| Frank AU, Mark D and Raubal M (2013), "Researching Cognitive and Linguistic Aspects of Geographic Space: Las Navas Then and Now", In Cognitive and Linguistic Aspects of Geographic Space. Berlin Heidelberg , pp. 1-22. Springer. |
BibTeX:
@incollection{frank13:1[TUW-217970],
author = {Frank, Andrew U. and Mark, David and Raubal, Martin},
editor = {Frank, Andrew U. and Mark, David and Raubal, Martin},
title = {Researching Cognitive and Linguistic Aspects of Geographic Space: Las Navas Then and Now},
booktitle = {Cognitive and Linguistic Aspects of Geographic Space},
publisher = {Springer},
year = {2013},
pages = {1--22},
file = {docs/after2010/d146eb20bd9c0cb65bcd023ea0a4895fdcc7.pdf}
}
|
| Frank AU (2010), "Why Context Matters in Giving Driving Instructions ---The Necessity for Representing Decision Points" |
| Abstract: A critical review of past research can lead to identify new, fruitful research directions: here I consider the research on driving instruction by linguists and, especially, by Geoinformation scientists, which has concentrated on static spatial situations. The insight obtained from qualitative spatial reasoning is limited because it did not include actions, change, and motion. The important use case for dynamic spatial behavior is navigation: how are instructions communicated to an actor, e.g., from the car navigation system to the driver and how are they acted upon? An analysis of the communication situation must be dynamic; while moving the driver identi es decision situations at points where instructions are expected. The participants in way nding communication must have the decision situations as shared context. Maps represent static spatial situations (Kuhn, 2010) and miss the dynamic situations a navigator encounters. Research on recognition of decision situations is recommended to identify decision situatins for the navigation system, which are the context which the navigator assumes to be shared. |
BibTeX:
@unpublished{frank4889,
author = {Andrew U Frank},
title = {Why Context Matters in Giving Driving Instructions ---The Necessity for Representing Decision Points},
year = {2010},
file = {docs/docs4/4889_Delmenhorst_10.pdf}
}
|
| Frank AU (2009), "Comment to Taxonomy of Wayfinding Tasks by Wiener, Büchner, and Hölscher", Spatial Cognition and Computation. Vol. 9(2), pp. 166-170. |
| Abstract: The effort to clarify the terminology to describe wayfinding was overdue and I applaud Wiener, Büchner, and Hölscher for their contribution [ref to previous article]. A clear terminology is important for reporting and discussing wayfinding research, but it is probably important for the design, planning, and analyzing of experiments as well, which suggest a Whorfian like hypothesis in science! I have three comments regarding their taxonomy: 1. They advertise a taxonomy, but their important contribution is in the identification of properties they use to distinguish the taxa. 2. Their definitions may lead to misunderstandings; replacing the verbal descriptions by formal definitions using a computational model avoids ambiguities. 3. They classify the wayfinding task based on the knowledge of the navigator alone; the environment should be included to achieve a more precise comprehensive, with all factors influencing the selection of a strategy. |
BibTeX:
@article{frank09task,
author = {Frank, Andrew U.},
title = {Comment to Taxonomy of Wayfinding Tasks by Wiener, Büchner, and Hölscher},
journal = {Spatial Cognition and Computation},
year = {2009},
volume = {9},
number = {2},
pages = {166--170},
url = {http://publik.tuwien.ac.at/files/PubDat-176103.pdf},
file = {docs/docs4/4727_Papersub_af_SCC_09.pdf}
}
|
| Hajibabai L, Delavar M, Malek MR and Frank AU (2007), "Agent-Based Simulation of Spatial Cognition and Wayfinding in Building Fire Emergency Evacuation", In Geomatics Solutions for Disaster Management. , pp. 255-270. Springer. |
BibTeX:
@inproceedings{hajibabai07:255[TUW-120890],
author = {Hajibabai, L. and Delavar, M and Malek, Mohammad Reza and Frank, Andrew U.},
editor = {Li, Jonathan and Zlatanova, Sisi and Fabbri, Andrea},
title = {Agent-Based Simulation of Spatial Cognition and Wayfinding in Building Fire Emergency Evacuation},
booktitle = {Geomatics Solutions for Disaster Management},
publisher = {Springer},
year = {2007},
pages = {255--270},
note = {Vortrag: CIG-ISPRS Conference on Geomatics for Disater and Risk Management, Toronto, Ontario, Canada; 2007-05-23 -- 2007-05-25},
url = {http://publik.tuwien.ac.at/files/pub-geo_1946.pdf},
file = {docs/after2010/pub-geo_1946.pdf}
}
|
| Twaroch F (2007), "Sandbox Geography How to Structure Space in Formal Models" Vienna, Austria GeoInfo Series. |
BibTeX:
@book{twaroch07[TUW-120877],
author = {Twaroch, Florian},
editor = {Frank, Andrew U.},
title = {Sandbox Geography How to Structure Space in Formal Models},
publisher = {GeoInfo Series},
year = {2007},
file = {docs/after2010/PhD_Twaroch.pdf}
}
|
| Hochmair H and Frank AU (2002), "Influence of estimation errors on wayfinding-decisions in unknown street networks - analyzing the least-angle strategy", Spatial Cognition and Computation. Vol. 2(4), pp. 283-313. |
| Abstract: The least-angle strategy is a common wayfinding method that can be applied in unknown environments if the target direction is known. The strategy is based on the navigator's heuristic to select the street segment at an intersection which is most in line with the target direction. To use this strategy, the navigator needs to know the angles between the target direction and the street segments leading out from the intersection. If the direct view to the target is blocked and the target vector cannot be perceived, the target direction that is needed for the decision process is based on the agent's believed position and orientation (estimated through path integration). The agent's believed position and target direction are distorted by human errors in estimation of distances and directions, mainly affecting the path integration process. In this paper we examine how human estimation errors of distance and rotation influence the decision behavior in the wayfinding process in an unknown street environment. To demonstrate the geometrical consequences for a specific test case, we use a simulated software agent which navigates in a simulated street environment |
BibTeX:
@article{hochmair02:283[TUW-119266],
author = {Hochmair, Hartwig and Frank, Andrew U.},
title = {Influence of estimation errors on wayfinding-decisions in unknown street networks - analyzing the least-angle strategy},
journal = {Spatial Cognition and Computation},
year = {2002},
volume = {2},
number = {4},
pages = {283--313},
file = {docs/after2010/least_angle_SCC.PDF}
}
|
| Frank AU, Bittner S and Raubal M (2001), "Spatial and cognitive simulation with multi-agent systems", In international conference on spatial information theory. , pp. 124-139. |
| Abstract: The simulation of human behavior in space is an extremely interesting and powerful research method to advance our understanding of human spatial cognition and the interaction of human beings with the environment. Multi-agent systems are an emerging computing paradigm for the construction of such simulations. During the last two years, we have used multi- agent simulations for three different investigations of spatial and cognitive questions: - use of signage in airports to guide travelers to the gate, - communication with maps, - linkage between physical reality and the cadastral (legal) system. In this paper we will report on these efforts. We first discuss the concept of multi-agent systems and explain the special type of multi-agent system used for simulation of cognitive and spatial situations. The following three sections each review one of the three simulations we have constructed. The last section identifies the similarities in these approaches and lists questions we hope to investigate in the future with this method. |
BibTeX:
@inproceedings{frank2001spatial,
author = {Frank, Andrew U and Bittner, Steffen and Raubal, Martin},
title = {Spatial and cognitive simulation with multi-agent systems},
booktitle = {international conference on spatial information theory},
year = {2001},
pages = {124--139},
file = {docs/docs_afxxx/af-cosit01-CognizingAgents.pdf}
}
|
| Frank AU and Raubal M (2000), "Formal Specifications of Image Schemata for Interoperability in Geographic Information Systems", In Spatial Cognition: Foundations and Applications: Selected Papers from Mind III, Annual Conference of the Cognitive Science Society of Ireland, 1998. Vol. 26, pp. 213. |
BibTeX:
@inbook{frank2000formal,
author = {Frank, Andrew U and Raubal, Martin},
editor = {Seán ó Nualláin},
title = {Formal Specifications of Image Schemata for Interoperability in Geographic Information Systems},
booktitle = {Spatial Cognition: Foundations and Applications: Selected Papers from Mind III, Annual Conference of the Cognitive Science Society of Ireland, 1998},
year = {2000},
volume = {26},
pages = {213},
file = {docs/docs1/2921_dublin_form.pdf}
}
|
| Frank AU (2000), "Spatial Communication with Maps: Defining the Correctness of Maps Using a Multi-Agent Simulation", In Spatial Cognition II: Integrating Abstract Theories, Empirical Studies, Formal Methods, and Practical Applications. Berlin, Heidelberg , pp. 80-99. Springer Berlin Heidelberg. |
| Abstract: Maps are very efficient to communicate spatial situations. A theoretical framework for a formal discussion of map production and map use is constructed using a multi-agent framework. Multi-agent systems are computerized models that simulate persons as autonomous agents in a simulated environment, with their simulated interaction. A model of the process of map production and map use is constructed based on a two-tiered reality and beliefs model, in which facts describing the simulated environment and the simulated agents' beliefs of this environment are separated. This permits to model errors in the persons' perception of reality. |
BibTeX:
@inbook{Frank2000,
author = {Frank, Andrew U.},
editor = {Freksa, Christian and Habel, Christopher and Brauer, Wilfried and Wender, Karl F.},
title = {Spatial Communication with Maps: Defining the Correctness of Maps Using a Multi-Agent Simulation},
booktitle = {Spatial Cognition II: Integrating Abstract Theories, Empirical Studies, Formal Methods, and Practical Applications},
publisher = {Springer Berlin Heidelberg},
year = {2000},
pages = {80--99},
doi = {10.1007/3-540-45460-8_7},
file = {docs/docs3/3124_communication_with_maps99.pdf}
}
|
| Mark DM and Frank AU (1996), "Experiential and Formal Models of Geographic Space", Environment and Planning, Series B. Vol. 23, pp. 3-24. PION LTD. |
BibTeX:
@article{Mark1996a,
author = {Mark, David M. and Frank, Andrew U.},
title = {Experiential and Formal Models of Geographic Space},
journal = {Environment and Planning, Series B},
publisher = {PION LTD},
year = {1996},
volume = {23},
pages = {3--24},
file = {docs/docsA/dmafsace1.pdf},
file2 = { docs/docs1/1859_Experiential.pdf}
}
|
| Frank AU (1996), "Radial Categories Applied to Object-Oriented Modeling - A Case Study for a Property Registration System", In 1st Int. Conference on Geographic Information Systems in Urban, Environmental and Regional Planning. |
| Abstract: Design of GIS applications must model current systems, including their administrative and legal aspects. The standard concentration on the static data structure in GIS — as captured with database design tools — is insufficient and an object-oriented approach is necessary to include the operations carried out. The combination of operations and data structure in a modeling tool is crucial to properly capture complex administrative or legal processing of documents, including the temporal aspects. This is clearly visible in the application selected here, namely real estate property registration, where one cannot succeed without modeling space and time. Object-Oriented Modeling is the widely acclaimed method in software engineering. It is used for design and programming, but did not reduce the software crisis. The theory of object-orientation is simple, but the application to practical cases points to more difficulties than expected. The primary concept of object-orientation corresponds well with cognitive principles, but the details of practical object-oriented languages add confusion. The non-trivial case study is used here to point out the issues and to propose an approach which is in line with human cognition. First the object-oriented concepts are revisited in the context of a class based functional programming language. It stresses the separation of behavior from implementation inheritance and allows design and rapid prototyping in the same language. Human cognition uses radial categories with a central prototype. This is used to start the design of the property registry. Several refinement steps are then applied. This approach and the set of tools used allows to separate the code of refinement steps and result in very compact, formally checked code. |
BibTeX:
@inproceedings{Frank1996g,
author = {Frank, A. U.},
title = {Radial Categories Applied to Object-Oriented Modeling - A Case Study for a Property Registration System},
booktitle = {1st Int. Conference on Geographic Information Systems in Urban, Environmental and Regional Planning},
year = {1996},
file = {docs/docsH/radial_af.pdf},
file2 = { docs/docs1/2316_samos_radialcategories.pdf}
}
|