A Review on the Development of the In-Vehicle Human-Machine Interfaces in Driving Automation: A Design Perspective
Authors
The advancement of automated driving technologies is fundamentally transforming the relationship between humans and vehicles, shifting from direct control to a more collaborative dynamic. Consequently, the design of in-vehicle Human-Machine Interfaces (iHMIs) is becoming increasingly intricate, focusing on aspects beyond mechanics and ergonomics towards enriched interaction and enhanced user experience. This shift has prompted research efforts to explore and advance iHMI concepts. Despite the iterative nature of design and its role in knowledge creation, our high-level understanding of the design processes utilised in iHMI development remains limited. To provide a comprehensive overview, this paper presents a scoping review of 324 papers (2013—2023) focused on the design underpinnings of iHMI development. Our review presents a categorisation of study goals and a detailed classification of five key stages within the design process. Based on these analyses, we discuss the influence of design and identify potential avenues for future research on iHMIs.
Research Questions / Practical Problems
Question signals indexed for this paper.
- 100%
Evaluating In-Car Tasks’ Distraction Effects with Drive-In Lab
CHI '25· Automated Driving Interface & Takeover Design +1
- 100%
Understanding User Requirements for Creating Sensor-Powered Smart Car Cabins Through Retrofitting
CHI '26· Automated Driving Interface & Takeover Design +1
- 100%
Designing With Motion: Exploring Vestibular Cues as a Subtle Awareness Nudge Modality in Automated Vehicles
AutoUI '25· Automated Driving Interface & Takeover Design +1
- 80%
In UX We Trust: Investigation of Aesthetics and Usability of Driver-Vehicle Interfaces and Their Impact on the Perception of Automated Driving
CHI '19· Automated Driving Interface & Takeover Design +2
- 80%
Matching Explanation Detail to Scene Complexity: Studying Situational Awareness-Specific AI Feedback in Pedestrian Encounter Driving Scenarios
CHI '26· Automated Driving Interface & Takeover Design +2
- 80%
A Framework for Adapting In-Car Touchscreen Interfaces to Driver Behaviors, Perception, and Cognition
CHI '26· Automated Driving Interface & Takeover Design +2
- 80%
From Awareness to Intent: Mitigating Silent Driving System Failures through Prospective Situation Awareness Enhancing Interfaces
CHI '26· Automated Driving Interface & Takeover Design +2
- 80%
MUST: Smartwatch-based Multimodal Framework for Predicting Driver State and Takeover Performance
CHI '26· Automated Driving Interface & Takeover Design +2
- 80%
MIRAGE: Enabling Real-Time Automotive Mediated Reality
CHI '26· Automated Driving Interface & Takeover Design +2
- 80%
A Social Approach for Autonomous Vehicles: A Robotic Object to Enhance Passengers’ Sense of Safety and Trust
HRI '24· Automated Driving Interface & Takeover Design +2
Based on Jaccard similarity of research subtopics & professions (≥60%)