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call for datasets for psychophysical stationarity study
- To: AUDITORY@xxxxxxxxxxxxxxx
- Subject: call for datasets for psychophysical stationarity study
- From: Thomas Tanner <tanner@xxxxxxxxxxxxxxxx>
- Date: Mon, 20 Sep 2004 13:58:47 +0200
- Delivered-to: GMX delivery to tanner@gmx.de
- Delivery-date: Mon Sep 20 08:57:33 2004
- Organization: Max-Planck-institute for biological cybernetics, Tuebingen, Germany
- Reply-to: Thomas Tanner <tanner@xxxxxxxxxxxxxxxx>
- Sender: AUDITORY Research in Auditory Perception <AUDITORY@xxxxxxxxxxxxxxx>
- User-agent: Mozilla/5.0 (X11; U; Linux i686; en-GB; rv:1.6) Gecko/20040530 Debian/1.6-6.backports.org.1
[apologies for possible cross-posting]
Dear colleagues,
I'm investigating stationarity of human performance in psychophysical
tasks with respect to time and previous trials, and am trying to collect
large amounts of trial-by-trial data for this purpose.
I am looking for existing psychophysical data sets of constant stimuli
(block design) experiments, preferably from long-running experiments.
The requirements for my analysis are:
* the subjects must be human
* raw stimulus intensities and responses must be recorded
trial-by-trial, preserving information about:
- the order of the trials
- how they are divided into blocks, and
- (where possible) in which session or day the block was performed
- which data points belong to the same psychometric function (i.e.
data must separated according to subjects and experimental conditions)
About the experiment I would also need to know the design (nAFC etc),
type of feedback and the amount/type of training before the experiment.
The type of experiment itself, the meaning of the different conditions,
would possibly be useful to know, but could equally be withheld if you
prefer.
I would be very pleased to hear from you if you have data sets which
roughly meet these requirements, and which you would be willing to let
me download, or to upload to my ftp server. Contributors will be
gratefully acknowledged in my reports and publications.
Thanks in advance
Best regards,
Thomas Tanner