Is Silent eHMI Enough? A Passenger-Centric Study on Effective eHMI for Autonomous Personal Mobility Vehicles in the Field

TL;DR

This field study investigates passenger-centered eHMI design for Autonomous Personal Mobility Vehicles by comparing a silent GUI (eHMI-T) with two multimodal interfaces (eHMI-NV and eHMI-AV) that incorporate voice cues. Using a robotic wheelchair APMV in indoor environments, N=24 participants experienced 12 encounter scenes across three eHMIs, with subjective, UX, and personality measurements collected. Results show that silent eHMI-T yields insufficient information and awkward passenger experiences, whereas voice-enabled MUIs improve comprehension; eHMI-NV provides stronger pragmatic quality while eHMI-AV enhances hedonic quality, with preferences partially linked to Big Five personality traits. The study underscores the importance of passenger-centric design and tailoring eHMI to user personality to optimize safety, acceptance, and user satisfaction in APMV deployments.

Abstract

Autonomous Personal Mobility Vehicle (APMV) is a miniaturized autonomous vehicle designed to provide short-distance mobility to everyone in pedestrian-rich environments. By the characteristic of the open design, passengers on the APMV are exposed to the communication between the eHMI deployed on APMVs and pedestrians. Therefore, to ensure an optimal passenger experience, eHMI designs for APMVs must consider the potential impact of APMV-pedestrian communications on passengers' subjective feelings. To this end, this study discussed three external human-machine interface (eHMI) designs, i.e., 1) graphical user interface (GUI)-based eHMI with text message (eHMI-T), 2) multimodal user interface (MUI)-based eHMI with neutral voice (eHMI-NV), and 3) MUI-based eHMI with affective voice (eHMI-AV), from the perspective of APMV passengers in the communication between APMV and pedestrians. In the riding field experiment (N=24), we found that eHMI-T may be less suitable for APMVs. This conclusion was drawn based on passengers' feedback, as they expressed an awkward feeling during the "silent time" when the eHMI-T provided information only to pedestrians but not to passengers. Additionally, these two MUI-based eHMIs with voice cues had their own advantages, i.e., eHMI-NV has an advantage in pragmatic quality, while eHMI-AV has an advantage in hedonic quality. The study also highlights the necessity of considering passengers' personalities when desig

Figures (15)

• Figure 1: An APMV encounters pedestrians in a shared space.
• Figure 1: The basic design of APMV's eHMI including LED lights and a display is used to show its driving behaviors.
• Figure 2: Three types of eHMI designs to communicate with pedestrians.
• Figure 2: The experimental site is a $55\,m \times 30\,m$ indoor area. In each round, the AVMP's driving route (red line) encounters with pedestrians (actors) four times at the marked positions.
• Figure 3: An APMV encounters a pedestrian in an indoor environment and communicates through eHMIs.