ORCID Profile
0000-0001-5629-0981
Current Organisation
Umea Universitet
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Geospatial Information Systems | Geomatic Engineering | Computational Linguistics | Linguistic Structures (incl. Grammar, Phonology, Lexicon, Semantics) | Environmental Monitoring | Information Retrieval and Web Search | Natural Language Processing
ANZSRC Socio-Economic Objective (SEO)
Flora, Fauna and Biodiversity of environments not elsewhere classified | Environmental Management Systems | Industry Costs and Structure | Rehabilitation of Degraded Fresh, Ground and Surface Water Environments | Economic Incentives for Environmental Protection | Information Processing Services (incl. Data Entry and Capture) | Electronic Information Storage and Retrieval Services |
Related Links
Publications
Abstracting routes to their route-defining locations
Publisher: Elsevier BV
Date: 2022
This is the tricky part: When directions become difficult
Publisher: Journal of Spatial Information Science
Date: 27-07-2010
Semantic trajectory compression: Representing urban movement in a nutshell
Publisher: Journal of Spatial Information Science
Date: 27-06-2012
Urban granularities - A data structure for cognitively ergonomic route directions
Publisher: Springer Science and Business Media LLC
Date: 31-05-2009
Landmarks: Giscience for intelligent services
Publisher: Springer International Publishing
Date: 2014
How people describe their place: Identifying predominant types of place descriptions
Publisher: ACM
Date: 06-11-2012
Automatic analysis of positional plausibility for points of interest in OpenStreetMap using coexistence patterns
Publisher: Informa UK Limited
Date: 05-03-2019
Label Placement Challenges in City Wayfinding Map Production—Identification and Possible Solutions
Publisher: Springer Science and Business Media LLC
Date: 25-05-2022
DOI: 10.1007/S41651-022-00115-Z
Abstract: Map label placement is an important task in map production, which needs to be automated since it is tedious and requires a significant amount of manual work. In this paper, we identify five cartographic labeling situations that present challenges by causing intensive manual work in map production of city wayfinding maps, e.g., label placement in high density areas , utilizing true label geometries in automated methods , and creating a good relationship between text labels and icons . We evaluate these challenges in an open source map labeling tool (QGIS), provide results from a preliminary study, and discuss if there are other techniques that could be applicable to solving these challenges. These techniques are based on quantified cartographic rules or on machine learning. We focus on deep learning for which we provide several ex les of techniques from other application domains that might have a potential in map label placement. The aim of the paper is to explore those techniques and to recommend future practical studies for each of the identified five challenges in map production. We believe that targeting the revealed challenges using the proposed solutions will significantly raise the automation level for producing city wayfinding maps, thus, having a real, measurable impact on production time and costs.
Locating place names from place descriptions
Publisher: Informa UK Limited
Date: 12-2013
Adaptable path planning in regionalized environments
Publisher: Springer Berlin Heidelberg
Date: 2009
Route aware maps: Multigranular wayfinding assistance
Publisher: Informa UK Limited
Date: 06-2010
Generating adaptive route instructions using hierarchical reinforcement learning
Publisher: Springer Berlin Heidelberg
Date: 2010
Qualitative matching of spatial information
Publisher: ACM
Date: 02-11-2010
The cognitive reality of schematic maps
Publisher: Springer-Verlag
Date: 2005
Infrastructure-Independent Indoor Localization and Navigation
Publisher: Association for Computing Machinery (ACM)
Date: 18-06-2020
DOI: 10.1145/3321516
Abstract: In the absence of any global positioning infrastructure for indoor environments, research on supporting human indoor localization and navigation trails decades behind research on outdoor localization and navigation. The major barrier to broader progress has been the dependency of indoor positioning on environment-specific infrastructure and resulting tailored technical solutions. Combined with the fragmentation and compartmentalization of indoor environments, this poses significant challenges to widespread adoption of indoor location-based services. This article puts aside all approaches of infrastructure-based support for human indoor localization and navigation and instead reviews technical concepts that are independent of sensors embedded in the environment. The reviewed concepts rely on a mobile computing platform with sensing capability and a human interaction interface (“smartphone”). This platform may or may not carry a stored map of the environment, but does not require in situ internet access. In this regard, the presented approaches are more challenging than any localization and navigation solutions specific to a particular, infrastructure-equipped indoor space, since they are not adapted to local context, and they may lack some of the accuracy achievable with those tailored solutions. However, only these approaches have the potential to be universally applicable.
Semantic trajectory compression
Publisher: Springer Berlin Heidelberg
Date: 2009
Granularity of locations referred to by place descriptions
Publisher: Elsevier BV
Date: 09-2013
The impact of classification approaches on the detection of hierarchies in place descriptions
Publisher: Springer International Publishing
Date: 2013
Defensive wayfinding: Incongruent information in route following
Publisher: Springer International Publishing
Date: 2015
Spatial interpretations of preposition at
Publisher: ACM
Date: 06-11-2012
A mobile application for a user-generated collection of landmarks
Publisher: Springer International Publishing
Date: 2015
A dialog-driven process of generating route directions
Publisher: Elsevier BV
Date: 05-2008
Citizens as database: Conscious ubiquity in data collection
Publisher: Springer Berlin Heidelberg
Date: 2011
Not all anxious individuals get lost: Trait anxiety and mental rotation ability interact to explain performance in map-based route learning in men
Publisher: Elsevier BV
Date: 07-2016
DOI: 10.1016/J.NLM.2016.04.008
Abstract: Navigation through an environment is a fundamental human activity. Although group differences in navigational ability are documented (e.g., gender), little is known about traits that predict these abilities. Apart from a well-established link between mental rotational abilities and navigational learning abilities, recent studies point to an influence of trait anxiety on the formation of internal cognitive spatial representations. However, it is unknown whether trait anxiety affects the processing of information obtained through externalized representations such as maps. Here, we addressed this question by taking into account emerging evidence indicating impaired performance in executive tasks by high trait anxiety specifically in in iduals with lower executive capacities. For this purpose, we tested 104 male participants, previously characterised on trait anxiety and mental rotation ability, on a newly-designed map-based route learning task, where participants matched routes presented dynamically on a city map to one presented immediately before (same/different judgments). We predicted an interaction between trait anxiety and mental rotation ability, specifically that performance in the route learning task would be negatively affected by anxiety in participants with low mental rotation ability. Importantly, and as predicted, an interaction between anxiety and mental rotation ability was observed: trait anxiety negatively affected participants with low-but not high-mental rotation ability. Our study reveals a detrimental role of trait anxiety in map-based route learning and specifies a disadvantage in the processing of map representations for high-anxious in iduals with low mental rotation abilities.
‘Straight? What straight?’Investigating navigation instructions’applicability
Publisher: Informa UK Limited
Date: 18-12-2023
Constructing hierarchical representations of indoor spaces
Publisher: IEEE
Date: 2009
DOI: 10.1109/MDM.2009.117
Investigating Wayfinding Under Inconsistent Information
Publisher: Springer International Publishing
Date: 2020
Mapping Drainage Ditches in Forested Landscapes Using Deep Learning and Aerial Laser Scanning
Publisher: American Society of Civil Engineers (ASCE)
Date: 03-2023
Linking cognitive and computational saliences in route information
Publisher: Springer Berlin Heidelberg
Date: 2012
Cognitively ergonomic route directions
Publisher: IGI Global
Date: 2009
DOI: 10.4018/978-1-59140-995-3.CH029
Abstract: This contribution provides an overview of elements of cognitively ergonomic route directions. Cognitive ergonomics, in general, seeks to identify characteristics of cognitive information processing and to formalize these characteristics such that they can be used to improve information systems. For route directions, an increasing number of behavioral studies have, for ex le, pointed to the following characteristics: the use of landmarks, changing levels of granularity, the qualitative description of spatial relations. The authors detail these aspects and additionally introduce formal approaches that incorporate them to automatically provide route directions that adhere to principles of cognitive ergonomics.
Up, down, turn around: Assisted wayfinding involving level changes
Publisher: Springer International Publishing
Date: 2014
Hierarchical representations of indoor spaces
Publisher: SAGE Publications
Date: 2011
DOI: 10.1068/B37057
Abstract: Compared with typical outdoor spaces, indoor spaces are clustered and have a fragmented social structure and erse groups use the space in different ways, which results in different conceptualizations. Accordingly, these spaces pose many challenges for spatial information systems, amongst them appropriate spatial communication with users as different conceptualizations result in different communication needs. The conceptualizations are hierarchical in nature and, thus, information systems also require hierarchical representations of indoor spaces. In this paper we present a hierarchization process that acounts for different use roles. The hierarchization exploits structural, functional, and organizational dimensions and allows for communicating different aspects of the space in a way tailored to the specific user groups.
The effects of visual realism, spatial abilities, and competition on performance in map-based route learning in men
Publisher: Informa UK Limited
Date: 04-07-2018
Decentralized evacuation management
Publisher: Elsevier BV
Date: 06-2013
Supporting the designer's and the user's perspectives in computer-aided architectural design
Publisher: Elsevier BV
Date: 04-2010
Against All Odds: Multicriteria Decision Making with Hazard Prediction Maps Depicting Uncertainty
Publisher: Informa UK Limited
Date: 23-09-2020
Computer aided architectural design: Wayfinding complexity analysis
Publisher: IEEE
Date: 04-2008
Get me out of here: Collaborative evacuation based on local knowledge
Publisher: ACM
Date: 11-2011
What do focus maps focus on?
Publisher: Springer Berlin Heidelberg
Date: 2008
Identifying Landmark Candidates Beyond Toy Examples
Publisher: Springer Science and Business Media LLC
Date: 02-2017
Supporting user-specific views via multidimensional trees
Publisher: ACM
Date: 31-03-2001
Related Organisations
Related Funding Activities
Discovery Projects - Grant ID: DP120100072
Start Date: 04-2012
End Date: 12-2015
Amount: $360,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP100200199
Start Date: 05-2011
End Date: 09-2015
Amount: $300,000.00
Funder: Australian Research Council
View Funded Activity