Work

Understanding Automation Surprise in Non-Critical Highly Automated Driving: An Initial On-Road Probing Study

Year: 2024

Type: conference-paper

Abstract: As automated vehicles advance towards higher levels of automation, users are increasingly engaged in non-driving related activities, diverting their attention from the road and the vehicle’s operations. Even in non-critical conditions where automated driving is routine and uninterrupted, users may experience automation surprise (AS) when they fail to anticipate the vehicle’s behaviour, potentially impacting their comfort and acceptance of automated vehicles. To explore AS in non-critical automated driving scenarios from an experiential perspective beyond safety considerations, we conducted a pilot study using a qualitative analysis approach, on-road probing and the think-aloud method. Initial findings indicate an expanded understanding of AS, which can arise in non-critical conditions, accompanied by cognitive and emotional responses. Future research aims to validate and refine the expanded definition through a more comprehensive study and inform the development of effective AS mitigation strategies to improve the general user experience.

Source: International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI)

DOI: 10.1145/3641308.3685019

Authors: Haoyu Dong, Sanchayita Kainth, Mervyn Franssen, Miguel Bruns, Marieke Martens

Institution: Eindhoven University of Technology

Language: English

Topic: Human-Automation Interaction and Safety

Subfield: Social Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: green

Funder: Universitas Brawijaya

Award: G8857670450