Auflistung nach Schlagwort "decision making"
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- ZeitschriftenartikelDecision making support in security forces command centers at open air music festivals: Localization of resources and sharing information(it - Information Technology: Vol. 60, No. 4, 2018) Köfler, Armin; Pammer-Schindler, Viktoria; Almer, Alexander; Schnabel, ThomasWe describe a case study on decision making in command centers of security forces at major open air music festivals. Our goal was to assess current modus operandi and to identify design implications. We have carried out two expert interviews, two field observations and four group discussions with experts based on a fully functional prototype as IT artifact to concretize discussions. Key insights are that in this case localization of relevant resources is the most important aspect of situation awareness, and that state of current knowledge needs to be clearly shared within the command center.
- KonferenzbeitragDo not disturb! trust in decision support systems improves work outcomes under certain conditions(Mensch und Computer 2020 - Tagungsband, 2020) Müller, Lea S.; Meeßen, Sarah M.; Thielsch, Meinald T.; Nohe, Christoph; Riehle, Dennis M.; Hertel, GuidoOrganizations provide their employees with decision support systems (DSS) to facilitate successful decision making. However, the mere provision of a DSS may not be sufficient to facilitate beneficial work outcomes because employees often do not rely on a DSS. Therefore, we examined whether users’ trust in a DSS increases positive effects of DSS provision on several core work outcomes (i.e., performance, well-being, and release of cognitive capacities). Moreover, we examined whether trust effects on these work outcomes depend on specific context conditions (i.e., user accountability, distraction, and market dynamics). We tested our hypotheses in a laboratory experiment with N = 201 participants who received assistance by a DSS in a simulated sales planning scenario. In line with our assumptions, trust in the DSS was positively related to users’ performance and well-being. Moreover, the link between trust and strain as well as release of cognitive capacities were qualified by distraction, so that higher distraction diminished these links. No such moderation occurred for user accountability and market dynamics.
- KonferenzbeitragMyUniversity: E-Participation and Decision Making for Higher Education(Electronic Government and Electronic Participation - Joint Proceedings of Ongoing Research of IFIP EGOV and IFIP ePart 2036, 2013) Cucurull, Jordi; Álvaro, Albert; Puiggalí, JordiMyUniversity is a European project to foster the eParticipation in European higher education institutions and allow their members to influence the final decision making performed by the institutions' authorities. A framework, composed of the two existing interactive tools Gov2Demoss and Pnyx.eVoting, and a methodology to manage eParticipation initiatives have been created for this purpose. This paper studies the eParticipation obtained in 14 European universities where the framework and methodologies have been applied. The paper also describes the developed project framework, the methodology, the trial, the first preliminary participation results, and analyzes the main conclusions and lessons learned from them.
- KonferenzbeitragRAPP: A Responsible Academic Performance Prediction Tool for Decision-Making in Educational Institutes(BTW 2023, 2023) Duong, Manh Khoi; Dunkelau, Jannik; Cordova, José Andrés; Conrad, StefanDue to the increasing importance of educational data mining for the early intervention of at-risk students and the growth of performance data collected in educational institutes, it becomes natural to employ machine learning models to predict student's performances based off prior data. Although machine learning pipelines are often similar, developing one for a specific target prediction of academic success can become a daunting task. In this work, we present a graphical user interface which implements a customisable machine learning pipeline which allows the training and evaluation of machine learning models for different definitions of academic success, \eg, collected credits, average grade, number of passed exams, etc. The evaluation is exported in PDF format after finishing training. As this tool serves as a decision support system for socially responsible AI systems, fairness notions were included in the evaluation to detect potential discrimination in the data and prediction space.