Human-Machine Interaction for Vehicles: Review and Outlook
Today’s vehicles have myriad user interfaces, from those related to the moment-to-moment control of the vehicle, to those that allow the consumption of information and entertainment. The bulk of the work in this domain in the recent past and the present is related to manual driving. In exploring human-machine interaction for manual driving a key issue has been assessing the effects of in-vehicle interfaces on driving safety. Very frequently this is done in the context of an application, such as navigation, entertainment, or communication. With recent advances in automated vehicles, there is an increased attention to user interactions as they relate to creating a place for work and play during a trip. Given that it is unlikely that most vehicles will be fully automated in the near future, there are also significant efforts to understand how to help the driver switch between different modes of automation. This paper provides a review of these areas of research, as well as recommendations for future work.
Research Questions / Practical Problems
Question signals indexed for this paper.
- 75%
What a Driver Wants: User Preferences in Semi-Autonomous Vehicle Decision-Making
CHI '20· Automated Driving Interface & Takeover Design
- 75%
Is Too Much System Caution Counterproductive? Effects of Varying Sensitivity and Automation Levels in Vehicle Collision Avoidance Systems
CHI '20· Automated Driving Interface & Takeover Design
- 75%
DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data
CHI '21· Automated Driving Interface & Takeover Design
- 75%
All-inclusive TORs: Cross-Cultural and Age-Sensitive Design for Take-Over Requests in Level 3 Cars
CHI '25· Automated Driving Interface & Takeover Design
- 75%
Introducing ROADS: A Systematic Comparison of Remote Control Interaction Concepts for Automated Vehicles at Road Works
CHI '25· Automated Driving Interface & Takeover Design +1
- 75%
Improving Take-Over Quality in Automated Driving By Interrupting Non-Driving Tasks
IUI '19· Automated Driving Interface & Takeover Design
- 75%
The Real T(h)OR: Evaluation of Emergency Take-Over on a Test Track
AutoUI '19· Automated Driving Interface & Takeover Design
- 75%
No Risk No Trust: Investigating Perceived Risk in Highly Automated Driving
AutoUI '19· Automated Driving Interface & Takeover Design
- 75%
Who Has The Right of Way, Automated Vehicles or Drivers? Multiple Perspectives in Safety, Negotiation and Trust
AutoUI '19· Automated Driving Interface & Takeover Design
- 75%
Need for Trust Calibration in Takeover request Performance in Level 3 Automated vehicles
AutoUI '25· Automated Driving Interface & Takeover Design
Based on Jaccard similarity of research subtopics & professions (≥60%)