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Prof. Dr. Anthony Jameson
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2007
Looking for Unexpected Consequences of Interface Design Decisions: The MeMo Workbench
Anthony Jameson, Angela Mahr, Michael Kruppa, Andreas Rieger, Robert Schleicher
6th International workshop on TAsk MOdels and DIAgrams (TAMODIA 2007)
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This paper discusses and illustrates work in progress on the MEMO workbench for early model-based usability evaluation of interface designs. Characteristic features of the workbench include (a) the prediction of errors via rules that refer to user attributes; and (b) the automatic generation of methods for performing specific tasks and for recovering from errors.
Learning Ubiquitous User Models based on Users’ Location History
Junichiro Mori, Dominik Heckmann, Yutaka Matsuo, Anthony Jameson
Proceedings of the Workshop on Data Mining for User Modeling at the 11th International Conference on User Modeling (K-DUUM'2007), pp. 40-49
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Recent development of location technologies enables us to obtain the location history of users. This paper proposes a new method to infer users’ long-term properties from their respective location histories. Counting the instances of sensor detection for every user, we can obtain a sensor-user matrix. After generating features from the matrix, a machine learning approach is taken to automatically classify users into different categories for each user property. Inspired by information retrieval research, the problem to infer user properties is reduced to a text categorization problem. We compare weightings of several features and also propose sensor weighting. Our algorithms are evaluated using
experimental location data in an office environment. Our algorithm will bootstrap creating ubiquitous user models to enable context-aware information services.
2006
Assessment of a User's Time Pressure and Cognitive Load on the Basis of Features of Speech
Anthony Jameson, Jürgen Kiefer, Christian Müller, Barbara Großmann-Hutter, Frank Wittig, Ralf Rummer
Journal of Computer Science and Technology
[BibTeX]
2005
Decision-Theoretic Planning Meets User Requirements
Thorsten Bohnenberger, Oliver Jacobs, Anthony Jameson, Ilhan Aslan
Enhancements and Studies of an Intelligent Shopping Guide. Proc. of the 3rd International Conference on Pervasive Computing, 2005 (In Press).
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This paper reports on extensions to a decision-theoretic location-aware
shopping guide and on the results of user studies that have accompanied its development. On the basis of the results of an earlier user study in a mock-up of
a shopping mall, we implemented an improved version of the shopping guide.
A new user study with the improved system in a real shopping mall conrms in
a much more realistic setting the generally positive user attitudes found in the
earlier study. The new study also sheds further light on the usability issues raised
by the system, some of which can also arise with other mobile guides and recommenders. One such issue concerns desire of users to be able to understand and second-guess the system's recommendations. This requirement led to the development of an explanation component for the decision-theoretic guide, which was evaluated in a smaller follow-up study in the shopping mall.
User Experience Design for a Decision-Theoretic Shopping Guide
Oliver Jacobs, Anthony Jameson,Thorsten Bohnenberger and Ilhan Aslan
Workshop on User Experience Design for Pervasive Computing, 2005
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Recognition of Time Pressure via Physiological Sensors: Is the User's Motion a Help or a Hindrance?
Margeritta von Wilamowitz-Moellendorff, Christian Müller, Anthony Jameson, Boris Brandherm, Tim Schwartz
Proceedings of the Workshop "Adapting the Interaction Style to Affective Factors" (UM'2005), Edinburgh, UK, 2005
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[BibTeX]
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The recognition of a user's internal states via physiological sensors
is sometimes seen as a matter of detecting the direct physiological
correlates of the internal states. This type of detection can be
problematic when a user is moving around, as is often the case with
today's mobile systems. We present a study which illustrates that
detection of internal states is sometimes actually easier when the
subject is moving: The affective state may be associated with overt
behavior that results in detectable changes in the physiological variables.
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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[BibTeX]
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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.
2004
An Extension of the Differential Approach for Bayesian Network Inference to Dynamic Bayesian Networks
Boris Brandherm, Anthony Jameson
Special Issue "Uncertain Reasoning", International Journal of Intelligent Systems, Volume 19 Issue 8 (Part 1), 2004
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[BibTeX]
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We extend the differential approach to inference in Bayesian networks (BNs) (Darwiche, 2000) to handle specific problems that arise in the context of dynamic Bayesian networks (DBNs). We first summarize Darwiche's approach for BNs, which involves the representation of a BN in terms of a multivariate polynomial. We then show how procedures for the computation of corresponding polynomials for DBNs can be derived. These procedures permit not only an exact roll-up of old time slices but also a constant-space evaluation of DBNs. The method is applicable to both forward and backward propagation, and it does not presuppose that each time slice of the DBN has the same structure. It is compatible with approximative methods for roll-up and evaluation of DBNs. Finally, we discuss further ways of improving efficiency, referring as an example to a mobile system in which the computation is distributed over a normal workstation and a resource-limited mobile device.
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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[BibTeX]
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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.
1995
Ressourcenadaptive Dialogführung: ein interdisziplinärer Forschungsansatz
Wahlster, Wolfgang, Jameson, A., Ndiaye, A., Schäfer, R., Weis,
KI 9(6): 17-21 (1995)
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