Integration of decision support systems to improve decision support performance

Decision support system (DSS) is a well-established research and development area. Traditional isolated, stand-alone DSS has been recently facing new challenges. In order to improve the performance of DSS to meet the challenges, research has been actively carried out to develop integrated decision support systems (IDSS). This paper reviews the current research efforts with regard to the development of IDSS. The focus of the paper is on the integration aspect for IDSS through multiple perspectives, and the technologies that support this integration. More than 100 papers and software systems are discussed. Current research efforts and the development status of IDSS are explained, compared and classified. In addition, future trends and challenges in integration are outlined. The paper concludes that by addressing integration, better support will be provided to decision makers, with the expectation of both better decisions and improved decision making processes

Position paper on realizing smart products: challenges for Semantic Web technologies

In the rapidly developing space of novel technologies that combine sensing and semantic technologies, research on smart products has the potential of establishing a research field in itself. In this paper, we synthesize existing work in this area in order to define and characterize smart products. We then reflect on a set of challenges that semantic technologies are likely to face in this domain. Finally, in order to initiate discussion in the workshop, we sketch an initial comparison of smart products and semantic sensor networks from the perspective of knowledge technologies

GUARDIANS final report

Emergencies in industrial warehouses are a major concern for firefghters. The large dimensions together with the development of dense smoke that drastically reduces visibility, represent major challenges. The Guardians robot swarm is designed to assist fire fighters in searching a large warehouse. In this report we discuss the technology developed for a swarm of robots searching and assisting fire fighters. We explain the swarming algorithms which provide the functionality by which the robots react to and follow humans while no communication is required. Next we discuss the wireless communication system, which is a so-called mobile ad-hoc network. The communication network provides also one of the means to locate the robots and humans. Thus the robot swarm is able to locate itself and provide guidance information to the humans. Together with the re ghters we explored how the robot swarm should feed information back to the human fire fighter. We have designed and experimented with interfaces for presenting swarm based information to human beings

Analysing the role of complexity in explaining the fortunes of technology programmes : Empirical application of the NASSS framework

© The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.Background: Failures and partial successes are common in technology-supported innovation programmes in health and social care. Complexity theory can help explain why. Phenomena may be simple (straightforward, predictable, few components), complicated (multiple interacting components or issues) or complex (dynamic, unpredictable, not easily disaggregated into constituent components). The recently published NASSS framework applies this taxonomy to explain Non-adoption or Abandonment of technology by individuals and difficulties achieving Scale-up, Spread and Sustainability. This paper reports the first empirical application of the NASSS framework. Methods: Six technology-supported programmes were studied using ethnography and action research for up to 3 years across 20 health and care organisations and 10 national-level bodies. They comprised video outpatient consultations, GPS tracking technology for cognitive impairment, pendant alarm services, remote biomarker monitoring for heart failure, care organising software and integrated case management via data warehousing. Data were collected at three levels: micro (individual technology users), meso (organisational processes and systems) and macro (national policy and wider context). Data analysis and synthesis were guided by socio-technical theories and organised around the seven NASSS domains: (1) the condition or illness, (2) the technology, (3) the value proposition, (4) the adopter system (professional staff, patients and lay carers), (5) the organisation(s), (6) the wider (institutional and societal) system and (7) interaction and mutual adaptation among all these domains over time. Results: The study generated more than 400 h of ethnographic observation, 165 semi-structured interviews and 200 documents. The six case studies raised multiple challenges across all seven domains. Complexity was a common feature of all programmes. In particular, individuals' health and care needs were often complex and hence unpredictable and 'off algorithm'. Programmes in which multiple domains were complicated proved difficult, slow and expensive to implement. Those in which multiple domains were complex did not become mainstreamed (or, if mainstreamed, did not deliver key intended outputs). Conclusion: The NASSS framework helped explain the successes, failures and changing fortunes of this diverse sample of technology-supported programmes. Since failure is often linked to complexity across multiple NASSS domains, further research should systematically address ways to reduce complexity and/or manage programme implementation to take account of it.Peer reviewedFinal Published versio

Approaching the potential of cyber-physical systems to tourism projects

We are witnessing the need for a quick and intelligent reaction from organizations to the level and speed of change in business processes. This is often associated with the emerging of new information systems and technologies, bursting problems like the persistence of wrong information, systems not fully used and slow response. This requires two main actions: synchronizing people’s visions and strategies within the organization and selecting the information which is relevant for the strategic goals. The main challenge of the proposed approach is to choose the information systems’ portfolio management aligned with the enterprise architecture. This integration leads to modelling the process architecture of the company, which in turn serves as a reference for knowledge-base management to cope with business prospects. This kind of flexible framework can contribute to managing the potential adherence to new systems such as the mobile, cloud, big-data or IoT-based services that tend to proliferate especially in such areas as tourism and health

Augmented reality at the workplace : a context-aware assistive system using in-situ projection

Augmented Reality has been used for providing assistance during manual assembly tasks for more than 20 years. Due to recent improvements in sensor technology, creating context-aware Augmented Reality systems, which can detect interaction accurately, becomes possible. Additionally, the increasing amount of variants of assembled products and being able to manufacture ordered products on demand, leads to an increasing complexity for assembly tasks at industrial assembly workplaces. The resulting need for cognitive support at workplaces and the availability of robust technology enables us to address real problems by using context-aware Augmented Reality to support workers during assembly tasks. In this thesis, we explore how assistive technology can be used for cognitively supporting workers in manufacturing scenarios. By following a user-centered design process, we identify key requirements for assistive systems for both continuously supporting workers and teaching assembly steps to workers. Thereby, we analyzed three different user groups: inexperienced workers, experienced workers, and workers with cognitive impairments. Based on the identified requirements, we design a general concept for providing cognitive assistance at workplaces which can be applied to multiple scenarios. For applying the proposed concept, we present four prototypes using a combination of in-situ projection and cameras for providing feedback to workers and to sense the workers' interaction with the workplace. Two of the prototypes address a manual assembly scenario and two prototypes address an order picking scenario. For the manual assembly scenario, we apply the concept to a single workplace and an assembly cell, which connects three single assembly workplaces to each other. For the order picking scenario, we present a cart-mounted prototype using in-situ projection to display picking information directly onto the warehouse. Further, we present a user-mounted prototype, exploring the design-dimension of equipping the worker with technology rather than equipping the environment. Besides the system contribution of this thesis, we explore the benefits of the created prototypes through studies with inexperienced workers, experienced workers, and cognitively impaired workers. We show that a contour visualization of in-situ feedback is the most suitable for cognitively impaired workers. Further, these contour instructions enable the cognitively impaired workers to perform assembly tasks with a complexity of up to 96 work steps. For inexperienced workers, we show that a combination of haptic and visual error feedback is appropriate to communicate errors that were made during assembly tasks. For creating interactive instructions, we introduce and evaluate a Programming by Demonstration approach. Investigating the long-term use of in-situ instructions at manual assembly workplaces, we show that instructions adapting to the workers' cognitive needs is beneficial, as continuously presenting instructions has a negative impact on the performance of both experienced and inexperienced workers. In the order picking scenario, we show that the cart-mounted in-situ instructions have a great potential as they outperform the paper-baseline. Finally, the user-mounted prototype results in a lower perceived cognitive load. Over the course of the studies, we recognized the need for a standardized way of evaluating Augmented Reality instructions. To address this issue, we propose the General Assembly Task Model, which provides two standardized baseline tasks and a noise-free way of evaluating Augmented Reality instructions for assembly tasks. Further, based on the experience, we gained from applying our assistive system in real-world assembly scenarios, we identify eight guidelines for designing assistive systems for the workplace. In conclusion, this thesis provides a basis for understanding how in-situ projection can be used for providing cognitive support at workplaces. It identifies the strengths and weaknesses of in-situ projection for cognitive assistance regarding different user groups. Therefore, the findings of this thesis contribute to the field of using Augmented Reality at the workplace. Overall, this thesis shows that using Augmented Reality for cognitively supporting workers during manual assembly tasks and order picking tasks creates a benefit for the workers when working on cognitively demanding tasks.Seit mehr als 20 Jahren wird Augmented Reality eingesetzt, um manuelle Montagetätigkeiten zu unterstützen. Durch neue Entwicklungen in der Sensortechnologie ist es möglich, kontextsensitive Augmented-Reality-Systeme zu bauen, die Interaktionen akkurat erkennen können. Zudem führen eine zunehmende Variantenvielfalt und die Möglichkeit, bestellte Produkte erst auf Nachfrage zu produzieren, zu einer zunehmenden Komplexität an Montagearbeitsplätzen. Der daraus entstehende Bedarf für kognitive Unterstützung an Arbeitsplätzen und die Verfügbarkeit von robuster Technologie lässt uns bestehende Probleme lösen, indem wir Arbeitende während Montagearbeiten mithilfe von kontextsensitiver Augmented Reality unterstützen. In dieser Arbeit erforschen wir, wie Assistenztechnologie eingesetzt werden kann, um Arbeitende in Produktionsszenarien kognitiv zu unterstützen. Mithilfe des User-Centered-Design-Prozess identifizieren wir Schlüsselanforderungen für Assistenzsysteme, die sowohl Arbeitende kontinuierlich unterstützen als auch Arbeitenden Arbeitsschritte beibringen können. Dabei betrachten wir drei verschiedene Benutzergruppen: unerfahrene Arbeitende, erfahrene Arbeitende, und Arbeitende mit kognitiven Behinderungen. Auf Basis der erarbeiteten Schlüsselanforderungen entwerfen wir ein allgemeines Konzept für die Bereitstellung von kognitiver Assistenz an Arbeitsplätzen, welches in verschiedenen Szenarien angewandt werden kann. Wir präsentieren vier verschiedene Prototypen, in denen das vorgeschlagene Konzept implementiert wurde. Für die Prototypen verwenden wir eine Kombination von In-Situ-Projektion und Kameras, um Arbeitenden Feedback anzuzeigen und die Interaktionen der Arbeitenden am Arbeitsplatz zu erkennen. Zwei der Prototypen zielen auf ein manuelles Montageszenario ab, und zwei weitere Prototypen zielen auf ein Kommissionierszenario ab. Im manuellen Montageszenario wenden wir das Konzept an einem Einzelarbeitsplatz und einer Montagezelle, welche drei Einzelarbeitsplätze miteinander verbindet, an. Im Kommissionierszenario präsentieren wir einen Kommissionierwagen, der mithilfe von In-Situ-Projektion Informationen direkt ins Lager projiziert. Des Weiteren präsentieren wir einen tragbaren Prototypen, der anstatt der Umgebung den Arbeitenden mit Technologie ausstattet. Ein weiterer Beitrag dieser Arbeit ist die Erforschung der Vorteile der erstellten Prototypen durch Benutzerstudien mit erfahrenen Arbeitenden, unerfahrenen Arbeitenden und Arbeitende mit kognitiver Behinderung. Wir zeigen, dass eine Kontur-Visualisierung von In-Situ-Anleitungen die geeignetste Anleitungsform für Arbeitende mit kognitiven Behinderungen ist. Des Weiteren befähigen Kontur-basierte Anleitungen Arbeitende mit kognitiver Behinderung, an komplexeren Aufgaben zu arbeiten, welche bis zu 96 Arbeitsschritte beinhalten können. Für unerfahrene Arbeitende zeigen wir, dass sich eine Kombination von haptischem und visuellem Fehlerfeedback bewährt hat. Wir stellen einen Ansatz vor, der eine Programmierung von interaktiven Anleitungen durch Demonstration zulässt, und evaluieren ihn. Bezüglich der Langzeitwirkung von In-Situ-Anleitungen an manuellen Montagearbeitsplätzen zeigen wir, dass Anleitungen, die sich den kognitiven Bedürfnissen der Arbeitenden anpassen, geeignet sind, da ein kontinuierliches Präsentieren von Anleitungen einen negativen Einfluss auf die Arbeitsgeschwindigkeit von erfahrenen Arbeitenden sowohl als auch unerfahrenen Arbeitenden hat. Für das Szenario der Kommissionierung zeigen wir, dass die In-Situ-Anleitungen des Kommissionierwagens ein großes Potenzial haben, da sie zu einer schnelleren Arbeitsgeschwindigkeit führen als traditionelle Papieranleitungen. Schlussendlich führt der tragbare Prototyp zu einer subjektiv niedrigeren kognitiven Last. Während der Durchführung der Studien haben wir den Bedarf einer standardisierten Evaluierungsmethode von Augmented-Reality-Anleitungen erkannt. Deshalb schlagen wir das General Assembly Task Modell vor, welches zwei standardisierte Grundaufgaben und eine Methode zur störungsfreien Analyse von Augmented-Reality-Anleitungen für Montagearbeiten bereitstellt. Des Weiteren stellen wir auf Basis unserer Erfahrungen, die wir durch die Anwendung unseres Assistenzsystems in Montageszenarien gemacht haben, acht Richtlinien für das Gestalten von Montageassistenzsystemen vor. Zusammenfassend bietet diese Arbeit eine Basis für das Verständnis der Benutzung von In-Situ-Projektion zur Bereitstellung von kognitiver Montageassistenz. Diese Arbeit identifiziert die Stärken und Schwächen von In-Situ-Projektion für die kognitive Unterstützung verschiedener Benutzergruppen. Folglich tragen die Resultate dieser Arbeit zum Feld der Benutzung von Augmented Reality an Arbeitsplätzen bei. Insgesamt zeigt diese Arbeit, dass die Benutzung von Augmented Reality für die kognitive Unterstützung von Arbeitenden während kognitiv anspruchsvoller manueller Montagetätigkeiten und Kommissioniertätigkeiten zu einer schnelleren Arbeitsgeschwindigkeit führt

i-FRAME – Assessing impacts of social policy innovation in the EU: Proposed methodological framework to evaluate socio-economic returns on investment of social policy innovations

This report presents the final proposal for developing a methodological framework to assess the impacts generated by social policy innovations which promote social investment in the EU, in short i-FRAME. This framework has the objective to provide a structured approach that shall serve as a comprehensive framework for conducting analysis of the economic and social returns on investments of social policy innovations. It also aims to act as a guide to gather insights into replicability and transferability of initiatives which promote social investment across the EU. The report outlines the reviewed and improved theoretical and methodological approach developed by the JRC with help from external experts, and validated by testing the operational components proposed on a number of case studies and scenarios of use. After outlining the conceptual and methodological approach underpinning the i-FRAME (V1.0), the report discusses the proposal for building its operational components according to a structured theoretical framework of a dynamic simulation model for social impact assessment (V1.5). The final proposal for i-FRAME (V2.0) and an overview of the operational components for its implementation are then presented discussing the key elements that should be developed to build a comprehensive i-FRAME Web-Platform and simulator for social impact assessment. Conclusions are then offered in terms of implications for policy and directions for future research. These were drawn after consulting experts from different research disciplines, practitioners and representatives of relevant stakeholders and policymakers, and they include .recommendations for further developing the operational components proposed, paving the way towards building the i-FRAME (V3.0) and beyond.JRC.B.4-Human Capital and Employmen