this post was submitted on 08 Feb 2024
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An eye-catching new study shows just how different the experience of walking home at night is for women versus men.

The study, led by Brigham Young University public health professor Robbie Chaney, provides clear visual evidence of the constant environmental scanning women conduct as they walk in the dark, a safety consideration the study shows is unique to their experience.

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[–] tiramichu@lemm.ee 70 points 9 months ago* (last edited 9 months ago) (8 children)

Interesting.

I'm certain there are very real differences between men and women in this regard, but the methodology feels like it reduces the quality of the data.

It would have been nice if the researchers could have used eye tracking to see where people were actually looking, rather than asking them to click on what drew their attention. There's surely at least some difference between what people are actually doing, versus what they self-report as doing when asked about it.

[–] dzaffaires@sh.itjust.works 18 points 9 months ago (3 children)

I felt the same. Or better yet, why don't they film participants in real life walking outside at night and tracking eyeballs and heartbeats and other metrics.

[–] tiramichu@lemm.ee 13 points 9 months ago* (last edited 9 months ago) (2 children)

I thought that too, but being at night and unsociable hours makes it a more difficult study to perform, and also difficult to control the conditions. So I can accept the desire to simulate it in a lab setting.

Perhaps ideal would have been a VR experience of walking in a nighttime location, which could have done the eye tracking (VR headsets can do that) and also would be identical every time.

[–] thatsTheCatch 13 points 9 months ago (1 children)

The methodology also allows lots of people to participate (600 in the study). If they had to actually walk outside then it would almost certainly reduce the number of participants they were able to have.

A VR type thing could be good

[–] Treczoks@kbin.social 3 points 9 months ago

While it increases the N of the study, I'd say it severely cripples the quality of those results. Sometimes less is actually more.

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