Jacob Leon Kröger

Jacob Leon Kröger
Technische Universität Berlin | TUB · Weizenbaum Institute for the Networked Society, Research Group 6: "Responsibility and the Internet of Things"

M.Sc.

About

17
Publications
14,671
Reads
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148
Citations
Introduction
I'm a PhD candidate at the Technische Universität Berlin and the Weizenbaum Institute for the Networked Society. My research focuses on the privacy implications of mobile and IoT devices. Based on published experimental research, existing commercial products and filed patents, I investigate the wealth of sensitive information that can be inferred from sensor data (e.g., eye tracking data, smart meter readings, voice recordings, accelerometer data).
Additional affiliations
January 2018 - present
Technische Universität Berlin
Position
  • Research Assistant
December 2016 - December 2017
Trustami
Position
  • Business Development Manager
June 2014 - December 2015
Sustainability Intelligence Ltd.
Position
  • Working Student
Education
February 2016 - November 2016
The University of Sydney
Field of study
  • Study Abroad (2 semesters), Business Administration and IT
September 2015 - November 2017
Technische Universität Berlin
Field of study
  • Industrial Engineering and Management (specialization: ICT)
September 2013 - May 2014
Dublin City University
Field of study
  • Study Abroad (2 semesters), DCU Business School

Publications

Publications (17)
Preprint
Full-text available
With many million users across all age groups and income levels, video games have become the world's leading entertainment industry. Behind the fun experience they provide, it goes largely unnoticed that modern game devices pose a serious threat to consumer privacy. To illustrate the industry's potential for illegitimate surveillance and user profi...
Preprint
Full-text available
Despite years of heavy criticism, privacy self-management (i.e., the principle that people individually manage their privacy via notice and choice) remains the standard of privacy protection throughout the Western world. Building on previous research, this article provides an overview and classification of the manifold obstacles that render privacy...
Conference Paper
Full-text available
Accelerometers are sensors for measuring acceleration forces. They can be found embedded in many types of mobile devices, including tablet PCs, smartphones, and smartwatches. Some common uses of built-in accelerometers are automatic image stabilization, device orientation detection, and shake detection. In contrast to sensors like microphones and c...
Chapter
Full-text available
Internet-connected devices, such as smartphones, smartwatches, and laptops, have become ubiquitous in modern life, reaching ever deeper into our private spheres. Among the sensors most commonly found in such devices are microphones. While various privacy concerns related to microphone-equipped devices have been raised and thoroughly discussed, the...
Chapter
Full-text available
Technologies to measure gaze direction and pupil reactivity have become efficient, cheap, and compact and are finding increasing use in many fields, including gaming, marketing, driver safety, military, and healthcare. Besides offering numerous useful applications, the rapidly expanding technology raises serious privacy concerns. Through the lens o...
Article
Full-text available
Through voice characteristics and manner of expression, even seemingly benign voice recordings can reveal sensitive attributes about a recorded speaker (e. g., geographical origin, health status, personality). We conducted a nationally representative survey in the UK (n = 683, 18-69 years) to investigate people's awareness about the inferential pow...
Preprint
Full-text available
Even after decades of intensive research and public debates, the topic of data privacy remains surrounded by confusion and misinformation. Many people still struggle to grasp the importance of privacy, which has far-reaching consequences for social norms, jurisprudence, and legislation. Discussions on personal data misuse often revolve around a few...
Chapter
Full-text available
Smartphones und Smartwatches, unsere täglichen mobilen Begleiter, stecken voller Sensoren, die viel über uns verraten können — viel mehr, als die meisten Nutzer:innen ahnen. Was das genau für Daten sind, die durch Sensoren erfasst werden, und welche Informationen sich daraus ableiten lassen, erforscht Autor Jacob Leon Kröger, Doktorand der Forschun...
Chapter
Full-text available
Smartphones and smartwatches, our daily mobile companions, are full of sensors that can reveal a lot about us – much more than most users realize. Author Jacob Leon Kröger, a doctoral student in the research group “Responsibility and the Internet of Things”, examines exactly what data is collected by sensors and what information can be derived from...
Chapter
The German Corona-Warn-App (CWA) is one of the most controversial tools to mitigate the Corona virus spread with roughly 25 million users. In this study, we investigate individuals’ knowledge about the CWA and associated privacy concerns alongside different demographic factors. For that purpose, we conducted a study with 1752 participants in German...
Conference Paper
Despite 2-factor authentication and other modern approaches, authentication by password is still the most commonly used method on the Internet. Unfortunately, as analyses show, many users still choose weak and easy-to-guess passwords. To alleviate the significant effects of this problem, systems often employ textual or graphical feedback to make th...
Conference Paper
Full-text available
EU data protection laws grant consumers the right to access the personal data that companies hold about them. In a first-of-its-kind longitudinal study, we examine how service providers have complied with subject access requests over four years. In three iterations between 2015 and 2019, we sent subject access requests to vendors of 225 mobile apps...
Conference Paper
Full-text available
Web tracking is found on 90 % of common websites. It allows online behavioral analysis which can reveal insights to sensitive personal data of an individual. Most users are not aware of the amout of web tracking happening in the background. This paper contributes a sonification-based approach to raise user awareness by conveying information on web...
Chapter
Full-text available
Besides various other privacy concerns with mobile devices, many people suspect their smartphones to be secretly eavesdropping on them. In particular, a large number of reports has emerged in recent years claiming that private conversations conducted in the presence of smartphones seemingly resulted in targeted online advertisements. These rumors h...
Conference Paper
Full-text available
Targeted advertising is an inherent part of the modern Web as we know it. For this purpose, personal data is collected at large scale to optimize and personalize displayed advertisements to increase the probability that we click them. Anonymity and privacy are also important aspects of the World Wide Web since its beginning. Activists and developer...
Conference Paper
Full-text available
A growing number of sensors, embedded in wearables, smart electric meters and other connected devices, is surrounding us and reaching ever deeper into our private lives. While some sensors are commonly regarded as privacy-sensitive and always require user permission to be activated, others are less protected and less worried about. However, experim...
Thesis
Full-text available
Die Onlinehandelsbranche befindet sich inmitten eines tiefgreifenden strukturellen Wandels, der durch verschiedene wirtschaftliche und technologische Trends getrieben wird. Da immer mehr Onlinehändler Schwierigkeiten haben, mit den neuesten Entwicklungen Schritt zu halten, wird von Experten bereits eine drastische Konsolidierung der jungen Branche...

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Projects

Projects (2)
Project
Through the lens of advanced data analytics, sensor data from everyday electronic devices can contain much more information than a user wishes and expects to reveal. Based on published experimental research, existing commercial products, and filed patents, we investigate the wealth of sensitive personal information that can be inferred from motion sensor data, smart meter readings, voice recordings, and eye tracking data. We hope that the knowledge compiled through this project can serve as a basis for consumer education and will help lawmakers and fellow researchers in assessing the richness and potential sensitivity of sonsor data from mobile and IoT devices.
Project
Sonification is an interdisciplinary research on the use of sound (usually non-speech audio) to convey information or perceptualize data. Our research focuses on examining how sonic feedback on privacy-related concerns during user interaction can increase privacy awareness. A major challenge of this research is translating the complexity and richness of privacy-related data into meaningful sonic events which can be understood by the user without costing too much mental effort. We develop and study diverse sonification artifacts which transform data into sound, combining computer science with psychology and an artistic approach.