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Auflistung nach Autor:in "Hoffmann, Clemens"

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  • Konferenzbeitrag
    Augmented Reality Guidance for Car Repairs: immediate and long-term Effects
    (Mensch und Computer 2021 - Tagungsband, 2021) Hoffmann, Clemens; Prilla, Michael; Wundram, Kai; Emmermann, Björn
    Car service technicians are challenged by the increasing variety and complexity of repair and maintenance tasks. Recent studies have shown benefits by using augmented reality (AR) for different industrial tasks. Most studies compared a very established support technology with the new AR support in just one initial exposure. The lack of routine in dealing with AR often creates a respective disadvantage. This paper looks into the question to which extent can AR head-mounted display (AR HMD) guidance provide benefits for an unknown car repair task. To investigate further than an initial exposure, the service technicians repeated the specific task every twoweeks in total four times. The experiment under field conditions compares the efficiency, the repair quality, and the mental effort under AR HMD support to the traditional repair guideline. Results indicated that AR HMD support impacts positive the repair quality immediately and long term. Furthermore, the AR HMD support created a decent learning environment, that the high quality also remained without AR guidance. This shows opportunities to use AR HMDs for training and guidance of industrial tasks in practice.
  • Konferenzbeitrag
    Impact of augmented reality guidance for car repairs on novice users of AR: a field experiment on familiar and unfamiliar tasks
    (Mensch und Computer 2020 - Tagungsband, 2020) Hoffmann, Clemens; Büttner, Sebastian; Prilla, Michael; Wundram, Kai
    The use of augmented reality (AR) guidance is seen as an opportunity to address the growing complexity of industrial tasks. Previous research showed benefits of AR for different industrial tasks especially for novice users, while other research suggests that AR was not superior to other means for novices. However, there is not much work that looks at the relation between initial exposure of users to AR (that is, if users have never used AR before) and different types of tasks. In this paper, addressing the field of car maintenance and repair, we look into the question of how AR support impacts the performance in familiar and unfamiliar task if the AR user has never used AR before. By running an experiment under field conditions, we investigate whether the familiarity of a specific repair task has an impact on the performance under AR guidance compared to a traditional repair guideline. Our experiment reveals interesting insights. First, we show that familiarity and routine have an important impact on adherence to (all) repair guidelines, which should be regarded in future studies. Second, despite its novelty and the corresponding added time to deal with AR, we found that guidance via AR worked better for unfamiliar tasks. This shows the potential of AR for guidance of industrial tasks in practice, and it brings up design suggestions for the implementation of this guidance in practice.
  • Konferenzbeitrag
    jQuery Plugin für eine erweiterte Autovervollständigung auf der Basis von SPARQL-Endpunkten
    (INFORMATIK 2010. Service Science – Neue Perspektiven für die Informatik. Band 2, 2010) Nitzschke, Marcus; Hoffmann, Clemens; Schöne, Thomas; Baumheier, Konrad; Mitjagin, Marina