2021
|
Mazurkiewicz, Bartosz; Giannopoulos, Ioannis Route Selection - From Replication to Recreation (Workshop) 2021, (Cycling@CHI: Towards a Research Agenda for HCI in the Bike Lane at CHI ’21, May 8–13, 2021, Yokohama, Japan. ACM, New York, NY, USA, 5 pages). @workshop{Mazurkiewicz2021,
title = {Route Selection - From Replication to Recreation},
author = {Bartosz Mazurkiewicz and Ioannis Giannopoulos},
editor = {2021 May 8–13 Cycling@CHI: Towards a Research Agenda for HCI in the Bike Lane at CHI ’21},
url = {https://geoinfo.geo.tuwien.ac.at/wp-content/uploads/2021/11/chi_workshop_route_selection_mazurkiewicz.pdf},
year = {2021},
date = {2021-05-07},
urldate = {2021-05-07},
abstract = {The choice of a route from an origin to a destination depends on several criteria. These criteria can range from route length to
environment type. In several situations, we are not only interested in finding a route between two points, but to find a route between all possible origin-destination points in a specific geographic area. This is very common during experimental design, when one is seeking for a generalizable route to evaluate a navigation system. For this case, the selected route should be representative for the area, and not an exception with peculiarities. In this work we demonstrate (1) how to choose an average route for a bike navigation study in Vienna, Austria and (2) how to find similar routes in Florence, Italy and Bremen, Germany in order to replicate the study. The selection is based on route features and associated weights. They can be highly customized according to the needs. We demonstrate our approach and introduce four application scenarios to exemplify the benefits of a systematic route selection.},
note = {Cycling@CHI: Towards a Research Agenda for HCI in the Bike Lane at CHI ’21, May 8–13, 2021, Yokohama, Japan. ACM, New York, NY, USA, 5 pages},
keywords = {Experiments, navigation, Replicability, Route selection, wayfinding},
pubstate = {published},
tppubtype = {workshop}
}
The choice of a route from an origin to a destination depends on several criteria. These criteria can range from route length to
environment type. In several situations, we are not only interested in finding a route between two points, but to find a route between all possible origin-destination points in a specific geographic area. This is very common during experimental design, when one is seeking for a generalizable route to evaluate a navigation system. For this case, the selected route should be representative for the area, and not an exception with peculiarities. In this work we demonstrate (1) how to choose an average route for a bike navigation study in Vienna, Austria and (2) how to find similar routes in Florence, Italy and Bremen, Germany in order to replicate the study. The selection is based on route features and associated weights. They can be highly customized according to the needs. We demonstrate our approach and introduce four application scenarios to exemplify the benefits of a systematic route selection. |
Schmidl, Martin; Navratil, Gerhard; Giannopoulos, Ioannis An Approach to Assess the Effect of Currentness of Spatial Data on Routing Quality (Inproceedings) In: Partsinevelos, Panagiotis; Kyriakidis, Phaedon; Kavouras, Marinos (Ed.): Proceedings of the 24th AGILE Conference on Geographic Information Science, Copernikus Publications, 2021, (talk: 24th AGILE Conference on Geographic Information Science, Chania, Greece, Online; 2021-06-08 -- 2021-06-11). @inproceedings{TUW-296258,
title = {An Approach to Assess the Effect of Currentness of Spatial Data on Routing Quality},
author = {Martin Schmidl and Gerhard Navratil and Ioannis Giannopoulos},
editor = {Panagiotis Partsinevelos and Phaedon Kyriakidis and Marinos Kavouras},
doi = {10.5194/agile-giss-2-13-2021},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
booktitle = {Proceedings of the 24th AGILE Conference on Geographic Information Science},
publisher = {Copernikus Publications},
abstract = {During spatial decision making, the quality of the utilized data is of high importance. During navigation these decisions are crucial for being routed to the desired destination (usually going by the shortest or fastest route). Road networks, the main data source for routing, are prone to changes which can have a big impact on the computed route and therefore on travel time. For instance, routes computed using an outdated street network can result in longer travel times, in longer distance, as well in cases where the desired destination might not be anymore reachable via the computed route. Data from OpenStreetMap with different timestamps allows us to download road network snapshots from different years, i.e., from 2014 to 2020. On each of those datasets the fastest route between 500 randomly chosen point pairs in Vienna, Austria, was computed. Ŧhese routes were also reconstructed on the most recent dataset for evaluation reasons. Ŧhe resulting travel times, travel length as well as feasibility of the route were compared with the most recent dataset. Ŧhe results provide a first assessment of temporal quality based on the currentness of a dataset.},
note = {talk: 24th AGILE Conference on Geographic Information Science, Chania, Greece, Online; 2021-06-08 -- 2021-06-11},
keywords = {Currency, navigation, OSM, Spatial Data Quality, VGI},
pubstate = {published},
tppubtype = {inproceedings}
}
During spatial decision making, the quality of the utilized data is of high importance. During navigation these decisions are crucial for being routed to the desired destination (usually going by the shortest or fastest route). Road networks, the main data source for routing, are prone to changes which can have a big impact on the computed route and therefore on travel time. For instance, routes computed using an outdated street network can result in longer travel times, in longer distance, as well in cases where the desired destination might not be anymore reachable via the computed route. Data from OpenStreetMap with different timestamps allows us to download road network snapshots from different years, i.e., from 2014 to 2020. On each of those datasets the fastest route between 500 randomly chosen point pairs in Vienna, Austria, was computed. Ŧhese routes were also reconstructed on the most recent dataset for evaluation reasons. Ŧhe resulting travel times, travel length as well as feasibility of the route were compared with the most recent dataset. Ŧhe results provide a first assessment of temporal quality based on the currentness of a dataset. |
Stähli, Lisa; Giannopoulos, Ioannis; Raubal, Martin Evaluation of pedestrian navigation in Smart Cities (Journal Article) In: Environment and Planning B: Urban Analytics and City Science, vol. 48, no. 6, pp. 1728–1745, 2021. @article{stahli2021evaluation,
title = {Evaluation of pedestrian navigation in Smart Cities},
author = {Lisa Stähli and Ioannis Giannopoulos and Martin Raubal},
url = {https://doi.org/10.1177/2399808320949538},
doi = {10.1177/2399808320949538},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
journal = {Environment and Planning B: Urban Analytics and City Science},
volume = {48},
number = {6},
pages = {1728--1745},
publisher = {SAGE Publications Sage UK: London, England},
abstract = {This work addresses recent research in the area of pedestrian navigation aids that aims at finding alternatives to the widely used map-based turn-by-turn navigation systems in the context of Smart City environments. Four different approaches of pedestrian navigation systems were compared to each other in a user experiment that was conducted in a virtual environment: (1) map-based, (2) landmark-based, (3) augmented reality, and (4) public display navigation. The results of the experiment with 45 participants conducted in a virtual environment suggest that the augmented reality navigation performs best concerning efficiency and effectiveness and the landmark-based navigation performs worst in the context of Smart Cities.},
keywords = {augmented reality, navigation, virtual environment},
pubstate = {published},
tppubtype = {article}
}
This work addresses recent research in the area of pedestrian navigation aids that aims at finding alternatives to the widely used map-based turn-by-turn navigation systems in the context of Smart City environments. Four different approaches of pedestrian navigation systems were compared to each other in a user experiment that was conducted in a virtual environment: (1) map-based, (2) landmark-based, (3) augmented reality, and (4) public display navigation. The results of the experiment with 45 participants conducted in a virtual environment suggest that the augmented reality navigation performs best concerning efficiency and effectiveness and the landmark-based navigation performs worst in the context of Smart Cities. |
Golab, Antonia; Kattenbeck, Markus; Sarlas, Georgios; Giannopoulos, Ioannis It's also about timing! When do pedestrians want to receive navigation instructions (Journal Article) In: Spatial Cognition & Computation, vol. 0, no. 0, pp. 1-33, 2021. @article{geoinfo21timing,
title = {It's also about timing! When do pedestrians want to receive navigation instructions},
author = {Antonia Golab and Markus Kattenbeck and Georgios Sarlas and Ioannis Giannopoulos},
url = {https://doi.org/10.1080/13875868.2021.1942474},
doi = {10.1080/13875868.2021.1942474},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
journal = {Spatial Cognition & Computation},
volume = {0},
number = {0},
pages = {1-33},
publisher = {Taylor & Francis},
abstract = {Despite the increased research interest in wayfinding assistance systems, research on the appropriate point in time or space to automatically present a route instruction remains a desideratum. We address this research gap by reporting on the results of an outdoor, within-subject design wayfinding study (N=52). Participants walked two different routes for which they requested spoken, landmark-based turn-by-turn route instructions. By means of a survival analysis, we model the points in space at which participants issue such requests, considering personal, environmental, route- and trial-related variables. We reveal different landcover classes (e.g., densely built-up areas) and personal variables (e.g., egocentric orientation and age) to be important, discuss potential reasons for their impact and derive open research questions.},
keywords = {instructions, modeling, navigation, timing},
pubstate = {published},
tppubtype = {article}
}
Despite the increased research interest in wayfinding assistance systems, research on the appropriate point in time or space to automatically present a route instruction remains a desideratum. We address this research gap by reporting on the results of an outdoor, within-subject design wayfinding study (N=52). Participants walked two different routes for which they requested spoken, landmark-based turn-by-turn route instructions. By means of a survival analysis, we model the points in space at which participants issue such requests, considering personal, environmental, route- and trial-related variables. We reveal different landcover classes (e.g., densely built-up areas) and personal variables (e.g., egocentric orientation and age) to be important, discuss potential reasons for their impact and derive open research questions. |
Mazurkiewicz, Bartosz; Kattenbeck, Markus; Kiefer, Peter; Giannopoulos, Ioannis Not Arbitrary, Systematic! Average-Based Route Selection for Navigation Experiments (Inproceedings) In: Janowicz, Krzysztof; Verstegen, Judith Anne (Ed.): 11th International Conference on Geographic Information Science, GIScience
2021, September 27-30, 2021, Poznań, Poland - Part I, pp. 8:1–8:16, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021. @inproceedings{DBLP:conf/giscience/MazurkiewiczKKG21,
title = {Not Arbitrary, Systematic! Average-Based Route Selection for Navigation Experiments},
author = {Bartosz Mazurkiewicz and Markus Kattenbeck and Peter Kiefer and Ioannis Giannopoulos},
editor = {Krzysztof Janowicz and Judith Anne Verstegen},
url = {https://doi.org/10.4230/LIPIcs.GIScience.2021.I.8},
doi = {10.4230/LIPIcs.GIScience.2021.I.8},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
booktitle = {11th International Conference on Geographic Information Science, GIScience
2021, September 27-30, 2021, Poznań, Poland - Part I},
volume = {177},
pages = {8:1--8:16},
publisher = {Schloss Dagstuhl - Leibniz-Zentrum für Informatik},
series = {LIPIcs},
keywords = {experimental design, navigation, Replicability, Route selection, wayfinding},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2019
|
Navratil, Gerhard; Giannopoulos, Ioannis; Kotzbek, Gilbert Classification of Urban and Rural Routes based on Motorcycle Riding Behaviour (Inproceedings) In: Kyriakidis, Phaedon; others, (Ed.): Geospatial Technologies for Local and Regional Development, pp. 95–108, Springer, 2019, ISBN: 978-3-030-14744-0, (Vortrag: 22nd AGILE Conference on Geographic Information Science, Limassol; 2019-06-17 -- 2019-06-20). @inproceedings{navratil19:95[TUW-281622],
title = {Classification of Urban and Rural Routes based on Motorcycle Riding Behaviour},
author = {Gerhard Navratil and Ioannis Giannopoulos and Gilbert Kotzbek},
editor = {Phaedon Kyriakidis and others},
isbn = {978-3-030-14744-0},
year = {2019},
date = {2019-01-01},
booktitle = {Geospatial Technologies for Local and Regional Development},
pages = {95--108},
publisher = {Springer},
abstract = {A basic problem in navigation is the selection of a suitable route. This requires a determination of costs or suitability. There are approaches for many standard situations, e.g., the shortest route for pedestrians, the fastest route for cars, a physically possible and legal route for trucks, or the safest route for bicycle riders. However, not much research has been done yet for motorcycle riders. Published approaches rely on interpretation of geometry, interviews, or user feedback. None of these approaches is precise and scalable. Since modern motorcycles have an increasing number of internal sensors (e.g., lean angle sensors for curve ABS), they could provide the data required for a classification of route segments. The combination with a navigational device allows to georeferenced the data and thus attach riding characteristics to a specific road segment. This work sketches the classification concept and presents data from a real-driving experiment using an external IMU.},
note = {Vortrag: 22nd AGILE Conference on Geographic Information Science, Limassol; 2019-06-17 -- 2019-06-20},
keywords = {Classification, Inertial Measurement Unit, Motorcycle, navigation, Routing},
pubstate = {published},
tppubtype = {inproceedings}
}
A basic problem in navigation is the selection of a suitable route. This requires a determination of costs or suitability. There are approaches for many standard situations, e.g., the shortest route for pedestrians, the fastest route for cars, a physically possible and legal route for trucks, or the safest route for bicycle riders. However, not much research has been done yet for motorcycle riders. Published approaches rely on interpretation of geometry, interviews, or user feedback. None of these approaches is precise and scalable. Since modern motorcycles have an increasing number of internal sensors (e.g., lean angle sensors for curve ABS), they could provide the data required for a classification of route segments. The combination with a navigational device allows to georeferenced the data and thus attach riding characteristics to a specific road segment. This work sketches the classification concept and presents data from a real-driving experiment using an external IMU. |
Giannopoulos, Ioannis; Navratil, Gerhard; Fogliaroni, Paolo; Özdal-Oktay, Simge; McCutchan, Marvin; Mazurkiewicz, Bartosz Geoinformation Research Directions (Journal Article) In: Österreichische Zeitschrift für Vermessung und Geoinformation (VGI), vol. 107. Jahrgang, no. 2, pp. 147–155, 2019. @article{giannopoulos19:147[TUW-286409],
title = {Geoinformation Research Directions},
author = {Ioannis Giannopoulos and Gerhard Navratil and Paolo Fogliaroni and Simge Özdal-Oktay and Marvin McCutchan and Bartosz Mazurkiewicz},
year = {2019},
date = {2019-01-01},
journal = {Österreichische Zeitschrift für Vermessung und Geoinformation (VGI)},
volume = {107. Jahrgang},
number = {2},
pages = {147--155},
abstract = {Dieser Artikel stellt die Forschungsrichtungen der Forschungsgruppe Geoinformation an der Technischen Universität Wien vor. Wenn wir uns in einer realen oder virtuellen Umgebung bewegen und mit unserer direkten Umgebung, z. B. Gebäuden, interagieren, produzieren wir raumbezogene Spuren. Durch die effiziente und effektive Analyse dieser vom Menschen erzeugten Daten, aber auch von der städtischen Umwelt, sind wir in der Lage, mehrere Forschungsfragen des Bereichs zu beantworten. Zum Beispiel können wir die Struktur der Umwelt, in der wir leben, aufdecken, die Auswirkungen der Umwelt auf die menschliche Entscheidungsfindung untersuchen, verstehen wie Menschen mit der Umwelt interagieren, sowie neue raumbezogene Visualisierungen und Interaktionsdialoge ermöglichen. Neuartige Technologien wie Virtual and Augmented Reality sowie Eye Tracking befähigen uns, einen Schritt weiter zu gehen und komplexe Experimente durchzuführen, um relevante raumbezogene Daten zu generieren, die es uns ermöglichen, den Entscheidungsprozess des Menschen in kontrollierten Umgebungen zu untersuchen und zu verstehen. Darüber hinaus können wir aufgrund des aktuellen technologischen Fortschritts der Forschungsgruppe für Geoinformation die AR-Technologie nun auch im Außenbereich einsetzen, um georeferenzierte Objekte in Echtzeit zu visualisieren. Dies erlaubt uns, Experimente auch in natürlicher Umgebung durchzuführen und die räumliche Information, die der Mensch mit Hilfe unserer entwickelten Technologie wahrnehmen kann, zu verändern.},
keywords = {3D-Kataster, gemischte Realit{ä}t, navigation, R{ä}umliches maschinelles Lernen, St{ä}dtisches Computing},
pubstate = {published},
tppubtype = {article}
}
Dieser Artikel stellt die Forschungsrichtungen der Forschungsgruppe Geoinformation an der Technischen Universität Wien vor. Wenn wir uns in einer realen oder virtuellen Umgebung bewegen und mit unserer direkten Umgebung, z. B. Gebäuden, interagieren, produzieren wir raumbezogene Spuren. Durch die effiziente und effektive Analyse dieser vom Menschen erzeugten Daten, aber auch von der städtischen Umwelt, sind wir in der Lage, mehrere Forschungsfragen des Bereichs zu beantworten. Zum Beispiel können wir die Struktur der Umwelt, in der wir leben, aufdecken, die Auswirkungen der Umwelt auf die menschliche Entscheidungsfindung untersuchen, verstehen wie Menschen mit der Umwelt interagieren, sowie neue raumbezogene Visualisierungen und Interaktionsdialoge ermöglichen. Neuartige Technologien wie Virtual and Augmented Reality sowie Eye Tracking befähigen uns, einen Schritt weiter zu gehen und komplexe Experimente durchzuführen, um relevante raumbezogene Daten zu generieren, die es uns ermöglichen, den Entscheidungsprozess des Menschen in kontrollierten Umgebungen zu untersuchen und zu verstehen. Darüber hinaus können wir aufgrund des aktuellen technologischen Fortschritts der Forschungsgruppe für Geoinformation die AR-Technologie nun auch im Außenbereich einsetzen, um georeferenzierte Objekte in Echtzeit zu visualisieren. Dies erlaubt uns, Experimente auch in natürlicher Umgebung durchzuführen und die räumliche Information, die der Mensch mit Hilfe unserer entwickelten Technologie wahrnehmen kann, zu verändern. |
2018
|
Fogliaroni, Paolo; Bucher, Dominik; Jankovic, Nikola; Giannopoulos, Ioannis Intersections of Our World (Inproceedings) In: Winter, Stephan; Griffin, Amy; Sester, Monika (Ed.): Proceedings 10th International Conference on Geographic Information Science (GIScience 2018), pp. 3:1–3:15, LIPICS, 114, 2018, ISBN: 978-3-95977-083-5, (Vortrag: 10th International Conference on Geographic Information Science (GIScience 2018), Melbourne; 2018-08-28 -- 2018-08-31). @inproceedings{fogliaroni18:3:1[TUW-271422],
title = {Intersections of Our World},
author = {Paolo Fogliaroni and Dominik Bucher and Nikola Jankovic and Ioannis Giannopoulos},
editor = {Stephan Winter and Amy Griffin and Monika Sester},
url = {https://publik.tuwien.ac.at/files/publik_271422.pdf},
doi = {10.4230/LIPIcs.GISCIENCE.2018.3},
isbn = {978-3-95977-083-5},
year = {2018},
date = {2018-01-01},
booktitle = {Proceedings 10th International Conference on Geographic Information Science (GIScience 2018)},
pages = {3:1--3:15},
publisher = {LIPICS},
address = {114},
abstract = {There are several situations where the type of a street intersections can become very important, especially in the case of navigation studies. The types of intersections affect the route complexity and this has to be accounted for, e.g., already during the experimental design phase of a navigation study. In this work we introduce a formal definition for intersection types and present a framework that allows for extracting information about the intersections of our planet. We present a case study that demonstrates the importance and necessity of being able to extract this information.},
note = {Vortrag: 10th International Conference on Geographic Information Science (GIScience 2018), Melbourne; 2018-08-28 -- 2018-08-31},
keywords = {experimental design, intersection types, navigation},
pubstate = {published},
tppubtype = {inproceedings}
}
There are several situations where the type of a street intersections can become very important, especially in the case of navigation studies. The types of intersections affect the route complexity and this has to be accounted for, e.g., already during the experimental design phase of a navigation study. In this work we introduce a formal definition for intersection types and present a framework that allows for extracting information about the intersections of our planet. We present a case study that demonstrates the importance and necessity of being able to extract this information. |
Giannopoulos, Ioannis Pedestrian Navigation: What Can We Learn From Eye Tracking, Mixed Reality and Machine Learning (Journal Article) In: Österreichische Zeitschrift für Vermessung und Geoinformation (VGI), vol. 106, no. 3, pp. 220–225, 2018. @article{giannopoulos18:220[TUW-274759],
title = {Pedestrian Navigation: What Can We Learn From Eye Tracking, Mixed Reality and Machine Learning},
author = {Ioannis Giannopoulos},
year = {2018},
date = {2018-01-01},
journal = {Österreichische Zeitschrift für Vermessung und Geoinformation (VGI)},
volume = {106},
number = {3},
pages = {220--225},
abstract = {Un verschiedene Prozesse wie zum Beispiel die Navigation zu verstehen, ist es entscheidend zu verstehen wie Menschen mit ihrer Umgebung während der Entscheidungsfindung interagieren. Während der räumlichen Entscheidungsfindung interagieren Menschen auch mit räumlichen Daten, die ihnen oft über Display Geräte präsentiert werden.Mit Hilfe von Eye Tracking, Mixed Reality und Machine Learning sind wir in der Lage, ein besseres Verständnis und eine Optimierung der relevanten Interaktionsdialoge zu erzielen, relevante Informationsräume zu klassifizieren sowie Menschen während des Entscheidungsfindungsprozesses zu assistieren.},
keywords = {eye-tracking, Machine Learning, Mixed Reality, navigation},
pubstate = {published},
tppubtype = {article}
}
Un verschiedene Prozesse wie zum Beispiel die Navigation zu verstehen, ist es entscheidend zu verstehen wie Menschen mit ihrer Umgebung während der Entscheidungsfindung interagieren. Während der räumlichen Entscheidungsfindung interagieren Menschen auch mit räumlichen Daten, die ihnen oft über Display Geräte präsentiert werden.Mit Hilfe von Eye Tracking, Mixed Reality und Machine Learning sind wir in der Lage, ein besseres Verständnis und eine Optimierung der relevanten Interaktionsdialoge zu erzielen, relevante Informationsräume zu klassifizieren sowie Menschen während des Entscheidungsfindungsprozesses zu assistieren. |
2016
|
Schnitzler, Verena; Giannopoulos, Ioannis; Hölscher, Christoph; Barisic, Iva The Interplay of Pedestrian Navigation, Wayfinding Devices, and Environmental Features in Indoor Settings (Inproceedings) In: Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications, pp. 85–93, ACM, Charleston, South Carolina, 2016, ISBN: 978-1-4503-4125-7. @inproceedings{Schnitzler:2016:IPN:2857491.2857533,
title = {The Interplay of Pedestrian Navigation, Wayfinding Devices, and Environmental Features in Indoor Settings},
author = {Verena Schnitzler and Ioannis Giannopoulos and Christoph Hölscher and Iva Barisic},
url = {http://doi.acm.org/10.1145/2857491.2857533},
doi = {10.1145/2857491.2857533},
isbn = {978-1-4503-4125-7},
year = {2016},
date = {2016-01-01},
booktitle = {Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications},
pages = {85--93},
publisher = {ACM},
address = {Charleston, South Carolina},
series = {ETRA '16},
keywords = {mobile eye tracking, navigation, pedestrian navigation, spatial cognition, wayfinding assistance},
pubstate = {published},
tppubtype = {inproceedings}
}
|
