nach oben

KI - Künstliche Intelligenz

Erschienen in:

04.06.2020 | Discussion

Visual Landmarks are Exaggerated: A Theoretical and Empirical View on the Meaning of Landmarks in Human Wayfinding

verfasst von: Kai Hamburger

Erschienen in: KI - Künstliche Intelligenz | Ausgabe 4/2020

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Are landmarks exaggerated in human wayfinding? Daniel R. Montello says yes, and I basically agree with his opinion. However, I do agree on a different level. My aim for this discussion article is to point out why landmarks are indeed exaggerated in this research context and I will try to approach this claim from several perspectives. First, the research focus in this field is, unfortunately, mainly on visual landmarks. Second, other modalities than vision—e.g., auditory and/or olfactory senses—can be used for landmark-based wayfinding. Third, we need to clearly differentiate between conscious/effortful and unconscious/automatic processing of spatial information in the context of landmark-based wayfinding. Finally, I will suggest that landmarks, even if exaggerated in the visual domain, are (still) of significant importance in human wayfinding and spatial cognition.

Vorheriger Artikel Interview with Diego Calvanese

Nächster Artikel Our Software Production is Still Some Sort of Hacking

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

KI - Künstliche Intelligenz

The Scientific journal "KI – Künstliche Intelligenz" is the official journal of the division for artificial intelligence within the "Gesellschaft für Informatik e.V." (GI) – the German Informatics Society - with constributions from troughout the field of artificial intelligence.

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Montello DR (2017) Landmarks are exaggerated. KI Künstliche Intelligenz 31(2):193–197. https://doi.org/10.1007/s13218-016-0473-5CrossRef

Richter K-F, Winter S (2014) Landmarks—GIScience for intelligent services. Springer, Heidelberg/New York. https://doi.org/10.1007/978-3-319-05732-3CrossRef

Lynch K (1960) The image of the city. MIT Press, Cambridge

Röser F, Hamburger K, Krumnack A, Knauff M (2012) The structural salience of landmarks: results from an on-line study and a virtual environment experiment. J Spatial Sci 57(1):37–50. https://doi.org/10.1080/14498596.2012.686362CrossRef

Quesnot T, Roche S (2015) Measure of landmark semantic salience through geosocial data streams. ISPRS Int J Geo Inf 4:1–31. https://doi.org/10.3390/ijgi4010001CrossRef

Nuhn E, Timpf S (2017) A multidimensional model for selecting personalised landmarks. J Loc Based Serv 11(3–4):153–180. https://doi.org/10.1080/17489725.2017.1401129CrossRef

Klippel A, Winter S (2005) Structural salience of landmarks for route discrimination. In: Cohn AG, Mark D (eds) Spatial information theory. International Conference COSIT. Springer, Berlin, pp 347–362CrossRef

Kattenbeck M (2017) How subdimensions of salience influence each other. Comparing models based on empirical data. Leibniz Int Proc Inf LIPIcs 86(10):1–10. https://doi.org/10.4230/LIPIcs.COSIT.2017.10CrossRef

Röser F (2015) The cognitive observer-based landmark-preference model—what ist he ideal landmark position at an intersection? Dissertation Justus Liebig University Giessen. urn:nbn:de-opus-116408

10.

Hamburger K, Röser F (2011) The meaning of Gestalt for human wayfinding—how much does it cost to switch modalities? Gestalt Theory 33(3/4):363–382

11.

Hamburger K, Röser F (2014) The role of landmark modality and familiarity in human wayfinding. Swiss J Psychol 73(4):205–213. https://doi.org/10.1024/1421-0185/a000139CrossRef

12.

Karimpur H, Hamburger K (2016) Multimodal integration of spatial information: the influence of object-related factors and self-reported strategies. Front Psychol 7:1443. https://doi.org/10.3389/fpsyg.2016.01443CrossRef

13.

Caduff D, Timpf S (2008) On the assessment of landmark salience for human navigation. Cogn Process 9:249–267. https://doi.org/10.1007/s10339-007-0199-2CrossRef

14.

Hamburger K, Karimpur H (2017) A psychological approach to olfactory information as cues in our environment. J Biourban 6(1&2):59–73

15.

Hamburger K, Knauff M (2019) Odors can serve as landmarks in human wayfinding. Cognit Sci 43:e12798. https://doi.org/10.1111/cogs.12798CrossRef

16.

Varga AL, Hamburger K (2014) Beyond type 1 vs type 2 processing: the tri-dimensional way. Front Psychol 5:993. https://doi.org/10.3389/fpsyg.2014.00993CrossRef

17.

Hamburger K, Trillmich CM, Baier F, Wolf C, Röser F (2014) How global visual landmarks influence the recognition of a city. Cogn Process 15(Suppl):S42–S44

18.

Balaban CZ, Karimpur H, Röser F, Hamburger K (2017) Turn left where you felt unhappy: how affect influences landmark-based wayfinding. Cogn Process 18(2):135–144. https://doi.org/10.1007/s10339-017-0790-0CrossRef

19.

Piccardi L, Guariglia P, Nori R, Palmiero M (2020) The role of emotional landmarks in embodied and not-embodied tasks. Brain Sci 10(2):E58. https://doi.org/10.3390/brainsci10020058CrossRef

20.

Gillett AJ, Heersmink R (2019) How navigation systems transform epistemic virtues: knowledge, issues and solutions. Cognit Syst Res 56:36–49. https://doi.org/10.1016/j.cogsys.2019.03.004CrossRef

21.

Pazzaglia F, Moè A (2013) Cognitive styles and mental rotation ability in map learning. Cogn Process 14:391–399. https://doi.org/10.1007/s10339-013-0572-2CrossRef

22.

Denis M (1997) The description of routes: a cognitive approach to the production of spatial discourse. Curr Psychol Cognit 16:409–458

23.

Denis M (2018) Space and spatial cognition. Routeledge, New York

24.

Michon P-E, Denis M (2001) When and why are visual landmarks used in giving directions? In: Montello DR (ed) COSIT 2001, LNCS 2205. Springer, Heidelberg, pp 292–305

25.

Spitzer M (2014) Digitale Demenz—Wie wir uns und unsere Kinder um den Verstand bringen. Droemer Verlag, München

Titel: Visual Landmarks are Exaggerated: A Theoretical and Empirical View on the Meaning of Landmarks in Human Wayfinding
verfasst von: Kai Hamburger
Publikationsdatum: 04.06.2020
Verlag: Springer Berlin Heidelberg
Erschienen in: KI - Künstliche Intelligenz / Ausgabe 4/2020
Print ISSN: 0933-1875
Elektronische ISSN: 1610-1987
DOI: https://doi.org/10.1007/s13218-020-00668-5

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

KI - Künstliche Intelligenz

Springer Professional "Wirtschaft"

Springer Professional "Technik"

Weitere Artikel der Ausgabe 4/2020

Ontology-Mediated Querying with Horn Description Logics

The AAA ABox Abduction Solver

NoHR: An Overview

A Lightweight Defeasible Description Logic in Depth

A Short Survey on Inconsistency Handling in Ontology-Mediated Query Answering

Semantic Technologies for Situation Awareness

Premium Partner