Forschung — Startseite

Die Usable Security and Privacy Group erforscht das Design von sicheren Systemen, die sich an die Art und Weise anpassen, wie Benutzer mit Computergeräten interagieren. Unsere Forschung konzentriert sich insbesondere auf Behavioral Biometrics, Social Engineering, Usable Security in Smart Homes, Novel Authentication Concepts, Physiological Security und Security in Mixed Reality.

Wir sind auch an geförderten Projekten beteiligt, wie ubihave (DFG), Biometrics++ (ZD.B), Scalable Biometrics (DFG), Voice of Wisdom (DTEC) und MuQuaNet (DTEC).

Um die (Nachwuchs-)Forschung mit entsprechender Hardware unterstützen zu können, leitet unsere Gruppe ebenfalls das BehAVRLab.

Eine Auswahl individueller Forschungsprojekte finden Sie hier.

PriView

We present and evaluate a concept to visualize privacy-invasive devices in users’ vicinity. In particular, we contribute (a) a mobile application, capable of detecting smart devices using a thermal camera and (b) a VR application presenting suitable scenarios

Effects of Body Normalizations on Behavioral Biometrics

In this paper we investigate how well users can be identified in VR in realistic, task-driven scenarios using spatial movements. In particular, we investigate the role of users’ physiology by virtually altering and normalizing their body proportions, showing that by doing so the identification accuracy can be enhanced by 38%.

SpatialProto

This paper presents SpatialProto, an in-situ spatial prototyping system for mixed reality, which lowers the barrier for designers to engage in spatial prototyping. SpatialProto lets users record animated objects of the real world, extract relevant elements, and directly place and transform these recordings in their physical environment.

Hidden Interactions

We present and explore the concept of hidden interaction techniques which supports interaction in situations in which the use of personal devices is not socially acceptable or where nearby people present a privacy risk. In particular, two applications are presented and evaluated. HiddenHaptic conveys information through vibrotactile cues on smartphones. HiddenWrite allows text messages to be composed on smart watches.

Behavioral Biometrics in VR

We investigate body motion as behavioural biometrics for virtual reality. In particular, we look into which behaviour is suitable to identify a user.

ARtention

We present ARtention, a design space for gaze interaction specifically tailored for in-situ AR information interfaces. It highlights three important dimensions to consider in the UI design of such gaze-enabled applications: transitions from reality to the virtual interface, from single- to multi-layer content, and from information consumption to selection tasks.

TangibleSphere

We demonstrate how this physicality can be brought to VR by means of TangibleSphere – a tracked, low-cost physical object that can (a) be rotated freely and (b) is overlaid with a virtual display.

Intentional Behavior Modifications

This paper presents the first study on understanding users’ ability to modify their typing behaviour when entering passwords on smartphones.

Device Confidence and Re-Authentication in Continuous Authentication

We developed a novel approach to enable users to anticipate the need for re-authentication with two indicators: (1) a long term indicator shows the current DCL and its development over time, and (2) a short term indicator announces that re-authentication is imminent.

EyeGaze in Security and Privacy Applications

We present a holistic view on gaze-based security applications. In particular, we canvassed the literature and classify the utility of gaze in security applications into a) authentication, b) privacy protection, and c) gaze monitoring during security critical tasks.

Virtual Field Studies

We investigate the feasibility of using virtual reality (VR) as a test-bed to evaluate deployments of public displays. Specifically, we investigate whether results from virtual field studies, conducted in a virtual public space, would match the results from a corresponding real-world setting.

Designing Voice Assistant Personalities for Automotive UIs

This paper investigates personalized voice characters for incar speech interfaces. In particular, we report on how we designed different personalities for voice assistants and compared them in a real world driving study.

Personal Mobile Messaging in Context

We augment text messaging with information about users and contexts. We present and reflect on lessons learned from three field studies, in which we deployed augmentation concepts as prototype chat apps in users’ daily lives.