Towards guidelines and verification methods for automated vehicle HMIs. (January 2019)

• Record Type: Journal Article
• Authors: Naujoks, Frederik; Wiedemann, Katharina; Schömig, Nadja; Hergeth, Sebastian; Keinath, Andreas
• Is Part Of: Transportation research. Volume 60(2019)
• Page Start: 121
• Page End: 136
• Publication Date: 2019-01
• Subjects: Automated driving -- Human-machine interface -- Guidelines -- Validation; Automobile drivers -- Psychology -- Periodicals; Automobile driving -- Psychological aspects -- Periodicals; Transportation -- Psychological aspects -- Periodicals; 629.283019
• DOI: 10.1016/j.trf.2018.10.012
• Languages: English
• ISSNs: 1369-8478

Abstract

Highlights: Development of HMI guidelines for automated vehicles. Review of applicable standards, guidelines and best practices. Development of a checklist to verify compliance with guidelines. Abstract: In most levels of vehicle automation, drivers will not be merely occupants or passengers of automated vehicles. Especially in lower levels of automation, where the driver is still required to serve as a fallback level (SAE L3) or even as a supervisor (SAE L2), there is a need to communicate relevant system states (e.g., that the automated driving system works reliably or that there is a need for manual intervention) via the Human-Machine Interface (HMI). However, there are currently no agreed-upon guidelines that apply specifically to HMIs for automated driving. In this paper, we summarize design recommendations for visual-auditory and visual-vibrotactile HMIs derived from empirical research, applicable standards and design guidelines pertaining to in-vehicle interfaces. On this basis, we derive an initial set of principles and criteria for guiding the development and design of automated vehicle HMIs. A heuristic evaluation methodology consisting of an itemized checklist evaluation that can be used to verify that basic HMI requirements formulated in the guidelines are met is also presented. The heuristic evaluation involves an inspection of the HMI during typical use cases, judging their compliance with the proposed guidelines and documentation of identified instances of non-compliance. Taken together, the combination of the proposed guidelines and the heuristic evaluation methodology form the basis for both design and validation recommendations of automated vehicle HMIs, that can serve the industry in the important evolution of automation within vehicles.