2022
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Mazurkiewicz, Bartosz; Kattenbeck, Markus; Giannopoulos, Ioannis Rethinking Route Choices! On the Importance of Route Selection in Wayfinding Experiments (Inproceedings) In: Ishikawa, Toru; Fabrikant, Sara Irina; Winter, Stephan (Ed.): 15th International Conference on Spatial Information Theory (COSIT 2022), pp. 6:1–6:13, Schloss Dagstuhl -- Leibniz-Zentrum für Informatik, Dagstuhl, Germany, 2022, ISSN: 1868-8969. @inproceedings{mazurkiewicz_et_al:LIPIcs.COSIT.2022.6,
title = {Rethinking Route Choices! On the Importance of Route Selection in Wayfinding Experiments},
author = {Bartosz Mazurkiewicz and Markus Kattenbeck and Ioannis Giannopoulos},
editor = {Toru Ishikawa and Sara Irina Fabrikant and Stephan Winter},
url = {https://drops.dagstuhl.de/opus/volltexte/2022/16891},
doi = {10.4230/LIPIcs.COSIT.2022.6},
issn = {1868-8969},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
booktitle = {15th International Conference on Spatial Information Theory (COSIT 2022)},
volume = {240},
pages = {6:1--6:13},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum für Informatik},
address = {Dagstuhl, Germany},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
abstract = {Route selection for a wayfinding experiment is not a trivial task and is often made in an undocumented way. Only recently (2021), a systematic, reproducible and score-based approach for route selection for wayfinding experiments was published. However, it is still unclear how robust study results are across all potential routes in a particular experimental area. An important share of routes might lead to different conclusions than most routes. This share would distort and/or invert the study outcome. If so, the question of selecting routes that are unlikely to distort the results of our wayfinding experiments remains unanswered. In order to answer these questions, an agent-based simulation study with four different sample sizes (N = 15, 25, 50, 3000 agents) comparing Turn-by-Turn and Free Choice Navigation approaches (between-subject design) regarding their arrival rates on more than 11000 routes in the city center of Vienna, Austria, was run. The results of our study indicate that with decreasing sample size, there is an increase in the share of routes which lead to contradictory results regarding the arrival rate, i.e., the results become less robust. Therefore, based on simulation results, we present an approach for selecting suitable routes even for small-scale in-situ studies.},
keywords = {Agent-based Simulation, experimental design, Route selection, wayfinding},
pubstate = {published},
tppubtype = {inproceedings}
}
Route selection for a wayfinding experiment is not a trivial task and is often made in an undocumented way. Only recently (2021), a systematic, reproducible and score-based approach for route selection for wayfinding experiments was published. However, it is still unclear how robust study results are across all potential routes in a particular experimental area. An important share of routes might lead to different conclusions than most routes. This share would distort and/or invert the study outcome. If so, the question of selecting routes that are unlikely to distort the results of our wayfinding experiments remains unanswered. In order to answer these questions, an agent-based simulation study with four different sample sizes (N = 15, 25, 50, 3000 agents) comparing Turn-by-Turn and Free Choice Navigation approaches (between-subject design) regarding their arrival rates on more than 11000 routes in the city center of Vienna, Austria, was run. The results of our study indicate that with decreasing sample size, there is an increase in the share of routes which lead to contradictory results regarding the arrival rate, i.e., the results become less robust. Therefore, based on simulation results, we present an approach for selecting suitable routes even for small-scale in-situ studies. |
2021
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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. |
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}
}
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