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Co-Creating Future Autonomous Vehicle HMIs: A Mixed-Methods Exploration of Passenger Information Needs

Year: 2025

Type: conference-paper

Abstract: This paper investigates passenger information needs concerning the behavior of autonomous vehicles (AVs; SAE L4 and L5) in urban driving scenarios. Understanding these needs is essential for designing effective in-vehicle human-machine interfaces (HMIs) that foster trust and acceptance. A mixed-methods approach was employed to conduct co-creation interviews (N = 15), combining semi-structured interviews, quantitative questionnaires, real-world videos to contextualize critical scenarios, and a mix-and-match co-creation method where participants designed their own AV HMI concepts. The findings highlight key information needs related to AV decision-making, feedback, and safety, offering valuable insights for future HMI development.

Source: Qucosa (Saxon State and University Library Dresden)

DOI: 10.60687/2025-0220

Authors: Flohr, Lukas A., Burg, Eva-Maria, Osthelder, Charlotte F., Schulz, Stefan

Language: English

Topic: Human-Automation Interaction and Safety

Subfield: Social Psychology

Field: Psychology

Domain: Social Sciences

SDG: Sustainable cities and communities

Open Access status: green

OpenAlex ID: W7119013442

FWCI: 2.061

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Cited by: 1

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