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Documents authored by Falomir, Zoe

Document
Short Paper
DOI: 10.4230/LIPIcs.COSIT.2024.29
Assessing Perceived Route Difficulty in Environments with Different Complexity (Short Paper)

Authors: Arvid Horned, Zoe Falomir, and Kai-Florian Richter

Published in: LIPIcs, Volume 315, 16th International Conference on Spatial Information Theory (COSIT 2024)

Abstract
Today, anyone feeling lost in a city or unsure about how to navigate can use navigation services to look up routes to where they want to go. Current research investigating these services has primarily focused on how to find an appropriate route and how to best support navigation along it, and not how routes and the maps they are presented on are perceived. What makes one route look more difficult to navigate than another? And how does experience with using navigation services and maps in daily life influence how difficult a route is perceived to be? We explored these questions in a survey study where participants rated the perceived difficulty of pedestrian routes in ten different cities. The results show that routes in more complex urban environments were perceived as more complex than routes in easier environments. At least partly, perceived difficulty seems to follow earlier conceptualizations of route complexity, but open questions remain regarding the interplay of environmental structure, route properties, and the map representation.
Cite as

Arvid Horned, Zoe Falomir, and Kai-Florian Richter. Assessing Perceived Route Difficulty in Environments with Different Complexity (Short Paper). In 16th International Conference on Spatial Information Theory (COSIT 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 315, pp. 29:1-29:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{horned_et_al:LIPIcs.COSIT.2024.29,
  author =	{Horned, Arvid and Falomir, Zoe and Richter, Kai-Florian},
  title =	{{Assessing Perceived Route Difficulty in Environments with Different Complexity}},
  booktitle =	{16th International Conference on Spatial Information Theory (COSIT 2024)},
  pages =	{29:1--29:8},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-330-0},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{315},
  editor =	{Adams, Benjamin and Griffin, Amy L. and Scheider, Simon and McKenzie, Grant},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2024.29},
  URN =		{urn:nbn:de:0030-drops-208444},
  doi =		{10.4230/LIPIcs.COSIT.2024.29},
  annote =	{Keywords: navigation complexity, perceived difficulty, route display, spatial cognition}
}
Document
DOI: 10.4230/DagRep.11.11.1
Representing and Solving Spatial Problems (Dagstuhl Seminar 21492)

Authors: Pedro Cabalar, Zoe Falomir, Paulo E. Santos, and Thora Tenbrink

Published in: Dagstuhl Reports, Volume 11, Issue 11 (2022)

Abstract
Everyday life takes place in space and time, and spatial experience lies at the heart of our existence. Understanding how we conceive spatial relations, and how we solve spatio-temporal problems, is therefore key to understanding human cognition. Spatial cognition research has advanced considerably over the past decades, with major successes particularly in computational implementations of knowledge representation and reasoning methods. Still, a range of key issues continue to pose major challenges. The goal of this report is to discuss the various options for the formalisation, implementation and automated solution of spatial problems including the following issues: the identification and specification of relevant concepts as expressed in human language; modules for automated understanding of domain descriptions; the use of spatial structures and affordances for direct spatial problem solving; and, the development of efficient planning systems capable of providing feasible solutions to spatial problems. This report documents the program and the outcomes of Dagstuhl Seminar 21492 "Representing and Solving Spatial Problems".
Cite as

Pedro Cabalar, Zoe Falomir, Paulo E. Santos, and Thora Tenbrink. Representing and Solving Spatial Problems (Dagstuhl Seminar 21492). In Dagstuhl Reports, Volume 11, Issue 11, pp. 1-55, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@Article{cabalar_et_al:DagRep.11.11.1,
  author =	{Cabalar, Pedro and Falomir, Zoe and Santos, Paulo E. and Tenbrink, Thora},
  title =	{{Representing and Solving Spatial Problems (Dagstuhl Seminar 21492)}},
  pages =	{1--55},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2022},
  volume =	{11},
  number =	{11},
  editor =	{Cabalar, Pedro and Falomir, Zoe and Santos, Paulo E. and Tenbrink, Thora},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.11.11.1},
  URN =		{urn:nbn:de:0030-drops-159387},
  doi =		{10.4230/DagRep.11.11.1},
  annote =	{Keywords: knowledge representation, language analysis and cognitive processes, problem solving, spatial reasoning}
}
Document
DOI: 10.4230/LIPIcs.COSIT.2017.3
A Qualitative Spatial Descriptor of Group-Robot Interactions

Authors: Zoe Falomir and Cecilio Angulo

Published in: LIPIcs, Volume 86, 13th International Conference on Spatial Information Theory (COSIT 2017)

Abstract
The problem of finding a suitable qualitative representation for robots to reason about activity spaces where they carry out tasks such as leading or interacting with a group of people is tackled in this paper. For that, a Qualitative Spatial model for Group Robot Interaction (QS-GRI) is proposed to define Kendon’s F-formations [Kendon, 2010] depending on: (i) the relative location of the robot with respect to other individuals involved in that interaction; (ii) the individuals’ orientation; (iii) the shared peri-personal distance; and (iv) the role of the individuals (observer, main character or interactive). An iconic representation is provided and Kendon’s formations are defined logically. The conceptual neighborhood of the evolution of Kendon formations is studied, that is, how one formation is transformed into another. These transformations can depend on the role that the robot have, and on the amount of people involved.
Cite as

Zoe Falomir and Cecilio Angulo. A Qualitative Spatial Descriptor of Group-Robot Interactions. In 13th International Conference on Spatial Information Theory (COSIT 2017). Leibniz International Proceedings in Informatics (LIPIcs), Volume 86, pp. 3:1-3:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@InProceedings{falomir_et_al:LIPIcs.COSIT.2017.3,
  author =	{Falomir, Zoe and Angulo, Cecilio},
  title =	{{A Qualitative Spatial Descriptor of Group-Robot Interactions}},
  booktitle =	{13th International Conference on Spatial Information Theory (COSIT 2017)},
  pages =	{3:1--3:14},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-043-9},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{86},
  editor =	{Clementini, Eliseo and Donnelly, Maureen and Yuan, May and Kray, Christian and Fogliaroni, Paolo and Ballatore, Andrea},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2017.3},
  URN =		{urn:nbn:de:0030-drops-77628},
  doi =		{10.4230/LIPIcs.COSIT.2017.3},
  annote =	{Keywords: qualitative modeling, spatial reasoning, location, distance, orientation, cognitive robotics, human-robot interaction, group-robot interaction, logics}
}
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