Specifying Single-user and Collaborative Profiles for Alerting Systems

The 21st century is the age of information overload. Often, humans are incapable of processing all of the information that surrounds them and determining its relevance. The impact of overlooking crucial information ranges from annoying to fatal. Alerting systems help users deal with this vast amount of information by employing a push-based rather than a pull-based approach to information delivery. In this way, users receive the information they require at the appropriate moment. Users specify their alerting needs in a profile that is subscribed to the alerting system. The alerting system is continuously fed with data, and filters this data against all subscribed profiles. Whenever incoming data matches a profile, the subscriber is alerted. Although alerting systems solve the problem of information overload, the potential of these systems has not been fully put into practice. Alerting systems are either realised as dedicated systems that, at best, offer a set of possible profiles to choose from or, at worst, offer a preset profile for one purpose only. Alternatively, they are application frameworks that offer no support for the average user; that is, the specification of profiles is realised using a programming interface. Collaboration between users when specifying profiles is not supported. This thesis verifies the described situation by considering the example application domain of health care. Within this context, a requirements analysis was undertaken involving a patient-based online survey and interviews with health care providers. This analysis revealed the utility of alerting systems but a need for support for profile specification by end-users. It also identified the need for such a system to support the collaborative nature of health care. The shortcomings of alerting systems identified for the health-care area also exist in other domains. Hence, a variety of application areas will benefit from providing universal solutions to eliminate these shortcomings. Based on these findings, this thesis proposes the graphical profile specification language GPDL and an interactive single-user software tool that supports its use (GPDL-UI). The thesis introduces a novel collaborative alerting model for Information Systems. A collaborative extension of GPDL is implemented in the software tool CoastEd, an editor for the graphical specification of collaborative profiles. The developed languages and software tools target average users who have no expertise in specifying profiles involving logics and temporal constraints. The efficacy of the proposed languages and software were evaluated through three user studies. The first study examined interpretation and specification with GPDL. Based on the results of this first study, the single-user system GPDL-UI was designed and implemented and then evaluated in a second study. In turn, the lessons learned from the implementation and user studies for the single-user system influenced the development of the collaborative approach CoastEd; this editor was evaluated in the third study. The studies have shown that GPDL and GPDL-UI are suitable means for average users to effectively specify profiles in single-user alerting systems. High levels of accuracy were reached for specification and interpretation in both studies. GPDL-UI turned out to be a usable and effective software tool. The collaborative approach and CoastEd succeed in conveying the idea of collaborative profile specification to average users. Most types of collaborative profiles were successfully specified by users. For the initiator of the collaborative profile specification process, two types of profiles call for further research. Overall, the approach, languages and software tools developed are shown to be effective and merit future research in that area

The future of Cybersecurity in Italy: Strategic focus area

This volume has been created as a continuation of the previous one, with the aim of outlining a set of focus areas and actions that the Italian Nation research community considers essential. The book touches many aspects of cyber security, ranging from the definition of the infrastructure and controls needed to organize cyberdefence to the actions and technologies to be developed to be better protected, from the identification of the main technologies to be defended to the proposal of a set of horizontal actions for training, awareness raising, and risk management

The Impact of Digital Technologies on Public Health in Developed and Developing Countries

This open access book constitutes the refereed proceedings of the 18th International Conference on String Processing and Information Retrieval, ICOST 2020, held in Hammamet, Tunisia, in June 2020.* The 17 full papers and 23 short papers presented in this volume were carefully reviewed and selected from 49 submissions. They cover topics such as: IoT and AI solutions for e-health; biomedical and health informatics; behavior and activity monitoring; behavior and activity monitoring; and wellbeing technology. *This conference was held virtually due to the COVID-19 pandemic

Improving Access and Mental Health for Youth Through Virtual Models of Care

The overall objective of this research is to evaluate the use of a mobile health smartphone application (app) to improve the mental health of youth between the ages of 14–25 years, with symptoms of anxiety/depression. This project includes 115 youth who are accessing outpatient mental health services at one of three hospitals and two community agencies. The youth and care providers are using eHealth technology to enhance care. The technology uses mobile questionnaires to help promote self-assessment and track changes to support the plan of care. The technology also allows secure virtual treatment visits that youth can participate in through mobile devices. This longitudinal study uses participatory action research with mixed methods. The majority of participants identified themselves as Caucasian (66.9%). Expectedly, the demographics revealed that Anxiety Disorders and Mood Disorders were highly prevalent within the sample (71.9% and 67.5% respectively). Findings from the qualitative summary established that both staff and youth found the software and platform beneficial

Combining SOA and BPM Technologies for Cross-System Process Automation

This paper summarizes the results of an industry case study that introduced a cross-system business process automation solution based on a combination of SOA and BPM standard technologies (i.e., BPMN, BPEL, WSDL). Besides discussing major weaknesses of the existing, custom-built, solution and comparing them against experiences with the developed prototype, the paper presents a course of action for transforming the current solution into the proposed solution. This includes a general approach, consisting of four distinct steps, as well as specific action items that are to be performed for every step. The discussion also covers language and tool support and challenges arising from the transformation

The Impact of Digital Technologies on Public Health in Developed and Developing Countries

This open access book constitutes the refereed proceedings of the 18th International Conference on String Processing and Information Retrieval, ICOST 2020, held in Hammamet, Tunisia, in June 2020.* The 17 full papers and 23 short papers presented in this volume were carefully reviewed and selected from 49 submissions. They cover topics such as: IoT and AI solutions for e-health; biomedical and health informatics; behavior and activity monitoring; behavior and activity monitoring; and wellbeing technology. *This conference was held virtually due to the COVID-19 pandemic