amount of structured data continuously generated and disseminated by Web 2.0, Social Media and Online Social Network users and this offers unprecedented opportunities to analyze human behavior at a very large scale. We discuss also the potential of cross-fertilization, i.e., on the possibility of re-using Web Data Extraction techniques originally designed to work in a given domain, in other domains.Comment: Knowledge-based System

Digital inclusion - the vision, the challenges and the way forward

This paper considers the vision and aspiration of digital inclusion, and then examines the current reality. It looks beyond the rhetoric to provide an analysis of the status quo, a consideration of some facilitators and challenges to progress and some suggestions for moving forward with renewed energy and commitment. The far-reaching benefits of digital inclusion and the crucial role it plays in enabling full participation in our digital society are considered. At the heart of the vision of universal digital inclusion is the deceptively simple goal to ensure that everyone is able to access and experience the wide-ranging benefits and transformational opportunities and impacts it offers. The reality is a long way from the vision: inequality of access still exists despite many national campaigns and initiatives to reduce it. The benefits and beneficiaries of a digital society are not just the individual but all stakeholders in the wider society. Research evidence has shown that the critical success factors for successful digital participation are (i) appropriate design and (ii) readily available and on-going ICT (Information and Communication Technology) support in the community. Challenges and proven solutions are presented. The proposition of community hubs in local venues to provide user-centred ICT support and learning for older and disabled people is presented. While the challenges to achieve digital inclusion are very considerable, the knowledge of how to achieve it and the technologies which enable it already exist. Harnessing of political will is necessary to make digital inclusion a reality rather than a vision. With the cooperation and commitment of all stakeholders actualisation of the vision of a digitally inclusive society, while challenging, can be achieved and will yield opportunities and rewards that eclipse the cost of implementation

Automatic detection of accommodation steps as an indicator of knowledge maturing

Jointly working on shared digital artifacts – such as wikis – is a well-tried method of developing knowledge collectively within a group or organization. Our assumption is that such knowledge maturing is an accommodation process that can be measured by taking the writing process itself into account. This paper describes the development of a tool that detects accommodation automatically with the help of machine learning algorithms. We applied a software framework for task detection to the automatic identification of accommodation processes within a wiki. To set up the learning algorithms and test its performance, we conducted an empirical study, in which participants had to contribute to a wiki and, at the same time, identify their own tasks. Two domain experts evaluated the participants’ micro-tasks with regard to accommodation. We then applied an ontology-based task detection approach that identified accommodation with a rate of 79.12%. The potential use of our tool for measuring knowledge maturing online is discussed

How Could MOOCs Become Accessible? The Case of edX and the Future of Inclusive Online Learning

Massive Open Online Courses (MOOCs) have great potential to provide learning opportunities for people around the world. However, to reach their full potential, MOOCs need to meet the accessibility needs of diverse learners, with and without disabilities. In the literature review, we have found some published research on accessibility evaluations of MOOCs content and platforms, but we have not found published research on how to design existing and future MOOC platforms to assist authors in producing accessible content. The main purpose of this research is to contribute to the discussion about the future of inclusive online learning, by proposing a software design to incorporate features in MOOC platforms to enable, support and guide authors toward conceptualizing, designing, building and testing accessible MOOCs. We also present the results of an evaluation of the accessibility issues of Studio, the edX course-authoring software, based on ATAG 2.0.This work has been partially supported by the Prometeo Project by SENESCYT, Ecuadorian Government

Contributions to Web Accessibility: Device-tailored Evaluation, User-tailored Interface Generation and the Interplay with User Experience

149 p.AbstractThe Web has an incredible importance in our modern society and for many people it has become a fundamental part of their lives. It enables us to Access a huge amount of information, and use a wide range of services related to diverse areas of our daily activities, which has the potential of making our lives easier. Its ubiquitous nature and advances in mobile devices have led to the possibility of accessing the Web any time and from anywhere. This has numerous and obvious advantages, but at the same time it poses challenges related to the Universal Design (UD), as websites need to adapt to the existing diversity of users, devices and interaction contexts. For instance, to ensure the accessibility of a website, in addition to the human diversity, the features of the existing computing devices with access to the Internet, as well as features of the environment where the interaction will occur have to be considered. Similarly, this information can be used when checking the accessibility of websites, so that evaluations are closer to what users are really experiencing when accessing the websites.In this thesis a device tailored web accessibility evaluation framework and an automated web-based user tailored interface generator are presented. The evaluation framework deals with device specific information. Empiricaldata showed that more accurate and reliable accessibility reports are obtained in comparison to performing evaluations that do not consider device specific information. The interface generator takes into consideration information about users and their interaction context, in order to adapt web based user interfaces. From the conducted case study it was concluded that the automatically generated user tailored user interfaces were fully operable.These two tools can be of great help for web developers to create and maintain accessible content for a wide range of users and interaction contexts. Accessible and adapted user interfaces do not necessarily provide users with an enhanced experience though. With the aim of investigating how accessible user interfaces influence the experience of users and understanding if accessibility is related to a better user experience, a user testing was conducted. In order to investigate this relationship, data from 11 participants was elicited about their subjective accessibility perceptions and their user experience with four websites with different levels of accessibility. Results showed that participants¿ user experience and their perceived web accessibility are closely related. In addition, web accessibility is correlated to three attributes (typical - original, conservative - innovative, lame - exciting) of the hedonic quality stimulation dimension of the user experience. These findings provide the web community with additional knowledge about the interactions between the user experience and web accessibility. LaburpenaWeb-ak izugarrizko garrantzia dauka gure gaur egungo gizartean, eta persona askorentzat beraien bizitzan funtsezkoa bihurtu da. Web-ak informazio kantitate handirako atzipena eta eguneroko ekintzekin erlazionatutako zerbitzu anitz erabiltzea ahalbidetzen du, beraz gure bizitza errazteko ahalmena dauka. Bere nonahiko izaerak eta gailu mugikorretan gertatu diren aurrerakuntzek,Web-a edozein momentutan eta edozein lekuan atzitzeko aukera eragin dute. Honek abantai anitz ditu, baina aldi berean Diseinu Unibertsalarekin zerikusia duten erronkak sortzen ditu. Adibidez, webgune baten irisgarritasuna ziurtatzeko, pertsonen aniztasunaz gain, Interneterako atzipena duten dispositiboen eta elkarrekintza gertatzen den inguruaren ezaugarriak hartu behar dira kontuan. Informazio hori ere erabili daiteke web guneen irisgarritasuna ebaluatzeko, era honetan ebaluazioek, erabiltzaileak web gunea atzitzerakoan duten esperientzarekin antza gehiago izango dute.Tesi honetan, web irisgarritasuna dispositibo mugikorren arabera ebaluatzen duen tresna bat eta erabiltzailei egokitzen diren Web-ean oinarritutako interfazeak automatikoki sortzen dituen sistema bat aurkezten dira. Ebaluazio tresnak dispositibo mugikorren ezaugarrien informazio espezifikoa erabiltzen du. Datu enpirikoen arabera, irisgarritasun ebaluazio txostenak zehatzagoak eta fidagarriagoak dira dispositibo mugikorren inguruko informazio espezifikoa erabiltzen bada irisgarritasun ebaluazioetan. Interfazeak sortzen dituen sistemak, erabiltzaileen eta elkarrekintza gertatzen den inguruneko informazioa erabiltzen du. Burututako ikerketa kasu baten emaitzen arabera, sistemak sortutako erabiltzaileei egokitutako interfazeak guztiz funtzionalak zirela ondorioztatu zen.Bi tresna hauek, eduki irisgarria mantentzeko eta sortzeko oso lagungarriak izan daitezke web garaitzaileentzat. Batez ere erabiltzaile anitz eta elkarrekintza ingurune desberdin ugari existitzen direla kontuan izanda. Interface irisgarri eta egokituek ordea, ez dute beti erabiltzaileen esperientzia hobetzen. Interfaze irisgarriek erabiltzaileen esperientzian duen eragina ikertzeko, eta ea irisgarritasuna erabiltzaileen esperientziaren hobekuntzarekin erlazionatuta dagoen ulertzeko, erabiltzaile proba bat burutu zen. Hamaika erabiltzaileen irisgarritasun pertzepzioa eta erabiltzaile esperentzia aztertu ziren lau web gune ezberdinen inguruan, gune bakoitzak irisgarritasun maila ezberdin bat zuelarik. Emaitzen arabera, erabiltzaileen esperientzia eta irisgarritasun pertzepzioa oso lotuta daude. Gainera web irisgarritasuna, erabiltzaile esperientziaren hiru atributuekin (antigoaleko - original, atzerakoi - berritzaile, aspergarri - interesgarri) erlazionatuta dagoela ikusi zen. Emaitza hauek, web irisgarritasunaren eta erabiltzaile esperientziaren arteko erlazioari buruzko ezagutza gehitzen du web komunitatera. ResumenLa Web tiene una importancia increíble en nuestra sociedad moderna, y para muchas personas se ha convertido en una parte fundamental de sus vidas. Nos posibilita el acceso a una gran cantidad de información, y el uso de un gran abanico de servicios relacionados con diversas áreas de nuestras actividades diarias, lo que tiene el potencial de hacernos la vida más fácil. Su naturaleza ubicua y los avances en los dispositivos móviles han posibilitado el acceso a la Web en cualquier momento y desde cualquier sitio. Esto tiene numerosas y obvias ventajas, pero a su vez plantea retos en relación al Diseño Universal, debido a que los sitios web tienen que estar adaptados a diversos dispositivos y contextos de interacción. Para asegurar la accesibilidad de un sitio web, además de la diversidad humana, hay que tener en cuenta también las características de los dispositivos con acceso a Internet, incluso las del entorno donde ocurre la interacción. De forma similar, esa información se puede usar al evaluar la accesibilidad de los sitios web, de manera que las evaluaciones estén más cerca de lo que los usuarios experimentan al acceder a un sitio web.En esta tesis se presenta una herramienta para evaluar la accesibilidad web a medida de los dispositivos móviles, y un sistema para la generación automática de interfaces web adaptadas al usuario. La herramienta de evaluación automática maneja información específica de dispositivos móviles. Los datos empíricos demuestran que se obtienen informes más precisos y fiables en comparación a realizar evaluaciones donde no se tiene en cuenta información específica de los dispositivos. El sistema generador de interfaces maneja información relativa a los usuarios y su contexto de interacción. Mediante el caso de estudio llevado a cabo, se concluyó que las interfaces generadas automáticamente adaptadas a los usuarios eran completamente operables.Éstas dos herramientas pueden ser de gran ayuda para los desarrolladores web para la creación y mantenimiento del contenido accesible teniendo en cuenta un amplio rango de usuarios y contextos de interacción. Sin embargo, las interfaces accesibles y adaptadas no necesariamente proporcionan una experiencia de usuario mejorada. Con el objetivo de investigar como influyen las interfaces accesibles en la experiencia de los usuarios, y entender si la accesibilidad esta relacionada con una mejora en la experiencia de usuario, se realizó una prueba de usuario. Para investigar esta relación, se analizaron datos de los 11 participantes sobre sus percepciones de accesibilidad y su experiencia de usuario con cuatro sitios web con diferentes niveles de accesibilidad. Los resultados demuestran que la experiencia de usuario y la accesibilidad percibida de los participantes están estrechamente relacionadas. Además, la accesibilidad web está correlacionada con tres atributos (típica - original, conservadora - innovadora, aburrida - interesante) de la cualidad hedónica de la experiencia de usuario. Estos resultados aportan a la comunidad web conocimiento adicional sobre la interacción entre la experiencia de usuario y la accesibilidad web

Hybrid human-AI driven open personalized education

Attaining those skills that match labor market demand is getting increasingly complicated as prerequisite knowledge, skills, and abilities are evolving dynamically through an uncontrollable and seemingly unpredictable process. Furthermore, people's interests in gaining knowledge pertaining to their personal life (e.g., hobbies and life-hacks) are also increasing dramatically in recent decades. In this situation, anticipating and addressing the learning needs are fundamental challenges to twenty-first century education. The need for such technologies has escalated due to the COVID-19 pandemic, where online education became a key player in all types of training programs. The burgeoning availability of data, not only on the demand side but also on the supply side (in the form of open/free educational resources) coupled with smart technologies, may provide a fertile ground for addressing this challenge. Therefore, this thesis aims to contribute to the literature about the utilization of (open and free-online) educational resources toward goal-driven personalized informal learning, by developing a novel Human-AI based system, called eDoer. In this thesis, we discuss all the new knowledge that was created in order to complete the system development, which includes 1) prototype development and qualitative user validation, 2) decomposing the preliminary requirements into meaningful components, 3) implementation and validation of each component, and 4) a final requirement analysis followed by combining the implemented components in order develop and validate the planned system (eDoer). All in all, our proposed system 1) derives the skill requirements for a wide range of occupations (as skills and jobs are typical goals in informal learning) through an analysis of online job vacancy announcements, 2) decomposes skills into learning topics, 3) collects a variety of open/free online educational resources that address those topics, 4) checks the quality of those resources and topic relevance using our developed intelligent prediction models, 5) helps learners to set their learning goals, 6) recommends personalized learning pathways and learning content based on individual learning goals, and 7) provides assessment services for learners to monitor their progress towards their desired learning objectives. Accordingly, we created a learning dashboard focusing on three Data Science related jobs and conducted an initial validation of eDoer through a randomized experiment. Controlling for the effects of prior knowledge as assessed by the pretest, the randomized experiment provided tentative support for the hypothesis that learners who engaged with personal eDoer recommendations attain higher scores on the posttest than those who did not. The hypothesis that learners who received personalized content in terms of format, length, level of detail, and content type, would achieve higher scores than those receiving non-personalized content was not supported as a statistically significant result

Some Research Questions and Results of UC3M in the E-Madrid Excellence Network

32 slides.-- Contributed to: 2010 IEEE Global Engineering Education Conference (EDUCON), Madrid, Spain, 14-16 April, 2010.-- Presented by C. Delgado Kloos.Proceedings of: 2010 IEEE Global Engineering Education Conference (EDUCON), Madrid, Spain, 14-16 April, 2010Universidad Carlos III de Madrid is one of the six main participating institutions in the eMadrid excellence network, as well as its coordinating partner. In this paper, the network is presented together with some of the main research lines carried out by UC3M. The remaining papers in this session present the work carried out by the other five universities in the consortium.The Excellence Network eMadrid, “Investigación y Desarrollo de Tecnologías para el e-Learning en la Comunidad de Madrid” is being funded by the Madrid Regional Government under grant No. S2009/TIC-1650. In addition, we acknowledge funding from the following research projects: iCoper: “Interoperable Content for Performance in a Competency-driven Society” (eContentPlus Best Practice Network No. ECP-2007-EDU-417007), Learn3: Hacia el Aprendizaje en la 3ª Fase (“Plan Nacional de I+D+I” TIN2008-05163/ TSI), Flexo: “Desarrollo de aprendizaje adaptativo y accesible en sistemas de código abierto” (AVANZA I+D, TSI-020301- 2008-19), España Virtual (CDTI, Ingenio 2010, CENIT, Deimos Space), SOLITE (CYTED 508AC0341), and “Integración vertical de servicios telemáticos de apoyo al aprendizaje en entornos residenciales” (Programa de creación y consolidación de grupos de investigación de la Universidad Carlos III de Madrid).Publicad

The future of social is personal: the potential of the personal data store

This chapter argues that technical architectures that facilitate the longitudinal, decentralised and individual-centric personal collection and curation of data will be an important, but partial, response to the pressing problem of the autonomy of the data subject, and the asymmetry of power between the subject and large scale service providers/data consumers. Towards framing the scope and role of such Personal Data Stores (PDSes), the legalistic notion of personal data is examined, and it is argued that a more inclusive, intuitive notion expresses more accurately what individuals require in order to preserve their autonomy in a data-driven world of large aggregators. Six challenges towards realising the PDS vision are set out: the requirement to store data for long periods; the difficulties of managing data for individuals; the need to reconsider the regulatory basis for third-party access to data; the need to comply with international data handling standards; the need to integrate privacy-enhancing technologies; and the need to future-proof data gathering against the evolution of social norms. The open experimental PDS platform INDX is introduced and described, as a means of beginning to address at least some of these six challenges