Selection of Salient Features for Route Directions

Nothegger, Clemens; Winter, Stephan; Raubal, Martin

doi:10.1207/s15427633scc0402_1

Cited by 155 publications

(99 citation statements)

References 30 publications

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“…Indeed, within wayfinding and navigation tasks, the use of landmarks has been found to be a key aspect [5,6], and a large amount of research has been conducted as to how landmarks are used in navigational tasks [4,7,8] with a distinct importance being found in relation to routing descriptions [6,9,10]. In particular, much research has emerged relating to pedestrian-based navigation [11][12][13][14][15][16], where the use of landmarks can be seen as highly beneficial.…”

Section: Landmarks In Navigationmentioning

confidence: 99%

“…As mentioned, the salience of features is an important aspect of whether they can be used as landmarks [8,14]. This salience can be seen as forming from a relationship between the observer, the environment and the feature itself [20].…”

Section: Characteristics and Detection Of Landmarksmentioning

confidence: 99%

“…In work by Sorrows and Hirtle [21], the attributes that contribute to the saliency of a feature were split into three main categories: visual salience, cognitive salience and structural salience. These categories and the attributes within them are used in a number of later studies, such as those by Raubal and Winter [8] and Nothegger, Winter and Raubal [14]. These higher level categories can be mapped to those presented by Appleyard [3] with cognitive saliency mapping to symbolic value, structural saliency mapping closer to the attributes of Appleyard's visibility category and finally visual saliency mapping closer to the form category.…”

Section: Characteristics and Detection Of Landmarksmentioning

confidence: 99%

See 2 more Smart Citations

Towards a Landmark-Based Pedestrian Navigation Service Using OSM Data

Rousell

Zipf

2017

IJGI

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Abstract:With the advent of location-aware smartphones, the desire for pedestrian-based navigation services has increased. Unlike car-based services where instructions generally are comprised of distance and road names, pedestrian instructions should instead focus on the delivery of landmarks to aid in navigation. OpenStreetMap (OSM) contains a vast amount of geospatial information that can be tapped into for identifying these landmark features. This paper presents a prototype navigation service that extracts landmarks suitable for navigation instructions from the OSM dataset based on several metrics. This is coupled with a short comparison of landmark availability within OSM, differences in routes between locations with different levels of OSM completeness and a short evaluation of the suitability of the landmarks provided by the prototype. Landmark extraction is performed on a server-side service, with the instructions being delivered to a pedestrian navigation application running on an Android mobile device.

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Section: Landmarks In Navigationmentioning

confidence: 99%

Section: Characteristics and Detection Of Landmarksmentioning

confidence: 99%

Section: Characteristics and Detection Of Landmarksmentioning

confidence: 99%

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Towards a Landmark-Based Pedestrian Navigation Service Using OSM Data

Rousell

Zipf

2017

IJGI

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“…For example, there is evidence that landmarks do appear play a role during navigation, although these are less generalizable or universally applicable (i.e. there is less of a 'one size fits all' explanation) than might have previously been theorized: salience of landmarks, individual differences and the particular form of wayfinding task all appear to play a role in people's selection, use and recall of landmarks [21], [22]. User's internal representations of environments, or cognitive maps, also tend to serve to simplify the external world and hence reduce its overall complexity.…”

Section: What Can Cognitive Studies Tell Us About Navigation In Complmentioning

confidence: 99%

“…Another method is to deliberately utilize architectural features as 'landmarks'. These work best if placed at decision points and if they are have a large visibilitycatchment areas, and so can be seen from multiple locations [21], [22].…”

Section: Implications For Architectural Designmentioning

confidence: 99%

Navigating Complex Buildings: Cognition, Neuroscience and Architectural Design

Dalton

Höelscher

Spiers

2014

Studying Visual and Spatial Reasoning for Design Creativity

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This paper is in two sections, the first section presents a review of recent research in the areas of neuroscience, cognitive science and architecture with particular respect to what is currently understood about how buildingusers find their way around complex buildings. It goes on to define four areas of promising, potential future research located on the boundaries between these three disciplines, these being: spatial knowledge acquisition, orientation, multilevel environments and environment intelligibility. In the second half of the paper, it suggests how such current research and/or any future program of research could be used to aid architects in the design of new buildings. One such method suggested is the creation of designguidelines or heuristics based upon research into navigation and wayfinding. The paper concludes with an example list of eight sample guidelines.

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Volunteered Geographic Information

Sui

Cinnamon

2017

International Encyclopedia of Geography

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Volunteered geographic information (VGI) refers to geographic information that is acquired and made available to others through the voluntary activities of either individuals or groups. The growth of VGI in the past 10 years is a result of several related technological advances and scientific practices, such as Web 2.0, Geoweb, mobile technologies, neogeography, citizen science, crowdsourcing, and open science. VGI often differs from conventionally produced forms of geographic information, including the types of information produced and the approaches used to acquire it, the methods and techniques for working with it, and the social processes that mediate its creation. As VGI is rapidly merging with the stream of big data, issues regarding its quality assurance, methodology of use, and legal/ethical implications have been raised. As an alternative data source that in many ways complements traditional sources such as those produced by national mapping agencies and cartographic corporations, VGI has been shown to be a valuable data source for a variety of applications, especially in low‐resource areas and time‐sensitive situations.

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Selection of Salient Features for Route Directions

Cited by 155 publications

References 30 publications

Towards a Landmark-Based Pedestrian Navigation Service Using OSM Data

Towards a Landmark-Based Pedestrian Navigation Service Using OSM Data

Navigating Complex Buildings: Cognition, Neuroscience and Architectural Design

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