From emotion to interaction: Lessons from real human-machine dialogues. Batliner, A.; Hacker, C.; Steidl, S.; Nöth, E.; and Haas, J. In André, E; Dybkjaer, L.; Minker, W.; and Heisterkamp, P, editors, Affective Dialogue Systems, pages 1-12. Springer, Berlin.
From emotion to interaction: Lessons from real human-machine dialogues [link]Paper  abstract   bibtex   
The monitoring of emotional user states can help to assess the progress of human-machine-communication. If we look at specific databases, however, we are faced with several problems: users behave differently, even within one and the same setting, and some phenomena are sparse; thus it is not possible to model and classify them reliably. We exemplify these difficulties on the basis of SympaFly, a database with dialogues between users and a fully automatic speech dialogue telephone system for flight reservation and booking, and discuss possible remedies.
@incollection{batliner_emotion_2004,
	Address = {Berlin},
	Author = {Batliner, Anton and Hacker, Christian and Steidl, Stefan and Nöth, Elmar and Haas, Jürgen},
	Booktitle = {Affective Dialogue Systems},
	Date = {2004},
	Date-Modified = {2016-09-24 18:55:58 +0000},
	Editor = {André, E and Dybkjaer, Laila and Minker, Wolfgang and Heisterkamp, P},
	File = {Attachment:files/932/Batliner et al. - 2004 - From emotion to interaction Lessons from real human-machine dialogues.pdf:application/pdf},
	Keywords = {dialogue systems, emotions, speaking styles, speech technology},
	Pages = {1-12},
	Publisher = {Springer},
	Title = {From emotion to interaction: Lessons from real human-machine dialogues},
	Url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.108.8857},
	Abstract = {The monitoring of emotional user states can help to assess the progress of human-machine-communication. If we look at specific databases, however, we are faced with several problems: users behave differently, even within one and the same setting, and some phenomena are sparse; thus it is not possible to model and classify them reliably. We exemplify these difficulties on the basis of SympaFly, a database with dialogues between users and a fully automatic speech dialogue telephone system for flight reservation and booking, and discuss possible remedies.},
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