User:Marco Chemello (WMIT)/sandbox12

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Navigation

Further information: Animal navigation

Navigation is the ability of animals including humans to locate, track, and follow paths to arrive at a desired destination.[1][2]

Navigation requires information about the environment to be acquired from the body and landmarks of the environment as frames of reference to create a mental representation of the environment, forming a cognitive map. Humans navigate by transitioning between different spaces and coordinating both egocentric and allocentric frames of reference.[citation needed]

Navigation has two major components: locomotion and wayfinding.[3] Locomotion is the process of movement from one place to another, in animals including humans. Locomotion helps you understand an environment by moving through a space in order to create a mental representation of it.[4] Wayfinding is defined as an active process of following or deciding upon a path between one place to another through mental representations.[5] It involves processes such as representation, planning and decision which help to avoid obstacles, to stay on course or to regulate pace when approaching particular objects.[3][6]

Navigation and wayfinding can be approached in the environmental space. According to Dan Montello's space classification, there are four levels of space with the third being environmental. The environmental space represents a very large space, like a city, and can only be fully explored through movement since all objects and space are not directly visible.[7] Also Barbara Tversky systematized the space, but this time taking into consideration the three dimensions that correspond to the axes of the human body and its extensions: above/below, front/back and left/right. Tversky ultimately proposed a fourfold classification of navigable space: space of the body, space around the body, space of navigation and space of graphics.[8]

Human navigation

In human navigation people visualize different routes in their minds to plan how to get from one place to another. The things which they rely on to plan these routes vary from person to person and are the basis of differing navigational strategies.

Some people use measures of distance and absolute directional terms (north, south, east, and west) in order to visualize the best pathway from point to point. The use of these more general, external cues as directions is considered part of an allocentric navigation strategy. Allocentric navigation is typically seen in males and is beneficial primarily in large and/or unfamiliar environments.[9] This likely has some basis in evolution when males would have to navigate through large and unfamiliar environments while hunting.[10] The use of allocentric strategies when navigating primarily activates the hippocampus and parahippocampus in the brain. This navigation strategy relies more on a mental, spatial map than visible cues, giving it an advantage in unknown areas but a flexibility to be used in smaller environments as well. The fact that it is mainly males that favor this strategy is likely related to the generalization that males are better navigators than females as it is better able to be applied in a greater variety of settings.[9]

Egocentric navigation relies on more local landmarks and personal directions (left/right) to navigate and visualize a pathway. This reliance on more local and well-known stimuli for finding their way makes it difficult to apply in new locations, but is instead most effective in smaller, familiar environments.[9] Evolutionarily, egocentric navigation likely comes from our ancestors who would forage for their food and need to be able to return to the same places daily to find edible plants. This foraging usually occurred in relatively nearby areas and was most commonly done by the females in hunter-gatherer societies.[10] Females, today, are typically better at knowing where various landmarks are and often rely on them when giving directions. Egocentric navigation causes high levels of activation in the right parietal lobe and prefrontal regions of the brain that are involved in visuospatial processing.[9]

Franz and Mallot proposed a navigation hierarchy in Robotics and Autonomous Systems 30 (2006):[11]

Behavioural prerequisite Navigation competence
Local navigation
Search Goal recognition Finding the goal without active goal orientation
Direction-following Align course with local direction Finding the goal from one direction
Aiming Keep goal in front Finding a salient goal from a catchment area
Guidance Attain spatial relation to the surrounding objects Finding a goal defined by its relation to the surroundings
Way-finding
Recognition-triggered response Association sensory pattern-action Following fixed routes
Topological navigation Route integration, route planning Flexible concatenation of route segments
Survey navigation Embedding into a common reference frame Finding paths over novel terrain

Wayfinding taxonomy

There are two types of human wayfinding: aided and unaided.[7] Aided wayfinding requires a person to use various types of media, such as maps, GPS, directional signage, etc., in their navigation process which generally involves low spatial reasoning and is less cognitively demanding.

Unaided wayfinding involves no such devices for the person who is navigating.[7] Unaided wayfinding can be subdivided into a taxonomy of tasks depending on whether it is undirected or directed, which basically makes the distinction of whether there is a precise destination or not: undirected wayfinding means that a person is simply exploring an environment for pleasure without any set destination.[12]

Directed wayfinding, instead, can be further subdivided into search vs. target approximation.[12] Search means that a person does not know where the destination is located and must find it either in an unfamiliar environment, which is labeled as an uninformed search, or in a familiar environment, labeled as an informed search.[citation needed]

In target approximation, on the other hand, the location of the destination is known to the navigator but a further distinction is made based on whether the navigator knows how to arrive or not to the destination. Path following means that the environment, the path, and the destination are all known which means that the navigator simply follows the path they already know and arrive at the destination without much thought. For example, when you are in your city and walking on the same path as you normally take from your house to your job or university.[12]

However, path finding means that the navigator knows where the destination is but does not know the route they have to take to arrive at the destination: you know where a specific store is but you do not know how to arrive there or what path to take. If the navigator does not know the environment, it is called path search which means that only the destination is known while neither the path nor the environment is: you are in a new city and need to arrive at the train station but do not know how to get there.[12]

Path planning, on the other hand, means that the navigator knows both where the destination is and is familiar with the environment so they only need to plan the route or path that they should take to arrive at their target. For example, if you are in your city and need to get to a specific store that you know the destination of but do not know the specific path you need to take to get there.[12]

Individual differences in navigation and wayfinding

Navigation and wayfinding may differ between people by gender, age, and other attributes. In the spatial cognition domain, such factors can be:

  • Visuospatial abilities. i.e. the generation, retaining, and transformation of abstract visual images.[13] Visuospatial abilities can be distinguished in sub-factors as spatial perception, spatial visualisation, and mental rotation and measured with specific tasks.[14]
  • Spatial-related inclinations: i.e., the preferences self-reported (using questionnaires) related to spatial and environment information and settings such as spatial anxiety, sense of direction (personal evaluation of one’s ability to orient and locate oneself within an environment), survey and route preference (also called orientation and route strategies; people’s preferred way to represent the environment in map-like or person point of view, pleasure of exploring (individuals who enjoy exploration) and spatial self-efficacy (the belief to be able to accomplish a spatial task).[15][16][17][18]

Evidence

Experimental, correlational and case study approaches are used to find patterns in individual differences. Correlations approach is based on a modality to understand individual differences in navigation and wayfinding abilities to compare groups or examining the relation between variables at the continuous level. Experimental approach examines the causality of the relationship between variables. It manipulates one variable (independent variable) and investigates the impact on environment recall (dependent variable). Case studies approach is used to understand to what extent a particular profile is related to spatial representation and associated features such as, cases of brain lesions or degenerative diseases (involving brain structures and network of cognitive map) or cases of cognitive and behavioural difficulties in acquiring environment information in absence of brain deficits (as in the case of developmental topographical disorientation).[19]

Gender differences

Gender is a source of individual differences in navigation and wayfinding. Men show more confidence during navigation in comparison to women and in the final environment representation accuracy even the gender difference can be attenuated by some factors (as outcome variables, feedback, familiarity).[20][21]

Females experience higher levels of spatial anxiety than men.[15] Further two different wayfinding strategies are used by men and women: women prefer to use route strategy more, whilst men use survey (orientation) strategy more.[15] Route strategy is related to following directional instructions, whilst survey (orientation) strategy is the use of references in the environment in relation to their position.

Examining relations at the continuous level, gender is a predictor that can influence navigation success - both males and females can perform successfully. However, the ability to form mental representations of new environments after navigation is impacted by different patterns of relations involving strategy, beliefs/self-efficacy and visuospatial cognitive abilities. Therefore, both males and females involve the use of visuospatial individual factors, abilities and inclinations, that with different patterns of relations influence navigation and wayfinding performance.[18]

Age differences

The ability to learn the environment and navigate increases with age. Age group comparison studies show that children become able earlier to acquire and to manage egocentric knowledge (as to repeat a path) and later (at least most of evidence) show allocentric knowledge (as expressed by finding shortest paths) even these abilities can be subject to individual differences also in children. In older adults abilities in spatial domain decrease showing a decrease of spatial learning and representation abilities, even the differences between young and older adults are related to type of tasks. In fact older adults are more sensible to decline in allocentric knowledge with respect to the younger ones.[22] Visuo-spatial abilities (as visuospatial working memory and rotation) decline in ageing and attitudes tend to be maintained quite stable; both abilities and attitudes, however, in different extent contribute to maintain the spatial learning and navigation accuracy in elderly.

  1. ^ "Focus on spatial cognition". Nature Neuroscience. 20 (11): 1431. November 2017. doi:10.1038/nn.4666. ISSN 1546-1726. PMID 29073640. S2CID 205441391.
  2. ^ Wolbers, Thomas; Hegarty, Mary (March 2010). "What determines our navigational abilities?". Trends in Cognitive Sciences. 14 (3): 138–146. doi:10.1016/j.tics.2010.01.001. PMID 20138795. S2CID 15142890.
  3. ^ a b Montello, Daniel R. (2005-07-18), Shah, Priti; Miyake, Akira (eds.), "Navigation", The Cambridge Handbook of Visuospatial Thinking (1 ed.), Cambridge University Press, pp. 257–294, doi:10.1017/cbo9780511610448.008, ISBN 978-0-511-61044-8, retrieved 2022-05-06
  4. ^ "APA Dictionary of Psychology/Locomotion". dictionary.apa.org. Retrieved 2022-05-06.
  5. ^ GOLLEDGE, Reginald G. (December 2000). "Cognitive Maps, Spatial Abilities, and Human Wayfinding" (PDF). Geographical Review of Japan. 73: 93–104.
  6. ^ Tolman, Edward C. (1948). "Cognitive maps in rats and men". Psychological Review. 55 (4): 189–208. doi:10.1037/h0061626. ISSN 1939-1471. PMID 18870876.
  7. ^ a b c Denis, Michel (2017-11-13). Space and Spatial Cognition: A Multidisciplinary Perspective (1 ed.). Routledge. doi:10.4324/9781315103808. ISBN 978-1-315-10380-8.
  8. ^ Tversky, Barbara (January 2003). "Structures Of Mental Spaces: How People Think About Space". Environment and Behavior. 35 (1): 66–80. doi:10.1177/0013916502238865. ISSN 0013-9165. S2CID 16647328.
  9. ^ a b c d Andreano & Cahill (2009)
  10. ^ a b Geary (1998)
  11. ^ Franz, Matthias O.; Mallot, Hanspeter A. (2000). "Biomimetic robot navigation". Robotics and Autonomous Systems. 30 (1–2): 133–153. doi:10.1016/S0921-8890(99)00069-X.
  12. ^ a b c d e Wiener, Jan M.; Büchner, Simon J.; Hölscher, Christoph (2009-05-20). "Taxonomy of Human Wayfinding Tasks: A Knowledge-Based Approach". Spatial Cognition & Computation. 9 (2): 152–165. doi:10.1080/13875860902906496. ISSN 1387-5868. S2CID 16529538.
  13. ^ "APA PsycNet". psycnet.apa.org. Retrieved 2022-05-09.
  14. ^ Linn, Marcia C.; Petersen, Anne C. (1985). "Emergence and Characterization of Sex Differences in Spatial Ability: A Meta-Analysis". Child Development. 56 (6): 1479–1498. doi:10.2307/1130467. ISSN 0009-3920. JSTOR 1130467. PMID 4075870.
  15. ^ a b c Lawton, Carol A. (1994-06-01). "Gender differences in way-finding strategies: Relationship to spatial ability and spatial anxiety". Sex Roles. 30 (11): 765–779. doi:10.1007/BF01544230. ISSN 1573-2762. S2CID 144558948.
  16. ^ Pazzaglia, Francesca; De Beni, Rossana (2001-10-01). "Strategies of processing spatial information in survey and landmark-centred individuals". European Journal of Cognitive Psychology. 13 (4): 493–508. doi:10.1080/09541440125778. ISSN 0954-1446. S2CID 145352387.
  17. ^ Meneghetti, Chiara; Borella, Erika; Pastore, Massimiliano; De Beni, Rossana (2014-10-01). "The role of spatial abilities and self-assessments in cardinal point orientation across the lifespan". Learning and Individual Differences. 35: 113–121. doi:10.1016/j.lindif.2014.07.006. ISSN 1041-6080.
  18. ^ a b Miola, Laura; Meneghetti, Chiara; Toffalini, Enrico; Pazzaglia, Francesca (2021-12-01). "Environmental learning in a virtual environment: Do gender, spatial self-efficacy, and visuospatial abilities matter?". Journal of Environmental Psychology. 78: 101704. doi:10.1016/j.jenvp.2021.101704. ISSN 0272-4944. S2CID 242905440.
  19. ^ Meneghetti, Chiara; Miola, Laura; Toffalini, Enrico; Pastore, Massimiliano; Pazzaglia, Francesca (2021-06-01). "Learning from navigation, and tasks assessing its accuracy: The role of visuospatial abilities and wayfinding inclinations". Journal of Environmental Psychology. 75: 101614. doi:10.1016/j.jenvp.2021.101614. ISSN 0272-4944. S2CID 234858728.
  20. ^ Munion, Ascher K.; Stefanucci, Jeanine K.; Rovira, Ericka; Squire, Peter; Hendricks, Michael (2019-12-01). "Gender differences in spatial navigation: Characterizing wayfinding behaviors". Psychonomic Bulletin & Review. 26 (6): 1933–1940. doi:10.3758/s13423-019-01659-w. ISSN 1531-5320. PMID 31432331. S2CID 201115789.
  21. ^ Nazareth, Alina; Huang, Xing; Voyer, Daniel; Newcombe, Nora (2019-10-01). "A meta-analysis of sex differences in human navigation skills". Psychonomic Bulletin & Review. 26 (5): 1503–1528. doi:10.3758/s13423-019-01633-6. ISSN 1531-5320. PMID 31270765. S2CID 195798584.
  22. ^ Gazova, Ivana; Laczó, Jan; Rubinova, Eva; Mokrisova, Ivana; Hyncicova, Eva; Andel, Ross; Vyhnalek, Martin; Sheardova, Katerina; Coulson, Elizabeth; Hort, Jakub (2013). "Spatial navigation in young versus older adults". Frontiers in Aging Neuroscience. 5: 94. doi:10.3389/fnagi.2013.00094. ISSN 1663-4365. PMC 3867661. PMID 24391585.

Further readings

  • A, B (2023). title. publicher.
  • Chemello, Marco (2023). Blah blah. Unipd.
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