Publication

Interaction Design for Communicating System State and Capabilities During Automated Highway Driving

Automation of road vehicles is currently one of the strongest trends within the automotive industry and understanding how the driver/user automation interaction should be designed is one important step towards realizing automated vehicles. In this paper we focus on manual-to-automation and automation-to-manual transition scenarios in highway driving and the design of the instrument cluster (IC) in particular. Two alternative IC concepts were compared in order to find whether there are any differences in how easy they are to interpret and act according to. One IC contained two automation modes (manual and highly automated) while the other contained three modes (manual, Adaptive Cruise Control, highly automated). It was also hypothesized that traffic density may have an effect on how well the driver manages the transition scenarios. A simulator study was conducted in which 23 participants (professional truck drivers) were exposed to the different IC designs (two vs. three modes) as well as the two degrees of traffic density (high, low). A mixed group design with IC design as a within group variable and traffic density as a between group variable was used. The test route consisted of a highway with two lanes in each direction. The scenarios consisted of (i) prompts for the driver when a higher degree of automation was possible to initiate, (ii) different system initiated take over requests due to system limitations as well as (iii) a scenario where the driver got to initiate a lane change, executed by the automated system. The system limitations consisted in either just lateral automation being removed or both lateral and longitudinal automation being removed. Both subjective (e.g. general usefulness and intention to use) and objective measures (e.g. time to initiate a higher mode of automation) were used. The results showed that the two-mode IC resulted in faster take over responses from the participants after full automation removal compared to when only lateral support was removed in the three-mode IC. The two-mode IC in some cases also resulted in quicker automation activation after an automation available prompt.

Author(s)
Pontus Larsson, Emma Johansson, Mikael Söderman, Deborah Thompson
Research area
Systems for accident prevention and AD
Publication type
Conference paper
Published in
6th International Conference on Applied Human Factors an Ergonomics (AHFE), July 2015, Las Vegas
Project
AdaptIVe - Automated Driving Applications and Technologies for Intelligent Vehicles
Year of publication
2015