Improving External Communication of Automated Vehicles Using Bayesian Optimization Article Swipe
Mark Colley
,
Pascal Jansen
,
Mugdha Keskar
,
Enrico Rukzio
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1145/3706598.3714187
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1145/3706598.3714187
The absence of a human operator in automated vehicles (AVs) may require external Human-Machine Interfaces (eHMIs) to facilitate communication with other road users in uncertain scenarios, for example, regarding the right of way. Given the plethora of adjustable parameters, balancing visual and auditory elements is crucial for effective communication with other road users. With N=37 participants, this study employed multi-objective Bayesian optimization to enhance eHMI designs and improve trust, safety perception, and mental demand. By reporting the Pareto front, we identify optimal design trade-offs. This research contributes to the ongoing standardization efforts of eHMIs, supporting broader adoption.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1145/3706598.3714187
- OA Status
- gold
- Cited By
- 2
- References
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- Related Works
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- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4406730275Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1145/3706598.3714187Digital Object Identifier
- Title
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Improving External Communication of Automated Vehicles Using Bayesian OptimizationWork title
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-04-24Full publication date if available
- Authors
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Mark Colley, Pascal Jansen, Mugdha Keskar, Enrico RukzioList of authors in order
- Landing page
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https://doi.org/10.1145/3706598.3714187Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1145/3706598.3714187Direct OA link when available
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Computer science, Bayesian optimization, Standardization, Perception, Bayesian probability, Multi-objective optimization, Human–computer interaction, Pareto principle, Machine learning, Artificial intelligence, Engineering, Operations management, Neuroscience, Operating system, BiologyTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2025: 2Per-year citation counts (last 5 years)
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80Number of works referenced by this work
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