Human beings can see the spatial relations among objects by processing

Question

Competition Mode Question

Human beings can see the spatial relations among objects by processing information conveyed by light. Scientists trying to build computers that can detect spatial relations by the same kind of process have so far designed and built stationary machines. However, these scientists will not achieve their goal until they produce such a machine that can move around in its environment.

Which of the following, if true, would best support the prediction above?

(A) Human beings are dependent on visual cues from motion in order to detect spatial relations.
(B) Human beings can often easily detect the spatial relations among objects, even when those objects are in motion.
(C) Detecting spatial relations among objects requires drawing inferences from the information conveyed by light.
(D) Although human beings can discern spatial relations through their sense of hearing, vision is usually the most important means of detecting spatial relations.
(E) Information about the spatial relations among objects can be obtained by noticing such things as shadows and the relative sizes of objects

eakabuah · Accepted Answer

The answer is option A.

Premise 1: Human beings can see the spatial relations among objects by processing information conveyed by light.
Premise 2: Scientists trying to build computers that can detect spatial relations by the same kind of process have so far designed and built stationary machines.
Conclusion: These scientists will not achieve their goal until they produce such a machine that can move around in its environment.

Necessary Assumption: Only machines capable of moving around can detect spatial relations among objects.

Any answer choice that supports the conclusion that the scientists will not achieve their goal with their current design of machines that are stationary and reinforces the assumption that the detection of spatial relations among objects is only possible for a body capable of motion or for a body in motion will strengthen the argument.

Option A states that Human beings are dependent on visual cues from motion in order to detect spatial relations. This means that the ability of humans to detect spatial relations among bodies hinges on their capability to move, since humans depend on visual cues from motion. This is in line with the argument and the necessary assumption stated above.

The only contender for option A is option B. Option B states that Human beings can often easily detect the spatial relations among objects,  even when those objects are in motion . Although option B talks about motion, it rather focuses on the motion of the spatial bodies. But the idea of the argument is not for the spatial bodies themselves to move, but the device or humans who are to detect the spatial relations must rely on their motion. Hence, although B talks about motion, it focuses on the motion of the spatial body themselves without mentioning the need for the detecting body or system to rely on their ability to move in order to detect the spatial relations.

exc4libur · Answer

ARGUMENT
  humans can see spatial relations among objects by processing light;
  scientists building computers that can detect these relations have so far designed stationary machines;
  they will not achieve their goal unless they produce a machine that can move around its environment;
  we need to link how humans see spatial relations through light + movement.

Ans (A)  if humans weren't dependent on cues from motion than the argument would fall.

Tracy95 · Answer

It's clear A.

Premise:  
Human beings see the spatial relations among objects by processing information conveyed by light 
Stationary machines detect spatial relations by the same kind of process 
 Conclusion:  These stationary machines won't serve the purpose unless they can move around

Clearly there is a gap in the argument. There must be an idea that connects the information processing and the necessity of mobility during the process. (A) is what we're looking for: Human beings are dependent on visual cues from motion in order to detect spatial relations.

Archit3110 · Answer

IMO A: 
Human beings are dependent on visual cues from motion in order to detect spatial relations.

Human beings can see the spatial relations among objects by processing information conveyed by light. Scientists trying to build computers that can detect spatial relations by the same kind of process have so far designed and built stationary machines. However, these scientists will not achieve their goal until they produce such a machine that can move around in its environment.

Which of the following, if true, would best support the prediction above?

(A) Human beings are dependent on visual cues from motion in order to detect spatial relations.
(B) Human beings can often easily detect the spatial relations among objects, even when those objects are in motion.
(C) Detecting spatial relations among objects requires drawing inferences from the information conveyed by light.
(D) Although human beings can discern spatial relations through their sense of hearing, vision is usually the most important means of detecting spatial relations.
(E) Information about the spatial relations among objects can be obtained by noticing such things as shadows and the relative sizes of objects

freedom128 · Answer

(A) Human beings are dependent on visual cues from motion in order to detect spatial relations.
 CORRECT ANSWER. This is exactly the logical reason why the scientists will not achieve their goal until they produce such a machine that can move around in its environment. 
 
(B) Human beings can often easily detect the spatial relations among objects, even when those objects are in motion.
 If this is true, then the machine doesn't need to be able to move around in its environment

(C) Detecting spatial relations among objects requires drawing inferences from the information conveyed by light.
 This is a new information that neither supports nor contradicts the prediction.  
 
(D) Although human beings can discern spatial relations through their sense of hearing, vision is usually the most important means of detecting spatial relations.
 Detecting spatial relations through hearing neither supports or contradicts the prediction. This information is simply out of scope.

(E) Information about the spatial relations among objects can be obtained by noticing such things as shadows and the relative sizes of objects
 There is no logical association between this new information and the prediction. This information is simply out of scope

Final answer is (A)

OC2910 · Answer

imo A
we know author says the device should be able to move to be in practical use
so Moving must be important 
therefore option A it is as it says moving is important part

amak9114 · Answer

Can someone help me understand this how A references the ability to move? "visual cues from motion" sounds to me like observing things that move, not the ACT of moving. I had a hard time picking A here for this reason. Please let me know whether my doubt is a valid one.

jaisonsunny77 · Answer

Type: Strengthen the prediction.

Prediction: these scientists will not achieve their goal until they produce such a machine that can move around in its environment.

(A) Human beings are dependent on visual cues from motion in order to detect spatial relations. - (A) lays emphasis on the link between visual cues and motion. Without such cues from motion, humans wouldn't be able to detect spatial relations. Hence, if the computers were to emulate this capability of humans, one could reasonably argue that these computers must also have 'motion' incorporated in its design; This school of thought is perfectly represented in (A). Therefore,    (A) is the right answer choice.     
(B) Human beings can often easily detect the spatial relations among objects, even when those objects are in motion.  -  (B) talks about the "human capability" to detect spatial relations. (B) does not help explain why ''motion'' should be incorporated into the design of computers that emulate the human capability to detect spatial relations.   
(C) Detecting spatial relations among objects requires drawing inferences from the information conveyed by light.  -  irrelevant to the prediction stated above. 
(D) Although human beings can discern spatial relations through their sense of hearing, vision is usually the most important means of detecting spatial relations. - does not help explain why ''motion'' should be incorporated into the design of computers that emulate the human capability to detect spatial relations. 
 (E) Information about the spatial relations among objects can be obtained by noticing such things as shadows and the relative sizes of objects  -  irrelevant.

himadeepm · Answer

This is a conditional reasoning : scientists will not achieve their goal  until  they produce 
Cause: they produce such a machine that can move around
effect:scientists will achieve their goal

A causes B can be strengthened in 5 ways. Pls Look in the Answer choices for one of the ways mentioned below
1. No other cause causes A
2.Cause produces effect
3.If cause doesn't occur, effect doesn't occur
4.Reverse relation is not possible(B->A)
5.Data is accurate (No statistical problem)

mSKR · Answer

i think it means observing while the machine is in motion.
the first part of argument mentioend scientists built stationary machinese but never mentioned they built based on visual cues. 
 for computer machines: need process + visual cues  
process =same as stationalry machines
visual cues= option A--> based on motion

Navaneethcs · Answer

Little tricky but good question!

playthegame · Answer

Good question, A and B are close choices, I think the difference is that in A - if the humans themselves are dependent on the taking cues on spatial relations during their motion then the scientists will be able to achieve their plan.

B talks about motion of objects themselves, not the motion of the machine or humans, so we will need to discard, close choice.

egmat · Answer

This is a strengthen question, which is asking you to support a pretty specific prediction about why scientists need to build  moving  machines. Let's break this down together!

Understanding the Core Argument

The passage tells you that scientists have built stationary machines that detect spatial relations using light (just like humans do). But then it predicts these scientists won't truly succeed  until  they build machines that can move around. That's a pretty strong claim - it's saying movement is absolutely necessary, not just helpful.

What We Need to Find

To strengthen this prediction, you need evidence that explains  why  movement is essential for detecting spatial relations the way humans do. Think about it: if the stationary machines already process light information, what crucial element are they missing that only movement can provide?

Let's Evaluate the Key Choices

When you look at choice (A), notice how it says humans are  dependent  on visual cues from motion to detect spatial relations. This is exactly what you're looking for! If humans actually need motion-based visual information to detect spatial relations, then those stationary machines are fundamentally missing a crucial component. They can't replicate the human process without being able to move.

Now compare this to choice (B) - it says humans can easily detect spatial relations even when objects are moving. But wait, this doesn't explain why the  machine  needs to move. In fact, it might even suggest that movement isn't necessary for the detection process itself.

Choice (C) talks about drawing inferences from light, but stationary machines can already do that. Choices (D) and (E) give you information about spatial detection methods, but none of them explain why mobility would be essential.

The answer is (A) because it directly explains why the prediction would be true - if human spatial detection depends on visual cues from motion, then machines must be able to move to truly replicate this human ability.

You can check out the  step-by-step solution on Neuron by e-GMAT  to master the systematic framework for strengthen questions and learn how to identify the logical gap quickly. You can also explore other GMAT official questions with detailed solutions on Neuron for structured practice  here .

Human beings can see the spatial relations among objects by processing

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GMAT Critical Reasoning (CR) Questions

Human beings can see the spatial relations among objects by processing

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