Short answer

Designers should acknowledge and leverage the natural tendency for users to revisit previously viewed information to reduce motor effort, rather than solely focusing on novel exploration.

Field
Human Factors
Source
Proceedings of the National Academy of Sciences (2024)
Method
Observational study with a computational modeling component.
Sample
169 recordings (26.6 hours of data)
Evidence
Strong effect

In naturalistic tasks, the human visual system tends to return to recently viewed locations rather than exploring new ones, driven by a conservation of motor effort. This human factors research insight is drawn from a 2024 study published in Proceedings of the National Academy of Sciences. Using Observational study with a computational modeling component. with 169 recordings (26.6 hours of data), researchers explored how this design variable affects real-world outcomes. The key design takeaway: Designers should acknowledge and leverage the natural tendency for users to revisit previously viewed information to reduce motor effort, rather than solely focusing on novel exploration.

Study
Human FactorsRecentStrong effect

Motor 'laziness' prioritizes return fixations in real-world tasks

In naturalistic tasks, the human visual system tends to return to recently viewed locations rather than exploring new ones, driven by a conservation of motor effort.

Proceedings of the National Academy of Sciences · 2024

01

Key Findings

  • 01Participants most frequently returned to recently viewed locations across all tested tasks.
  • 02Saccade latencies were shorter preceding return saccades than forward saccades, suggesting facilitation rather than inhibition of return.
  • 03Center biases in fixation position and duration relative to head orientation were observed.
  • 04A model simulating scanpaths based on observed distributions reproduced the observed return phenomena.
  • 05Inhibition of return was observed in one task (building a Lego set) after controlling for orbital eccentricity, suggesting a balance between motor cost minimization and reward maximization.
02

Application

Design takeaway

Designers should acknowledge and leverage the natural tendency for users to revisit previously viewed information to reduce motor effort, rather than solely focusing on novel exploration.

How to apply

When designing interfaces for tasks involving information retrieval or sequential actions, consider how to make returning to previous states or information efficient and intuitive.

Project actions

  • 01Consider how your design might encourage or discourage users from revisiting information.
  • 02Think about the physical effort involved in interacting with your design and how it might influence user behavior.
03

Method & Evidence

AimTo investigate whether mechanisms of fixation selection, such as inhibition-of-return (IOR), observed in controlled laboratory settings influence everyday behavior in real-world tasks.
MethodObservational study with a computational modeling component.
ProcedureParticipants performed nine real-world tasks (e.g., driving, searching, building) while wearing a mobile eye tracker. Scanpath data was collected and analyzed, and a computational model was used to simulate scanpath generation based on observed fixation distributions.
Sample169 recordings (26.6 hours of data)
ContextReal-world task performance (driving, visual search, object manipulation).

Variables

IVTask type (e.g., driving, searching, building).
DVSaccade latency, fixation return frequency, fixation position relative to head orientation.
CVOrbital eccentricity (in some analyses).
04

Strengths & Limitations

Strengths

  • +Investigated behavior in ecologically valid, real-world tasks.
  • +Utilized mobile eye tracking for naturalistic data collection.
  • +Employed computational modeling to validate findings.

Limitations

The specific real-world tasks chosen might not represent all possible user behaviors. The definition of 'motor laziness' could be further refined.

Reliability & validity

Reliability could be enhanced by increasing the sample size and the number of diverse real-world tasks. Validity is strong due to the use of real-world tasks, but the interpretation of 'motor laziness' as the sole driver requires further investigation.

Think critically

How might the balance between minimizing motor costs and maximizing reward (e.g., finding information quickly) shift depending on the criticality of the task and the user's expertise?

05

Design Principles

"Prioritize efficient visual return pathways in interface and environmental design to align with natural human motor conservation tendencies."

This challenges traditional lab findings that emphasize inhibition of return. Understanding this 'motor laziness' is crucial for designing interfaces and environments that align with natural human behavior, potentially improving efficiency and reducing cognitive load in complex tasks.

06

What This Means for Your Design

When you're doing something in the real world, like looking for your keys or driving, your eyes tend to go back to places you just looked at. This is because your body tries to save energy, like being 'lazy' with your eye and head movements. This is different from lab experiments where you might be forced to look at new things.

How to use in your project

  • 1.Reference this study when discussing user behavior in real-world contexts, particularly concerning visual search patterns and the influence of motor effort on interaction design.
07

Add to My Project

08

Quick Cite

Paragraph starter

Research by Burlingham et al. (2024) indicates that in real-world tasks, users exhibit a tendency to return to recently viewed locations, a phenomenon attributed to motor 'laziness' or the conservation of eye and head motor effort. This contrasts with laboratory findings that often highlight inhibition of return. This suggests that design interventions should consider facilitating efficient revisits to information, aligning with natural user behavior to minimize cognitive and physical load.

09

Source

Proceedings of the National Academy of Sciences

Motor “laziness” constrains fixation selection in real-world tasks

journal · 2024

View source

Questions About This Research

What does the research say about motor 'laziness' prioritizes return fixations in real-world tasks?
Designers should acknowledge and leverage the natural tendency for users to revisit previously viewed information to reduce motor effort, rather than solely focusing on novel exploration. Evidence: Proceedings of the National Academy of Sciences (2024).
Why does "Motor 'laziness' prioritizes return fixations in real-world tasks" matter for design?
This challenges traditional lab findings that emphasize inhibition of return. Understanding this 'motor laziness' is crucial for designing interfaces and environments that align with natural human behavior, potentially improving efficiency and reducing cognitive load in complex tasks.
How can designers apply this research?
Designers should acknowledge and leverage the natural tendency for users to revisit previously viewed information to reduce motor effort, rather than solely focusing on novel exploration.
What were the main findings?
Participants most frequently returned to recently viewed locations across all tested tasks.. Saccade latencies were shorter preceding return saccades than forward saccades, suggesting facilitation rather than inhibition of return.. Center biases in fixation position and duration relative to head orientation were observed.. A model simulating scanpaths based on observed distributions reproduced the observed return phenomena.
What research method was used?
Observational study with a computational modeling component. with 169 recordings (26.6 hours of data).
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2024 journal from Proceedings of the National Academy of Sciences.
What should I do differently in my next project?
When designing interfaces for tasks involving information retrieval or sequential actions, consider how to make returning to previous states or information efficient and intuitive.
What are the limitations?
The degree to which motor laziness influences fixation selection can vary significantly with task demands and individual differences. The study focused on a limited set of real-world tasks.