With the increasing number of automated vehicles (AV) in future mixed traffic, new challenges arise in the interaction between human road users (HRU) and AVs. External human-machine interfaces (eHMI) are considered a promising approach to bridging the resulting communication gap. Despite numerous investigations and studies, there is still no consensus regarding a satisficing design of eHMI in terms of perceived safety, clarity, and aesthetic appeal. The present paper examines the influence of individual design features on the perception and evaluation of different stakeholders by means of a conjoint analysis. For this purpose, 20 high-quality and professionally created stimulus pattern combinations, based on the features technology, location, colour, and graphic type, were evaluated by 127 participants in an online study. The results show that the feature graphic has the greatest influence of all investigated parameters on the evaluation criteria. Text-based displays particularly enhance clarity and perceived safety, while animations promote aesthetic appeal. A combination of different feature levels could combine positive effects. The study provides specific design indications and highlights the importance of perception- and design-related factors in the development of eHMI.

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Visual Feature Preferences for Human Vehicle Communication in Mixed Traffic

  • Lars Gadermann,
  • Julia Schröder,
  • Daniel Holder,
  • Miriam Bottesch,
  • Cristián Acevedo,
  • Thomas Maier

摘要

With the increasing number of automated vehicles (AV) in future mixed traffic, new challenges arise in the interaction between human road users (HRU) and AVs. External human-machine interfaces (eHMI) are considered a promising approach to bridging the resulting communication gap. Despite numerous investigations and studies, there is still no consensus regarding a satisficing design of eHMI in terms of perceived safety, clarity, and aesthetic appeal. The present paper examines the influence of individual design features on the perception and evaluation of different stakeholders by means of a conjoint analysis. For this purpose, 20 high-quality and professionally created stimulus pattern combinations, based on the features technology, location, colour, and graphic type, were evaluated by 127 participants in an online study. The results show that the feature graphic has the greatest influence of all investigated parameters on the evaluation criteria. Text-based displays particularly enhance clarity and perceived safety, while animations promote aesthetic appeal. A combination of different feature levels could combine positive effects. The study provides specific design indications and highlights the importance of perception- and design-related factors in the development of eHMI.