Short answer

Designers must create flexible and multi-functional vehicle interiors that can seamlessly transition between different user activities, prioritizing comfort, connectivity, and personalized experiences as driving becomes an automated function.

Field
Human Factors
Source
Applied Sciences (2024)
Method
Systematic Review and Meta-Analysis
Sample
47 studies included, 39 in meta-analysis
Evidence
Strong effect

As vehicles transition to higher levels of automation, users engage in a wider range of non-driving-related activities, shifting focus from vehicle monitoring to personal tasks and interactions. This human factors research insight is drawn from a 2024 study published in Applied Sciences. Using Systematic review and meta-analysis with 47 studies included, 39 in meta-analysis, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Designers must create flexible and multi-functional vehicle interiors that can seamlessly transition between different user activities, prioritizing comfort, connectivity, and personalized experiences as driving becomes an automated function.

Study
Human FactorsRecentStrong effect

Increased Automation Levels Drive Diverse Non-Driving Activities in Vehicles

As vehicles transition to higher levels of automation, users engage in a wider range of non-driving-related activities, shifting focus from vehicle monitoring to personal tasks and interactions.

Applied Sciences · 2024

01

Key Findings

  • 01Positive correlation between automation levels and the diversity of non-driving-related activities (NDRAs).
  • 02Communication and passenger interaction are the most common NDRAs.
  • 03Media consumption, rest, and relaxation are prevalent.
  • 04Food/drink consumption slightly exceeds working/productivity.
  • 05Personal habits/hygiene are less prioritized.
02

Application

Design takeaway

Designers must create flexible and multi-functional vehicle interiors that can seamlessly transition between different user activities, prioritizing comfort, connectivity, and personalized experiences as driving becomes an automated function.

How to apply

When designing vehicle interiors for autonomous or semi-autonomous driving, prioritize modularity and integrated technology that can support entertainment, work, relaxation, and social interaction, while minimizing the need for traditional driver controls.

Project actions

  • 01Consider how different user groups might use the space differently (e.g., families vs. business travelers).
  • 02Research the ergonomics of activities like eating or working comfortably in a moving vehicle.
  • 03Explore how lighting, seating, and storage can be adapted for various NDRAs.
03

Method & Evidence

AimTo systematically review and analyze the changes in non-driving-related activities as vehicle automation progresses from conditional to full automation.
MethodSystematic Review and Meta-Analysis
ProcedureA comprehensive search of academic databases and sources was conducted using keywords related to non-driving-related activities and automated vehicles across SAE levels 3, 4, and 5. Relevant studies were identified, screened, and a subset was included in a meta-analysis to quantify trends.
Sample47 studies included, 39 in meta-analysis
ContextAutomotive interior design and human-computer interaction in automated vehicles.

Variables

IVLevel of vehicle automation (SAE Levels 3, 4, 5)
DVDiversity and type of non-driving-related activities (NDRAs)
CVVehicle type, user demographics, specific driving context (e.g., urban vs. highway)
04

Strengths & Limitations

Strengths

  • +Comprehensive systematic review methodology.
  • +Meta-analysis provides quantitative insights into activity trends.

Limitations

The studies reviewed may not cover all possible future activities or user demographics. The meta-analysis relies on the quality and scope of the original research.

Reliability & validity

The meta-analysis strengthens reliability by aggregating findings from multiple studies. Validity is supported by the systematic review process, but may be limited by the original studies' methodologies and scope.

Think critically

To what extent will the desire for personal space and privacy in a vehicle conflict with the increased opportunities for social interaction facilitated by automation?

05

Design Principles

"Design for transition: Vehicle interiors should be adaptable to support a spectrum of user activities enabled by automation, rather than a single primary function."

Understanding how users will occupy their time in automated vehicles is crucial for designing interiors that support these new activities. This insight informs the development of adaptable spaces, integrated technology, and ergonomic considerations that enhance user experience and safety.

06

What This Means for Your Design

As cars drive themselves more, people will do more things inside them, like talking, watching videos, or sleeping, instead of just watching the road.

How to use in your project

  • 1.Use findings on common NDRAs to justify the inclusion of specific features or design elements in your project.
  • 2.Reference the shift away from vehicle monitoring to support design choices that prioritize user comfort and engagement over driver-centric controls.
07

Add to My Project

08

Quick Cite

Paragraph starter

Research indicates a significant increase in the diversity and prevalence of non-driving-related activities (NDRAs) as vehicle automation levels advance. Specifically, as vehicles move towards full automation, users shift their focus from monitoring the driving environment to engaging in tasks such as communication, media consumption, rest, and work. This transition necessitates a re-evaluation of vehicle interior design to support these varied activities, moving beyond traditional driver-centric layouts to create adaptable and multi-functional spaces.

09

Source

Applied Sciences

Changes in Non-Driving-Related Activities from Conditional to Full Automation and Their Implications for Interior Design: A Systematic Review and Meta-Analysis

journal · 2024

View source

Questions About This Research

What does the research say about increased automation levels drive diverse non-driving activities in vehicles?
Designers must create flexible and multi-functional vehicle interiors that can seamlessly transition between different user activities, prioritizing comfort, connectivity, and personalized experiences as driving becomes an automated function. Evidence: Applied Sciences (2024).
Why does "Increased Automation Levels Drive Diverse Non-Driving Activities in Vehicles" matter for design?
Understanding how users will occupy their time in automated vehicles is crucial for designing interiors that support these new activities. This insight informs the development of adaptable spaces, integrated technology, and ergonomic considerations that enhance user experience and safety.
How can designers apply this research?
Designers must create flexible and multi-functional vehicle interiors that can seamlessly transition between different user activities, prioritizing comfort, connectivity, and personalized experiences as driving becomes an automated function.
What were the main findings?
Positive correlation between automation levels and the diversity of non-driving-related activities (NDRAs).. Communication and passenger interaction are the most common NDRAs.. Media consumption, rest, and relaxation are prevalent.. Food/drink consumption slightly exceeds working/productivity.
What research method was used?
Systematic Review and Meta-Analysis with 47 studies included, 39 in meta-analysis.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2024 journal from Applied Sciences.
What should I do differently in my next project?
When designing vehicle interiors for autonomous or semi-autonomous driving, prioritize modularity and integrated technology that can support entertainment, work, relaxation, and social interaction, while minimizing the need for traditional driver controls.
What are the limitations?
The review focuses on reported activities, and actual user behavior may vary. The prioritization of certain activities might be influenced by cultural or individual preferences not fully captured.