1,981 research outputs found

    Novel Multimodal Feedback Techniques for In-Car Mid-Air Gesture Interaction

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    This paper presents an investigation into the effects of different feedback modalities on mid-air gesture interaction for infotainment systems in cars. Car crashes and near-crash events are most commonly caused by driver distraction. Mid-air interaction is a way of reducing driver distraction by reducing visual demand from infotainment. Despite a range of available modalities, feedback in mid-air gesture systems is generally provided through visual displays. We conducted a simulated driving study to investigate how different types of multimodal feedback can support in-air gestures. The effects of different feedback modalities on eye gaze behaviour, and the driving and gesturing tasks are considered. We found that feedback modality influenced gesturing behaviour. However, drivers corrected falsely executed gestures more often in non-visual conditions. Our findings show that non-visual feedback can reduce visual distraction significantl

    The cockpit for the 21st century

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    Interactive surfaces are a growing trend in many domains. As one possible manifestation of Mark Weiser’s vision of ubiquitous and disappearing computers in everywhere objects, we see touchsensitive screens in many kinds of devices, such as smartphones, tablet computers and interactive tabletops. More advanced concepts of these have been an active research topic for many years. This has also influenced automotive cockpit development: concept cars and recent market releases show integrated touchscreens, growing in size. To meet the increasing information and interaction needs, interactive surfaces offer context-dependent functionality in combination with a direct input paradigm. However, interfaces in the car need to be operable while driving. Distraction, especially visual distraction from the driving task, can lead to critical situations if the sum of attentional demand emerging from both primary and secondary task overextends the available resources. So far, a touchscreen requires a lot of visual attention since its flat surface does not provide any haptic feedback. There have been approaches to make direct touch interaction accessible while driving for simple tasks. Outside the automotive domain, for example in office environments, concepts for sophisticated handling of large displays have already been introduced. Moreover, technological advances lead to new characteristics for interactive surfaces by enabling arbitrary surface shapes. In cars, two main characteristics for upcoming interactive surfaces are largeness and shape. On the one hand, spatial extension is not only increasing through larger displays, but also by taking objects in the surrounding into account for interaction. On the other hand, the flatness inherent in current screens can be overcome by upcoming technologies, and interactive surfaces can therefore provide haptically distinguishable surfaces. This thesis describes the systematic exploration of large and shaped interactive surfaces and analyzes their potential for interaction while driving. Therefore, different prototypes for each characteristic have been developed and evaluated in test settings suitable for their maturity level. Those prototypes were used to obtain subjective user feedback and objective data, to investigate effects on driving and glance behavior as well as usability and user experience. As a contribution, this thesis provides an analysis of the development of interactive surfaces in the car. Two characteristics, largeness and shape, are identified that can improve the interaction compared to conventional touchscreens. The presented studies show that large interactive surfaces can provide new and improved ways of interaction both in driver-only and driver-passenger situations. Furthermore, studies indicate a positive effect on visual distraction when additional static haptic feedback is provided by shaped interactive surfaces. Overall, various, non-exclusively applicable, interaction concepts prove the potential of interactive surfaces for the use in automotive cockpits, which is expected to be beneficial also in further environments where visual attention needs to be focused on additional tasks.Der Einsatz von interaktiven OberflĂ€chen weitet sich mehr und mehr auf die unterschiedlichsten Lebensbereiche aus. Damit sind sie eine mögliche AusprĂ€gung von Mark Weisers Vision der allgegenwĂ€rtigen Computer, die aus unserer direkten Wahrnehmung verschwinden. Bei einer Vielzahl von technischen GerĂ€ten des tĂ€glichen Lebens, wie Smartphones, Tablets oder interaktiven Tischen, sind berĂŒhrungsempfindliche OberflĂ€chen bereits heute in Benutzung. Schon seit vielen Jahren arbeiten Forscher an einer Weiterentwicklung der Technik, um ihre Vorteile auch in anderen Bereichen, wie beispielsweise der Interaktion zwischen Mensch und Automobil, nutzbar zu machen. Und das mit Erfolg: Interaktive BenutzeroberflĂ€chen werden mittlerweile serienmĂ€ĂŸig in vielen Fahrzeugen eingesetzt. Der Einbau von immer grĂ¶ĂŸeren, in das Cockpit integrierten Touchscreens in Konzeptfahrzeuge zeigt, dass sich diese Entwicklung weiter in vollem Gange befindet. Interaktive OberflĂ€chen ermöglichen das flexible Anzeigen von kontextsensitiven Inhalten und machen eine direkte Interaktion mit den Bildschirminhalten möglich. Auf diese Weise erfĂŒllen sie die sich wandelnden Informations- und InteraktionsbedĂŒrfnisse in besonderem Maße. Beim Einsatz von Bedienschnittstellen im Fahrzeug ist die gefahrlose Benutzbarkeit wĂ€hrend der Fahrt von besonderer Bedeutung. Insbesondere visuelle Ablenkung von der Fahraufgabe kann zu kritischen Situationen fĂŒhren, wenn PrimĂ€r- und SekundĂ€raufgaben mehr als die insgesamt verfĂŒgbare Aufmerksamkeit des Fahrers beanspruchen. Herkömmliche Touchscreens stellen dem Fahrer bisher lediglich eine flache OberflĂ€che bereit, die keinerlei haptische RĂŒckmeldung bietet, weshalb deren Bedienung besonders viel visuelle Aufmerksamkeit erfordert. Verschiedene AnsĂ€tze ermöglichen dem Fahrer, direkte Touchinteraktion fĂŒr einfache Aufgaben wĂ€hrend der Fahrt zu nutzen. Außerhalb der Automobilindustrie, zum Beispiel fĂŒr BĂŒroarbeitsplĂ€tze, wurden bereits verschiedene Konzepte fĂŒr eine komplexere Bedienung großer Bildschirme vorgestellt. DarĂŒber hinaus fĂŒhrt der technologische Fortschritt zu neuen möglichen AusprĂ€gungen interaktiver OberflĂ€chen und erlaubt, diese beliebig zu formen. FĂŒr die nĂ€chste Generation von interaktiven OberflĂ€chen im Fahrzeug wird vor allem an der Modifikation der Kategorien GrĂ¶ĂŸe und Form gearbeitet. Die Bedienschnittstelle wird nicht nur durch grĂ¶ĂŸere Bildschirme erweitert, sondern auch dadurch, dass Objekte wie Dekorleisten in die Interaktion einbezogen werden können. Andererseits heben aktuelle Technologieentwicklungen die Restriktion auf flache OberflĂ€chen auf, so dass Touchscreens kĂŒnftig ertastbare Strukturen aufweisen können. Diese Dissertation beschreibt die systematische Untersuchung großer und nicht-flacher interaktiver OberflĂ€chen und analysiert ihr Potential fĂŒr die Interaktion wĂ€hrend der Fahrt. Dazu wurden fĂŒr jede Charakteristik verschiedene Prototypen entwickelt und in Testumgebungen entsprechend ihres Reifegrads evaluiert. Auf diese Weise konnten subjektives Nutzerfeedback und objektive Daten erhoben, und die Effekte auf Fahr- und Blickverhalten sowie Nutzbarkeit untersucht werden. Diese Dissertation leistet den Beitrag einer Analyse der Entwicklung von interaktiven OberflĂ€chen im Automobilbereich. Weiterhin werden die Aspekte GrĂ¶ĂŸe und Form untersucht, um mit ihrer Hilfe die Interaktion im Vergleich zu herkömmlichen Touchscreens zu verbessern. Die durchgefĂŒhrten Studien belegen, dass große FlĂ€chen neue und verbesserte Bedienmöglichkeiten bieten können. Außerdem zeigt sich ein positiver Effekt auf die visuelle Ablenkung, wenn zusĂ€tzliches statisches, haptisches Feedback durch nicht-flache OberflĂ€chen bereitgestellt wird. Zusammenfassend zeigen verschiedene, untereinander kombinierbare Interaktionskonzepte das Potential interaktiver OberflĂ€chen fĂŒr den automotiven Einsatz. Zudem können die Ergebnisse auch in anderen Bereichen Anwendung finden, in denen visuelle Aufmerksamkeit fĂŒr andere Aufgaben benötigt wird

    Multimodal feedback for mid-air gestures when driving

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    Mid-air gestures in cars are being used by an increasing number of drivers on the road. Us-ability concerns mean good feedback is important, but a balance needs to be found between supporting interaction and reducing distraction in an already demanding environment. Visual feedback is most commonly used, but takes visual attention away from driving. This thesis investigates novel non-visual alternatives to support the driver during mid-air gesture interaction: Cutaneous Push, Peripheral Lights, and Ultrasound feedback. These modalities lack the expressive capabilities of high resolution screens, but are intended to allow drivers to focus on the driving task. A new form of haptic feedback — Cutaneous Push — was defined. Six solenoids were embedded along the rim of the steering wheel, creating three bumps under each palm. Studies 1, 2, and 3 investigated the efficacy of novel static and dynamic Cutaneous Push patterns, and their impact on driving performance. In simulated driving studies, the cutaneous patterns were tested. The results showed pattern identification rates of up to 81.3% for static patterns and 73.5% for dynamic patterns and 100% recognition of directional cues. Cutaneous Push notifications did not impact driving behaviour nor workload and showed very high user acceptance. Cutaneous Push patterns have the potential to make driving safer by providing non-visual and instantaneous messages, for example to indicate an approaching cyclist or obstacle. Studies 4 & 5 looked at novel uni- and bimodal feedback combinations of Visual, Auditory, Cutaneous Push, and Peripheral Lights for mid-air gestures and found that non-visual feedback modalities, especially when combined bimodally, offered just as much support for interaction without negatively affecting driving performance, visual attention and cognitive demand. These results provide compelling support for using non-visual feedback from in-car systems, supporting input whilst letting drivers focus on driving.Studies 6 & 7 investigated the above bimodal combinations as well as uni- and bimodal Ultrasound feedback during the Lane Change Task to assess the impact of gesturing and feedback modality on car control during more challenging driving. The results of study Seven suggests that Visual and Ultrasound feedback are not appropriate for in-car usage,unless combined multimodally. If Ultrasound is used unimodally it is more useful in a binary scenario.Findings from Studies 5, 6, and 7 suggest that multimodal feedback significantly reduces eyes-off-the-road time compared to Visual feedback without compromising driving performance or perceived user workload, thus it can potentially reduce crash risks. Novel design recommendations for providing feedback during mid-air gesture interaction in cars are provided, informed by the experiment findings

    From Manual Driving to Automated Driving: A Review of 10 Years of AutoUI

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    This paper gives an overview of the ten-year devel- opment of the papers presented at the International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutoUI) from 2009 to 2018. We categorize the topics into two main groups, namely, manual driving-related research and automated driving-related re- search. Within manual driving, we mainly focus on studies on user interfaces (UIs), driver states, augmented reality and head-up displays, and methodology; Within automated driv- ing, we discuss topics, such as takeover, acceptance and trust, interacting with road users, UIs, and methodology. We also discuss the main challenges and future directions for AutoUI and offer a roadmap for the research in this area.https://deepblue.lib.umich.edu/bitstream/2027.42/153959/1/From Manual Driving to Automated Driving: A Review of 10 Years of AutoUI.pdfDescription of From Manual Driving to Automated Driving: A Review of 10 Years of AutoUI.pdf : Main articl

    Multimodal Human-Machine Interface For Haptic-Controlled Excavators

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    The goal of this research is to develop a human-excavator interface for the hapticcontrolled excavator that makes use of the multiple human sensing modalities (visual, auditory haptic), and efficiently integrates these modalities to ensure intuitive, efficient interface that is easy to learn and use, and is responsive to operator commands. Two empirical studies were conducted to investigate conflict in the haptic-controlled excavator interface and identify the level of force feedback for best operator performance

    An Evaluation of Touch and Pressure-Based Scrolling and Haptic Feedback for In-car Touchscreens

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    An in-car study was conducted to examine different input techniques for list-based scrolling tasks and the effectiveness of haptic feedback for in-car touchscreens. The use of physical switchgear on centre consoles is decreasing which allows designers to develop new ways to interact with in-car applications. However, these new methods need to be evaluated to ensure they are usable. Therefore, three input techniques were tested: direct scrolling, pressure-based scrolling and scrolling using onscreen buttons on a touchscreen. The results showed that direct scrolling was less accurate than using onscreen buttons and pressure input, but took almost half the time when compared to the onscreen buttons and was almost three times quicker than pressure input. Vibrotactile feedback did not improve input performance but was preferred by the users. Understanding the speed vs. accuracy trade-off between these input techniques will allow better decisions when designing safer in-car interfaces for scrolling applications

    Multisensory learning in adaptive interactive systems

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    The main purpose of my work is to investigate multisensory perceptual learning and sensory integration in the design and development of adaptive user interfaces for educational purposes. To this aim, starting from renewed understanding from neuroscience and cognitive science on multisensory perceptual learning and sensory integration, I developed a theoretical computational model for designing multimodal learning technologies that take into account these results. Main theoretical foundations of my research are multisensory perceptual learning theories and the research on sensory processing and integration, embodied cognition theories, computational models of non-verbal and emotion communication in full-body movement, and human-computer interaction models. Finally, a computational model was applied in two case studies, based on two EU ICT-H2020 Projects, "weDRAW" and "TELMI", on which I worked during the PhD

    Agency in mid-air interfaces

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    Touchless interfaces allow users to view, control and manipulate digital content without physically touching an interface. They are being explored in a wide range of application scenarios from medical surgery to car dashboard controllers. One aspect of touchless interaction that has not been explored to date is the Sense of Agency (SoA). The SoA refers to the subjective experience of voluntary control over actions in the external world. In this paper, we investigated the SoA in touchless systems using the intentional binding paradigm. We first compare touchless systems with physical interactions and then augmented different types of haptic feedback to explore how different outcome modalities influence users’ SoA. From our experiments, we demonstrated that an intentional binding effect is observed in both physical and touchless interactions with no statistical difference. Additionally, we found that haptic and auditory feedback help to increase SoA compared with visual feedback in touchless interfaces. We discuss these findings and identify design opportunities that take agency into consideration
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