Mazurkiewicz, Bartosz; Giannopoulos, Ioannis Replication of Wayfinding Studies in Different Geographic Areas. A Simulation Study (Inproceedings) In: Krisp, Jukka; Meng, Liqiu; Kumke, Holger; Huang, Haosheng (Ed.): 17th International Conference on Location Based Services (LBS 2022), pp. 68–77, 2022. @inproceedings{mazurkiewicz_giannopoulos:LBS.2022,
title = {Replication of Wayfinding Studies in Different Geographic Areas. A Simulation Study},
author = {Bartosz Mazurkiewicz and Ioannis Giannopoulos},
editor = {Jukka Krisp and Liqiu Meng and Holger Kumke and Haosheng Huang},
url = {https://geoinfo.geo.tuwien.ac.at/wp-content/uploads/2022/09/LBS_2022_mazurkiewicz_giannopoulos_docx.pdf
https://conferences.lfk.lrg.tum.de/lbs2022/proceedings.html},
year = {2022},
date = {2022-09-12},
urldate = {2022-09-12},
booktitle = {17th International Conference on Location Based Services (LBS 2022)},
pages = {68--77},
abstract = {Replication of real-world wayfinding studies is not a trivial task. Even less if it is to be replicated in a different geographic environment. The selection of one or several routes is one of many decisions to be made. Only recently (2021), a reproducible, systematic and score-based approach for route selection for wayfinding experiments was published. Besides allowing for selecting a route within a selected experimental area, it claims to be able to find similar routes in different geographic areas. However, it remains unclear if similar, according to this route selection framework, routes lead to similar study results. In order to answer this question, an agent-based simulation comparing Turn-byTurn and Free Choice Navigation approaches (between-subject design) is run in one European (Vienna) and one African (Djibouti City) city. First, a route in Vienna is selected and, second, the 5 most and the 5 least similar routes in Djibouti City are found. These routes are used in the simulation in order to scrutinize if more similar routes lead to more similar results regarding the arrival rate as a metric. The results suggest that the route selection framework is suitable for replication studies for the Turn-By-Turn navigation approach but needs further improvement for the Free Choice Navigation approach by adding features describing the neighborhood of the route.},
keywords = {Agent-based Simulation, experimental design, Replicability},
pubstate = {published},
tppubtype = {inproceedings}
}
Replication of real-world wayfinding studies is not a trivial task. Even less if it is to be replicated in a different geographic environment. The selection of one or several routes is one of many decisions to be made. Only recently (2021), a reproducible, systematic and score-based approach for route selection for wayfinding experiments was published. Besides allowing for selecting a route within a selected experimental area, it claims to be able to find similar routes in different geographic areas. However, it remains unclear if similar, according to this route selection framework, routes lead to similar study results. In order to answer this question, an agent-based simulation comparing Turn-byTurn and Free Choice Navigation approaches (between-subject design) is run in one European (Vienna) and one African (Djibouti City) city. First, a route in Vienna is selected and, second, the 5 most and the 5 least similar routes in Djibouti City are found. These routes are used in the simulation in order to scrutinize if more similar routes lead to more similar results regarding the arrival rate as a metric. The results suggest that the route selection framework is suitable for replication studies for the Turn-By-Turn navigation approach but needs further improvement for the Free Choice Navigation approach by adding features describing the neighborhood of the route. |
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. |
Mazurkiewicz, Bartosz; Kattenbeck, Markus; Giannopoulos, Ioannis Navigating Your Way! Increasing the Freedom of Choice During Wayfinding (Inproceedings) In: Janowicz, Krzysztof; Verstegen, Judith A. (Ed.): 11th International Conference on Geographic Information Science (GIScience 2021) - Part II, pp. 9:1–9:16, Schloss Dagstuhl -- Leibniz-Zentrum für Informatik, Dagstuhl, Germany, 2021, ISSN: 1868-8969. @inproceedings{mazurkiewicz_et_al:LIPIcs.GIScience.2021.II.9,
title = {Navigating Your Way! Increasing the Freedom of Choice During Wayfinding},
author = {Bartosz Mazurkiewicz and Markus Kattenbeck and Ioannis Giannopoulos},
editor = {Krzysztof Janowicz and Judith A. Verstegen},
url = {https://drops.dagstuhl.de/opus/volltexte/2021/14768},
doi = {10.4230/LIPIcs.GIScience.2021.II.9},
issn = {1868-8969},
year = {2021},
date = {2021-09-14},
urldate = {2021-09-14},
booktitle = {11th International Conference on Geographic Information Science (GIScience 2021) - Part II},
volume = {208},
pages = {9:1--9:16},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum für Informatik},
address = {Dagstuhl, Germany},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
abstract = {Using navigation assistance systems has become widespread and scholars have tried to mitigate potentially adverse effects on spatial cognition these systems may have due to the division of attention they require. In order to nudge the user to engage more with the environment, we propose a novel navigation paradigm called Free Choice Navigation balancing the number of free choices, route length and number of instructions given. We test the viability of this approach by means of an agent-based simulation for three different cities. Environmental spatial abilities and spatial confidence are the two most important modeled features of our agents. Our results are very promising: Agents could decide freely at more than 50% of all junctions. More than 90% of the agents reached their destination within an average distance of about 125% shortest path length.},
keywords = {Agent-based Simulation, Free Choice Navigation, wayfinding},
pubstate = {published},
tppubtype = {inproceedings}
}
Using navigation assistance systems has become widespread and scholars have tried to mitigate potentially adverse effects on spatial cognition these systems may have due to the division of attention they require. In order to nudge the user to engage more with the environment, we propose a novel navigation paradigm called Free Choice Navigation balancing the number of free choices, route length and number of instructions given. We test the viability of this approach by means of an agent-based simulation for three different cities. Environmental spatial abilities and spatial confidence are the two most important modeled features of our agents. Our results are very promising: Agents could decide freely at more than 50% of all junctions. More than 90% of the agents reached their destination within an average distance of about 125% shortest path length. |
