2026-10-01 ミシガン大学
Hannah Baez runs system checks during a simulation test of a haptic steering wheel designed to improve communication between vehicle automation and the human driver. Image credit: Brenda Ahearn, Michigan Engineering
＜関連情報＞
- https://news.umich.edu/steering-wheel-communicates-for-better-semi-autonomous-driving-performance/
- https://journals.sagepub.com/doi/10.1177/00187208261483656
触覚による共有計画と制御：触覚交渉インターフェースを介した人間と自律走行車のチームにおける将来の行動の調整を可能にする Haptic Shared Planning and Control: Enabling Coordination of Future Actions in Human-Autonomous Vehicle Teams Through a Haptic Negotiation Interface
Hannah Báez, Haochi Pan, […], and R. Brent Gillespie
The Human Factors and Ergonomics Society Published:September 24, 2026
DOI:https://doi.org/10.1177/00187208261483656
Abstract
Objective
We examine how human-automation shared steering control combined with a haptic shape-changing interface for communicating and negotiating future intent affects driving performance and trust recovery.
Background
Steering fights in haptic shared control can negatively impact driving performance. Existing solutions do not feature automation explicitly communicating its intent nor supporting intent negotiation with the driver. Trust recovery after faults is also expected to improve with explicit intent communication.
Method
Thirty participants took part in a continuous driving task consisting of 39 turns at intersections in which the pre-planned turn direction either matched or differed. Haptic communication of intent between driver and automation was metered under three conditions: From automation to driver (One-Way), in both directions (Two-Way), or not available (No-Way). Road obstacles were present at certain intersections to test handling of contingencies and faults. Automation faults were restricted to a second experimental period, leaving a third period to examine trust before and after a period of faults.
Results
Drivers in Two-Way communication displayed significantly improved driving performance when turn intents did not match. After the period of automation faults, drivers in Two-Way communication displayed significantly better overall trust recovery than drivers in One-Way or No-Way communication.
Conclusion
Negotiation is a viable means to avoid driver overrides and leads to improved trust recovery. Negotiation through a haptic interface should be considered an effective strategy to ensure function and cohesion in human-automation teams.
Application
Human-autonomy planning and team building.
