1752 research outputs found
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Konzeption und Realisierung einer interaktiven und Feedback-orientierten Webplattform für Stresspatienten
Full text linkStress is a normal biological reaction to stressors. Stress is more and more present in our lives. Exposure to high stress levels for a long period of time can have negative effects on emotional and physical health. It is important to control and reduce stress and anxiety. Technology can help to measure, track and reduce the stress level. At University Ulm there exists several applications where patients suffering from stress can track their stress levels. The goal of this project is to develop an interactive and feedback-oriented web platform for patients that participate in the stress tracking program. The web platform should offer to users the opportunity to visualize their recorded stress data. Statistic related with their own data and in comparison with other participants should be presented. This web platform could help patients to become more conscious of their stressors or stressful situations, manage and maybe reduce their stress levels
Konzeption und Realisierung einer Digital Citizen Science Plattform
No full textEinige wissenschaftliche Errungenschaften sind auf Erkenntnisse von unerfahrenen Menschen zurückzuführen. Forschungsprojekte werden meist nur von erfahrenen Wissenschaftlern durchgeführt, dabei können Forschungsprojekte von der aktiven Teilnahme von Bürgerinnen und Bürgern, welche als Citizen Science bezeichnet wird, stark profitieren. Um möglichst vielen Menschen das Mitwirken an Forschungsprojekten zu ermöglichen bietet es sich an, eine Citizen Science Plattform in digitaler Form umzusetzen, denn somit können Daten weltweit über das Internet getrackt werden.
Das Ziel der vorliegenden Arbeit ist die Entwicklung eines webbasierten Systems, mit dem Digital Citizen Science Projekte umgesetzt werden können. Über einen Webclient mit grafischer Oberfläche können Nutzer Projekte erstellen um Daten zu tracken, ihre Daten verwalten, mit anderen Nutzern teilen und Projekte wieder exportieren. Die Sammlung und Verwaltung der Daten übernimmt ein Webserver, der mit Datenbanken zu den Projekten verbunden ist
Towards the Interpretation of Sound Measurements from Smartphones Collected with Mobile Crowdsensing in the Healthcare Domain: An Experiment with Android Devices
Full text linkThe ubiquity of mobile devices fosters the combined use of ecological momentary assessments (EMA) and mobile crowdsensing (MCS) in the field of healthcare. This combination not only allows researchers to collect ecologically valid data, but also to use smartphone sensors to capture the context in which these data are collected. The TrackYourTinnitus (TYT) platform uses EMA to track users’ individual subjective tinnitus perception and MCS to capture an objective environmental sound level while the EMA questionnaire is filled in. However, the sound level data cannot be used directly among the different smartphones used by TYT users, since uncalibrated raw values are stored. This work describes an approach towards making these values comparable. In the described setting, the evaluation of sensor measurements from different smartphone users becomes increasingly prevalent. Therefore, the shown approach can be also considered as a more general solution as it not only shows how it helped to interpret TYT sound level data, but may also stimulate other researchers, especially those who need to interpret sensor data in a similar setting. Altogether, the approach will show that measuring sound levels with mobile devices is possible in healthcare scenarios, but there are many challenges to ensuring that the measured values are interpretable
Applying Eye Movement Modeling Examples to Guide Novices’ Attention in the Comprehension of Process Models
Full text linkProcess models are crucial artifacts in many domains and, hence, their proper comprehension is of importance. Process models mediate a plethora of aspects that are needed to be comprehended correctly. Especially novices face difficulties in the comprehension of process models, since a correct comprehension of such models requires process modeling expertise and visual observation capabilities to interpret these models correctly. Research from other domains demonstrated that visual observation capabilities of experts can be conveyed to novices. In order to evaluate the latter in the context of process model comprehension, this paper presents the results from ongoing research, in which gaze data from experts are used as Eye Movement Modeling
Examples (EMMEs) to convey visual observation capabilities to novices. Compared to prior results, the application of EMMEs improves process model comprehension significantly for novices. Novices achieved in some cases similar performance in process model comprehension as experts. Study insights highlight the positive effect of EMMEs to foster the comprehension of process models
Machine-learning basierte Auswertung von mHealth EMA-Tinnitusdaten in Kombination mit Handynutzungsdaten
No full textNahezu jeder Mensch hatte schon einmal ein Klingeln oder Pfeifen im Ohr. Dieses Symptom ist völlig normal, wenn es nach einer kurzen Zeit wieder verklingt. Falls es jedoch über einen längeren Zeitraum wahrgenommen wird, spricht man von einem Tinnitus. Bei einem Großteil der Tinnituspatienten ist unklar, aus welchen Gründen die Patienten Tinnitus bekommen. Die Gründe werden schon länger untersucht, damit man dem Tinnitus vorbeugen und Diesen verhindern kann. Hierfür wird inzwischen mit maschinellem Lernen und der dazugehörigen automatisierten Klassifikation gearbeitet. In dieser Arbeit wird ein System untersucht, welches den Tinnitus durch die Handynutzungsdaten der Patienten Mithilfe von Klassifikationsverfahren und den in dieser Arbeit vorgeschlagenen Optimierungsverfahren vorhersagt. Dabei werden verschiedene Apps bei den jeweiligen Patienten miteinander verglichen und es wird versucht ein Muster zu erkennen, um Tinnitus vorhersagen zu können
Konzeption und Realisierung eines technischen Settings zur Erfassung der Gehgeschwindigkeit mithilfe von Smartphone-Sensorik in Kombination mit Machine Learning
No full textDie Messung von Geschwindigkeit findet in zahlreichen Bereichen wie Fitness, Navigation und Gesundheit ihre Anwendung. Im Bereich der Gesundheit kann beispielsweise ein langfristiges Aufzeichnen der Gehgeschwindigkeit als Indikator zur frühzeitigen Erkennung von Demenz und Depressionen verwendet werden. Damit die Messung während des Alltags möglichst mühelos erfolgt und dem generellen Anwendungsfall gerecht wird, ist die Umsetzung der Messung durch eine Smartphone-App sinnvoll. Der Konzipierung und Realisierung einer solchen Applikation ist die folgende Abschlussarbeit gewidmet. Die Geschwindigkeitsmessung basiert auf Daten der Smartphone-Sensorik, welche als Eingabe für ein eindimensionales Deep Convolutional Neural Network genutzt werden. Das DCNN ist in der Lage anhand von erkannten Mustern in der aufgezeichneten Sensorik eine Geschwindigkeitsprognose zu tätigen. In der Praxisanwendung erzielte das erstellte Setting eine durchschnittliche quadratische Mittelwertabweichung von 0.072 m/s. Dieses Ergebnis lässt eine Konkurrenzfähigkeit mit anderen State of the Art Systemen vermuten und betont das Potenzial, welches sich in Machine Learning basierten Ansätzen befindet
A Dashboard-based Approach for Monitoring Object-Aware Processes
Full text linkData (e.g., event logs) gathered during the execution of business processes enable valuable insights into actual process performance. To leverage this knowledge, these data should be analyzed and interpreted in the context of the respective processes. Corresponding analyses allow for a comprehensive process monitoring as well as the discovery
of weaknesses and potential process improvements. This also applies to object-aware processes, where data drives process execution and, thus, is treated as first-class citizen. This paper introduces a dashboard with advanced monitoring functions for object-aware processes
Towards Real-Time Progress Determination of Object-Aware Business Processes
Full text linkTo stay competitive, companies need to continuously improve and evolve their business processes. In this endeavour, business process optimisations and improvements are key elements. In particular, the monitoring of business processes enables the early discovery of problems and errors already during process enactment. Two approaches can be pursued to achieve this: real-time, also called online monitoring, and offline monitoring. A subtask of real-time monitoring is to determine the current progress of a business process, which is particularly challenging if the latter is composed of loosely coupled, smaller processes that interact with each other, like object lifecycle processes in data-centric approaches to BPM, which result in large process structures. This position paper discusses the challenges of determining the progress of such object-aware processes in real-time and defines research questions that need to be investigated in further work
Applying Usability Engineering Methods for the Development of a Bibliometric Platform
No full textFinding relevant information on the Internet is often challenging. This problem is even more severe for researchers and scientists as their work depends on reliable and scientifically proven data. Therefore, platforms like Google Scholar, Web of Science, and Scopus have been introduced with the purpose of providing a widely ranged and always up-to-date collection of scientific publications. The latter two also offer the functionality of citation analysis for a more in-depth quality assessment of publications.
Since there are numerous websites and research platforms offering different sets of functionalities, multiple sources have to be considered in order to assess the quality of a publication adequately or to find related work.
This thesis develops a concept for a new bibliometric platform, which combines a basic search engine with adequate bibliometric analyses and visualizations.
Following, the needs of the user group are incorporated into the planning process. Therefore, usability methods are applied to identify preferences and dislikes as well as the current workflow of the user group. Based on the identified requirements, a user interface prototype for a bibliometric platform is created
Extending a Radiology Information System with a third party web reporting tool
No full textEffectiveness and quality are the focus of the healthcare sector. The sector is supported by various software solutions. Different software solutions are available for diverse areas. In the area of reporting solutions, the main focus is on simplifying and increasing the consistency of reports. One way to do this is to use structured reporting models that work like a template. These are populated with the current diagnostic data. This results in the same reporting patterns over and over again. In order to relieve the employees of as much work as possible other products offer solutions for all aspects of daily hospital life to become the single point of contact for all concerns. The goal of this work is to seamlessly integrate a web based reporting solution into Centricity RIS-i™. The integration should not be limited to a single reporting tool, but the possibility should be given to use any other reporting systems. The user will then be able to create and use findings in the external reporting tool without requiring excessive effort or changing the existing workflows excessively