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Auflistung nach Autor:in "Grimm, Valentin"

1 - 6 von 6
  • Konferenzbeitrag
    A Gamification Design Tool to Improve Design Quality
    (Mensch und Computer 2022 - Tagungsband, 2022) Grimm, Valentin
    This demo features a prototype of a software tool to guide developers through the process of gamification design. It shall improve gameful designs, especially in the scientific community, and make the process of gamification design more accessible for non-experts in the field. The main goal of this first version is to gain user feedback on its usefulness with respect to intuition of use, its documentation capabilities and collaboration.
  • Konferenzbeitrag
    Immersive Experience of Multidimensional Data using Mixed Reality based Scatterplots
    (Mensch und Computer 2022 - Tagungsband, 2022) Potthast, Jonas; Grimm, Valentin; Rubart, Jessica
    Scatterplots are widespread mathematical diagrams visualizing data in usually two or three dimensions. In this paper, we present a prototypical app implemented for the Microsoft HoloLens 2 device, which demonstrates an immersive experience for multidimensional data. The data is visualized by a three-dimensional scatterplot using color for an optional fourth dimension. The immersive experience enables the manipulation of the dimensions as well as the interaction with the data elements. First user feedback indicates that in this way, users tend to get a better understanding of the underlying multidimensional data.
  • Workshopbeitrag
    Immersive Exploration of Machine Learning Data Combining Visual Analytics with Explainable AI
    (Mensch und Computer 2023 - Workshopband, 2023) Potthast, Jonas; Grimm, Valentin; Rubart, Jessica
    With the need to explain complex machine learning (ML) models it is necessary to explore human friendly visualizations and interaction techniques of data. In our position paper, we discuss a unique way for interacting with machine learning data to help decision makers in developing a mental model. This can increase trust towards the ML models and make the complexity digestible. In our approach, we combine visual analytics with explainable AI. In particular, we present a Mixed Reality based scatterplot application making use of SHAP values, where feature axes are automatically adjusted when diving deeper into parts of the data.
  • Workshopbeitrag
    Partizipativer Entwicklungsprozess einer Trainingsplattform für Haushaltshilfen
    (Mensch und Computer 2023 - Workshopband, 2023) Grimm, Valentin; Rubart, Jessica; Faller, Gudrun; Geiger, Laura
    Die Gruppe der Angestellten in haushaltsnahen Dienstleistungen wurde bisher in Forschung und Praxis wenig beachtet. Daher wird diese spezielle Zielgruppe in unserem Forschungsprojekt in den Fokus gestellt und partizipativ eine Trainingsplattform entwickelt. Diese soll der Zielgruppe relevante Hilfestellungen für ihren Arbeitsalltag an die Hand geben. Im Zuge dessen stellen wir in diesem Papier den Gekonnt handeln partizipativen Prozess zur Entwicklung der Plattform vor. Dieser zeichnet sich durch den Umgang mit einer bisher in Forschung und Praxis wenig fokussierten Zielgruppe im Schnittstellenbereich Arbeit, Gesundheit und Diversity aus. Des Weiteren kennzeichnet sich der Prozess durch einen multimethodischen Ansatz, welcher qualitative und quantitative Methoden der Datenerhebung mit partizipativ entwickelten und evaluierten Edutainment-Angeboten kombiniert.
  • Konferenzbeitrag
    Requirements and Design of a Training System for Domestic Workers
    (20. Fachtagung Bildungstechnologien (DELFI), 2022) Grimm, Valentin; Geiger, Laura; Rubart, Jessica; Faller, Gudrun
    Employees in household-related services have so far been neglected in research and practice. The overall goal of our project is to identify work-related stress of this special target group, develop recommendations, and disseminate them using low-threshold, attractive edutainment offers. In this context, this contribution presents a learning platform design for the special target group of domestic workers, such as gardeners or cleaners. The design is based on a requirements analysis with respect to this special target group, which we as well outline in this contribution.
  • Workshopbeitrag
    Unlocking E-learning and XAI Concepts with Free Limited Choice
    (Mensch und Computer 2023 - Workshopband, 2023) Grimm, Valentin; Rubart, Jessica
    This paper focuses on a game design element that aims to increase the motivation of users to focus on a single aspect while having a strong feeling of free choice. We call this concept "Free Limited Choice" (FLC). To approach this idea, we present two scenarios in different domains - e-learning and eXplainable AI (XAI). XAI in particular, is a quite new field for applying gamification concepts. In first preliminary user studies, we collect data for a first assessment of each scenario and specifically FLC. Based on this data, we conclude that FLC can be a useful concept for the desired purpose, but also highlight different aspects to consider when utilizing it.