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Cognitive Processing

01.11.2008 | Review

On the assessment of landmark salience for human navigation

verfasst von: David Caduff, Sabine Timpf

Erschienen in: Cognitive Processing | Ausgabe 4/2008

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Abstract

In this paper, we propose a conceptual framework for assessing the salience of landmarks for navigation. Landmark salience is derived as a result of the observer’s point of view, both physical and cognitive, the surrounding environment, and the objects contained therein. This is in contrast to the currently held view that salience is an inherent property of some spatial feature. Salience, in our approach, is expressed as a three-valued Saliency Vector. The components that determine this vector are Perceptual Salience, which defines the exogenous (or passive) potential of an object or region for acquisition of visual attention, Cognitive Salience, which is an endogenous (or active) mode of orienting attention, triggered by informative cues providing advance information about the target location, and Contextual Salience, which is tightly coupled to modality and task to be performed. This separation between voluntary and involuntary direction of visual attention in dependence of the context allows defining a framework that accounts for the interaction between observer, environment, and landmark. We identify the low-level factors that contribute to each type of salience and suggest a probabilistic approach for their integration. Finally, we discuss the implications, consider restrictions, and explore the scope of the framework.

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Literatur
Aivar MP, Hayhoe MM, Chizk CL, Mruczek REB (2005) Spatial memory and saccadic targeting in a natural task. J Vis 5(3):177–193PubMedCrossRef
Allen GL (1997) From knowledge to words to wayfinding: issues in the preduiction and comprehension of route directions. In: Hirtle SC, Frank AU (eds) Spatial information theory: a theoretical basis for GIS, international conference COSIT ‘97. Springer, Laurel Highlands, pp 363–372CrossRef
Anderson ML (2003) Embodied cognition: a field guide. Artif Intell 149(1):91–130CrossRef
Appleyard D (1969) Why buildings are known—predictive tool for architects and planners. Environ Behav 1(2):131–156CrossRef
Ball K, Owsley C et al (1993) Visual attention problems as a predictor of vehicle crashes in older drivers. Invest Ophthalmol Vis Sci 34:3110–3123PubMed
Burnett G (2000) “Turn right at the traffic lights”: the requirement for landmarks in vehicle navigation systems. J Navig 53(3):499–510CrossRef
Busquets D, Sierra C, De Màntaras RL (2002) A multi-agent approach to fuzzy landmark-based navigation. J Multivalued Log Soft Comput 9:195–220
Busquets D, Sierra C, De Màntaras RL (2003) A multi-agent approach to qualitative landmark-based navigation. Auton Robots 15:129–154CrossRef
Caduff D, Timpf S (2005a) The landmark spider: representing landmark knowledge for wayfinding tasks. AAAI 2005 Spring Symposium. AAAI Press, Stanford
Caduff D, Timpf S (2005b) The landmark spider: weaving the landmark web. STRC’05—5th Swiss Transport Research Conference. Monte Verità, Switzerland, ETH, CD-ROM
Chater N, Tenenbaum JB, Yuille A (2006) Probabilistic Models of Cognition: Conceptual foundations. Trends Cogn Sci 10(7):287–291PubMedCrossRef
Couclelis H, Golledge RG, Gale N, Tobler W (1995) Exploring the anchor-point hypothesis of spatial cognition. In: Gaerling T (ed) Urban cognition. Academic, London
Daniel MP, Denis M (2004) The production of route directions: investigating conditions that favour conciseness in spatial discourse. Appl Cogn Psychol 18(1):57–75CrossRef
De Graef P, Lauwereyns J, Verfaillie K (2000) Attentional Orienting and Scene Semantics. Psychological Reports Nr.268. Laboratory of Experimental Psychology, University of Leuven, Belgium
Denis M, Pazzaglia F, Cornoldi C, Bertolo L (1999) Spatial discourse and navigation: an analysis of route directions in the city of Venice. Appl Cogn Sci 13:145–174CrossRef
Downs RM, Stea D (1977) Maps in minds:reflections on cognitive mapping. Harper & Row Publishers, New York, p 284
Elias B (2003a) Determination of landmarks and reliability criteria for landmarks. Fifth Workshop on Progress in Automated Map Generalization. ICA Commission on Map Generalization, IGN, Paris
Elias B (2003b) Extracting landmarks with data mining methods. In: Kuhn W, Worboys M, Timpf S (eds) International conference on spatial information theory, COSIT 2003. Springer, Kartause Ittingen, pp 375–389
Eriksen CW, St James JD (1986) Visual attention within and around the field of focal attention: a zoom lens model. Percept Psychophys 40(4):225–240PubMed
Eriksen CW, Yeh YY (1985) Allocation of attention in the visual field. Exp Psychol Human Percept Perform 11:583–597CrossRef
Escrig MT, Toledo F (2000) Autonomous robot navigation using human spatial concepts. Int J Intell Syst 15(3):165–196CrossRef
Fontaine S, Denis M (1999) The production of route instructions in underground and urban environments. In: Freksa C, Mark DM (eds) Spatial information theory: cognitive and computational foundations of geographic information science, International Conference COSIT ‘99. Springer, Stade, pp 83–94CrossRef
Funes MJ, Lupianez J, Milliken B (2005) The role of spatial attention and other processes on the magnitude and time course of cueing effects. Cogn Process 6(2):98–116PubMedCrossRef
Gärling T (1999) Human information processing in sequential spatial choice. In: Golledge RG (ed) Wayfinding behavior: cognitive mapping and other spatial processes. John Hopkins University Press, Baltimore, pp 89–98
Gärling T, Böök A, Lindberg E (1986) Spatial orientation and wayfinding in the designed environment: a conceptual analysis and some suggestions for postoccupancy evaluations. J Archit Plann Res 3:55–64
Galler I (2002) Identifikation von Landmarken in 3D-Stadtmodellen. Institut für Kartographie und Geoinformation. Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Diplomarbeit
Gigerenzer G, Murray DJ (1987) Cognition as intuitive statistics. Erlbaum, Hillsdale
Golledge RG (1991) Cognition of physical and built environments. In: Gaerling T, Evans GW (eds) Environment, cognition and action: an integrated approach. Oxford University Press, New York
Golledge RG (1992) Place recognition and wayfinding—making sense of space. Geoforum 23:199–214CrossRef
Golledge RG (1999a) Human wayfinding and cognitive maps. In: Golledge RG (ed) Wayfinding behavior: cognitive mapping and other spatial processes. John Hopkins University Press, Baltimore, pp 5–45
Golledge RG (1999b) Wayfinding behavior: cognitive mapping and other spatial processes. John Hopkins University Press, Baltimore, p 428
Haken H, Portugali J (2003) The face of the city is its information. J Environ Psychol 23(4):385–408CrossRef
Hayhoe MM, Shinoda H, Shrivastava A (2000) Attention in Natural Environments. Invest Ophthalmol Vis Sci 41:422–422
Henderson JM, Hollingworth A (1999) High-level Scene Perception. Annu Rev Psychol 50:243–271PubMedCrossRef
Hollands MA, Patla AE, Vickers JN (2002) “Look where you’re going!” Gaze Behaviour associated with maintaining and changing the direction of locomotion. Exp Brain Res 143(2):221–230PubMedCrossRef
Itti L, Koch C, Niebur E (1998) A Model of Saliency-based Visual Attention for Rapid Scene Analysis. IEEE Trans Pattern Anal Mach Intell 20(11):1254–1259CrossRef
James W (1890) The principles of psychology. Henry Holt & Co, New York
Janzen G, Turennout MV (2004) Selective neural representation of objects relevant for navigation. Nat Neurosci 7(6):673–677PubMedCrossRef
Jensen FV (2001) Bayesian networks and decision graphs. Springer, New York
Kersten D (2002) Object perception: generative image models and bayesian inference. In: Bülthoff HH et al (eds) Biologically motivated computer vision second international workshop Lecture Notes in Computer Science, vol 2525. Springer, Heidelberg, pp 207–218
Kersten D, Mamassian P, Yuille A (2004) Object Perception as Bayesian inference. Annu Rev Psychol 55:271–304PubMedCrossRef
Kersten D, Yuille A (2003) Bayesian models of object perception. Curr Opin Neurobiol 13(2):150–158PubMedCrossRef
Klippel A (2004) Wayfinding choremes—conceptualizing wayfinding and route direction elements. KI 18(1):63–64
Klippel A, Richter K-F, Hansen S (2005) Wayfinding choreme maps. In: Bres S, Laurini R (eds) Visual information and information systems, 8th international conference, VISUAL 2005. Springer, Amsterdam, pp 94–108
Klippel A, Winter S (2005) Structural salience of landmarks for route directions. In: Cohn AG, Mark DM (eds) Spatial information theory—COSIT05. Springer, Ellicottville, pp 347–362CrossRef
Koch C, Ullman S (1985) Shifts in selective visual-attention—towards the underlying neural circuitry. Human Neurobiol 4(4):219–227
Kosmopoulos DI, Chandrinos KV (2002) Definition and extraction of visual landmarks for indoor robot. Methods and applications of artificial intelligence: second hellenic conference on AI, SETN 2002. Springer, Heidelberg, pp 401–412
Kosslyn SM (1989) Understanding Charts and Graphs. Appl Cogn Psychol 3:185–226CrossRef
Kubovy M, Cohen DJ, Hollier J (1999) Feature integration that routinely occurs without focal attention. Psychon Bull Rev 6(2):183–203PubMed
Kuipers BJ (1982) The “Map in the Head’’ Metaphor. Environ Behav 14(2):202–220CrossRef
Lacroix JPW, Murre JMJ, Postma EO, van den Herik HJ (2006) Modeling recognition memory using the similarity structue of natural input. J Cogn Sci Soc 30(1):121–145
Lee PU, Tappe H, Klippel A (2002) Acquisition of landmark knowledge from static and dynamic presentation of route maps. In: Gray W, Schunn C (eds) Twenty-fourth annual conference of the cognitive science society
Lee Y-C, Lee JD et al (2007) Visual attention in driving: the effects of cognitive load and visual disruption. Hum Factors 49(4):721–733(13)PubMedCrossRef
Lewis D (1973) Causality. J Philos 556–567
Lovelace KL, Hegarty M, Montello DR (1999) Elements of good route directions in familiar and unfamiliar environments. In: Freksa C, Mark DM (eds) Spatial information theory: cognitive and computational foundations of geographic information science, international conference COSIT ‘99. Springer, Stade, pp 65–82CrossRef
Lynch K (1960) The image of the city. MIT, Boston
Marcel A, Dobel C (2005) Structured perceptual input imposes an egocentric frame of reference—pointing, imagery, and spatial self-consciousness. Perception 34(5):429–451PubMedCrossRef
May AJ, Ross T, Bayer SH (2003a) Drivers’ information requirements when navigating in an urban environment. J Navig 56(1):89–100CrossRef
May AJ, Ross T, Bayer SH, Tarkiainen MJ (2003b) Pedestrian navigation aids: information requirements and design principles. Personal Ubiquitous Comput 7(6):331–338CrossRef
Miller GA (1956) The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychol Rev 63:81–97PubMedCrossRef
Montello DR (1997) The perception and cognition of environmental distance: direct sources of information. In: Hirtle SC, Frank AU (eds) Conference on spatial information theory: a theoretical basis for GIS, COSIT’97. Springer, Laurel Highlands, pp 297–312CrossRef
Montello DR (2003) Navigation. In: Shah P, Miyake A (eds) Handbook of visuospatial cognition. Cambridge University Press, Cambridge, pp 257–294
Montello DR, Freundschuh S (2005) Cognition of geographic information. In: Mcmaster RB, Usery EL (eds) A research agenda for geographic information science. CRC Press, Boca Raton
Moulin B, Kettani D (1999) Route generation and description using the notion of object’s influence area and spatial conceptual map. Spatial Cogn Comput 1(3):227–259CrossRef
Müller NG, Kleinschmid A (2003) Dynamic interaction of object- and space-based attention in retinotopic visual areas. J Neurosci 23:9812–9816PubMed
Newell A, Simon HA (1972) Human problem-solving. Prentice Hall, Englewood Cliffs
Newman EL, Caplan JB, Kirschen MP, Korolev IO, Sekuler R, Kahana MJ (2007) Learning your way around town: how virtual taxicab drivers learn to use both layout and landmark information. Cognition (in press)
Nothegger C (2003) Automatic selection of landmarks. Institute for geoinformation. Technical University of Vienna
Nothegger C, Winter S, Raubal M (2004) Computation of the salience of features. Spat Cogn Comput 4:113–136CrossRef
Olshausen BA, Anderson CH, Vanessen DC (1992) Computer-simulation of a dynamic routing model of visual-attention. Invest Ophthalmol Vis Sci 33:1263–1263
Parkhurst DJ, Niebur E (2003) Scene content selected by active vision. Spat Vis 16(2):125–154PubMedCrossRef
Posner MI (1998) Foundations of cognitive science. MIT, New York
Presson CC, Montello DR (1988) Points of reference in spatial cognition—stalking the elusive landmark. Br J Dev Psychol 6(4):378–381
Raubal M, Winter S (2002) Enriching wayfinding instructions with local landmarks. In: Egenhofer MJ, Mark DM (eds) Geographic information science. Springer, Berlin, pp 243–259CrossRef
Roge J, Pebayle T et al (2005) Useful visual field reduction as a function of age and risk of accident in simulated car driving. Invest Ophthalmol Vis Sci 46:1774–1779PubMedCrossRef
Ruz M, Lupianez J (2002) A review of attentional capture: on its automaticity and sensitivity to endogenous control. Psicologica 23(1):283–309
Rüetschi U-J, Caduff D, Schulz F, Wolff A, Timpf S (2006) Routing by landmarks. STRC’06—sixth Swiss transport research conference. Monte Verita, Switzerland, ETH, CD-ROM
Schneider W, Shiffrin RM (1977) Controlled and automatic human information-processing.1. Detection, search, and attention. Psychol Rev 84:1–66CrossRef
Scholl BJ, Tremoulet PD (2000) Perceptual causality and animacy. Trends Cogn Sci 4(8):299–309PubMedCrossRef
Serences JT, Schwarzbach J, Courtney SM, Golay X, Yantis S (2004) Control of object-based attention in human cortex. Cereb Cortex 14(12):1346–1357PubMedCrossRef
Shannon CE (1948) A mathematical theory of communication. Bell Syst Tech J 27:379–423, 623–656
Shiffrin RM, Schneider W (1977) Controlled and automatic human information-processing.2. Perceptual learning, automatic attending, and a general theory. Psychol Rev 84:127–190CrossRef
Shinoda H, Hayhoe MM, Shrivastava A (2001) What controls attention in natural environments? Vis Res 41:3535–3545PubMedCrossRef
Siegel AW, White SH (1975) The development of spatial representations of large-scale environments. In: Reese HW (ed) Advances in child development and behavior. Academic, London, pp 9–55
Silva MM, Groeger JA, Bradshaw MF (2006) Attention-memory interactions in scene perception. Spat Vis 19(1):9–19PubMedCrossRef
Sorrows ME, Hirtle SC (1999) The nature of landmarks for real and electronic spaces. In: Freksa C, Mark DM (eds) Spatial information theory: cognitive and computational foundations of geographic information science, international conference COSIT ‘99. Springer, Stade, pp, 37–50
Soto D, Blanco MJ (2004) Spatial attention and object-based attention: a comparison within a single task. Vis Res 44(1):69–81PubMedCrossRef
Spelke ES (1990) Principles of object perception. Cogn Sci 14(1):29–56CrossRef
Staal MA (2004) Stress, cognition, and human performance: a literature review and conceptual framework. Moffett Field, California 94035, National Aeronautics and Space Administration, Ames Research Center
Steck SD, Mochnatzki HF, Mallot HA (2003) The role of geographic slant in virtual environment navigation. In: Freksa C, Brauer W, Habel C, Wender KF (eds) Spatial Cognition III, LNAI 2685, Springer, Heidelberg, pp 62–76CrossRef
Stevens Q (2006) The shape of urban experience: a reevaluation of Lynch’s five elements. Environ Plann B Plann Des 33(6):803–823CrossRef
Sweller J (1988) Cognitive load during problem solving: effects on learning. Cogn Sci 12(1):257–285CrossRef
Tezuka T, Tanaka K (2005) Landmark extraction: a web mining approach. In: Mark DM (ed) Spatial information theory—COSIT05. Springer, Ellicottville, pp 379–398CrossRef
Tom A, Denis M (2004) Language and spatial cognition: comparing the roles of landmarks and street names in route instructions. Appl Cogn Psychol 18(9):1213–1230CrossRef
Trahanias PE, Velissaris S, Orphanoudakis SC (1999) Visual recognition of workspace landmarks for topological navigation. Auton Robots 7(2):143–158CrossRef
Treisman A, Gormican S (1988) Feature analysis in early vision: evidence from search asymmetries. Psychol Rev 95(1):15–48PubMedCrossRef
Treisman A, Vieira A, Hayes A (1992) Automaticity and preattentive processing. Am J Psychol 105(2):341–362PubMedCrossRef
Treisman AM, Gelade G (1980) Feature-integration theory of attention. Cogn Psychol 12(1):97–136CrossRef
Turatto M, Mazza V, Umilta` C (2005) Crossmodal object-based attention: auditory objects affect visual processing. Cognition 96:B55–B64PubMedCrossRef
Tversky B (1993) Cognitive maps, cognitive collages, and spatial mental models. In: Frank AU, Campari I (eds) Conference on spatial information theory: COSIT’93. Elba Island, Italy, Springer, Berlin, pp 14–24
Weissensteiner E, Winter S (2004) Landmarks in the Communication of route directions. In: Egenhofer MJ, Miller H, Freksa C (eds) Geographic information science 2004. Lecture Notes in Computer Science, vol 3234. Springer, Berlin, pp 313–326
Werner S, Krieg-Brückner B, Mallot HA, Schweizer K, Freksa C (1997) Spatial cognition: the role of landmark, route, and survey knowledge in human and robot navigation. In: Jarke M, Pasedach K, Pohl K (eds) Informatik aktuell, Springer, Berlin, pp 41–50
Williams LJ (1988) Tunnel vision or general interference? cognitive load and attentional bias are both important. Am J Psychol 101(2):171–191PubMedCrossRef
Winter S (2003) Route adaptive selection of salient features. In: Kuhn W, Worboys M, Timpf S (eds) COSIT’03—spatial information theory: foundations of geographic information science. Springer, Heidelberg, pp 320–334
Winter S, Raubal M, Nothegger C (2004) Focalizing measures of salience for route directions. In: Meng L, Zipf A, Reichenbacher T (eds) Map-based mobile services—theories, methods and design implementations. Springer Geosciences, Berlin, pp 127–142
Wolfe JM (1994) Guided Search 2.0—a revised model of visual-search. Psychon Bull Rev 1(2):202–238
Wood S, Cox R, Cheng P (2006) Attention design: eight issues to consider. Comput Hum Behav 22(4):588–602CrossRef
Xu YX (2006) Understanding the object benefit in visual short-term memory: the roles of feature proximity and connectedness. Percept Psychophys 68(5):815–828PubMed
Metadaten
Titel
On the assessment of landmark salience for human navigation
verfasst von
David Caduff
Sabine Timpf
Publikationsdatum
01.11.2008
Verlag
Springer-Verlag
Erschienen in
Cognitive Processing / Ausgabe 4/2008
Print ISSN: 1612-4782
Elektronische ISSN: 1612-4790
DOI
https://doi.org/10.1007/s10339-007-0199-2

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