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Ego- and Exocentric Navigation for Cyclists Using Augmented Reality
KTH, School of Electrical Engineering and Computer Science (EECS).
2024 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Ego- och Exocentrisk Navigering för Cyklister som använder Augmented Reality (Swedish)
Abstract [en]

Traditional navigation methods for urban cyclists often require reducing speed and shifting visual attention, compro- mising efficiency and safety. This study explores integrating Augmented Reality (AR) into urban cyclist navigation, combining turn-by-turn (TBT) and as-the-crow-flies (ATCF) strategies with egocentric and exocentric perspectives. We developed four AR navigation methods: (a) Turn Sign, (b) Intersection Arrows, (c) Absolute Arrow, and (d) Beacon. To evaluate the effectiveness of these methods in large virtual environments while cycling in a limited physical space, we proposed a redirection technique, Circle Redirection. In a controlled outdoor experiment with 24 participants, the exocentric TBT method showed the highest wayfinding efficiency and lowest workload, while the egocentric ATCF method was preferred over the exocentric ATCF. Additionally, our findings suggest that these navigation methods could be combined or adapted for walking or driving scenarios. The simulation environment incorporating Circle Redirection proved effective for the user study, though improvements in perceived safety are needed.

Abstract [sv]

Traditionella navigeringsmetoder för stads cyklister kräver ofta att man minskar hastigheten och flyttar visuell upp- märksamhet, vilket äventyrar effektivitet och säkerhet. Denna studie utforskar integrationen av Augmented Reality (AR) i navigering för stads cyklister, genom att kombinera sväng-för-sväng (TBT) och fågelvägen (ATCF) strategier med egocentriska och exocentriska perspektiv. Vi utvecklade fyra AR-navigeringsmetoder: (a) Turn Sign, (b) Intersec- tion Arrows, (c) Absolute Arrow och (d) Beacon. För att utvärdera effektiviteten av dessa metoder i stora virtuella miljöer medan man cyklar i ett begränsat fysiskt utrymme, föreslog vi en omdirigeringsteknik, Circle Redirection. I ett kontrollerat utomhusexperiment med 24 deltagare visade den exocentriska TBT-metoden den högsta vägfinnings effektiviteten och lägsta arbetsbelastningen, medan den egocentriska ATCF-metoden föredrogs över den exocentriska ATCF. Dessutom tyder våra resultat på att dessa navigeringsmetoder kan kombineras eller anpassas för promenader eller körning. Simuleringsmiljön som inkorporerar Circle Redirection visade sig vara effektiv för användarstudien, även om förbättringar i upplevd säkerhet behövs.

Place, publisher, year, edition, pages
2024. , p. 25
Series
TRITA-EECS-EX ; 2024:726
Keywords [en]
Cyclist Assistance System, Navigation, Augmented Reality
Keywords [sv]
cyklisthjälpsystem, navigering, Augmented Reality
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-359776OAI: oai:DiVA.org:kth-359776DiVA, id: diva2:1936731
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Available from: 2025-02-17 Created: 2025-02-11 Last updated: 2025-02-17Bibliographically approved

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CiteExportLink to record
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