Matviienko, Andrii ; Müller, Florian ; Schön, Dominik ; Seesemann, Paul ; Günther, Sebastian ; Mühlhäuser, Max (2022)
BikeAR: Understanding Cyclists' Crossing Decision-Making at Uncontrolled Intersections using Augmented Reality.
2022 CHI Conference on Human Factors in Computing Systems. New Orleans, USA (29.04.-05.05.2022)
doi: 10.1145/3491102.3517560
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Cycling has become increasingly popular as a means of transportation. However, cyclists remain a highly vulnerable group of road users. According to accident reports, one of the most dangerous situations for cyclists are uncontrolled intersections, where cars approach from both directions. To address this issue and assist cyclists in crossing decision-making at uncontrolled intersections, we designed two visualizations that: (1) highlight occluded cars through an X-ray vision and (2) depict the remaining time the intersection is safe to cross via a Countdown. To investigate the efficiency of these visualizations, we proposed an Augmented Reality simulation as a novel evaluation method, in which the above visualizations are represented as AR, and conducted a controlled experiment with 24 participants indoors. We found that the X-ray ensures a fast selection of shorter gaps between cars, while the Countdown facilitates a feeling of safety and provides a better intersection overview.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2022 |
| Autor(en): | Matviienko, Andrii ; Müller, Florian ; Schön, Dominik ; Seesemann, Paul ; Günther, Sebastian ; Mühlhäuser, Max |
| Art des Eintrags: | Bibliographie |
| Titel: | BikeAR: Understanding Cyclists' Crossing Decision-Making at Uncontrolled Intersections using Augmented Reality |
| Sprache: | Englisch |
| Publikationsjahr: | 29 April 2022 |
| Verlag: | ACM |
| Buchtitel: | CHI'22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems |
| Veranstaltungstitel: | 2022 CHI Conference on Human Factors in Computing Systems |
| Veranstaltungsort: | New Orleans, USA |
| Veranstaltungsdatum: | 29.04.-05.05.2022 |
| DOI: | 10.1145/3491102.3517560 |
| Kurzbeschreibung (Abstract): | Cycling has become increasingly popular as a means of transportation. However, cyclists remain a highly vulnerable group of road users. According to accident reports, one of the most dangerous situations for cyclists are uncontrolled intersections, where cars approach from both directions. To address this issue and assist cyclists in crossing decision-making at uncontrolled intersections, we designed two visualizations that: (1) highlight occluded cars through an X-ray vision and (2) depict the remaining time the intersection is safe to cross via a Countdown. To investigate the efficiency of these visualizations, we proposed an Augmented Reality simulation as a novel evaluation method, in which the above visualizations are represented as AR, and conducted a controlled experiment with 24 participants indoors. We found that the X-ray ensures a fast selection of shorter gaps between cars, while the Countdown facilitates a feeling of safety and provides a better intersection overview. |
| Freie Schlagworte: | augmented reality, cyclist safety, crossing decision-making, emergenCITY, emergenCITY_INF |
| Zusätzliche Informationen: | Art.No.: 366 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Telekooperation LOEWE LOEWE > LOEWE-Zentren LOEWE > LOEWE-Zentren > emergenCITY |
| Hinterlegungsdatum: | 23 Jun 2022 09:15 |
| Letzte Änderung: | 06 Jul 2023 06:53 |
| PPN: | 502179511 |
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| Suche nach Titel in: | TUfind oder in Google |
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