This can go in many ways. It's really hard to answer, particularly as there are mere two examples.
But as an attempt, consider the following model.
Generative cognition

Basically, any stimuli we're exposed to goes through a process of correlation (or pattern-matching) with existing knowledge. If a match is found, then the input challenge is said to be 'resolved'. Sometimes this means we understand something (internal effect), sometimes it means we make a decision that leads to an action (external effect).
The main point is that cognition in response to stimuli is 'generative' (a term borrowed from visual perception theories): it's a fusion between our senses' input and our existing 'knowledge' as determined by our past experiences.
Then, this happens on various levels. From the low level ability to recognise a square as a square, to the high level ability to understand an intentional model diagram.
Interpretation
Now I guess by 'detailed' stuff, you mean that the stimuli are flawed. This will cause a problem with interpretation - one cannot link a low-level stimuli (like a button label) to a higher level semantic (like what the button does). Yet, interpretation - the ability to recognise things for what they are - is a relatively 'simple' process. Misinterpretation issues are often easily solved.
Mental models
On the other hand, if the stimuli are fine, but users have no existing high-level knowledge to make use of them, users are said to be lacking an appropriate mental model. This is a much bigger problem, since establishing mental models typically takes effort and time.
Somewhat related is the concept of comprehension - the high level ability to understand complex problems.
Examples
X has a coefficient of 7
For someone who doesn't know what coefficient is, this sentence (arguably) pose a problem of interpretation. It can easily be fixed by rewriting: "X is multiplied by 7".
While the dynamic range of floating-point numbers is beyond any practical calculation mankind will need, the signal to noise ratio of each sample is never greater than the resolution of the mantissa + one bit.
Well... this sentence will be crystal clear to people who are experts in digital audio, but it would take a good 5-day seminar to explain it to the layman. Neither the terms, nor the comprehension of what they stand for and how they link together is part of the layman's mental model.
Summary
So you really have two sets here:
- Interpretation vs. Mental models
- Low level vs. high level
Again, it's hard to give a more definite answer without more examples. But I'm inclined to say it's more of an interpretation vs mental models case.