Effective communication between automated vehicles (AVs) and human road users (HRU) in mixed traffic is essential for ensuring safety, trust and acceptance. However, existing research on external Human-Machine Interfaces (eHMI) for AVs often overlooks design factors and their interconnections, leading to suboptimal designs. This article presents a comprehensive framework of Human-Machine Interaction in mixed traffic, integrating different relevant stakeholders, influencing factors, and relationships. By visualizing the interactions during communication and with the surrounding environment, the framework serves as a valuable tool for research and development of eHMI, maintaining a comprehensive perspective. Key challenges include determining optimal design features, such as message transmission methods and integration into the vehicle exterior design, and considering diverse human factors, such as age, culture, and cognitive abilities. By addressing these challenges, future eHMI designs can enhance user acceptance and trust in AVs, contributing to safer and more efficient mixed traffic environments. Further research will delve into the detailed examination of design factors and the interaction between interior and exterior vehicle interfaces.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:94025 |
| Date | 09 October 2024 |
| Creators | Gadermann, Lars, Holder, Daniel, Maier, Thomas |
| Publisher | Technische Universität Dresden, Technische Universität Dresden |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, doc-type:conferenceObject, info:eu-repo/semantics/conferenceObject, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | urn:nbn:de:bsz:14-qucosa2-922839, qucosa:92283 |
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