Short answer

When designing for automotive integration or considering device use in safety-critical environments, prioritize minimal interaction time and visual load, especially for notification-based features.

Field
Human Factors
Source
International Journal of Mobile Human Computer Interaction (2017)
Method
Experimental (Driving Simulation)
Evidence
Strong effect

Interacting with notifications on a smartwatch while driving leads to greater visual distraction and slower reaction times than using a smartphone. This human factors research insight is drawn from a 2017 study published in International Journal of Mobile Human Computer Interaction. Using Experimental (driving simulation), researchers explored how this design variable affects real-world outcomes. The key design takeaway: When designing for automotive integration or considering device use in safety-critical environments, prioritize minimal interaction time and visual load, especially for notification-based features.

Study
Human FactorsHigh ImpactStrong effect

Smartwatch notifications increase driver distraction compared to smartphones

Interacting with notifications on a smartwatch while driving leads to greater visual distraction and slower reaction times than using a smartphone.

International Journal of Mobile Human Computer Interaction · 2017

01

Key Findings

  • 01Participants were faster to visually engage with smartwatch notifications but took longer to complete the interaction.
  • 02Longer glance durations and more frequent glances exceeding 1.6 seconds were observed with smartwatches.
  • 03Smartwatch use resulted in longer brake reaction times and increased lane position variability compared to a no-device baseline.
  • 04Both smartwatch and smartphone use increased self-reported perceived risk.
02

Application

Design takeaway

When designing for automotive integration or considering device use in safety-critical environments, prioritize minimal interaction time and visual load, especially for notification-based features.

How to apply

When developing or integrating wearable technology for use in vehicles, conduct rigorous testing to quantify distraction levels and prioritize designs that reduce interaction time and visual attention away from the road.

Project actions

  • 01Consider how different device form factors (e.g., watch vs. phone) affect user attention in various contexts.
  • 02Investigate the impact of notification content and interaction complexity on user distraction.
03

Method & Evidence

AimTo investigate whether smartwatch notifications cause more driver distraction than smartphone notifications and to assess drivers' perceptions of the risks associated with smartwatch use while driving.
MethodExperimental (Driving Simulation)
ProcedureParticipants engaged with notifications on both smartwatches and smartphones in a driving simulator. Experiment I involved reading notifications aloud, while Experiment II involved selecting responses to arithmetic questions, also measuring driving performance and risk perception.
ContextAutomotive/Transportation, Human-Computer Interaction

Variables

IV["Device type (Smartwatch vs. Smartphone)","Notification interaction task (Reading aloud vs. Selecting response)"]
DV["Visual engagement time with device","Number of glances > 1.6s","Brake reaction time","Lane position variability","Self-reported perceived risk"]
CV["Driving simulator environment","Types of notifications presented","Participant demographics (potentially)"]
04

Strengths & Limitations

Strengths

  • +Utilized a controlled driving simulator environment.
  • +Compared smartwatch to smartphone notifications directly.
  • +Investigated both objective performance metrics and subjective perceptions.

Limitations

Simulator studies may not perfectly reflect real-world driving scenarios. The specific content and type of notifications used might not represent all possible smartwatch interactions.

Reliability & validity

The use of a driving simulator and objective performance measures (reaction time, lane position) enhances the internal validity. However, the ecological validity might be limited by the artificiality of the simulation. Reliability would depend on the consistency of the simulator and the participant instructions.

Think critically

Given that smartwatches offer quicker visual access to notifications, how can designers leverage this speed while mitigating the prolonged visual engagement and subsequent distraction observed in this study?

05

Design Principles

"Minimize cognitive and visual load during safety-critical tasks."

As smartwatches become more prevalent, designers must consider their impact on user attention in safety-critical contexts like driving. Understanding these distractions is crucial for developing features that minimize risk and for informing users about potential hazards.

06

What This Means for Your Design

Using a smartwatch to check messages while driving is actually more distracting than using your phone because you end up looking at it for longer periods, even though you might glance at it faster.

How to use in your project

  • 1.Use this study to justify the importance of investigating user distraction when designing interactive systems for mobile or automotive use.
  • 2.Cite the findings to support claims about the potential negative impacts of wearable technology on user performance in safety-critical tasks.
07

Add to My Project

08

Quick Cite

Paragraph starter

Research by Giang, Chen, and Donmez (2017) demonstrated that interacting with smartwatch notifications while driving leads to increased visual distraction and slower reaction times compared to smartphone notifications. Their findings, derived from driving simulator experiments, indicated longer glance durations and increased lane position variability when using smartwatches, underscoring the need for careful design considerations when integrating wearable technology into safety-critical contexts.

09

Source

International Journal of Mobile Human Computer Interaction

Smartwatches vs. Smartphones

journal · 2017

View source

Questions About This Research

What does the research say about smartwatch notifications increase driver distraction compared to smartphones?
When designing for automotive integration or considering device use in safety-critical environments, prioritize minimal interaction time and visual load, especially for notification-based features. Evidence: International Journal of Mobile Human Computer Interaction (2017).
Why does "Smartwatch notifications increase driver distraction compared to smartphones" matter for design?
As smartwatches become more prevalent, designers must consider their impact on user attention in safety-critical contexts like driving. Understanding these distractions is crucial for developing features that minimize risk and for informing users about potential hazards.
How can designers apply this research?
When designing for automotive integration or considering device use in safety-critical environments, prioritize minimal interaction time and visual load, especially for notification-based features.
What were the main findings?
Participants were faster to visually engage with smartwatch notifications but took longer to complete the interaction.. Longer glance durations and more frequent glances exceeding 1.6 seconds were observed with smartwatches.. Smartwatch use resulted in longer brake reaction times and increased lane position variability compared to a no-device baseline.. Both smartwatch and smartphone use increased self-reported perceived risk.
What research method was used?
Experimental (Driving Simulation).
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2017 journal from International Journal of Mobile Human Computer Interaction.
What should I do differently in my next project?
When developing or integrating wearable technology for use in vehicles, conduct rigorous testing to quantify distraction levels and prioritize designs that reduce interaction time and visual attention away from the road.
What are the limitations?
The study was conducted in a simulator, which may not fully replicate real-world driving conditions. The specific types of notifications and interaction methods may influence results.