@inproceedings{iber_auditory_2019, address = {Nottingham, UNited Kingdom}, title = {Auditory {Augmented} {Reality} for {Cyber} {Physical} {Production} {Systems}}, isbn = {978-1-4503-7297-8}, doi = {10.1145/3356590.3356600}}, abstract = {We describe a proof-of-concept approach on the sonification of estimated operation states of 3D printing processes. The results of this study form the basis for the development of an “intelligent” noise protection headphone as part of Cyber Physical Production Systems, which provides auditorily augmented information to machine operators and enables radio communication between them. Further application areas are implementations in control rooms (equipped with multichannel loudspeaker systems) and utilization for training purposes. The focus of our research lies on situation-specific acoustic processing of conditioned machine sounds and operation related data with high information content, considering the often highly auditorily influenced working knowledge of skilled workers. As a proof-of-concept the data stream of error probability estimations regarding partly manipulated 3D printing processes was mapped to three sonification models, giving evidence about momentary operation states. The neural network applied indicates a high accuracy ({\textgreater}93\%) concerning error estimation distinguishing between normal and manipulated operation states. None of the manipulated states could be identified by listening. An auditory augmentation, respectively sonification of these error estimations provides a considerable benefit to process monitoring.}, booktitle = {{AudioMostly} ({AM}'19)}, publisher = {ACM New York, NY, USA}, author = {Iber, Michael and Lechner, Patrik and Jandl, Christian and Mader, Manuel and Reichmann, Michael}, year = {2019}, note = {Projekt: IML}, keywords = {Auditory Display, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Forschungsgruppe Media Creation, Immersive Media (AR, VR, 360°), Institut für Creative Media Technologies, Smart Manufacturing, Vortrag, best, best-lbiber, peer-reviewed, ⚠️ Invalid DOI}, } @misc{jakl_enlightening_2019, title = {Enlightening {Patients} with {Augmented} {Reality}}, abstract = {Medizinische Verfahren werden immer komplexer und sind für PatientInnen oft schwer zu verstehen. Gleichzeitig haben behandelnde ÄrztInnen oft nur wenig Zeit, den Prozess sowie die Risiken verständlich zu erklären. Die EPAR AR App soll Patienten die Möglichkeit geben, sich selbstständig und in ihrem eigenen Tempo aufzuklären.}, author = {Schöffer, Lucas and Schlager, Alexander}, collaborator = {Jakl, Andreas and Jalaeefar, Aryan and Baumann, Clemens and Lienhart, Anna and Mader, Manuel}, year = {2019}, note = {Projekt: IML}, keywords = {AR, Digital Health, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Creation, Immersive Media, Institut für Creative Media Technologies}, }