Developing Landmark-Based Pedestrian-Navigation Systems

Millonig, Alexandra; Schechtner, Katja

doi:10.1109/tits.2006.889439

Cited by 131 publications

(46 citation statements)

References 13 publications

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“…Distant landmarks, for instance a mountain range or tall building, can also provide global awareness and aid in orientation relative to an environment's overall structure (Steck & Mallot, 2000). For these reasons, recent research and development efforts in spatial information technologies are exploring the potential utility of incorporating salient landmarks into digital navigation supports (Burnett, 2000;Duckham, Winter, & Robinson, 2010;Millonig & Schechtner, 2007;Schroder, Mackaness, & Gittings, 2011).…”

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confidence: 99%

Where did it come from, where do you go? Direction sources influence navigation decisions during spatial uncertainty

Brunyé

Gagnon

Gardony

et al. 2015

Quarterly Journal of Experimental Psychology

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Previous research on route directions largely considers the case when a knowledgeable route-giver conveys accurate information. In the real world, however, route information is sometimes inaccurate, and directions can lead navigators astray. We explored how participants respond to route directions containing ambiguities between landmarks and turn directions, forcing reliance on one or the other. In three experiments, participants read route directions (e.g., To get to the metro station, take a right at the pharmacy) and then selected from destinations on a map. Critically, in half of the trials the landmark (pharmacy) and turn (right) directions were conflicting, such that the participant had to make a decision under conditions of uncertainty; under these conditions, we measured whether participants preferentially relied upon landmark- versus direction-based strategies. Across the three experiments, participants were either provided no information regarding the source of directions (Experiment 1), or told that the source of directions was a GPS device (Experiment 2), or a human (Experiment 3). Without information regarding the source of directions, participants generally relied on landmarks or turn information under conditions of ambiguity; in contrast, with a GPS source participants relied primarily on turn information, and with a human source on landmark information. Results were robust across gender and individual differences in spatial preference. We discuss these results within the context of spatial decision-making theory and consider implications for the design and development of landmark-inclusive navigation systems.

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confidence: 99%

Where did it come from, where do you go? Direction sources influence navigation decisions during spatial uncertainty

Brunyé

Gagnon

Gardony

et al. 2015

Quarterly Journal of Experimental Psychology

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“…the system of Millonig and Schechtner [22]. The system designed by Hile et al [14] presents a set of heuristics for selecting appropriate landmarks along the navigation path.…”

Section: Pedestrian Navigationmentioning

confidence: 99%

Navigation Problems in Blind-to-Blind Pedestrians Tele-assistance Navigation

Balata

Mikovec

Maly

2015

Human-Computer Interaction – INTERACT 2015

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Abstract. We raise a question whether it is possible to build a large-scale navigation system for blind pedestrians where a blind person navigates another blind person remotely by mobile phone. We have conducted an experiment, in which we observed blind people navigating each other in a city center in 19 sessions. We focused on problems in the navigator's attempts to direct the traveler to the destination. We observed 96 problems in total, classified them on the basis of the type of navigator or traveler activity and according to the location in which the problem occurred. Most of the problems occurred during the activities performed by the navigator. We extracted a set of guidelines based on analysis of navigation problems and successful navigation strategies. We have partially mapped the problem of tele-assistance navigation to POMDP based dialogue system.

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“…Also, depending on the environmental characteristics, the chances of noticing a wrong decision can change dramatically. Research shows that landmarks for wayfinding are much harder to distinguish indoors than outdoors (Millonig et al, 2007). Additionally, the fact that you have to walk up and down staircases could be naturally having a greater weight because taking a wrong decision might result in walking up and down the stairs twice.…”

Section: Recommendations For Adjusting the Least Risk Path Algorithmmentioning

confidence: 99%

Calculating Least Risk Paths in 3d Indoor Space

Vanclooster

Maeyer

Fack

et al. 2013

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Over the last couple of years, research on indoor environments has gained a fresh impetus; more specifically applications that support navigation and wayfinding have become one of the booming industries. Indoor navigation research currently covers the technological aspect of indoor positioning and the modelling of indoor space. The algorithmic development to support navigation has so far been left mostly untouched, as most applications mainly rely on adapting Dijkstra's shortest path algorithm to an indoor network. However, alternative algorithms for outdoor navigation have been proposed adding a more cognitive notion to the calculated paths and as such adhering to the natural wayfinding behaviour (e.g. simplest paths, least risk paths). These algorithms are currently restricted to outdoor applications. The need for indoor cognitive algorithms is highlighted by a more challenged navigation and orientation due to the specific indoor structure (e.g. fragmentation, less visibility, confined areas…). As such, the clarity and easiness of route instructions is of paramount importance when distributing indoor routes. A shortest or fastest path indoors not necessarily aligns with the cognitive mapping of the building. Therefore, the aim of this research is to extend those richer cognitive algorithms to three-dimensional indoor environments. More specifically for this paper, we will focus on the application of the least risk path algorithm of Grum (2005) to an indoor space. The algorithm as proposed by Grum (2005) is duplicated and tested in a complex multi-storey building. The results of several least risk path calculations are compared to the shortest paths in indoor environments in terms of total length, improvement in route description complexity and number of turns. Several scenarios are tested in this comparison: paths covering a single floor, paths crossing several building wings and/or floors. Adjustments to the algorithm are proposed to be more aligned to the specific structure of indoor environments (e.g. no turn restrictions, restricted usage of rooms, vertical movement) and common wayfinding strategies indoors. In a later stage, other cognitive algorithms will be implemented and tested in both an indoor and combined indoor-outdoor setting, in an effort to improve the overall user experience during navigation in indoor environments. * Corresponding author. This is useful to know for communication with the appropriate person in cases with more than one author.

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Developing Landmark-Based Pedestrian-Navigation Systems

Cited by 131 publications

References 13 publications

Where did it come from, where do you go? Direction sources influence navigation decisions during spatial uncertainty

Where did it come from, where do you go? Direction sources influence navigation decisions during spatial uncertainty

Navigation Problems in Blind-to-Blind Pedestrians Tele-assistance Navigation

Calculating Least Risk Paths in 3d Indoor Space

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