Scenarios Exploration: How AR-Based Speech Balloons Enhance Car-to-Pedestrian Interaction¶

Research Problem: Previous studies considered the text-based external human-machine interface (eHMI) as the most effective method for self-driving vehicles. However, classic eHMIs cannot meet these requirements because of various limitations (e.g., placement, space, and limited communication channels).

Solution: With rapid improvements in the Internet of Things, there are more options to improve communication between self-driving vehicles and pedestrians. We introduce our novel eHMI concept, the AR-based speech balloon, which displays text in a balloon shape and floats around self-driving vehicles through smart glasses.

Content: In this paper, we present future research scenarios of people wearing smart glasses. We define the mockups, describe the three main problems, and explain how an AR-based speech balloon can alleviate them in six corresponding scenarios.

Please check our paper[pdf] for more details!

Authors¶

  • Xinyue Gui, The University of Tokyo
  • Chia-Ming Chang, The University of Tokyo
  • Stela H. Seo, Kyoto University
  • Koki Toda, Revetronique
  • Takeo Igarashi, The University of Tokyo
Fig 1

Publication¶

Gui, X., Chang, CM., Seo, S.H., Toda, K., Igarashi, T. (2024). Scenarios Exploration: How AR-Based Speech Balloons Enhance Car-to-Pedestrian Interaction. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2024 Posters. HCII 2024. Communications in Computer and Information Science, vol 2118. Springer, Cham. https://doi.org/10.1007/978-3-031-61963-2_21