Free as a Bird, but at What Cost? The Impact of Street Networks on the User Experience of As-The-Crow-Flies Navigation for Cyclists
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Free as a Bird, but at What Cost? The Impact of Street Networks on the User Experience of As-The-Crow-Flies Navigation for Cyclists. / Savino, Gian Luca; Kariryaa, Ankit; Schöning, Johannes.
In: Proceedings of the ACM on Human-Computer Interaction, Vol. 6, No. MHCI, 209, 2022.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Free as a Bird, but at What Cost? The Impact of Street Networks on the User Experience of As-The-Crow-Flies Navigation for Cyclists
AU - Savino, Gian Luca
AU - Kariryaa, Ankit
AU - Schöning, Johannes
N1 - Publisher Copyright: © 2022 Copyright held by the owner/author(s).
PY - 2022
Y1 - 2022
N2 - As-the-crow-flies (ATCF) navigation is an alternative to turn-by-turn navigation for cyclists utilizing the least-angle strategy by providing the beeline to the destination. However, past research found weaknesses (e.g., running into dead ends) affecting the user experience. In this paper, we investigate how the street network attributes to the experience of the navigation method. Using a feature importance analysis and comparison of different city types across 1633 cities, we analyze how ATCF navigation fits different environments. The perfect ACTF-city has long streets, many options to turn at decision points, few dead ends, and a grid-like structure. Cities well suited are primarily found in East Asia and North America. Furthermore, we find that previous ATCF studies were most likely conducted in Western Europe, which features the least suited street networks for the navigation method. We present design implications for future ATCF implementations and argue for diverse study locations in future research.
AB - As-the-crow-flies (ATCF) navigation is an alternative to turn-by-turn navigation for cyclists utilizing the least-angle strategy by providing the beeline to the destination. However, past research found weaknesses (e.g., running into dead ends) affecting the user experience. In this paper, we investigate how the street network attributes to the experience of the navigation method. Using a feature importance analysis and comparison of different city types across 1633 cities, we analyze how ATCF navigation fits different environments. The perfect ACTF-city has long streets, many options to turn at decision points, few dead ends, and a grid-like structure. Cities well suited are primarily found in East Asia and North America. Furthermore, we find that previous ATCF studies were most likely conducted in Western Europe, which features the least suited street networks for the navigation method. We present design implications for future ATCF implementations and argue for diverse study locations in future research.
KW - as-the-crow-flies
KW - cycling
KW - navigation
KW - simulation
KW - street network
U2 - 10.1145/3546744
DO - 10.1145/3546744
M3 - Journal article
AN - SCOPUS:85141180266
VL - 6
JO - Proceedings of the ACM on Human-Computer Interaction
JF - Proceedings of the ACM on Human-Computer Interaction
SN - 2573-0142
IS - MHCI
M1 - 209
ER -
ID: 344654247