@misc{zeppelzauer_sonicontrol_2018, address = {Seoul, South Korea}, type = {Demo {Talk}}, title = {{SoniControl} - {A} {Mobile} {Ultrasonic} {Firewall}}, url = {http://arxiv.org/abs/1807.07617}, abstract = {The exchange of data between mobile devices in the near-ultrasonic frequency band is a new promising technology for near field communication (NFC) but also raises a number of privacy concerns. We present the first ultrasonic firewall that reliably detects ultrasonic communication and provides the user with effective means to prevent hidden data exchange. This demonstration showcases a new media-based communication technology ("data over audio") together with its related privacy concerns. It enables users to (i) interactively test out and experience ultrasonic information exchange and (ii) shows how to protect oneself against unwanted tracking.}, urldate = {2018-10-10}, author = {Zeppelzauer, Matthias and Ringot, Alexis and Taurer, Florian}, month = jul, year = {2018}, note = {arXiv: 1807.07617}, keywords = {2018, Center for Artificial Intelligence, Computer Science - Cryptography and Security, Computer Science - Multimedia, Department Medien und Digitale Technologien, Department Technologie, FH SP Cyber Security, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Machine Learning, Media Computing Group, Publikationstyp Präsentation, Wiss. Beitrag}, } @inproceedings{zeppelzauer_sonicontrol_2018-1, address = {Seoul, South Korea}, title = {{SoniControl} - {A} {Mobile} {Ultrasonic} {Firewall}}, url = {https://arxiv.org/abs/1807.07617}, doi = {10/gh377f}, abstract = {The exchange of data between mobile devices in the near-ultrasonic frequency band is a new promising technology for near field communication (NFC) but also raises a number of privacy concerns. We present the first ultrasonic firewall that reliably detects ultrasonic communication and provides the user with effective means to prevent hidden data exchange. This demonstration showcases a new media-based communication technology ("data over audio") together with its related privacy concerns. It enables users to (i) interactively test out and experience ultrasonic information exchange and (ii) shows how to protect oneself against unwanted tracking.}, urldate = {2018-10-10}, booktitle = {Proceedings of the {ACM} {International} {Conference} on {Multimedia}}, publisher = {ACM Press}, author = {Zeppelzauer, Matthias and Ringot, Alexis and Taurer, Florian}, year = {2018}, note = {arXiv: 1807.07617}, keywords = {Acoustic Cookies, Acoustic Firewall, Acoustic Tracking, Center for Artificial Intelligence, Computer Science - Cryptography and Security, Computer Science - Multimedia, FH SP Cyber Security, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Machine Learning, Media Computing Group, Ultrasound Data Transmission, Wiss. Beitrag, best, best-aringot, peer-reviewed}, } @inproceedings{oliveira_sambavis_2020, address = {Norrköping, Sweden}, title = {{SAMBAVis}: {Design} {Study} of a {Visual} {Analytics} {Tool} for the {Music} {Industry} {Powered} by {YouTube} {Comments}}, url = {https://doi.org/10/gjhw}, doi = {10/gjhw}, abstract = {Data from comments on social media platforms offer valuable information about trends and market changes. Aiming at the music industry, we propose SAMBAVis: a visual analytics tool to handle user-generated content from comments left on YouTube music videos. SAMBAVis displays main key performance indexes, video lifecycle, and engagement with comments. It also performs sentiment analysis and extracts the main keywords from the comments, expanding YouTube capabilities. In this paper, we contribute with a design study, explaining the development of SAMBAVis and the rationale of our design. We present a usage scenario and reflect on our methods and results when creating a visualization tool for experts in the music business.}, language = {en}, booktitle = {Eurovis 2020}, author = {Oliveira, Victor A. De J. and Stoiber, Christina and Grüblbauer, Johanna and Musik, Christoph and Ringot, Alexis and Gebesmair, Andreas}, year = {2020}, note = {Projekt: SAMBA}, keywords = {Data Science, Digital Media, Eintrag überprüfen, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Business, Forschungsgruppe Media Computing, Green OA, Human-Computer Interaction, Institut für Creative Media Technologies, Open Access, Visual Computing, peer-reviewed}, } @inproceedings{lequay_graphexploiter_2015, address = {New York, NY, USA}, title = {{GraphExploiter}: {Creation}, {Visualization} and {Algorithms} on {Graphs}}, isbn = {978-1-4503-3854-7}, url = {http://doi.acm.org/10.1145/2808797.2808803}, doi = {10/gh3752}, booktitle = {Proceedings of the 2015 {IEEE}/{ACM} {International} {Conference} on {Advances} in {Social} {Networks} {Analysis} and {Mining} 2015}, publisher = {ACM}, author = {Lequay, Victor and Ringot, Alexis and Haddad, Mohammed and Effantin, Brice and Kheddouci, Hamamache}, year = {2015}, keywords = {Extern}, pages = {765--767}, }