Designing for Collaborative Non-Driving-Related Activities in Future Cars:Fairness and Team Performance

With the gradual transition towards assisted and automated driving, the car will transform into a more social environment where passengers and drivers engage in Non-Driving-Related Activities (NDRA). To support collaboration among occupants in future vehicles, research suggests interactive systems controlled by several users at once. In this paper, we explore five concepts for the collaborative performance of NDRA with the use-case of music playlist creation. While prior work investigated the effect on social connectedness, we expand insights towards team performance and fairness. Results from a mixed-subject experiment (N=27) show that the concepts have major consequences on team performance and fairness. Certain concepts can promote or hinder coordination effectiveness and, in turn, impact intra-vehicular collaboration. Our observations also indicate that fairness is key to fostering social collaboration in AVs, while it does not naturally define a high team performance. Subsequently, we provide recommendations to guide future designs of collaborative NDRAs in vehicles.</p

A comparative study of speculative retrieval for multi-modal data trails: towards user-friendly Human-Vehicle interactions

In the era of growing developments in Autonomous Vehicles, the importance of Human-Vehicle Interaction has become apparent. However, the requirements of retrieving in-vehicle drivers’ multi- modal data trails, by utilizing embedded sensors, have been consid- ered user unfriendly and impractical. Hence, speculative designs, for in-vehicle multi-modal data retrieval, has been demanded for future personalized and intelligent Human-Vehicle Interaction. In this paper, we explore the feasibility to utilize facial recog- nition techniques to build in-vehicle multi-modal data retrieval. We first perform a comprehensive user study to collect relevant data and extra trails through sensors, cameras and questionnaire. Then, we build the whole pipeline through Convolution Neural Net- works to predict multi-model values of three particular categories of data, which are Heart Rate, Skin Conductance and Vehicle Speed, by solely taking facial expressions as input. We further evaluate and validate its effectiveness within the data set, which suggest the promising future of Speculative Designs for Multi-modal Data Retrieval through this approach

Context-Dependent Information Elements in the Car: Explorative Analysis of Static and Dynamic Head-Up-Displays

Head-up-displays (HUDs) illustrate a particular static number of information elements in the driver’s primary field of view. Since the display can obscure the reality, a dynamic HUD presents context-dependent information elements. To become familiar with a user-optimal number of information elements and its essential information elements, we conducted a user study with n = 183 participants. We focused the context on an urban, a rural and a highway trip. Afterwards, a within-subject experiment using a high-fidelity driving simulator (n = 27) reveals the following: Dynamic HUDs significantly lower the average over speeding by 3.45 km/h compared to static HUDs. This speed above the speed limit equals 15.33% of the average speed in urban areas. Steering angle and speed can capture the context. Practitioners can use these findings to decrease the number of information elements in HUDs, thereby possibly increasing traffic safety

Towards a Taxonomy for In-Vehicle Interactions Using Wearable Smart Textiles: Insights from a User-Elicitation Study

Textiles are a vital and indispensable part of our clothing that we use daily. They are very flexible, often lightweight, and have a variety of application uses. Today, with the rapid developments in small and flexible sensing materials, textiles can be enhanced and used as input devices for interactive systems. Clothing-based wearable interfaces are suitable for in-vehicle controls. They can combine various modalities to enable users to perform simple, natural, and efficient interactions while minimizing any negative effect on their driving. Research on clothing-based wearable in-vehicle interfaces is still underexplored. As such, there is a lack of understanding of how to use textile-based input for in-vehicle controls. As a first step towards filling this gap, we have conducted a user-elicitation study to involve users in the process of designing in-vehicle interactions via a fabric-based wearable device. We have been able to distill a taxonomy of wrist and touch gestures for in-vehicle interactions using a fabric-based wrist interface in a simulated driving setup. Our results help drive forward the investigation of the design space of clothing-based wearable interfaces for in-vehicle secondary interactions.</jats:p

A comparative study of speculative retrieval for multi-modal data trails: towards user-friendly Human-Vehicle interactions

In the era of growing developments in Autonomous Vehicles, the importance of Human-Vehicle Interaction has become apparent. However, the requirements of retrieving in-vehicle drivers’ multi- modal data trails, by utilizing embedded sensors, have been consid- ered user unfriendly and impractical. Hence, speculative designs, for in-vehicle multi-modal data retrieval, has been demanded for future personalized and intelligent Human-Vehicle Interaction. In this paper, we explore the feasibility to utilize facial recog- nition techniques to build in-vehicle multi-modal data retrieval. We first perform a comprehensive user study to collect relevant data and extra trails through sensors, cameras and questionnaire. Then, we build the whole pipeline through Convolution Neural Net- works to predict multi-model values of three particular categories of data, which are Heart Rate, Skin Conductance and Vehicle Speed, by solely taking facial expressions as input. We further evaluate and validate its effectiveness within the data set, which suggest the promising future of Speculative Designs for Multi-modal Data Retrieval through this approach

Move, hold and touch: A framework for Tangible gesture interactive systems

© 2015 by the authors. Technology is spreading in our everyday world, and digital interaction beyond the screen, with real objects, allows taking advantage of our natural manipulative and communicative skills. Tangible gesture interaction takes advantage of these skills by bridging two popular domains in Human-Computer Interaction, tangible interaction and gestural interaction. In this paper, we present the Tangible Gesture Interaction Framework (TGIF) for classifying and guiding works in this field. We propose a classification of gestures according to three relationships with objects: move, hold and touch. Following this classification, we analyzed previous work in the literature to obtain guidelines and common practices for designing and building new tangible gesture interactive systems. We describe four interactive systems as application examples of the TGIF guidelines and we discuss the descriptive, evaluative and generative power of TGIF

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

PhysioKit: An Open-Source, Low-Cost Physiological Computing Toolkit for Single- and Multi-User Studies

The proliferation of physiological sensors opens new opportunities to explore interactions, conduct experiments and evaluate the user experience with continuous monitoring of bodily functions. Commercial devices, however, can be costly or limit access to raw waveform data, while low-cost sensors are efforts-intensive to setup. To address these challenges, we introduce PhysioKit, an open-source, low-cost physiological computing toolkit. PhysioKit provides a one-stop pipeline consisting of (i) a sensing and data acquisition layer that can be configured in a modular manner per research needs, and (ii) a software application layer that enables data acquisition, real-time visualization and machine learning (ML)-enabled signal quality assessment. This also supports basic visual biofeedback configurations and synchronized acquisition for co-located or remote multi-user settings. In a validation study with 16 participants, PhysioKit shows strong agreement with research-grade sensors on measuring heart rate and heart rate variability metrics data. Furthermore, we report usability survey results from 10 small-project teams (44 individual members in total) who used PhysioKit for 4–6 weeks, providing insights into its use cases and research benefits. Lastly, we discuss the extensibility and potential impact of the toolkit on the research community