Abstract
It is difficult to track, parse and model human-computer interactions during editing and revising of documents, but it is necessary if we are to develop automated technologies that will aid or replace humans. This paper introduces a system for accessing and recording a stream of events related to human actions in a real-time cartographic map revision system. The recorded events are parsed into a sequence of meaningful user actions and an action representation in XML format is generated. We also report results of experiments on predicting user actions such as view changes, edits, road tracking/production using hidden Markov models.
This project is funded by a grant from the Natural Sciences and Engineering Research Council of Canada.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Horvitz, E., Kadie, C., Paek, T., Hovel, D.: Models of attention in computing and communication: From principles to applications. Communications of the ACM 46, 52–59 (2003)
Encarnacao, M., Stoev, S.: An application independent intelligent user support system exploiting action-sequence based user modeling. In: Proceedings of the Seventh International Conference on User Modeling, Banff, Canada, pp. 245–254 (1999)
Baltsavias, E., Hahn, M.: Integrating spatial information and image analysis one plus one makes ten. In: International Archives of Photogrametry and Remote Sensing, vol. 33, pp. 63–74 (2000)
Sandanayake, P.T., Cook, D.J.: ONASI: Online agent modeling using a scalable Markov model. International Journal of Pattern Recognition and Artificial Intelligence 17, 757–779 (2003)
Mayfield, J.: Controlling inference in plan recognition. User Modeling and User- Adapted Interaction 2, 83–115 (1992)
Moore, L.: The USGS Geological Survey’s revision program for 7.5-minute topographic maps (2000), http://mcmcweb.er.usgs.gov/topomaps/revision.html
Hacisalihzade, S.S., Stark, L.W., Allen, J.S.: Visual perception and sequences of eye movement fixation: a stochastic modeling approach. IEEE Transactions on Systems, Man, and Cybernetics 22, 474–481 (1992)
Fortier, M., Ziou, D., Armenakis, C., Wang, S.: Survey of work on road extraction in aerial and satellite images. Technical report, Université de Sherbrooke (2000)
Geman, D., Jedynak, B.: An active testing model for tracking roads in satellite images. IEEE Transactions on Pattern Analysis andMachine Intelligence 18, 1–14 (1996)
Baumgartner, A., Hinz, S., Wiedemann, C.: Efficient methods and interfaces for road tracking. In: PCV 2002, B: 28 (2002)
Canny, J.: A computational approach to edge detection. IEEE Transaction on Pattern Analysis and Machine Intelligence 8, 679–698 (1986)
U.S. Geological Survey, U.S. Department of the Interior: Standards for 1:24000- Scale Digital Line Graphs and Quadrangle Maps (1996)
McKeown, D.M., Denlinger, J.: Cooperative methods for road tracking in aerial imagery. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Ann Arbor, Michigan, pp. 662–672 (1988)
Wiedemann, C., Mayer, H.: Automatic verification of roads in digital images using profiles. In: DAGM-Symposium, pp. 609–618 (1996)
U.S. Geological Survey, U.S. Department of the Interior: Standards for Raster Feature Separates Version 1.0. (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhou, J., Bischof, W.F., Caelli, T. (2004). Understanding Human-Computer Interactions in Map Revision. In: Fred, A., Caelli, T.M., Duin, R.P.W., Campilho, A.C., de Ridder, D. (eds) Structural, Syntactic, and Statistical Pattern Recognition. SSPR /SPR 2004. Lecture Notes in Computer Science, vol 3138. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27868-9_30
Download citation
DOI: https://doi.org/10.1007/978-3-540-27868-9_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22570-6
Online ISBN: 978-3-540-27868-9
eBook Packages: Springer Book Archive
