H
Heinrich Hussmann
Researcher at Ludwig Maximilian University of Munich
Publications - 188
Citations - 5571
Heinrich Hussmann is an academic researcher from Ludwig Maximilian University of Munich. The author has contributed to research in topics: Usability & Authentication. The author has an hindex of 36, co-authored 174 publications receiving 4549 citations. Previous affiliations of Heinrich Hussmann include Association for Computing Machinery & Dresden University of Technology.
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Proceedings ArticleDOI
Touch me once and i know it's you!: implicit authentication based on touch screen patterns
TL;DR: In this article, an implicit authentication approach that enhances password patterns with an additional security layer, transparent to the user, is introduced, where users are not only authenticated by the shape they input but also by the way they perform the input.
Touch me once and I know it's you! Implicit Authentication Based on Touch Screen
TL;DR: An implicit authentication approach is introduced that enhances password patterns with an additional security layer, transparent to the user, so that users are not only authenticated by the shape they input but also by the way they perform the input.
Journal ArticleDOI
Perci: Pervasive Service Interaction with the Internet of Things
Gregor Broll,Enrico Rukzio,Massimo Paolucci,Matthias Wagner,Albrecht Schmidt,Heinrich Hussmann +5 more
TL;DR: The authors' evaluation identifies usability issues regarding the design of physical mobile interactions, interfaces, and applications and their framework for integrating Web services and mobile interaction with physical objects relies on information typing to increase interoperability.
JournalDOI
Scientific Reasoning and Argumentation: Advancing an Interdisciplinary Research Agenda in Education
Frank Fischer,Ingo Kollar,Stefan Ufer,Beate Sodian,Heinrich Hussmann,Reinhard Pekrun,Birgit J. Neuhaus,Birgit Dorner,Sabine Pankofer,Martin R. Fischer,Jan-Willem Strijbos,Moritz Heene,Julia Eberle +12 more
TL;DR: In this paper, the main topics and key findings of three different strands of research are reviewed, namely research on the development of scientific reasoning, research on scientific argumentation, and research on approaches to support scientific reasoning and argumentation.
Journal ArticleDOI
Predicting personality from patterns of behavior collected with smartphones.
Clemens Stachl,Quay Au,Ramona Schoedel,Samuel D. Gosling,Samuel D. Gosling,Gabriella M. Harari,Daniel Buschek,Sarah Theres Völkel,Tobias Schuwerk,Michelle Oldemeier,Theresa Ullmann,Heinrich Hussmann,Bernd Bischl,Markus Bühner +13 more
TL;DR: Cross-validated results reveal that specific patterns in behaviors in the domains of 1) communication and social behavior, 2) music consumption, 3) app usage, 4) mobility, 5) overall phone activity, and 6) day- and night-time activity are distinctively predictive of the Big Five personality traits.