Aucb.523
fa.editor-p
utcsrgv!utzoo!decvax!ucbvax!C70:editor-people
Wed Feb 24 13:44:20 1982
HUMAN-NETS discussion of editors
>From Admin.JQJ@SU-SCORE Wed Feb 24 13:41:33 1982
There has recently been quite a bit of discussion on HUMAN-NETS concerning
text editors.  Much of that is random flaming about the relative advantages
of WordStar vs. Electric Pencil vs. Emacs vs. Teco, or discussion of mode
based vs. modeless editors (generally with little agreement over definitions
of "mode").  However, there is some overlap with our discussions, and some
material there which many of the people on this mailing list might be
interested in seeing.

I have extracted all (most) of the HUMAN-NETS messages on editing published
so far in 1982.  Since they total some 80 messages, I have placed them in a
file at SCORE available for anonymous ARPAnet FTP to anyone interested.
They are [SU-SCORE]PS:<ADMIN.JQJ>EDITORMAIL.HUMANNETS, and will be available
on line for at least a couple of weeks.

As an example drawn from this pool, I am forwarding a request for
information.  Perhaps one of you kind readers with a bent for cognitive
psych might be able to help this person.
               ---------------

Date: 17 February 1982 1639-EST (Wednesday)
To: HUMAN-NETS at MIT-MC
From: Jeff.Shrager at CMU-10A
Subject: Perceived or actual complexity of systems

I am seeking pointers to papers etc on the actual or perceived
complexity of programming languages, systems, interfaces, or processes
relating to computers (debugging, editing, etc).  Are there any good
dimensions along which to measure perceived complexity?  Have any
experiments been done to measure this?  (Note that the kind of
complexity that we are interested in is not directly related to
complexity of algorithms whose metric is of the sort: NSquared, or
NLogN.  Rather, we are looking for measures in terms of learning
curves, or function use statistics (or anything else that might
indicate this sort of "human" complexity, not "mathematical"
complexity)).

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