selective attention test
Daniel Simons3 HN recommenders · recommended in 3 months, 2011–2025
demo · general · evergreen · 2011–2025 on HN
The original invisible gorilla awareness test by Daniel Simons and Christopher Chabris, in which viewers count basketball passes and often miss a gorilla crossing the scene. It demonstrates inattentional blindness.
HN uses it constantly as the classic demonstration that attention is selective, in threads on driving, motorcycles, AI and perception.
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12 comments from Hacker News
As a motorcyclist -- and lifelong learner w/ a degree in cognitive psychology -- I really appreciate demonstrations like this one^1 from Daniel Simons. It's a short video (< 90s), but for many first-time viewers, it's an eye-opening experience. ^1. ▶ this video Edit: just saw @elosarv's link to a longer but more relevant "motorcycle invisibility training" video ( link
It's called Selective Attention which explained in another comment: > Notably, people tend to see what they expect to see. > When they are looking for cars, they tend not to see motorcycles, even when they are in plain view. Watch/take this Selective Attention test (1 min 22 sec): ▶ this video
This is sound advice. The only time I've made contact with a moving car as a cyclist was when I was going past an off-ramp. The weird thing was that I thought the driver "saw me". It was late morning, no problem with visibility. From my POV, she was looking right at me. In fact, she was looking "through" me. She simply was expecting other cars and a person on a bike was not what she was looking for. Human attention is very much selective. Check out this shocking video: ▶ this video After that, I ride with a bright flashing headlight at all times, even daylight. It gives some measure of protection, I think.
It is true most humans can not track more than 5 objects concurrently. However, lidar data sets tend to produce sparse unambiguous point cloud data that is a lot more feasible to process. For example, a picture/reflection of a road on a bus is not a viable option with 3D data. Cheers =3 ▶ this video
Humans seem to me to be just as likely to make these kinds of errors in the general case. See the classic ▶ this video , which has an interesting parallel with this paper.
> maybe you shouldn't dress like that if you don't want the attention. Have you ever taken the selective attention test? ▶ this video (short 1:22 video)
Never made that claim, but dawn and dusk are the most risky. Mine happened on a lunch break, can't see through rock either. But you only see a fraction of the wildlife that is there. If your sole stratagy is to see them you may be surprised how many deer hit the sides of cars. Complacency and selective attention are very real human problems. The classic basketball game example of selective attention if you don't buy it. ▶ this video
A friend who lives in North Carolina sent me a video of the raging floodwaters in his state- at least that's what the superimposed text claimed it was. When I looked closer, it was clearly an Indian city filled with Indian people and Indian cars. He hadn't noticed anything except the flood water. It reminded me of that famous selective attention test video[1]. I won't ruin it for those who haven't seen it, but it's amazing what details we can miss when we aren't looking for them. I suspect this is made even worse when we're casually viewing videos in a disjointed way as on social media and we're not even giving one part of the video our full attention. 1. ▶ this video
Yup, you can't move to them. Weirdly I didn't notice them at all until several attempts in (and was getting confused as to why certain moves weren't allowed), in a way that reminded me of the Selective Attention Test[0]. Once I'd clocked them I was able to solve it pretty quickly. [0] ▶ this video
Sure, but does it pass the Selective Attention Test? ▶ this video (I don't know, I don't have access.)
> it doesn't understand its own limitations, ie it has no self awareness. And how much self awareness do humans have, exactly? We walk around with heads filled with false memories[1], accidentally ignore surprisingly prominent stimuli[2], and struggle to understand things as simple as material color[3]. And people are mostly unaware of these limitations, or those examples would not be considered surprising! I think we plan around the limitations we observe, not our real limitations. If that's the case, then LLMs simply lack training data to notice those limitations. [1] link [2] ▶ this video (old selective attention test) [3] link
This old psychology video comes to mind. ▶ this video Also, in San Francisco a lot of the "paint" in the crosswalks is little plastic pellets melted. I have had my rear wheel slide out going over the thick white crosswalk bars. Best to keep off the throttle and roll over them. Same for the giant metal plates they use to cover up ongoing construction projects. They can be very slippery.