| 1. |
- Dey, Debargha, et al.
(author)
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Taming the eHMI jungle : A classification taxonomy to guide, compare, and assess the design principles of automated vehicles' external human-machine interfaces
- 2020
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In: Transportation Research Interdisciplinary Perspectives. - : Elsevier Ltd. - 2590-1982. ; 7
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Journal article (peer-reviewed)abstract
- There is a growing body of research in the field of interaction between automated vehicles and other road users in their vicinity. To facilitate such interactions, researchers and designers have explored designs, and this line of work has yielded several concepts of external Human-Machine Interfaces (eHMI) for vehicles. Literature and media review reveals that the description of interfaces is often lacking in fidelity or details of their functionalities in specific situations, which makes it challenging to understand the originating concepts. There is also a lack of a universal understanding of the various dimensions of a communication interface, which has impeded a consistent and coherent addressal of the different aspects of the functionalities of such interface concepts. In this paper, we present a unified taxonomy that allows a systematic comparison of the eHMI across 18 dimensions, covering their physical characteristics and communication aspects from the perspective of human factors and human-machine interaction. We analyzed and coded 70 eHMI concepts according to this taxonomy to portray the state of the art and highlight the relative maturity of different contributions. The results point to a number of unexplored research areas that could inspire future work. Additionally, we believe that our proposed taxonomy can serve as a checklist for user interface designers and researchers when developing their interfaces. © 2020 The Authors
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| 2. |
- Löcken, Andreas, et al.
(author)
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Accessible Automated Automotive Workshop Series (A3WS) : International Perspective on Inclusive External Human-Machine Interfaces
- 2022
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In: AutomotiveUI '22. - New York, NY, USA : ACM.
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Conference paper (peer-reviewed)abstract
- The fact that automated vehicles will be part of road traffic raises the question of how human road users, like bicyclists or pedestrians, would safely interact with them. Research has proposed external human-machine interfaces (eHMIs) for automated vehicles as a potential solution. Concept prototypes and evaluations so far have mainly focused on young, healthy adults and people without disabilities, such as visual impairments. For a “one-for-all” holistic, inclusive solution, however, further target groups like children, seniors, or people with (other) special needs will have to be considered. In this workshop, we bring together researchers, experts, and practitioners working on eHMIs to broaden our perspective on inclusiveness. We aim to identify aspects of inclusive eHMI design that can be universal and tailored to any culture and will focus on discussing methods, tools, and scenarios for inclusive communication.
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| 3. |
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| 4. |
- Löcken, Andreas, et al.
(author)
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WeCARe : Workshop on Inclusive Communication between Automated Vehicles and Vulnerable Road Users
- 2020
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In: Extended Abstracts - 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services: Expanding the Horizon of Mobile Interaction, MobileHCI 2020. - New York, NY, USA : Association for Computing Machinery (ACM).
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Conference paper (peer-reviewed)abstract
- Automated vehicles are expected to become a part of the road traffic in the near future. This upcoming change raises concerns on how human road users, e.g., cyclists or pedestrians, would interact with them to ensure safe communication on the road. Previous work focused primarily on the scenario in which a young adult without impairments crosses a street in front of an automated vehicle. Several road user groups, such as children, seniors, or people with special needs, in roles of pedestrians and cyclists, are not considered in this scenario. On top of this, cultural differences are rarely considered. To ensure that future traffic is safe and accessible for all citizens, we aim to address inclusive communication between automated vehicles and vulnerable road users. In this workshop, we will discuss and exchange methods, tools, and scenarios applicable for inclusive communication, identify the most relevant research gaps, and connect people for future collaborations.
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| 5. |
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| 6. |
- Martelaro, Nikolas, et al.
(author)
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How to Manage Social Order in Shared Automated Vehicles
- 2022
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In: Adjunct Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022. - New York, NY, USA : ACM. ; , s. 201-203
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Conference paper (peer-reviewed)abstract
- Autonomous shared ride vehicles may be prone to similar social issues and non-ideal passenger behaviors as today's public transit. Such issues may include passengers littering, harassing others, and creating an environment that is generally unpleasant for riders. Transportation user experience designers should preemptively consider such scenarios early in their design work to help develop possible interfaces to manage social order and maintain good rider experience. Through a short video prototype, we present three possible non-ideal scenarios that may occur on shared autonomous shuttles and provide three potential solutions to begin a discussion around how to design for such non-ideal situations.
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| 7. |
- Matviienko, Andrii, et al.
(author)
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Deriving design guidelines for ambient light systems
- 2015
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In: MUM 2015 - Proceedings of the 14th International Conference on Mobile and Ubiquitous Multimedia. - New York, NY, USA : Association for Computing Machinery (ACM). ; , s. 268-277
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Conference paper (peer-reviewed)abstract
- Recent interest in the development of ambient light systems has initialized a new research area, where the number of ambient light systems is expected to increase in the next years. To support the development of future ambient light systems, we need clear, explicit, and structured design guidelines. In this paper we present an evaluation of light patterns in a controlled laboratory study with two complementary parts. In the first part, our aim was to reveal and analyze light patterns that encode different types of everyday information. In the second part, we verified the results from the first part by asking another group of participants about their understanding of information encoded with light. Together, our results allowed us to establish light patterns and guidelines for building new ambient light systems and applications in the future.
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| 8. |
- Matviienko, Andrii, et al.
(author)
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Learning from Cycling: Discovering Lessons Learned from CyclingHCI
- 2024
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In: CHI 2024 - Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Sytems. - : Association for Computing Machinery (ACM).
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Conference paper (peer-reviewed)abstract
- Cycling plays an essential role in sustainable mobility, health, and socializing. This workshop aims to collect and discuss the lessons learned from Cycling Human-Computer Interaction (CyclingHCI). For this, we will gather researchers and experts in the field to discuss what we learned from designing, building, and evaluating CyclingHCI systems. We will start the workshop with three lessons learned from CyclingHCI defined by the organizers and their experience in the field, which include (1) a lack of theories, tools, and perspectives, (2) knowledge about designing for safety and inclusive cycling, and (3) evaluation methods and environments. Taken together, with this work, we aim to promote interactive technology to get more people cycling, profiting from the many associated benefits.
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| 9. |
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| 10. |
- Matviienko, Andrii, et al.
(author)
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Towards new ambient light systems : A close look at existing encodings of ambient light systems
- 2015
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In: IxD&A. - : Scuola Iad. - 1826-9745 .- 2283-2998. ; 26:1, s. 10-24
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Journal article (peer-reviewed)abstract
- Ambient systems provide information in the periphery of a user's attention. Their aim is to present information as unobtrusively as possible to avoid interrupting primary tasks (e.g. writing or reading). In recent years, light has been used to create ambient systems to display information. Examples of ambient light systems range from simple notification systems such as displaying messages or calendar event reminders, to more complex systems such as focusing on conveying information regarding health activity tracking. However, for ambient light systems, there is a broad design space that lacks guidelines on when to make use of light displays and how to design them. In this paper we provide a systematic overview of existing ambient light systems over four identified information classes derived from 72 existing ambient light systems. The most prominent encoding parameters among the surveyed ambient light systems are color, brightness, and their combination. By analyzing existing ambient light systems, we provide a first step towards developing guidelines for designing future ambient light systems.
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