Auflistung nach Autor:in "Bertel, Sven"
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- WorkshopbeitragAdaptive eLearning based on individual learning styles – Performance and emotional factors(Mensch & Computer 2014 - Tagungsband, 2014) Beckmann, Jennifer; Bertel, Sven; Zander, SteffiAdaptive eLearning systems are able to adjust to a user’s learning needs, usually by user modeling or tracking progress. Such learner-adaptive behavior has rapidly become a hot topic for eLearning. This contribution presents original research on using differ-ences in individual learning styles. Factors related to performance, motivation, satisfac-tion, and previous knowledge were targeted and used to assess the effectiveness of the approach.
- KonferenzbeitragCan’t Touch This – The Design Case Study of a Museum Installation(Mensch und Computer 2016 - Tagungsband, 2016) Pannier, Michael; Hornecker, Eva; Bertel, SvenMuseum exhibits offer particular challenges for the design of interactive installations, as visitors usually cannot directly interact with artefacts. This paper presents a depth-sensor based system for interaction via pointing gestures that we developed for an interactive museum installation (IMI), permanently installed in a showcase of the grave of a Germanic princess. Users interact by walking up to and pointing at artefacts within the showcase. Our IMI determines which artefact is addressed and displays corresponding information on a screen. The IMI also provides a setup-mode for curators for configuration. We describe the system preliminary deployment observations and the considerations involved in negotiating design options. Our case study exemplifies how domain restrictions predominantly curatorial concerns can significantly constrain the space of viable design choices lead to discarding many novel and interesting interaction designs and increase implementation effort.
- KonferenzbeitragCONTEX(T)PLORER: A Mobile Inspector for Ubiquitous Environments(Mensch & Computer 2014 - Tagungsband, 2014) Schirmer, Maximilian; Bertel, Sven; Wilkening, Ronja LarsThe complex invisible interactions between components of ubiquitous environments present a challenge for end-users and thereby raise concerns of privacy and nontransparency. In this paper, we introduce CONTEX(T)PLORER, a mobile inspector system that aims at lowering the acceptance barrier of ambient intelligence and ubiquitous computing environments. The inspector actively involves end-users in an in-situ investigation process: users select, explore, and inspect components in a ubiquitous environment while interacting with them. Individual components are used as entry points to the process. We present a brief overview of the system’s concept and implementation, and discuss related work.
- KonferenzbeitragContexto: Leveraging Energy Awareness in the Development of Context-Aware Applications(Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2014) Schirmer, Maximilian; Bertel, Sven; Pencke, JonasWe introduce a new context classification and recognition framework for the development and deployment of mobile, context-aware applications. The framework is complemented with an energy calculator that specifically assists mobile developers in estimating the energy footprint of context-aware applications during the development process with the framework. The framework abstracts from the raw context information gathering, allows for sensor fusion, enables the prediction of custom and higher-level contexts, and provides for context sharing.
- KonferenzbeitragPotenzial von AR für Analyse und Training räumlichen Vorstellungsvermögens: eine Fallstudie(Mensch und Computer 2019 - Tagungsband, 2019) Dohse, Friedemann; Nicolaisen, Vera; Wetzel, Stefanie; Bertel, SvenGerade im MINT-Bereich ist ein gutes räumliches Vorstellungsvermögen wichtig. Für die Entwicklung eines effektiven Trainingsprogramms eignen sich Smartphones aufgrund ihrer weiten Verbreitung besonders gut. Durch entsprechende Frameworks ist zudem die Erstellung von Augmented Reality (AR)-Inhalten einfacher geworden. Um das Potenzial von AR für Analyse und Training räumlicher Fähigkeiten zu beurteilen, wurde ein Prototyp einer App entwickelt, mit dem Schnittbildaufgaben gelöst werden können. Der Prototyp wurde in einer Studie mit 32 Studierenden mit einer Vergleichs-App mit Arcball-Interaktion verglichen. Die Lösungsraten beider waren vergleichbar hoch, 3D-Objekte konnten aber deutlich schneller mit der Arcball-App rotiert werden. Die Nutzer*innen bewerteten die AR-App insgesamt als innovativ und motivierend, aber auch als körperlich anfordernder. Gerade der letzte Punkt ist interessant: Vor dem Hintergrund der engen Verknüpfung von körperlicher Bewegung und räumlichen Fähigkeiten eignet sich der AR-Ansatz womöglich besonders gut für räumliche Trainings-Apps und könnte langfristig zu besseren Trainings-ergebnissen führen.