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Documents authored by Hamzei, Ehsan

Artifact
Software
DOI: 10.4230/artifacts.24214
hamzeiehsan/leisure-walking-analysis

Authors: Ehsan Hamzei, Thi Minh Hoai Bui, Martin Tomko, and Stephan Winter

Abstract
Cite as

Ehsan Hamzei, Thi Minh Hoai Bui, Martin Tomko, Stephan Winter. hamzeiehsan/leisure-walking-analysis (Software, Source code). Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@misc{dagstuhl-artifact-24214,
   title = {{hamzeiehsan/leisure-walking-analysis}}, 
   author = {Hamzei, Ehsan and Bui, Thi Minh Hoai and Tomko, Martin and Winter, Stephan},
   note = {Software, swhId: \href{https://archive.softwareheritage.org/swh:1:dir:cddb6d133e212246c2e458e4ea46f1358cd27927;origin=https://github.com/hamzeiehsan/leisure-walking-analysis;visit=swh:1:snp:24de26e43def854424cacc232f9289821b17290a;anchor=swh:1:rev:22c33b5a1a32915a600817db808f716df265b70b}{\texttt{swh:1:dir:cddb6d133e212246c2e458e4ea46f1358cd27927}} (visited on 2025-08-15)},
   url = {https://github.com/hamzeiehsan/leisure-walking-analysis},
   doi = {10.4230/artifacts.24214},
}
Document
DOI: 10.4230/LIPIcs.GIScience.2025.5
Analysis of Points of Interests Recommended for Leisure Walk Descriptions

Authors: Ehsan Hamzei, Thi Minh Hoai Bui, Martin Tomko, and Stephan Winter

Published in: LIPIcs, Volume 346, 13th International Conference on Geographic Information Science (GIScience 2025)

Abstract
Leisure walking is a physical activity where locomotion through a natural or even urban environment is the goal in itself, e.g., in pursuit of health and wellbeing. In contrast to destination-oriented walks that are focused on navigation efficiency (i.e., shortest or simplest walk from source to destination), leisure walks emphasize experiencing the environment, engaging in activities, and discovering places that may be off route, or intermediate destinations en-route, summarily called points of interest (POIs). POIs are key for recommending leisure walks, yet a detailed analysis of POIs in the context of leisure walking is missing in the literature. This study extracts and annotates POIs of leisure walking recommendations available in WalkingMaps.com.au, creating an annotated dataset to address this research gap and provide a first analysis of leisure walking descriptions. We classify POIs using the verbal description provided in the dataset, match them with data available in OpenStreetMap (OSM), and compare the POIs with nearby alternatives in OSM. Our analysis reveals thematic and spatial patterns in POI selection, offering a machine learning approach to model POI choices for leisure walks. We further evaluate the availability of rich data in OSM for future automated leisure walking recommendation. This study contributes to automated systems for recommending leisure walks, tailoring suggestions based on available information in the spatial open data, and presents an annotated dataset to facilitate future research in this field.
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Ehsan Hamzei, Thi Minh Hoai Bui, Martin Tomko, and Stephan Winter. Analysis of Points of Interests Recommended for Leisure Walk Descriptions. In 13th International Conference on Geographic Information Science (GIScience 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 346, pp. 5:1-5:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{hamzei_et_al:LIPIcs.GIScience.2025.5,
  author =	{Hamzei, Ehsan and Bui, Thi Minh Hoai and Tomko, Martin and Winter, Stephan},
  title =	{{Analysis of Points of Interests Recommended for Leisure Walk Descriptions}},
  booktitle =	{13th International Conference on Geographic Information Science (GIScience 2025)},
  pages =	{5:1--5:16},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-378-2},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{346},
  editor =	{Sila-Nowicka, Katarzyna and Moore, Antoni and O'Sullivan, David and Adams, Benjamin and Gahegan, Mark},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2025.5},
  URN =		{urn:nbn:de:0030-drops-238341},
  doi =		{10.4230/LIPIcs.GIScience.2025.5},
  annote =	{Keywords: leisure walks, points of interest, places, platial information}
}
Document
Short Paper
DOI: 10.4230/LIPIcs.COSIT.2022.24
An Entropy-Based Model for Indoor Self-Localization Through Dialogue (Short Paper)

Authors: Kimia Amoozandeh, Ehsan Hamzei, and Martin Tomko

Published in: LIPIcs, Volume 240, 15th International Conference on Spatial Information Theory (COSIT 2022)

Abstract
People can be localized at a particular location in an indoor environment using verbal descriptions referring to distinct visible objects (e.g., landmarks). When a user provides an incomplete initial location description their location may remain ambiguous. Here, we consider a dialogue initiated to update the initial description, which continues until the updated description can be related to a location in the environment. In each interaction, the wayfinder is incrementally asked about the visibility of a particular object to update the initial description. This paper presents an entropy-based model to minimize the number of interactions. We show how this entropy-based model leads to a significant reduction of interactions (i.e., reduction of conversation length, measured by the number of additional referents) compared to baseline models. Moreover, the effect of the initial description, i.e., the first set of visible objects with different combinations, is investigated.
Cite as

Kimia Amoozandeh, Ehsan Hamzei, and Martin Tomko. An Entropy-Based Model for Indoor Self-Localization Through Dialogue (Short Paper). In 15th International Conference on Spatial Information Theory (COSIT 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 240, pp. 24:1-24:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@InProceedings{amoozandeh_et_al:LIPIcs.COSIT.2022.24,
  author =	{Amoozandeh, Kimia and Hamzei, Ehsan and Tomko, Martin},
  title =	{{An Entropy-Based Model for Indoor Self-Localization Through Dialogue}},
  booktitle =	{15th International Conference on Spatial Information Theory (COSIT 2022)},
  pages =	{24:1--24:7},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-257-0},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{240},
  editor =	{Ishikawa, Toru and Fabrikant, Sara Irina and Winter, Stephan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2022.24},
  URN =		{urn:nbn:de:0030-drops-169095},
  doi =		{10.4230/LIPIcs.COSIT.2022.24},
  annote =	{Keywords: Indoor self-localization, Dialogue, Entropy}
}
Document
Short Paper
DOI: 10.4230/LIPIcs.COSIT.2019.12
Initial Analysis of Simple Where-Questions and Human-Generated Answers (Short Paper)

Authors: Ehsan Hamzei, Stephan Winter, and Martin Tomko

Published in: LIPIcs, Volume 142, 14th International Conference on Spatial Information Theory (COSIT 2019)

Abstract
Geographic questions are among the most frequently asked questions in Web search and question answering systems. While currently responses to the questions are machine-generated by document/snippet retrieval, in the future these responses will need to become more similar to answers provided by humans. Here, we have analyzed human answering behavior as response to simple where questions (i.e., where questions formulated only with one toponym) in terms of type, scale, and prominence of the places referred to. We have used the largest available machine comprehension dataset, MS-MARCO v2.1. This study uses an automatic approach for extraction, encoding and analysis of the questions and answers. Here, the distribution analysis are used to describe the relation between questions and their answers. The results of this study can inform the design of automatic question answering systems for generating useful responses to where questions.
Cite as

Ehsan Hamzei, Stephan Winter, and Martin Tomko. Initial Analysis of Simple Where-Questions and Human-Generated Answers (Short Paper). In 14th International Conference on Spatial Information Theory (COSIT 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 142, pp. 12:1-12:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

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@InProceedings{hamzei_et_al:LIPIcs.COSIT.2019.12,
  author =	{Hamzei, Ehsan and Winter, Stephan and Tomko, Martin},
  title =	{{Initial Analysis of Simple Where-Questions and Human-Generated Answers}},
  booktitle =	{14th International Conference on Spatial Information Theory (COSIT 2019)},
  pages =	{12:1--12:8},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-115-3},
  ISSN =	{1868-8969},
  year =	{2019},
  volume =	{142},
  editor =	{Timpf, Sabine and Schlieder, Christoph and Kattenbeck, Markus and Ludwig, Bernd and Stewart, Kathleen},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2019.12},
  URN =		{urn:nbn:de:0030-drops-111049},
  doi =		{10.4230/LIPIcs.COSIT.2019.12},
  annote =	{Keywords: question answering, scale, prominence, where-questions}
}
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