Using haptics as an alternative to visual map interfaces for public transport information systems

The use of public transport for daily commutes or for journeys within a new city is something most people rely on. To ensure users actively use public transport services the availability and usability of information relevant to the traveler at any given time is very important. In this paper we describe an interaction model for users of public transport. The interaction model is divided into two main components – the web interaction model and the mobile interaction model. The web interface provides real-time bus information using a website. The mobile interaction model provides similar information to the user through visual user interfaces, gesture based querying, and haptic feedback. Improved access to transit services is very dependent on the effectiveness of communicating information to existing and potential passengers. We discuss the importance and benefits of our multi-modal interaction in public transport systems. The importance of the relatively new mode of haptic feedback is also discussed

Haptic Transit: Tactile feedback to notify public transport users

To attract people to use public transport, efficient transit information systems providing accurate, real-time, easy-tounderstand information must be provided to users. In this paper we introduce HapticTransit, a tactile feedback based alert/notification model of a system, which provides spatial information to the public transport user. The model uses real-time bus location with other spatial information to provide feedback about the user as their journey is in progress. The system allows users make better use of „in-bus‟ time. It allows the user be involved with other activities and not be anxious about the arrival at their destination bus stop. Our survey shows a majority of users have missed a bus stop/station whilst undertaking a transit journey in an unfamiliar location. The information provided by our system can be of great advantage to certain user groups. The vibration alarm is used to provide tactile feedback. Visual feedback, in the form of colour coded buttons and textual description, is also provided. This model forms the basis for further research for developing information systems for public transport users with special needs – deaf, visually impaired and those with poor spatial abilities

Integrating Haptic Feedback into Mobile Location Based Services

Haptics is a feedback technology that takes advantage of the human sense of touch by applying forces, vibrations, and/or motions to a haptic-enabled device such as a mobile phone. Historically, human-computer interaction has been visual - text and images on the screen. Haptic feedback can be an important additional method especially in Mobile Location Based Services such as knowledge discovery, pedestrian navigation and notification systems. A knowledge discovery system called the Haptic GeoWand is a low interaction system that allows users to query geo-tagged data around them by using a point-and-scan technique with their mobile device. Haptic Pedestrian is a navigation system for walkers. Four prototypes have been developed classified according to the user’s guidance requirements, the user type (based on spatial skills), and overall system complexity. Haptic Transit is a notification system that provides spatial information to the users of public transport. In all these systems, haptic feedback is used to convey information about location, orientation, density and distance by use of the vibration alarm with varying frequencies and patterns to help understand the physical environment. Trials elicited positive responses from the users who see benefit in being provided with a “heads up” approach to mobile navigation. Results from a memory recall test show that the users of haptic feedback for navigation had better memory recall of the region traversed than the users of landmark images. Haptics integrated into a multi-modal navigation system provides more usable, less distracting but more effective interaction than conventional systems. Enhancements to the current work could include integration of contextual information, detailed large-scale user trials and the exploration of using haptics within confined indoor spaces

“Braking bad”:The influence of haptic feedback and tram driver experience on emergency braking performance

Trams are experiencing a resurgence with worldwide network expansion driven by the need for sustainable and efficient cities. Trams often operate in shared or mixed-traffic environments, which raise safety concerns, particularly in hazardous situations. This paper adopts an international, mixed-methods approach, conducted through two interconnected studies in Melbourne (Australia) and Birmingham (UK). The first study involved qualitative interviews, while the second was an experimental study involving a virtual reality (VR) simulator and haptic master controller (i.e., speed lever). In tram operations, master controllers play a critical role in ensuring a smooth ride, which directly influences passenger safety and comfort. The objective was to understand how a master control system, enhanced with additional haptic feedback, could improve tram driver braking performance and perceptions in safety-critical scenarios. Interview results indicate that the use of the emergency brake is considered the final or ultimate choice by drivers, and their driving experience is a moderating factor in limiting its application. Combined with the experimental results, this paper highlights how implementing haptic feedback within a master controller can reduce the performance disparity between novice and experienced tram drivers.</p

Designing passenger experiences for in-car Mixed Reality

In day-to-day life, people spend a considerable amount of their time on the road. People seek to invest travel time for work and well-being through interaction with mobile and multimedia applications on personal devices such as smartphones and tablets. However, for new computing paradigms, such as mobile mixed reality (MR), their usefulness in this everyday transport context, in-car MR remains challenging. When future passengers immerse in three-dimensional virtual environments, they become increasingly disconnected from the cabin space, vehicle motion, and other people around them. This degraded awareness of the real environment endangers the passenger experience on the road, which initially motivates this thesis to question: can immersive technology become useful in the everyday transport context, such as for in-car scenarios? If so, how should we design in-car MR technology to foster passenger access and connectedness to both physical and virtual worlds, ensuring ride safety, comfort, and joy? To this aim, this thesis contributes via three aspects: 1) Understanding passenger use of in-car MR —first, I present a model for in-car MR interaction through user research. As interviews with daily commuters reveal, passengers are concerned with their physical integrity when facing spatial conflicts between borderless virtual environments and the confined cabin space. From this, the model aims to help researchers spatially organize information and how user interfaces vary in the proximity of the user. Additionally, a field experiment reveals contextual feedback about motion sickness when using immersive technology on the road. This helps refine the model and instruct the following experiments. 2) Mixing realities in car rides —second, this thesis explores a series of prototypes and experiments to examine how in-car MR technology can enable passengers to feel present in virtual environments while maintaining awareness of the real environment. The results demonstrate technical solutions for physical integrity and situational awareness by incorporating essential elements of the RE into virtual reality. Empirical evidence provides a set of dimensions into the in-car MR model, guiding the design decisions of mixing realities. 3) Transcending the transport context —third, I extend the model to other everyday contexts beyond transport that share spatial and social constraints, such as the confined and shared living space at home. A literature review consolidates leveraging daily physical objects as haptic feedback for MR interaction across spatial scales. A laboratory experiment discovers how context-aware MR systems that consider physical configurations can support social interaction with copresent others in close shared spaces. These results substantiate the scalability of the in-car MR model to other contexts. Finally, I conclude with a holistic model for mobile MR interaction across everyday contexts, from home to on the road. With my user research, prototypes, empirical evaluation, and model, this thesis paves the way for understanding the future passenger use of immersive technology, addressing today’s technical limitations of MR in mobile interaction, and ultimately fostering mobile users’ ubiquitous access and close connectedness to MR anytime and anywhere in their daily lives.Im modernen Leben verbringen die Menschen einen beträchtlichen Teil ihrer Zeit mit dem täglichen Pendeln. Die Menschen versuchen, die Reisezeit für ihre Arbeit und ihr Wohlbefinden durch die Interaktion mit mobilen und multimedialen Anwendungen auf persönlichen Geräten wie Smartphones und Tablets zu nutzen. Doch für neue Computing-Paradigmen, wie der mobilen Mixed Reality (MR), bleibt ihre Nützlichkeit in diesem alltäglichen Verkehrskontext, der MR im Auto, eine Herausforderung. Wenn künftige Passagiere in dreidimensionale virtuelle Umgebungen eintauchen, werden sie zunehmend von der Kabine, der Fahrzeugbewegung und den Menschen in ihrer Umgebung abgekoppelt. Diese verminderte Wahrnehmung der realen Umgebung gefährdet das Fahrverhalten der Passagiere im Straßenverkehr, was diese Arbeit zunächst zu der Frage motiviert: Können immersive Systeme im alltäglichen Verkehrskontext, z.B. in Fahrzeugszenarien, nützlich werden? Wenn ja, wie sollten wir die MR-Technologie im Auto gestalten, um den Zugang und die Verbindung der Passagiere mit der physischen und der virtuellen Welt zu fördern und dabei Sicherheit, Komfort und Freude an der Fahrt zu gewährleisten? Zu diesem Zweck trägt diese Arbeit zu drei Aspekten bei: 1) Verständnis der Nutzung von MR im Auto durch die Passagiere - Zunächst wird ein Modell für die MR-Interaktion im Auto durch user research vorgestellt. Wie aus Interviews mit täglichen Pendlern hervorgeht, sind die Passagiere um ihre körperliche Unversehrtheit besorgt, wenn sie mit räumlichen Konflikten zwischen grenzenlosen virtuellen Umgebungen und dem begrenzten Kabinenraum konfrontiert werden. Das Modell soll Forschern dabei helfen, Informationen und Benutzerschnittstellen räumlich zu organisieren, die in der Nähe des Benutzers variieren. Darüber hinaus zeigt ein Feldexperiment kontextbezogenes Feedback zur Reisekrankheit bei der Nutzung immersiver Technologien auf der Straße. Dies hilft, das Modell zu verfeinern und die folgenden Experimente zu instruieren. 2) Vermischung von Realitäten bei Autofahrten - Zweitens wird in dieser Arbeit anhand einer Reihe von Prototypen und Experimenten untersucht, wie die MR-Technologie im Auto es den Passagieren ermöglichen kann, sich in virtuellen Umgebungen präsent zu fühlen und gleichzeitig das Bewusstsein für die reale Umgebung zu behalten. Die Ergebnisse zeigen technische Lösungen für räumliche Beschränkungen und Situationsbewusstsein, indem wesentliche Elemente der realen Umgebung in VR integriert werden. Die empirischen Erkenntnisse bringen eine Reihe von Dimensionen in das Modell der MR im Auto ein, die die Designentscheidungen für gemischte Realitäten leiten. 3) Über den Verkehrskontext hinaus - Drittens erweitere ich das Modell auf andere Alltagskontexte jenseits des Verkehrs, in denen räumliche und soziale Zwänge herrschen, wie z.B. in einem begrenzten und gemeinsam genutzten Wohnbereich zu Hause. Eine Literaturrecherche konsolidiert die Nutzung von Alltagsgegenständen als haptisches Feedback für MR-Interaktion über räumliche Skalen hinweg. Ein Laborexperiment zeigt, wie kontextbewusste MR-Systeme, die physische Konfigurationen berücksichtigen, soziale Interaktion mit anderen Personen in engen gemeinsamen Räumen ermöglichen. Diese Ergebnisse belegen die Übertragbarkeit des MR-Modells im Auto auf andere Kontexte. Schließlich schließe ich mit einem ganzheitlichen Modell für mobile MR-Interaktion in alltäglichen Kontexten, von zu Hause bis unterwegs. Mit meiner user research, meinen Prototypen und Evaluierungsexperimenten sowie meinem Modell ebnet diese Dissertation den Weg für das Verständnis der zukünftigen Nutzung immersiver Technologien durch Passagiere, für die Überwindung der heutigen technischen Beschränkungen von MR in der mobilen Interaktion und schließlich für die Förderung des allgegenwärtigen Zugangs und der engen Verbindung der mobilen Nutzer zu MR jederzeit und überall in ihrem täglichen Leben

Journeys in the City: Empathising With the Users of Transport Buildings

Accessibility is a considerable and growing issue in the design of many public buildings including vital high use buildings such as train stations. Yet research methods for these buildings are poor. This paper suggests that one new approach to design is to use immersive, auto-ethnographic methods to achieve an empathetic understanding of design needs. The paper asks: what can we learn about the mobility requirements of station users when we are immersed in a train station environment, and what mobile research methods can we use to begin to explore this? The paper reports on a study that used video diaries to explore Canary Wharf Station in a November evening rush hour in dry conditions, and specifically to study passenger behaviours on an island platform within the station. The analysis focused on how to improve mobility in the station from a user’s perspective. This use of auto-ethnography is discussed as part of a broader methodological debate about how to explore universal design issues from a user’s perspective, and in the context of empathetic desig

Eco-driving technology for sustainable road transport: A review

© 2018 Elsevier Ltd Road transport consumes significant quantities of fossil fuel and accounts for a significant proportion of CO2 and pollutant emissions worldwide. The driver is a major and often overlooked factor that determines vehicle performance. Eco-driving is a relatively low-cost and immediate measure to reduce fuel consumption and emissions significantly. This paper reviews the major factors, research methods and implementation of eco-driving technology. The major factors of eco-driving are acceleration/deceleration, driving speed, route choice and idling. Eco-driving training programs and in-vehicle feedback devices are commonly used to implement eco-driving skills. After training or using in-vehicle devices, immediate and significant reductions in fuel consumption and CO2 emissions have been observed with slightly increased travel time. However, the impacts of both methods attenuate over time due to the ingrained driving habits developed over the years. These findings imply the necessity of developing quantitative eco-driving patterns that could be integrated into vehicle hardware so as to generate more constant and uniform improvements, as well as developing more effective and lasting training programs and in-vehicle devices. Current eco-driving studies mainly focus on the fuel savings and CO2 reduction of individual vehicles, but ignore the pollutant emissions and the impacts at network levels. Finally, the challenges and future research directions of eco-driving technology are elaborated

Ensuring Safe and Robust Human-Machine Interaction in Autonomous Electric Vehicles: State-of-the-Art Techniques

Autonomous electric vehicles (AEVs) are gaining popularity due to their potential to reduce accidents caused by human error and decrease carbon emissions. However, ensuring safe and robust human-machine interaction in AEVs remains a significant challenge. To address this challenge, we reviewed several state-of-the-art techniques currently being developed and implemented. Our findings show that AEVs rely on a range of sensors and perception systems, including cameras, lidars, radars, and GPS, to detect and respond to their environment. Advanced perception algorithms and machine learning techniques are used to process the data collected by these sensors and provide real-time information about the vehicle's surroundings. The human-machine interface (HMI) is the primary means of interaction between the vehicle and the passenger, and it should be designed to be intuitive, informative, and easy to use. Artificial intelligence and machine learning algorithms are used to make decisions and adapt to changing road conditions. Cybersecurity measures, such as encryption, authentication, and intrusion detection, are essential to prevent cyberattacks on AEVs. Redundancy and fail-safe systems, including redundant sensors, processors, communication systems, backup power sources, and emergency braking systems, ensure that AEVs can continue to operate safely in the event of a failure or malfunction. Finally, rigorous testing and validation are necessary to ensure that AEVs meet safety standards and perform as intended. Our review provides valuable insights into the state-of-the-art techniques for ensuring robust and safe human-machine interaction in AEVs, which can guide future research and development in this area

Accessible Autonomy: Exploring Inclusive Autonomous Vehicle Design and Interaction for People who are Blind and Visually Impaired

Autonomous vehicles are poised to revolutionize independent travel for millions of people experiencing transportation-limiting visual impairments worldwide. However, the current trajectory of automotive technology is rife with roadblocks to accessible interaction and inclusion for this demographic. Inaccessible (visually dependent) interfaces and lack of information access throughout the trip are surmountable, yet nevertheless critical barriers to this potentially lifechanging technology. To address these challenges, the programmatic dissertation research presented here includes ten studies, three published papers, and three submitted papers in high impact outlets that together address accessibility across the complete trip of transportation. The first paper began with a thorough review of the fully autonomous vehicle (FAV) and blind and visually impaired (BVI) literature, as well as the underlying policy landscape. Results guided prejourney ridesharing needs among BVI users, which were addressed in paper two via a survey with (n=90) transit service drivers, interviews with (n=12) BVI users, and prototype design evaluations with (n=6) users, all contributing to the Autonomous Vehicle Assistant: an award-winning and accessible ridesharing app. A subsequent study with (n=12) users, presented in paper three, focused on prejourney mapping to provide critical information access in future FAVs. Accessible in-vehicle interactions were explored in the fourth paper through a survey with (n=187) BVI users. Results prioritized nonvisual information about the trip and indicated the importance of situational awareness. This effort informed the design and evaluation of an ultrasonic haptic HMI intended to promote situational awareness with (n=14) participants (paper five), leading to a novel gestural-audio interface with (n=23) users (paper six). Strong support from users across these studies suggested positive outcomes in pursuit of actionable situational awareness and control. Cumulative results from this dissertation research program represent, to our knowledge, the single most comprehensive approach to FAV BVI accessibility to date. By considering both pre-journey and in-vehicle accessibility, results pave the way for autonomous driving experiences that enable meaningful interaction for BVI users across the complete trip of transportation. This new mode of accessible travel is predicted to transform independent travel for millions of people with visual impairment, leading to increased independence, mobility, and quality of life