Exploration of migration-proof in-vehicle human machine interaction and cooperation

• Applicant: Professor Dr.-Ing. Frank O. Flemisch
• Subject Area: Human Factors, Ergonomics, Human-Machine Systems ; Traffic and Transport Systems, Intelligent and Automated Traffic
• Term: since 2024
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 523663459

MiRoVA SP4 is one of 7 subprojects of the research group MiRoVA, which focuses on the effects of migration of road vehicle automation on the human-machine system, e.g. from a SAE level 0 (manual driving) or SAE level 2 (partially automated driving) to a SAE level 3 (conditionally automated driving) or SAE Level 4 (highly automated driving). The focus of MiRoVA SP4 is the exploration of migration-proof in-vehicle human-machine interaction and cooperation (internal interaction). The main objectives of SP4 are 1.) to gain as much scientific knowledge about positive and negative migration effects with regard to human-machine interaction and cooperation with automation and related HMI as possible, and 2.) to prepare it for the research and development community in such a way that it can be used efficiently. SP4 starts with the qualitative modeling of interaction, taking into account the state of the art, the metamodel of MiRoVA developed in SP1, and the migration effects identified in MiRoVA SP1-6. Interaction patterns are designed together with potential users and other stakeholders, on a qualitative level, formalized, implemented into software, and quantified. In the course of the sub-project’s iterations and in interplay with SP2-6, these models and interaction patterns are further refined in an interplay of exploration and critical assessment. In usability studies and experiments in a driving simulator, the developed interaction patterns are validated in different microscopic migration scenarios. An example for this is the comparison of two migration paths, where one sideways migration between two SAE Level 2 systems and one upward migration path from a Level 2 to a Level 4 system- and the associated human-machine systems are compared with focus on their HMI and the effects on safety, performance and usability. The studies also serve as a data basis for further iterations of the interaction patterns, and for an investigation of the effects of the interaction patterns in the overall traffic simulation. The intermediate and final results are discussed in expert workshops and cataloged in a pattern catalog.

• DFG Programme: Research Units
• Subproject of: FOR 5702: MiRoVA - Migration of Road Vehicle Automation