Print Email Facebook Twitter Haptic shared steering control with an adaptive level of authority based on time-to-line crossing Title Haptic shared steering control with an adaptive level of authority based on time-to-line crossing Author Zwaan, Hugo (Student TU Delft) Petermeijer, S.M. (TU Delft Human-Robot Interaction) Abbink, D.A. (TU Delft Human-Robot Interaction) Date 2019 Abstract Traditional driver-automation interaction trades control over the vehicle back and forth between driver and automation. Haptic shared control offers an alternative by continuously sharing the control through torques on the steering wheel and pedals. When designing additional feedback torques, part of the design choice lies in the stiffness around the neutral steering point: also called the Level of Haptic Authority (LoHA), which is usually static and tuned to balance safety benefits (better at high LoHA) with conflicts torques in case of different intentions between automation and driver (higher conflict torques with increased LoHA). In this paper we explore the idea of situation-adaptive LoHA: in this case during lane-keeping by changing the LoHA based on time to lane crossing (TLC). Consequently, when safety margins are high (e.g., when driving on a wide road) the LoHA is low, but the LoHA would only increase when safety margins decrease. We propose two alternative design approaches to apply the LoHA: symmetrically and asymmetrically (i.e., only increase of LoHA in the direction of the low TLC). We compared these design in an explorative driving simulator study (n=14) to driving with two static LoHA designs (low and high). We found that compared to the high LoHA controller, both adaptive LoHA controllers designs resulted in similar safety margins, but at decreased conflict torques. Hence, a TLC-based adaptive LoHA controller seems to be an effective approach to mitigate conflicts while maintaining the safety benefits associated with HSC. Subject Haptic Shared ControlAdaptiveLevel of Haptic AuthorityHuman-Machine interactiondriving simulator To reference this document use: http://resolver.tudelft.nl/uuid:4e1c212d-616a-4a3d-856d-4d9bc5661025 DOI https://doi.org/10.1016/j.ifacol.2019.12.085 ISSN 1474-6670 Source IFAC-PapersOnLine, 52 (19), 49-54 Event 14th IFAC Symposium on Analysis, Design, and Evaluation of Human Machine Systems, HMS 2019, 2019-09-16 → 2019-09-19, Tallinn, Estonia Part of collection Institutional Repository Document type journal article Rights © 2019 Hugo Zwaan, S.M. Petermeijer, D.A. Abbink Files PDF 1_s2.0_S2405896319319202_main.pdf 1.15 MB Close viewer /islandora/object/uuid:4e1c212d-616a-4a3d-856d-4d9bc5661025/datastream/OBJ/view