Kempapidis, T., Castle, C.L., Fairchild, R.G., Hussain, S.F., Cash, A.T.G. and Gomes, R.S.M. (2020) A Scientific Evaluation of Autonomous Vehicle User Experience on Sighted and Visually Impaired Passengers Based on FACS (Facial Analysis Coding System) and a User Experience Questionnaire. Journal of Transport & Health, 19, Article ID: 100906.
https://doi.org/10.1016/j.jth.2020.100906

has been cited by the following article:

• TITLE: Evaluation of an Autonomous Vehicle User Interface for Sensory Impaired Users

  AUTHORS: Elena Angeleska, Linda Lüchtrath, Paolo Pretto

  KEYWORDS: Autonomous Vehicles, User Interface, Inclusive Design, Wizard of Oz Simulation

  JOURNAL NAME: Journal of Transportation Technologies, Vol.14 No.4, October 12, 2024

  ABSTRACT: Autonomous vehicles (AVs) hold immense promises in revolutionizing transportation, and their potential benefits extend to individuals with impairments, particularly those with vision and hearing impairments. However, the accommodation of these individuals in AVs requires developing advanced user interfaces. This paper describes an explorative study of a multimodal user interface for autonomous vehicles, specifically developed for passengers with sensory (vision and/or hearing) impairments. In a driving simulator, 32 volunteers with simulated sensory impairments, were exposed to multiple drives in an autonomous vehicle while freely interacting with standard and inclusive variants of the infotainment and navigation system interface. The two user interfaces differed in graphical layout and voice messages, which adopted inclusive design principles for the inclusive variant. Questionnaires and structured interviews were conducted to collect participants’ impressions. The data analysis reports positive user experiences, but also identifies technical challenges. Verified guidelines are provided for further development of inclusive user interface solutions.