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Dipl-Inf Babara Großmann-Hutter
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2005
Recognition of Psychologically Relevant Aspects of Context on the Basis of Features of Speech
Jameson, A., Großmann-Hutter, B., Müller, C., Wittig, F., Kiefer, J., and Rummer, R.
In Proceedings of the Second International Workshop on Modeling and Retrieval of Context in conjunction with IJCAI'05. Edinburgh, UK
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Especially in mobile systems, one important part of the context of use
involves psychological variables like cognitive load and time pressure. This abstract looks at one possible way of capturing such aspects of context: the analysis of features of the users' speech. In a replication and extension of an earlier study of our group, we created four experimental conditions that varied in terms of whether the user was (a) navigating within a simulated airport terminal or standing still; and (b) subject to time pressure or not. The speech produced by these subjects was coded in terms of 7 variables. We trained dynamic Bayesian networks on the resulting data in order to see how well the information in the users' speech could serve as evidence as to which condition the user had been in. The results give information about the accuracy that can be attained in this way, the methods that can be used to implement the classiers, and the diagnostic value of some specic features of speech.
2002
Empirically Grounded Decision-Theoretic Adaptation to Situation-Dependent Resource Limitations
Thorsten Bohnenberger, Boris Brandherm, Barbara Großmann-Hutter, Dominik Heckmann, Frank Wittig
Special Issue "Adaptivity and User Modeling", KI-Journal, Vol.3, 2002, pages 10-16
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This article summarizes research on several interrelated general issues that can arise in the design and development of user modeling systems: the learning and subsequent adaptation of general user models on the basis of empirical data; the modeling of temporally variable properties of users, in particular time pressure and cognitive load; and the user-adaptive planning of interactions under uncertainty. The methods and results are integrated and illustrated with a prototype of a mobile assistance system for travelers in an airport.
2001
Recognizing Time Pressure and Cognitive Load on the Basis of Speech: An Experimental Study
Müller, C., Großmann-Hutter, B., Jameson, A., Rummer, R.,
and Wittig, F.
In UM2001, User Modeling: Proceedings of the Eighth International Conference. New York - Berlin: Springer
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In an experimental environment, we simulated the situation of a user
who gives speech input to a system while walking through an airport. The time
pressure on the subjects and the requirement to navigate while speaking were
manipulated orthogonally. Each of the 32 subjects generated 80 utterances, which
were coded semi-automatically with respect to a wide range of features, such as
filled pauses. The experiment yielded new results concerning the effects of time
pressure and cognitive load on speech. To see whether a system can automatically
identify these conditions on the basis of speech input, we had this task performed
for each subject by a Bayesian network that had been learned on the basis of the
experimental data for the other subjects. The results shed light on the conditions
that determine the accuracy of such recognition.
1999
Experimentelle Untersuchung von Spracheingaben unter kognitiver Belastung zur Benutzermodellbildung
Großmann-Hutter, B. and Müller, C.
In ABIS-99, Adaptivität und Benutzermodellierung in interaktiven Softwaresystemen. Magdeburg, Germany: Otto-von-Guericke University
[BibTeX]