[EMOXG] Gauging the degree of consensus over <emotion>

Dear all,

I would like to pick out one issue from the minutes of the face-to-face 
meeting, to see if the group as a whole agrees: the discussion and 
consensus over Core 1 "Type of emotion-related phenomenon". See the 
minutes of f2f session 4 at [1].

In summary, there was consensus at the face-to-face to use a simple 
<emotion> element, with no attribute "type" and no 
"emotion-related-states-set" either. Instead, the type of 
emotion-related state would be encoded in the set of descriptors used. 
For example:

 <category set="myMoods" name="depressed"/>

There are two kinds of reasons for this choice, practical and conceptual.

Practical reasons for the simplified format

Practically, it seems cumbersome to write, every time that we want to 
give an annotation of a mood,

<emotion type="mood" set="some-set-of-affective-types">
     <category set="myMoods" name="depressed"/>


<affect type="mood" set="some-set-of-affective-types">
     <category set="myMoods" name="depressed"/>

There seems to be a real danger to be drowned in "scientific overhead" 
to an extent that inhibits everyday adoption of the format.

The reason why <emotion> seems more appropriate than <affect> or <state> 
is the plugin nature of the EmotionML. Users will have an intuitive 
understanding of what an <emotion> is; for <affect> or <state>, that is 
less clear.

Conceptual reasons for the simplified format

Conceptually, the definition of affective state was actually happening 
at two levels independently: on the one hand, the affect type; on the 
other hand, the set of categories or dimensions to use.

It seems very easy to do nonsensical things with the combination of 
affect type and plugin set. For example, an affect type of "mood" could 
be combined with <appraisals> and <action-tendencies>, which does not 
appear scientifically meaningful if mood is defined as a feeling state 
with no strong relation to specific events.

Similarly, it would be possible to mix up vocabularies intended for one 
type of affective state with the annotation of another type of affective 
state, such as:

<affect type="interpersonal-stance" set="some-set-of-affective-types">
     <category set="myMoods" name="depressed"/>

Only in the hands of very careful experts who know what they are doing 
is this kind of tool "safe" -- for our intended users, most of whom will 
not be experts in emotion theory, this amount of expressive power seems 
just too much.

Benefits of the simpler model

The advantages of the simpler format, unanimously preferred at the 
face-to-face meeting, appear to be:

* simple form

* tag name understandable for the non-expert

* different types of affective states can still be described by using 
plugin vocabularies.

I would like to invite, in particular, those in the group who have 
expressed their preference for one of the options for Core 1 previously 
to consider the above arguments and to state whether they could live 
with the simpler model.

There is no time at this stage for a lengthy discussion, as efforts in 
the remaining 2 1/2 weeks do need to be focused on writing the final 
report (of which I will circulate a draft on Monday). However, I feel it 
is important to know if the f2f result can be considered a "consensus" 
in the group as a whole, or if an issue note should be added explaining 
the different points of view.

Thanks, and best regards,

[1] http://lists.w3.org/Archives/Public/public-xg-emotion/2008Oct/0018.html

Dr. Marc Schröder, Senior Researcher at DFKI GmbH
Coordinator EU FP7 Project SEMAINE http://www.semaine-project.eu
Chair W3C Emotion ML Incubator http://www.w3.org/2005/Incubator/emotion
Portal Editor http://emotion-research.net
Team Leader DFKI Speech Group http://mary.dfki.de
Project Leader DFG project PAVOQUE http://mary.dfki.de/pavoque

Homepage: http://www.dfki.de/~schroed
Email: schroed@dfki.de
Phone: +49-681-302-5303
Postal address: DFKI GmbH, Campus D3_2, Stuhlsatzenhausweg 3, D-66123 
Saarbrücken, Germany
Official DFKI coordinates:
Deutsches Forschungszentrum fuer Kuenstliche Intelligenz GmbH
Trippstadter Strasse 122, D-67663 Kaiserslautern, Germany
Prof. Dr. Dr. h.c. mult. Wolfgang Wahlster (Vorsitzender)
Dr. Walter Olthoff
Vorsitzender des Aufsichtsrats: Prof. Dr. h.c. Hans A. Aukes
Amtsgericht Kaiserslautern, HRB 2313

Received on Sunday, 2 November 2008 03:07:57 UTC