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Auflistung nach Schlagwort "decision making"

1 - 6 von 6
  • Zeitschriftenartikel
    Decision 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, Thomas
    We 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.
  • Konferenzbeitrag
    Do 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, Guido
    Organizations 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.
  • Konferenzbeitrag
    MyUniversity: 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, Jordi
    MyUniversity 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.
  • Konferenzbeitrag
    RAPP: A Responsible Academic Performance Prediction Tool for Decision-Making in Educational Institutes
    (BTW 2023, 2023) Duong, Manh Khoi; Dunkelau, Jannik; Cordova, José Andrés; Conrad, Stefan
    Due 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.
  • Konferenzbeitrag
    Sharing and Exploiting Requirement Decisions
    (Softwaretechnik-Trends Band 40, Heft 1, 2020) Kleebaum, Anja; Johanssen, Jan Ole; Paech, Barbara; Bruegge, Bernd
    Continuous software engineering is an agile development process that puts particular emphasis on the incremental implementation of requirements and their rapid validation through user feedback. This involves frequent and incremental decision making, which needs to be shared within the team. Requirements engineers and developers have to share their decision knowledge since the decisions made are particularly important for future requirements. It has been a vision for long that important decision knowledge gets documented and shared. However, several reasons hinder requirements engineers and developers from doing this, for example, the intrusiveness and overhead of the documentation. With ConDec, we develop tool support for the continuous management of decision knowledge that uses techniques for natural language processing and integrates into tools that developers often use, for example, into the issue tracking system Jira. In this work, we focus on how ConDec enables requirements engineers and developers to share and exploit decision knowledge regarding requirements. We evaluate ConDec in student projects and develop techniques to teach decision knowledge management.
  • Zeitschriftenartikel
    Social anthropology 4.0
    (i-com: Vol. 23, No. 2, 2024) Balthasar, Mandy
    Human-computer interaction as a coordinating element between human and machine is used in many different ways. Due to their digital processes, countless industries are dependent on an effective intermeshing of humans and machines. This often involves preparatory work or sub-processes being carried out by machines, which humans initiate, take up, continue, finalise or check. Tasks are broken down into sub-steps and completed by humans or machines. Aggregated cooperation conceals the numerous challenges of hybrid cooperation in which communication and coordination must be mastered in favour of joint decision-making. However, research into human-computer interaction can also be thought of differently than a mere aggregation of humans and machines. We want to propose a nature-inspired possibility that has been successfully practising the complex challenges of joint decision-making as proof of successful communication and coordination for millions of years. Collective intelligence and the processes of self-organisation offer biomimetic concepts that can be used to rethink socio-technical systems as a symbiosis in the form of a human-computer organism. For example, the effects of self-organisation such as emergence could be used to exceed the result of an aggregation of humans and machines as a future social anthropology 4.0 many times over.