Reprint
Test and Evaluation Methods for Human-Machine Interfaces of Automated Vehicles
Edited by
October 2020
416 pages
- ISBN978-3-03943-198-4 (Hardback)
- ISBN978-3-03943-199-1 (PDF)
This book is a reprint of the Special Issue Test and Evaluation Methods for Human-Machine Interfaces of Automated Vehicles that was published in
Computer Science & Mathematics
Summary
This book summarizes the latest developments in the area of human factors test and evaluation methods for automated vehicles. Future vehicles will allow a transition of responsibility from the driver to the automated driving system and vice versa. Drivers will have the opportunity to use a wide variety of different driver assistance systems within the same vehicle. This coexistence of different automation levels creates new challenges in the design of the vehicle’s human–machine interface (HMI), which have to be accounted for by human factors experts, both in industrial design and in academia. This book brings together the latest developments, empirical evaluations and guidelines on various topics, such as the design and evaluation of interior as well as exterior HMIs for automated vehicles, and the assessment of the impact of automated vehicles on non-automated road users and driver state assessment (e.g., fatigue, motion sickness, fallback readiness) during automated driving.
Format
- Hardback
License
© 2020 by the authors; CC BY-NC-ND license
Keywords
virtual reality; automated driving; pedestrians; decision making; crossing; eHMI; eHMI; eye-tracking; attention distribution; road safety; automated driving; driverless vehicles; behavioural adaptation; SAE L3 motorway chauffeur; system usage; acceptance; attention; secondary task; highly automated driving; HAD; takeover; conditional automation; intelligent vehicles; objective complexity; subjective complexity; familiarity; cognitive assistance; takeover quality; eHMI; standardized test procedure; use cases; test protocol; automated driving; Adaptive HMI; automated driving; automotive user interfaces; driver behaviour; automated vehicles; automated driving systems; HMI; guidelines; heuristic evaluation; checklist; expert evaluation; automated driving; human-machine interface; mode awareness; conditionally automated driving; human–machine interface; usability; validity; method development; motion sickness; automated driving; methodology; driving comfort; multi-vehicle simulation; mixed traffic; human–machine interface; automated driving; mode awareness; measurement method; automated driving; SAE Level 2; SAE Level 3; automated driving; human factors; human machine interface; controllability; L3Pilot; marking automated vehicles; automated vehicles―human drivers interaction; mixed traffic; explicit communication; external human-machine interface; (automated) vehicle–pedestrian interaction; implicit communication; mixed traffic; virtual reality; Wizard of Oz; video; setup comparison/method comparison; partially automated driving; non-driving related tasks; take-over situations; test protocol development; user studies (simulator; closed circuit); highly automated driving; sleep; sleep inertia; HMI design; automated driving; external human–machine interface; interface size; legibility; spatiotemporal displays; sensory augmentation; reliability display; uncertainty encoding; automotive hmi; human-machine cooperation; cooperative driver assistance; state transparency display; pedestrians; self-driving vehicles; automated driving; external human-machine interface; test methods; evaluation; user studies; driver state; discomfort; psychophysiology; heart-rate variability (HRV); skin conductance response (SCR); highly automated driving (HAD); automated driving; human–machine interface; test methods; user studies; evaluation