TY  - JOUR
PY  - 2022//
TI  - Usability testing of three visual HNIs for assisted driving: how design impacts driver distraction and mental models
JO  - Ergonomics
A1  - Perrier, Mickaël J. R.
A1  - Louw, Tyron L.
A1  - Carsten, Oliver M. J.
SP  - ePub
EP  - ePub
VL  - ePub
IS  - ePub
N2  - There is a variety of visual human-machine interfaces (HMI) designed across vehicle manufacturers that support drivers while supervising driving automation features, such as adaptive cruise control (ACC). These various designs communicate the same limited amount of information to drivers about their ACC system and it is unclear which HMI designs impact driver distraction the least or how their design could be modified to help drivers develop more accurate mental models of their ACC system. Using a user-centred design (UCD) approach, we designed a speedometer to inform drivers about some of the system's capabilities and then invited 23 drivers to use ACC in a low-fidelity driving simulator to compare the usability of three HMIs using eye-tracking, response times, and qualitative data. Our attempt at designing an intuitive and more informative speedometer received mixed results, but design recommendations are given regarding the indication of the set target speed, set time gap between vehicles (headway distance), and system mode (conventional or adaptive cruise).<p />  <p>Language: en</p>
LA  - en
SN  - 0014-0139
UR  - http://dx.doi.org/10.1080/00140139.2022.2136766
ID  - ref1
ER  -