It Is Not Always Just One Road User: Workshop on Multi-Agent Automotive Research

In the future, roads will host a complex mix of automated and manually operated vehicles, along with vulnerable road users. However, most automotive user interfaces and human factors research focus on single-agent studies, where one human interacts with one vehicle. Only a few studies incorporate multi-agent setups. This workshop aims to (1) examine the current state of multi-agent research in the automotive domain, (2) serve as a platform for discussion toward more realistic multi-agent setups, and (3) discuss methods and practices to conduct such multi-agent research. The goal is to synthesize the insights from the AutoUI community, creating the foundation for advancing multi-agent traffic interaction research.

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Publication Details

Published
2024-09-17
DOI
https://doi.org/10.1145/3641308.3677400
Citations
5
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
3.22
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article

It Is Not Always Just One Road User: Workshop on Multi-Agent Automotive Research

Francesco Walker, Tram Thi Minh Tran, Patrick Ebel, Pavlo Bazilinskyy et al.
5 citations
Human-Automation Interaction and Safety
3.22
article

It Is Not Always Just One Road User: Workshop on Multi-Agent Automotive Research

Francesco Walker, Tram Thi Minh Tran, Patrick Ebel, Pavlo Bazilinskyy, Debargha Dey
article en
5 citations

Abstract

In the future, roads will host a complex mix of automated and manually operated vehicles, along with vulnerable road users. However, most automotive user interfaces and human factors research focus on single-agent studies, where one human interacts with one vehicle. Only a few studies incorporate multi-agent setups. This workshop aims to (1) examine the current state of multi-agent research in the automotive domain, (2) serve as a platform for discussion toward more realistic multi-agent setups, and (3) discuss methods and practices to conduct such multi-agent research. The goal is to synthesize the insights from the AutoUI community, creating the foundation for advancing multi-agent traffic interaction research.

Leiden University (NL), The University of Sydney (AU), Cornell University (US), Eindhoven University of Technology (NL), Leipzig University (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Human-Automation Interaction and Safety
3.22
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