User Scenario-Based Interaction Design for Level 4 Autonomous Robo-Ride Systems

Abstract

As interest in driverless mobility continues to grow, the importance of human-machine interface (HMI) design for Level 4 autonomous vehicles is becoming increasingly critical. This study investigates user interactions and expectations in autonomous robo-ride environments through a scenario-based approach. A user study was conducted to explore key factors influencing user experience, including safety, privacy, accessibility, and trust. Based on these findings, we designed an HMI concept tailored for shared, driverless mobility services, focusing on intuitive interaction and inclusive design. The proposed system incorporates features such as clear navigation guidance, interaction cues, and a face-to-face seating configuration to enhance communication and usability, particularly for users with mobility challenges. To evaluate the effectiveness of the proposed HMI, a prototype-based assessment was performed. The results indicate that the design improves perceived safety, usability, and user trust, while reducing uncertainty in autonomous ride situations. In addition, accessibility considerations contributed to a more inclusive user experience across diverse user groups. These findings highlight the importance of human-centered HMI design in autonomous mobility systems and provide design implications for future robo-ride services.

Keywords: Autonomous Driving, Human-machine Interface, User Experience, Human Factors, Mobility Service

DOI: 10.54941/ahfe1007864