Modeling the user knowledge by belief networks

This paper describes the user modeling component of EPIAIM, a consultation system for data analysis in epidemiology. The component is aimed at representing knowledge of concepts in the domain, so that their explanations can be adapted to user needs. The first part of the paper describes two studies aimed at analysing user requirements. The first one is a questionnaire study which examines the respondents' familiarity with concepts. The second one is an analysis of concept descriptions in textbooks and from expert epidemiologists, which examines how discourse strategies are tailored to the level of experience of the expected audience. The second part of the paper describes how the results of these studies have been used to design the user modeling component of EPIAIM. This module works in a two-step approach. In the first step, a few trigger questions allow the activation of a stereotype that includes a "body" and an "inference component". The body is the representation of the body of knowledge that a class of users is expected to know, along with the probability that the knowledge is known. In the inference component, the learning process of concepts is represented as a belief network. Hence, in the second step the belief network is used to refine the initial default information in the stereotype's body. This is done by asking a few questions on those concepts where it is uncertain whether or not they are known to the user, and propagating this new evidence to revise the whole situation. The system has been implemented on a workstation under UNIX. An example of functioning is presented, and advantages and limitations of the approach are discussed.

Enhancing Evacuation Plans with a Situation Awareness System Based on End-User Knowledge Provision.

Recent disasters have shown that having clearly defined preventive procedures and decisions is a critical component that minimizes evacuation hazards and ensures a rapid and successful evolution of evacuation plans. In this context, we present our Situation-Aware System for enhancing Evacuation Plans (SASEP) system, which allows creating end-user business rules that technically support the specific events, conditions and actions related to evacuation plans. An experimental validation was carried out where 32 people faced a simulated emergency situation, 16 of them using SASEP and the other 16 using a legacy system based on static signs. From the results obtained, we compare both techniques and discuss in which situations SASEP offers a better evacuation route option, confirming that it is highly valuable when there is a threat in the evacuation route. In addition, a study about user satisfaction using both systems is presented showing in which cases the systems are assessed as satisfactory, relevant and not frustrating.

Consultation on Personal and Public Involvement strategy

Personal and Public Involvement (PPI) is an integral element of effective commissioning and is underpinned by a core set of values and principles - involving and listening to people in order to help us make services better.It brings about a number of recognised benefits if fully embraced into our culture and practice, these include:Use of service user knowledge and expertise;Better priority setting and decision making;More responsive, appropriate, efficient and tailored services;Transformation and reduction of complaints;Increased levels of service satisfaction;Increased dignity and self worth.The Public Health Agency (PHA) and Health and Social Care Board (HSCB) have now developed a joint Personal and Public Involvement (PPI) Strategy after extensive engagement and discussion. The Strategy has been approved by both organisations and is now being formally consulted on during the period 23rd June 2011 to 15th September 2011.The Strategy is now available for your consideration. We have developed the following documents (please see attachments below):Valuing People, Valuing Their Participation. Involving You and Listening to You Consultation Document.Valuing People, Valuing Their Participation, Involving You and Listening to You. [An Easy Read version of the Personal and Public Involvement Strategy].Valuing People, Valuing Their Participation. [An Equality and Human Rights Screening of the Strategy].Key Questions to guide consideration of the Personal and Public Involvement Strategy.People are encouraged to read the Strategy and to let us have your views.� There is a set of Key Questions, but any comments, ideas and or suggestions that you may have, that could support us in our efforts to embed Personal and Public Involvement into our culture and practice, would be most welcome.Responses should be returned by 4.00pm on Thursday 15th September 2011 to:By post:Martin QuinnRegional PPI LeadPublic Health AgencyGransha Park House15 Gransha ParkLondonderryBT47 6FNBy email: siobhan.carlin@hscni.net By telephone: (028) 7186 0086A more detailed version of the consultation document is avalable by clicking here or contacting Siobhan Carlin, email: siobhan.carlin@hscni.net, Tel: (028) 7186 0086.If you require any of these documents in an alternative format such as Braille, larger print or in another language if you are not fluent in English, please do not hesitate to contact us.A report of feedback received as part of this consultation can be made available upon request.Please be aware that the PHA and HSCB are also currently consulting on the Community Development Strategy.You are invited to consider responding to this consultation as well if appropriate.

Palveluprosessien kehittäminen asiakaslähtöisestä näkökulmasta

Tässä pro gradu -tutkielmassa tarkastellaan palveluprosessien kehittämistä asiakaslähtöisestä näkökulmasta. Asiakas on osa palveluprosessia ja siksi onkin tärkeä osallistaa asiakasta prosessien kehittämiseen ja innovointiin. Teoriaosassa esitellään keskeisimmät palveluprosessien kehitykseen vaikuttavat elementit ja pureudutaan käyttäjien sekä asiakkaiden rooliin ja motivaatioon kehittämishankkeissa. Tutkimuksen empiirinen osuus on toteutettu kvalitatiivisena tutkimuksena. Tutkimuksen menetelmänä käytettiin toimintatutkimusta. Tutkimustulosten voidaan todeta tukevan teoreettista viitekehystä. Tutkimuksen perusteella havaittiin, että käyttäjillä ja asiakkailla on paljon ns. hiljaista tietoa, jonka esiin saaminen vaatii interventiota, puuttumista. Henkilökohtainen keskustelu on hyvä keino saada selville asiakkaiden mielipiteitä ja odotuksia palvelua kohtaan. Tutkimukseen osallistuneiden asiakkaiden palautteen perusteella myöskin voidaan todeta, että asiakkaiden motivaatio osallistua kehittämiseen vastaa teoriaosuudessa esitettyjä perusteluja.

J-Quizmaker

Lehrvideos erfreuen sich dank aktueller Entwicklungen im Bereich der Online-Lehre (Videoplattformen, MOOCs) auf der einen Seite und einer riesigen Auswahl sowie einer einfachen Produktion und Distribution auf der anderen Seite großer Beliebtheit bei der Wissensvermittlung. Trotzdem bringen Videos einen entscheidenden Nachteil mit sich, welcher in der Natur des Datenformats liegt. So sind die Suche nach konkreten Sachverhalten in einem Video sowie die semantische Aufbereitung zur automatisierten Verknüpfung mit weiteren spezifischen Inhalten mit hohem Aufwand verbunden. Daher werden die lernerfolg-orientierte Selektion von Lehrsegmenten und ihr Arrangement zur auf Lernprozesse abgestimmten Steuerung gehemmt. Beim Betrachten des Videos werden unter Umständen bereits bekannte Sachverhalte wiederholt bzw. können nur durch aufwendiges manuelles Spulen übersprungen werden. Selbiges Problem besteht auch bei der gezielten Wiederholung von Videoabschnitten. Als Lösung dieses Problems wird eine Webapplikation vorgestellt, welche die semantische Aufbereitung von Videos hin zu adaptiven Lehrinhalten ermöglicht: mittels Integration von Selbsttestaufgaben mit definierten Folgeaktionen können auf Basis des aktuellen Nutzerwissens Videoabschnitte automatisiert übersprungen oder wiederholt und externe Inhalte verlinkt werden. Der präsentierte Ansatz basiert somit auf einer Erweiterung der behavioristischen Lerntheorie der Verzweigten Lehrprogramme nach Crowder, die auf den Lernverlauf angepasste Sequenzen von Lerneinheiten beinhaltet. Gleichzeitig werden mittels regelmäßig eingeschobener Selbsttestaufgaben Motivation sowie Aufmerksamkeit des Lernenden nach Regeln der Programmierten Unterweisung nach Skinner und Verstärkungstheorie gefördert. Durch explizite Auszeichnung zusammengehöriger Abschnitte in Videos können zusätzlich die enthaltenden Informationen maschinenlesbar gestaltet werden, sodass weitere Möglichkeiten zum Auffinden und Verknüpfen von Lerninhalten geschaffen werden.

Evaluating choices:the role of corpora in translation choices and target text assessment

Translation training in the university context needs to train students in the processes, in order to enhance and optimise the product as outcome of these processes. Evaluation of a target text as product has often been accused of being a subjective process, which does not easily lend itself to the type of feedback that could enable students to apply criteria more widely. For students, it often seems as though they make different inappropriate or incorrect choices every time they translate a new text, and the learning process appears unpredictable and haphazard. Within functionalist approaches to translation, with their focus on the target text in terms of functional adequacy to the intended purpose, as stipulated in the translation brief, there are guidelines for text production that can help to develop a more systematic approach not only to text production, but also to translation evaluation. In the context of a focus on user knowledge needs, target language conventions and acceptability, the use of corpora is an indispensable tool for the trainee translator. Evaluation can take place against the student's own reasoned selection process, based on hard evidence, against criteria which currently obtain in the TL and the TL culture. When trainee and evaluator work within the same guidelines, there is more scope for constructive learning and feedback.

Collection-Level Subject Access in Aggregations of Digital Collections: Metadata Application and Use

Problems in subject access to information organization systems have been under investigation for a long time. Focusing on item-level information discovery and access, researchers have identified a range of subject access problems, including quality and application of metadata, as well as the complexity of user knowledge required for successful subject exploration. While aggregations of digital collections built in the United States and abroad generate collection-level metadata of various levels of granularity and richness, no research has yet focused on the role of collection-level metadata in user interaction with these aggregations. This dissertation research sought to bridge this gap by answering the question “How does collection-level metadata mediate scholarly subject access to aggregated digital collections?” This goal was achieved using three research methods: • in-depth comparative content analysis of collection-level metadata in three large-scale aggregations of cultural heritage digital collections: Opening History, American Memory, and The European Library • transaction log analysis of user interactions, with Opening History, and • interview and observation data on academic historians interacting with two aggregations: Opening History and American Memory. It was found that subject-based resource discovery is significantly influenced by collection-level metadata richness. The richness includes such components as: 1) describing collection’s subject matter with mutually-complementary values in different metadata fields, and 2) a variety of collection properties/characteristics encoded in the free-text Description field, including types and genres of objects in a digital collection, as well as topical, geographic and temporal coverage are the most consistently represented collection characteristics in free-text Description fields. Analysis of user interactions with aggregations of digital collections yields a number of interesting findings. Item-level user interactions were found to occur more often than collection-level interactions. Collection browse is initiated more often than search, while subject browse (topical and geographic) is used most often. Majority of collection search queries fall within FRBR Group 3 categories: object, concept, and place. Significantly more object, concept, and corporate body searches and less individual person, event and class of persons searches were observed in collection searches than in item searches. While collection search is most often satisfied by Description and/or Subjects collection metadata fields, it would not retrieve a significant proportion of collection records without controlled-vocabulary subject metadata (Temporal Coverage, Geographic Coverage, Subjects, and Objects), and free-text metadata (the Description field). Observation data shows that collection metadata records in Opening History and American Memory aggregations are often viewed. Transaction log data show a high level of engagement with collection metadata records in Opening History, with the total page views for collections more than 4 times greater than item page views. Scholars observed viewing collection records valued descriptive information on provenance, collection size, types of objects, subjects, geographic coverage, and temporal coverage information. They also considered the structured display of collection metadata in Opening History more useful than the alternative approach taken by other aggregations, such as American Memory, which displays only the free-text Description field to the end-user. The results extend the understanding of the value of collection-level subject metadata, particularly free-text metadata, for the scholarly users of aggregations of digital collections. The analysis of the collection metadata created by three large-scale aggregations provides a better understanding of collection-level metadata application patterns and suggests best practices. This dissertation is also the first empirical research contribution to test the FRBR model as a conceptual and analytic framework for studying collection-level subject access.

User friendly knowledge acquisition system for medical devices actuation

Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica

User Profiling and Knowledge Extraction For Tourism

O sector do turismo é uma área francamente em crescimento em Portugal e que tem desenvolvido a sua divulgação e estratégia de marketing. Contudo, apenas se prende com indicadores de desempenho e de oferta instalada (número de quartos, hotéis, voos, estadias), deixando os indicadores estatísticos em segundo plano. De acordo com o “ Travel & tourism Competitiveness Report 2013”, do World Economic Forum, classifica Portugal em 72º lugar no que respeita à qualidade e cobertura da informação estatística, disponível para o sector do Turismo. Refira-se que Espanha ocupa o 3º lugar. Uma estratégia de mercado, sem base analítica, que sustente um quadro de orientações específico e objetivo, com relevante conhecimento dos mercados alvo, dificilmente é compreensível ou até mesmo materializável. A implementação de uma estrutura de Business Intelligence que permita a realização de um levantamento e tratamento de dados que possibilite relacionar e sustentar os resultados obtidos no sector do turismo revela-se fundamental e crucial, para que sejam criadas estratégias de mercado. Essas estratégias são realizadas a partir da informação dos turistas que nos visitam, e dos potenciais turistas, para que possam ser cativados no futuro. A análise das características e dos padrões comportamentais dos turistas permite definir perfis distintos e assim detetar as tendências de mercado, de forma a promover a oferta dos produtos e serviços mais adequados. O conhecimento obtido permite, por um lado criar e disponibilizar os produtos mais atrativos para oferecer aos turistas e por outro informá-los, de uma forma direcionada, da existência desses produtos. Assim, a associação de uma recomendação personalizada que, com base no conhecimento de perfis do turista proceda ao aconselhamento dos melhores produtos, revela-se como uma ferramenta essencial na captação e expansão de mercado.

Case-based analysis in user requirements modelling for knowledge construction

Context: Learning can be regarded as knowledge construction in which prior knowledge and experience serve as basis for the learners to expand their knowledge base. Such a process of knowledge construction has to take place continuously in order to enhance the learners’ competence in a competitive working environment. As the information consumers, the individual users demand personalised information provision which meets their own specific purposes, goals, and expectations. Objectives: The current methods in requirements engineering are capable of modelling the common user’s behaviour in the domain of knowledge construction. The users’ requirements can be represented as a case in the defined structure which can be reasoned to enable the requirements analysis. Such analysis needs to be enhanced so that personalised information provision can be tackled and modelled. However, there is a lack of suitable modelling methods to achieve this end. This paper presents a new ontological method for capturing individual user’s requirements and transforming the requirements onto personalised information provision specifications. Hence the right information can be provided to the right user for the right purpose. Method: An experiment was conducted based on the qualitative method. A medium size of group of users participated to validate the method and its techniques, i.e. articulates, maps, configures, and learning content. The results were used as the feedback for the improvement. Result: The research work has produced an ontology model with a set of techniques which support the functions for profiling user’s requirements, reasoning requirements patterns, generating workflow from norms, and formulating information provision specifications. Conclusion: The current requirements engineering approaches provide the methodical capability for developing solutions. Our research outcome, i.e. the ontology model with the techniques, can further enhance the RE approaches for modelling the individual user’s needs and discovering the user’s requirements.

Use of audiovisual messages from land user to land user for sharing knowledge about SLM: experiences from a pilot project in Kenya and Tajikistan

The global World Overview of Conservation Approaches and Technologies (WOCAT) initiative has developed standardised tools and methods to compile and evaluate knowledge available about SLM. This knowledge is now combined and enriched with audiovisual information in order to give a voice to land users, reach a broad range of stakeholders, and assist in scaling up SLM to reverse trends of degradation, desertification, and drought. Five video products, adapted to the needs of different target groups, are created and embedded in already existing platforms for knowledge sharing of SLM such as the WOCAT database and Google Earth application. A pilot project was carried out in Kenya and Tajikistan to verify ideas and tools while at the same time assessing the usefulness of the suggested products on the ground. Video has the potential to bridge the gap between different actor groups and enable communication and sharing on different levels and scales: locally, regionally, and globally. Furthermore, it is an innovative tool to link local and scientific knowledge, raise awareness, and support advocacy for SLM. Keywords: Sustainable Land Management (SLM), knowledge sharing, audiovisual messages, video, World Overview of Conservation Approaches and Technologies (WOCAT)

A New End-User Composition Model to Empower Knowledge Workers to Develop Rich Internet Applications

Enabling real end-user programming development is the next logical stage in the evolution of Internetwide service-based applications. Even so, the vision of end users programming their own web-based solutions has not yet materialized. This will continue to be so unless both industry and the research community rise to the ambitious challenge of devising an end-to-end compositional model for developing a new age of end-user web application development tools. This paper describes a new composition model designed to empower programming-illiterate end users to create and share their own off-the-shelf rich Internet applications in a fully visual fashion. This paper presents the main insights and outcomes of our research and development efforts as part of a number of successful European Union research projects. A framework implementing this model was developed as part of the European Seventh Framework Programme FAST Project and the Spanish EzWeb Project and allowed us to validate the rationale behind our approach.

User-centred ontology learning for knowledge management

Automatic ontology building is a vital issue in many fields where they are currently built manually. This paper presents a user-centred methodology for ontology construction based on the use of Machine Learning and Natural Language Processing. In our approach, the user selects a corpus of texts and sketches a preliminary ontology (or selects an existing one) for a domain with a preliminary vocabulary associated to the elements in the ontology (lexicalisations). Examples of sentences involving such lexicalisation (e.g. ISA relation) in the corpus are automatically retrieved by the system. Retrieved examples are validated by the user and used by an adaptive Information Extraction system to generate patterns that discover other lexicalisations of the same objects in the ontology, possibly identifying new concepts or relations. New instances are added to the existing ontology or used to tune it. This process is repeated until a satisfactory ontology is obtained. The methodology largely automates the ontology construction process and the output is an ontology with an associated trained leaner to be used for further ontology modifications.

Building user commitment to implementing a knowledge management strategy

In the IS literature, commitment is typically considered to involve organizational or managerial support for a system and not that of its users. This paper however reports on a field study involving 16 organizations that attempted to build user involvement in developing a knowledge management strategy by having them design it. Twenty-two IT-supported group workshops (involving 183 users) were run to develop action plans for better knowledge management that users would like to see implemented. Each workshop adopted the same problem structuring technique to assist group members develop a politically feasible action plan to which they were psychologically and emotionally dedicated. In addition to reviewing the problem structuring method, this paper provides qualitative insight into the factors a knowledge management strategy should have to encourage user commitment. © 2004 Elsevier B.V. All rights reserved.

User interface design support for the development of knowledge-based systems

The present scarcity of operational knowledge-based systems (KBS) has been attributed, in part, to an inadequate consideration shown to user interface design during development. From a human factors perspective the problem has stemmed from an overall lack of user-centred design principles. Consequently the integration of human factors principles and techniques is seen as a necessary and important precursor to ensuring the implementation of KBS which are useful to, and usable by, the end-users for whom they are intended. Focussing upon KBS work taking place within commercial and industrial environments, this research set out to assess both the extent to which human factors support was presently being utilised within development, and the future path for human factors integration. The assessment consisted of interviews conducted with a number of commercial and industrial organisations involved in KBS development; and a set of three detailed case studies of individual KBS projects. Two of the studies were carried out within a collaborative Alvey project, involving the Interdisciplinary Higher Degrees Scheme (IHD) at the University of Aston in Birmingham, BIS Applied Systems Ltd (BIS), and the British Steel Corporation. This project, which had provided the initial basis and funding for the research, was concerned with the application of KBS to the design of commercial data processing (DP) systems. The third study stemmed from involvement on a KBS project being carried out by the Technology Division of the Trustees Saving Bank Group plc. The preliminary research highlighted poor human factors integration. In particular, there was a lack of early consideration of end-user requirements definition and user-centred evaluation. Instead concentration was given to the construction of the knowledge base and prototype evaluation with the expert(s). In response to this identified problem, a set of methods was developed that was aimed at encouraging developers to consider user interface requirements early on in a project. These methods were then applied in the two further projects, and their uptake within the overall development process was monitored. Experience from the two studies demonstrated that early consideration of user interface requirements was both feasible, and instructive for guiding future development work. In particular, it was shown a user interface prototype could be used as a basis for capturing requirements at the functional (task) level, and at the interface dialogue level. Extrapolating from this experience, a KBS life-cycle model is proposed which incorporates user interface design (and within that, user evaluation) as a largely parallel, rather than subsequent, activity to knowledge base construction. Further to this, there is a discussion of several key elements which can be seen as inhibiting the integration of human factors within KBS development. These elements stem from characteristics of present KBS development practice; from constraints within the commercial and industrial development environments; and from the state of existing human factors support.