Developing Advanced Privacy Protection Mechanisms for Connected Automotive User Experiences

The transportation industry is experiencing an unprecedented revolution. This revolution is being led by the rapid development of connected and automated vehicle (CAV) technologies together with cloud-based mobility services featured with huge amount of data being generated, collected,and utilized. This big data trend provides not only business opportunities but also challenges. One of the challenges is data privacy which is inherently unavoidable due to the information sharing nature of such mobility services and the advancement in data analytics. In this thesis, privacy issues and corresponding countermeasure that related to connected vehicle landscape are comprehensively studied. First of all, an overview of the landscape of emerging mobility services is provided and several typical connected vehicle services are introduced. Then we analyze and characterize data that can be collected and shared in these services and point out potential privacy risks. In order to protect user privacy while ensuring service functionality, we develop novel privacy protection mechanisms for connected automotive user experiences. Specifically, we consider the whole life cycle of data collection and sharing. To support privacy preserving data collection, we design fine-grained and privacy-aware data uploading policies that ensure the balance between enforcing privacy requirements and keeping data utility, and implement a prototype that collects data from vehicle, smartphone, and smartwatch securely. To support privacy preserving data sharing, we demonstrate two kinds of risks, additional individual information inference and user de-anonymization, during data sharing through concrete attack designs. We also propose corresponding countermeasures to defend against such attacks and minimize user privacy risks. The feasibility of such attacks and our defense strategies are evaluated with real world vehicular data.Master of ScienceComputer and Information Science, College of Engineering & Computer ScienceUniversity of Michigan-Dearbornhttps://deepblue.lib.umich.edu/bitstream/2027.42/143518/1/thesis_Huaxin_Apr24_FontEmbed.pdfDescription of thesis_Huaxin_Apr24_FontEmbed.pdf : Thesi

Respiration-Based COPD Detection Using UWB Radar Incorporation with Machine Learning

COPD is a progressive disease that may lead to death if not diagnosed and treated at an early stage. The examination of vital signs such as respiration rate is a promising approach for the detection of COPD. However, simultaneous consideration of the demographic and medical characteristics of patients is very important for better results. The objective of this research is to investigate the capability of UWB radar as a non-invasive approach to discriminate COPD patients from healthy subjects. The non-invasive approach is beneficial in pandemics such as the ongoing COVID-19 pandemic, where a safe distance between people needs to be maintained. The raw data are collected in a real environment (a hospital) non-invasively from a distance of 1.5 m. Respiration data are then extracted from the collected raw data using signal processing techniques. It was observed that the respiration rate of COPD patients alone is not enough for COPD patient detection. However, incorporating additional features such as age, gender, and smoking history with the respiration rate lead to robust performance. Different machine-learning classifiers, including Naïve Bayes, support vector machine, random forest, k nearest neighbor (KNN), Adaboost, and two deep-learning models—a convolutional neural network and a long short-term memory (LSTM) network—were utilized for COPD detection. Experimental results indicate that LSTM outperforms all employed models and obtained 93% accuracy. Performance comparison with existing studies corroborates the superior performance of the proposed approach

Prediction of drivers’ performance in highly automated vehicles

Purpose: The aim of this research was to assess the predictability of driver’s response to critical hazards during the transition from automated to manual driving in highly automated vehicles using their physiological data.Method: A driving simulator experiment was conducted to collect drivers’ physiological data before, during and after the transition from automated to manual driving. A total of 33 participants between 20 and 30 years old were recruited. Participants went through a driving scenario under the influence of different non-driving related tasks. The repeated measures approach was used to assess the effect of repeatability on the driver’s physiological data. Statistical and machine learning methods were used to assess the predictability of drivers’ response quality based on their physiological data collected before responding to a critical hazard. Findings: - The results showed that the observed physiological data that was gathered before the transition formed strong indicators of the drivers’ ability to respond successfully to a potential hazard after the transition. In addition, physiological behaviour was influenced by driver’s secondary tasks engagement and correlated with the driver’s subjective measures to the difficulty of the task. The study proposes new quality measures to assess the driver’s response to critical hazards in highly automated driving. Machine learning results showed that response time is predictable using regression methods. In addition, the classification methods were able to classify drivers into low, medium and high-risk groups based on their quality measures values. Research Implications: Proposed models help increase the safety of automated driving systems by providing insights into the drivers’ ability to respond to future critical hazards. More research is required to find the influence of age, drivers’ experience of the automated vehicles and traffic density on the stability of the proposed models. Originality: The main contribution to knowledge of this study is the feasibility of predicting drivers’ ability to respond to critical hazards using the physiological behavioural data collected before the transition from automated to manual driving. With the findings, automation systems could change the transition time based on the driver’s physiological state to allow for the safest transition possible. In addition, it provides an insight into driver’s readiness and therefore, allows the automated system to adopt the correct driving strategy and plan to enhance drivers experience and make the transition phase safer for everyone.</div

Intelligent Biosignal Analysis Methods

This book describes recent efforts in improving intelligent systems for automatic biosignal analysis. It focuses on machine learning and deep learning methods used for classification of different organism states and disorders based on biomedical signals such as EEG, ECG, HRV, and others

Design Principles of Mobile Information Systems in the Digital Transformation of the Workplace - Utilization of Smartwatch-based Information Systems in the Corporate Context

During the last decades, smartwatches emerged as an innovative and promising technology and hit the consumer market due to the accessibility of affordable devices and predominant acceptance caused by the considerable similarity to common wristwatches. With the unique characteristics of permanent availability, unobtrusiveness, and hands-free operation, they can provide additional value in the corporate context. Thus, this thesis analyzes use cases for smartwatches in companies, elaborates on the design of smartwatch-based information systems, and covers the usability of smartwatch applications during the development of smartwatch-based information systems. It is composed of three research complexes. The first research complex focuses on the digital assistance of (mobile) employees who have to execute manual work and have been excluded so far from the benefits of the digitalization since they cannot operate hand-held devices. The objective is to design smartwatch-based information systems to support workflows in the corporate context, facilitate the daily work of numerous employees, and make processes more efficient for companies. During a design science research approach, smartwatch-based software artifacts are designed and evaluated in use cases of production, support, security service, as well as logistics, and a nascent design theory is proposed to complement theory according to mobile information system research. The evaluation shows that, on the one hand, smartwatches have enormous potential to assist employees with a fast and ubiquitous exchange of information, instant notifications, collaboration, and workflow guidance while they can be operated incidentally during manual work. On the other hand, the design of smartwatch-based information systems is a crucial factor for successful long-term deployment in companies, and especially limitations according to the small form-factor, general conditions, acceptance of the employees, and legal regulations have to be addressed appropriately. The second research complex addresses smartwatch-based information systems at the office workplace. This broadens and complements the view on the utilization of smartwatches in the corporate context in addition to the mobile context described in the first research complex. Though smartwatches are devices constructed for mobile use, the utilization in low mobile or stationary scenarios also has benefits due they exhibit the characteristic of a wearable computer and are directly connected to the employee’s body. Various sensors can perceive employee-, environment- and therefore context-related information and demand the employees’ attention with proactive notifications that are accompanied by a vibration. Thus, a smartwatch-based and gamified information system for health promotion at the office workplace is designed and evaluated. Research complex three provides a closer look at the topic of usability concerning applications running on smartwatches since it is a crucial factor during the development cycle. As a supporting element for the studies within the first and second research complex, a framework for the usability analysis of smartwatch applications is developed. For research, this thesis contributes a systemization of the state-of-the-art of smartwatch utilization in the corporate context, enabling and inhibiting influence factors of the smartwatch adoption in companies, and design principles as well as a nascent design theory for smartwatch-based information systems to support mobile employees executing manual work. For practice, this thesis contributes possible use cases for smartwatches in companies, assistance in decision-making for the introduction of smartwatch-based information systems in the corporate context with the Smartwatch Applicability Framework, situated implementations of a smartwatch-based information system for typical use cases, design recommendations for smartwatch-based information systems, an implementation of a smartwatch-based information system for the support of mobile employees executing manual work, and a usability-framework for smartwatches to automatically access usability of existing applications providing suggestions for usability improvement

Experience Prototyping for Automotive Applications

In recent years, we started to define our life through experiences we make instead of objectswe buy. To attend a concert of our favorite musician may be more important for us thanowning an expensive stereo system. Similarly, we define interactive systems not only by thequality of the display or its usability, but rather by the experiences we can make when usingthe device. A cell phone is primarily built for making calls and receiving text messages,but on an emotional level it might provide a way to be close to our loved ones, even thoughthey are far away sometimes. When designing interactive technology, we do not only haveto answer the question how people use our systems, but also why they use them. Thus,we need to concentrate on experiences, feelings and emotions arising during interaction.Experience Design is an approach focusing on the story that a product communicates beforeimplementing the system. In an interdisciplinary team of psychologists, industrial designers, product developers andspecialists in human-computer interaction, we applied an Experience Design process to theautomotive domain. A major challenge for car manufacturers is the preservation of theseexperiences throughout the development process. When implementing interactive systemsengineers rely on technical requirements and a set of constraints (e.g., safety) oftentimescontradicting aspects of the designed experience. To resolve this conflict, Experience Prototypingis an important tool translating experience stories to an actual interactive product. With this thesis I investigate the Experience Design process focusing on Experience Prototyping.Within the automotive context, I report on three case studies implementing threekinds of interactive systems, forming and following our approach. I implemented (1) anelectric vehicle information system called Heartbeat, communicating the state of the electricdrive and the batteries to the driver in an unobtrusive and ensuring way. I integrated Heartbeatinto the dashboard of a car mock-up with respect to safety and space requirements butat the same time holding on to the story in order to achieve a consistent experience. With (2)the Periscope I implemented a mobile navigation device enhancing the social and relatednessexperiences of the passengers in the car. I built and evaluated several experience prototypesin different stages of the design process and showed that they transported the designed experiencethroughout the implementation of the system. Focusing on (3) the experience offreehand gestures, GestShare explored this interaction style for in-car and car-to-car socialexperiences. We designed and implemented a gestural prototypes for small but effectivesocial interactions between drivers and evaluated the system in the lab and and in-situ study. The contributions of this thesis are (1) a definition of Experience Prototyping in the automotivedomain resulting from a literature review and my own work, showing the importanceand feasibility of Experience Prototyping for Experience Design. I (2) contribute three casestudies and describe the details of several prototypes as milestones on the way from a anexperience story to an interactive system. I (3) derive best practices for Experience Prototypingconcerning their characteristics such as fidelity, resolution and interactivity as well asthe evaluation in the lab an in situ in different stages of the process.Wir definieren unser Leben zunehmend durch Dinge, die wir erleben und weniger durchProdukte, die wir kaufen. Ein Konzert unseres Lieblingsmusikers zu besuchen kann dabeiwichtiger sein, als eine teure Stereoanlage zu besitzen. Auch interaktive Systeme bewertenwir nicht mehr nur nach der Qualität des Displays oder der Benutzerfreundlichkeit, sondernauch nach Erlebnissen, die durch die Benutzung möglich werden. Das Smartphone wurdehauptsächlich zum Telefonieren und Schreiben von Nachrichten entwickelt. Auf einer emotionalenEbene bietet es uns aber auch eine Möglichkeit, wichtigen Personen sehr nah zusein, auch wenn sie manchmal weit weg sind. Bei der Entwicklung interaktiver Systememüssen wir uns daher nicht nur fragen wie, sondern auch warum diese benutzt werden. Erlebnisse,Gefühle und Emotionen, die während der Interaktion entstehen, spielen dabei einewichtige Rolle. Experience Design ist eine Disziplin, die sich auf Geschichten konzentriert,die ein Produkt erzählt, bevor es tatsächlich implementiert wird. In einem interdisziplinären Team aus Psychologen, Industrie-Designern, Produktentwicklernund Spezialisten der Mensch-Maschine-Interaktion wurde ein Prozess zur Erlebnis-Gestaltung im automobilen Kontext angewandt. Die Beibehaltung von Erlebnissen über dengesamten Entwicklungsprozess hinweg ist eine große Herausforderung für Automobilhersteller.Ingenieure hängen bei der Implementierung interaktiver Systeme von technischen,sicherheitsrelevanten und ergonomischen Anforderungen ab, die oftmals dem gestaltetenErlebnis widersprechen. Die Bereitstellung von Erlebnis-Prototypen ermöglicht die Übersetzungvon Geschichten in interaktive Produkte und wirkt daher diesem Konflikt entgegen. Im Rahmen dieser Dissertation untersuche ich den Prozess zur Erlebnis-Gestaltung hinsichtlichder Bedeutung von Erlebnis-Prototypen. Ich berichte von drei Fallbeispielen im automobilenBereich, die die Gestaltung und Implementierung verschiedener interaktiver Systemenumfassen. (1) Ein Informationssystem für Elektrofahrzeuge, der Heartbeat, macht den Zustanddes elektrischen Antriebs und den Ladestand der Batterien für den Fahrer visuell undhaptisch erlebbar. Nach der Implementierung mehrerer Prototypen wurde Heartbeat unterBerücksichtigung verschiedener technischer und sicherheitsrelevanter Anforderungen in dieArmaturen eines Fahrzeugmodells integriert, ohne dass dabei das gestaltete Erlebnis verlorengegangen ist. (2) Das Periscope ist ein mobiles Navigationsgerät, das den Insassensoziale Erlebnisse ermöglicht und das Verbundenheitsgefühl stärkt. Durch die Implementierungmehrere Erlebnis-Prototypen und deren Evaluation in verschiedenen Phasen des Entwicklungsprozesseskonnten die gestalteten Erlebnisse konsistent erhalten werden. (3) ImProjekt GestShare wurde das Potential der Interaktion durch Freiraumgesten im Fahrzeuguntersucht. Dabei standen ein Verbundenheitserlebnis des Fahrers und soziale Interaktionenmit Fahrern anderer Fahrzeuge im Fokus. Es wurden mehrere Prototypen implementiert undauch in einer Verkehrssituation evaluiert. Die wichtigsten Beiträge dieser Dissertation sind (1) eine intensive Betrachtung und Anwendungvon Erlebnis-Prototypen im Auto und deren Relevanz bei der Erlebnis-Gestaltung,beruhend auf einer Literaturauswertung und der eigenen Erfahrung innerhalb des Projekts; (2) drei Fallstudien und eine detaillierte Beschreibung mehrere Prototypen in verschiedenenPhasen des Prozesses und (3) Empfehlungen zu Vorgehensweisen bei der Erstellung vonErlebnis-Prototypen hinsichtlich der Eigenschaften wie Nähe zum finalen Produkt, Anzahlder implementierten Details und Interaktivität sowie zur Evaluation im Labor und in tatsächlichenVerkehrssituationen in verschiedenen Phasen des Entwicklungsprozesses

Emerging ExG-based NUI Inputs in Extended Realities : A Bottom-up Survey

Incremental and quantitative improvements of two-way interactions with extended realities (XR) are contributing toward a qualitative leap into a state of XR ecosystems being efficient, user-friendly, and widely adopted. However, there are multiple barriers on the way toward the omnipresence of XR; among them are the following: computational and power limitations of portable hardware, social acceptance of novel interaction protocols, and usability and efficiency of interfaces. In this article, we overview and analyse novel natural user interfaces based on sensing electrical bio-signals that can be leveraged to tackle the challenges of XR input interactions. Electroencephalography-based brain-machine interfaces that enable thought-only hands-free interaction, myoelectric input methods that track body gestures employing electromyography, and gaze-tracking electrooculography input interfaces are the examples of electrical bio-signal sensing technologies united under a collective concept of ExG. ExG signal acquisition modalities provide a way to interact with computing systems using natural intuitive actions enriching interactions with XR. This survey will provide a bottom-up overview starting from (i) underlying biological aspects and signal acquisition techniques, (ii) ExG hardware solutions, (iii) ExG-enabled applications, (iv) discussion on social acceptance of such applications and technologies, as well as (v) research challenges, application directions, and open problems; evidencing the benefits that ExG-based Natural User Interfaces inputs can introduceto the areaof XR.Peer reviewe

Emerging ExG-based NUI Inputs in Extended Realities : A Bottom-up Survey

Incremental and quantitative improvements of two-way interactions with extended realities (XR) are contributing toward a qualitative leap into a state of XR ecosystems being efficient, user-friendly, and widely adopted. However, there are multiple barriers on the way toward the omnipresence of XR; among them are the following: computational and power limitations of portable hardware, social acceptance of novel interaction protocols, and usability and efficiency of interfaces. In this article, we overview and analyse novel natural user interfaces based on sensing electrical bio-signals that can be leveraged to tackle the challenges of XR input interactions. Electroencephalography-based brain-machine interfaces that enable thought-only hands-free interaction, myoelectric input methods that track body gestures employing electromyography, and gaze-tracking electrooculography input interfaces are the examples of electrical bio-signal sensing technologies united under a collective concept of ExG. ExG signal acquisition modalities provide a way to interact with computing systems using natural intuitive actions enriching interactions with XR. This survey will provide a bottom-up overview starting from (i) underlying biological aspects and signal acquisition techniques, (ii) ExG hardware solutions, (iii) ExG-enabled applications, (iv) discussion on social acceptance of such applications and technologies, as well as (v) research challenges, application directions, and open problems; evidencing the benefits that ExG-based Natural User Interfaces inputs can introduceto the areaof XR.Peer reviewe

Quantified vehicles: data, services, ecosystems

Advancing digitalization has shown the potential of so-called Quantified Vehicles for gathering valuable sensor data about the vehicle itself and its environment. Consequently, (vehicle) Data has become an important resource, which can pave the way to (Data-driven) Services. The (Data-driven Service) Ecosystem of actors that collaborate to ultimately generate services, has only shaped up in recent years. This cumulative dissertation summarizes the author's contributions and includes a synopsis as well as 14 peer-reviewed publications, which contribute to answer the three research questions.Die Digitalisierung hat das Potenzial für Quantified Vehicles aufgezeigt, um Sensordaten über das Fahrzeug selbst und seine Umgebung zu sammeln. Folglich sind (Fahrzeug-)Daten zu einer wichtigen Ressource der Automobilindustrie geworden, da sie auch (datengetriebene) Services ermöglichen. Es bilden sich Ökosysteme von Akteuren, die zusammenarbeiten, um letztlich Services zu generieren. Diese kumulative Dissertation fasst die Beiträge des Autors zusammen und enthält eine Synopsis sowie 14 begutachtete Veröffentlichungen, die zur Beantwortung der drei Forschungsfragen beitragen

Human Health Engineering Volume II

In this Special Issue on “Human Health Engineering Volume II”, we invited submissions exploring recent contributions to the field of human health engineering, i.e., technology for monitoring the physical or mental health status of individuals in a variety of applications. Contributions could focus on sensors, wearable hardware, algorithms, or integrated monitoring systems. We organized the different papers according to their contributions to the main parts of the monitoring and control engineering scheme applied to human health applications, namely papers focusing on measuring/sensing physiological variables, papers highlighting health-monitoring applications, and examples of control and process management applications for human health. In comparison to biomedical engineering, we envision that the field of human health engineering will also cover applications for healthy humans (e.g., sports, sleep, and stress), and thus not only contribute to the development of technology for curing patients or supporting chronically ill people, but also to more general disease prevention and optimization of human well-being