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Following the work of Stanley Stevens, psychophysical functions of stimulus intensity are commonly assumed to follow power laws, as illustrated below: power law exponents graph

This appears to be true for a wide variety of different types of stimuli and sensations. A table that is often presented to illustrate this generality is from Stevens, 1975:

power law exponents table

However, it is not obvious from perusing this table what kinds of stimuli tend to be associated with what kinds of power exponents -- in particular, what kinds of stimuli tend to be associated with positively accelerated psychophysical functions of intensity vs. negatively accelerated psychophysical functions of intensity. Indeed, the exponents in the table above appear to be distributed rather haphazardly to me, and I have not seen any mention of work suggesting it is otherwise in my admittedly limited literature search.

So my question is: Is anyone aware of research that attempts to characterize what kinds of stimuli tend to be associated with what kinds of psychophysical functions of stimulus intensity? If so, what is the basic summary from this research, and what are some suggested readings? As hinted above, I am particularly interested in stimulus features that predict positively vs. negatively accelerated psychophysical functions of stimulus intensity, but references to and descriptions of more specific research questions are also quite welcome.

Update: I thought it might help to say just a little bit more about exactly what I'm interested in finding out here, in as clear and concise a way as I know how. What I am looking for are any references to review papers and/or research articles that are about (or even that just mention) predicting the form of the psychophysical power law across a range of different stimuli, using stimulus-level predictors. It is hard to extract any general conclusions about this from Stevens's table above, given that the power law exponent appears to vary widely, sometimes being >1 and sometimes <1, even for stimuli on the same psychological continuum, as in the cases of "Taste" and "Warmth." The point of the table (and indeed the body of research that it is based on) is just to show that these functions follow power laws of some kind or other -- while this is mildly interesting, what I really want to know is how well we can predict what kinds of power laws different stimuli will follow. Please let me know if I can offer any additional clarification.

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Speculation: (I couldn't find any research to confirm my intuition about this) Negative exponent is for sensory information that's integrated into contextual processing, it's adaptive, so it has less of an effect as more is present and the mind adapts to the stimulus. Positive exponent is more related to an alert system. There's a threshold at which it takes off (similar to a transistor). Note: Wikipedia documents some strong criticisms of Steven's Power Law. –  Keegan Keplinger Oct 21 '12 at 3:48
    
Thanks for the comment; I welcome speculation. I am aware of some of the criticisms of the evidence for universal power functions, but just to be clear to other readers: I would prefer not to have this thread veer off into that discussion if it can be helped. Whether the most accurate psychophysical function is actually power, log, exponential, or whatever, the important point for the purposes of this thread is just that some types of stimuli are characterized by more quickly increasing slopes than others, and I am interested in the stimulus factors that influence this variability. –  Jake Westfall Oct 21 '12 at 6:23
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Mainly: the choice of variables.

Beware that the exponent depends on the choice of parameters; or even worse - relations can change from power-law to linear, logarithmic or exponential, with redefining variables.

E.g. you can measure sound volume in either amplitude, energy density (square of the amplitude) or dB (logarithm of the first one). None of it is privileged. Moreover, "psychological magnitude" needs exact definition, for the same reason (so not only to specify which type of reaction is that but what is the exact physical quantity being measured).

In general, if you consider only qualitative parameters, then you can look at only at qualitative behaviour of the relation (e.g. if it is monotonous). To calculate exponents (or even - to claim that a certain relation is a power function) it is not enough.

Of course, there are many adaptations to make sensitivity higher (e.g. edge detection) or lower (e.g. to see well in lighting conditions differing by order of magnitude, in terms of light intensity). But to compare their exponents, for the comparison to make sense, you need to have a very good justification for the right choice of variables.

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Thanks for the information Piotr. Do you have any citations/references to papers that have considered the issues that you discussed? –  Jake Westfall Oct 25 '12 at 9:13
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Well, it's a piece of any standard physics introduction that: you cannot compare different variables (e.g. what is more: one meter or one kilogram) unless you have relations between them. And both depending on the choice of variables, and of the constrains, you obtain vary different relations between "physical quantities". For example, take "heat" as a function of "electricity" - i takes no sense. Even if restrict ourselves to "heat" = energy generated per second (W), (I - current, U - voltage, R - resistance) then it can be W(U) = I U, W(U) = U^2/R, W(I) = I U, W(I) = R I^2, ... –  Piotr Migdal Oct 25 '12 at 9:54
    
Now I'm away from may books, but it should be is something like "Feynman lectures on physics" or, if you want something more specific, look at dimensional analysis (there you see very well that also the constrains change relations drastically). –  Piotr Migdal Oct 25 '12 at 9:58
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I don't know psychological papers on it. But well, it's fundamental stuff and the Nature does not care if psychologist know it or not. (Compare as if some guys used 2+2=5 claiming "hey, but there is no paper in our field disproving that".) I know some well more subtle papers (e.g. arXiv:1102.4101 when it is argued that a certain statistical relation in data-drive sociology is not necessary a power law). Also, I bet that most of mathematical psychologists know are very well aware of it. Sadly, I have doubts whether standard psychologists are enough educated. –  Piotr Migdal Oct 25 '12 at 22:17
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@Jake It's not that unlikely that for some it's "so obvious, there is no point of writing a paper about it" and the others are not aware of that issue (anyway, it requires a certain proficiency in natural sciences), with not that many in between. But hey - maybe there is place for you to clarify. Are you writing a paper when you want to refer to material of the question that you asked? –  Piotr Migdal Oct 27 '12 at 15:04
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