Stadler, Sebastian; Cornet, Henriette; Frenkler, Fritz (2023)
Multimodal Technologies and Interaction 7 (2), 19.
DOI: 10.3390/mti7020019
A variety of evaluation methods for user interfaces (UI) exist such as usability testing,
cognitive walkthrough, and heuristic evaluation. However, UIs such as guidance systems at transit
hubs must be evaluated in their intended application field to allow the effective and valid identi-
fication of usability flaws. However, what if evaluations are not feasible in real environments, or
laboratorial conditions cannot be ensured? Based on adapted heuristics, in the present study, the
method of heuristic evaluation is combined with immersive Virtual Reality (VR) for the identification
of usability flaws of dynamic guidance systems (DGS) at transit hubs. The study involved usability
evaluations of nine DGS concepts using the newly proposed method. The results show that compared
to computer-based heuristic evaluations, the use of immersive VR led to the identification of an
increased amount of “severe” usability flaws as well as overall usability flaws. Within a qualitative
assessment, immersive VR is validated as a suitable tool for conducting heuristic evaluations in-
volving significant advantages such as the creation of realistic experiences in laboratorial conditions.
Future work seeks to further prove the suitability of using immersive VR for heuristic evaluations
and compare the proposed method to other evaluative methods.
Mehlin, Vanessa; Schacht, Sigurd; Lanquillon, Carsten (2023)
arXiv.
DOI: 10.48550/arXiv.2303.01980
Deep Learning has enabled many advances in machine learning applications in the last few years. However, since current Deep Learning algorithms require much energy for computations, there are growing concerns about the associated environmental costs. Energy-efficient Deep Learning has received much attention from researchers and has already made much progress in the last couple of years. This paper aims to gather information about these advances from the literature and show how and at which points along the lifecycle of Deep Learning (IT-Infrastructure, Data, Modeling, Training, Deployment, Evaluation) it is possible to reduce energy consumption.
Müller, Jochem (2023)
ZBW - Leibniz Information Centre for Economics, Kiel, Hamburg.
Müller, Jochem (2023)
thws Gedanken. Machen. Beiträge zur Entrepreneurship-Forschung mit Schwerpunkte in den Sozial- und Geisteswissenschaften. 2023 (1), 3-20.
DOI: 10.58143/gmbeitrge.v1i1.55
Lanquillon, Carsten; Schacht, Sigurd (2023)
DASC-PM v1.1 Fallstudien, 6-15.
Lanquillon, Carsten; Schacht, Sigurd (2023)
DASC-PM v1.1 Case Studies , 6-14.
DOI: DOI:10.25673/103285
Diener, Florian (2023)
Erlangen: FAU University Press 2023.
Leyendecker, Matthia; Zagel, Christian; Piazza, Alexander (2023)
AHFE International, The Human Side of Service Engineering 108, 254–263.
DOI: 10.54941/ahfe1003127
In the past decade, globalization and digitization have not only changed the way we work, but also the environment in which we work. More and more companies are introducing desk sharing office concepts in which employees must share a workstation. However, this poses challenges for ergonomic workplace design as constant and ergonomically correct workstation settings can hardly be guaranteed. Neglecting ergonomics at workplace, though, can cause musculoskeletal disorders. Therefore, a concept and prototype for a system are proposed which automatically adjusts the workstation to the individual's anthropometric characteristics. A setup of different mechanical and electronical components using microcontrollers, ultrasonic distance sensors and linear actuators assures an automatic adjustment where users only must sign in with their ID. An initial field study shows that the system can achieve high user acceptance. Simplicity, speed, and convenience are seen as added value of the system. The results have potential for future studies.
Fehr, Stefanie (2023)
DGRI-Schriftenreihe, Dr. Otto Schmidt Verlag, Köln.
Fehr, Stefanie (2023)
Der Betrieb (4), 180-186.
Klug, Katharina (2023)
Konferenz-Workshop "Konflikte und Teilhabe in nachhaltigen Konsummärkten", Kiel/Deutschland..
Riemann, Janine (2023)
Proceedings - 4th International Conference Business Meets Technology, Ansbach, Germany, 306-309.
Tekiner, Ismail Hakkia; Knoblauch, Anke; Sover, Alexandru; Häfner, Philipp; Muschler, N. (2023)
Tekiner, Ismail Hakkia; Knoblauch, Anke; Sover, Alexandru; Häfner, Philipp...
V. INTERNATIONAL HALICH CONGRESS ON MULTIDISCIPLINARY SCIENTIFIC RESEARCH, January 15-16, Istanbul, Türkiye.
Klug, Katharina; Hahn, A. (2023)
Markenartikel 22 (5), 5 | 101-103.
Hahn, A.; Klug, Katharina (2023)
Digitale Welt Magazin (6), 1-4.
Klug, Katharina (2023)
"Berliner & Pfannkuchen" .
Kaiser, Norbert (2022)
South Florida Journal of Development.
Hoffmann, Nils Christian; Klug, Katharina (2022)
2022 AMA Winter Academic Conference, 10 - 20 February 2022 Nevada .
Warmuth, Monika; Romberger, Philipp; Uhl, Christian; Hüper, Knut (2022)
Proceedings of the Workshop Biosignal 2022, August 24th - 26th, Dresden.
Romberger, Philipp; Warmuth, Monika; Uhl, Christian; Hüper, Knut (2022)
Proceedings of the Workshop Biosignal 2022, August 24th - 26th, Dresden .
Hochschule Ansbach
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