دورية أكاديمية
Finding landmarks - An investigation of viewing behavior during spatial navigation in VR using a graph-theoretical analysis approach.
| العنوان: | Finding landmarks - An investigation of viewing behavior during spatial navigation in VR using a graph-theoretical analysis approach. |
|---|---|
| المؤلفون: | Walter JL; Institute of Cognitive Science, University of Osnabrück, Osnabrück, Germany., Essmann L; Institute of Cognitive Science, University of Osnabrück, Osnabrück, Germany., König SU; Institute of Cognitive Science, University of Osnabrück, Osnabrück, Germany., König P; Institute of Cognitive Science, University of Osnabrück, Osnabrück, Germany.; Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. |
| المصدر: | PLoS computational biology [PLoS Comput Biol] 2022 Jun 06; Vol. 18 (6), pp. e1009485. Date of Electronic Publication: 2022 Jun 06 (Print Publication: 2022). |
| نوع المنشور: | Journal Article; Research Support, Non-U.S. Gov't |
| اللغة: | English |
| بيانات الدورية: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: San Francisco, CA : Public Library of Science, [2005]- |
| مواضيع طبية MeSH: | Spatial Navigation* , Virtual Reality*, Humans ; Knowledge ; Vision, Ocular |
| مستخلص: | Vision provides the most important sensory information for spatial navigation. Recent technical advances allow new options to conduct more naturalistic experiments in virtual reality (VR) while additionally gathering data of the viewing behavior with eye tracking investigations. Here, we propose a method that allows one to quantify characteristics of visual behavior by using graph-theoretical measures to abstract eye tracking data recorded in a 3D virtual urban environment. The analysis is based on eye tracking data of 20 participants, who freely explored the virtual city Seahaven for 90 minutes with an immersive VR headset with an inbuild eye tracker. To extract what participants looked at, we defined "gaze" events, from which we created gaze graphs. On these, we applied graph-theoretical measures to reveal the underlying structure of visual attention. Applying graph partitioning, we found that our virtual environment could be treated as one coherent city. To investigate the importance of houses in the city, we applied the node degree centrality measure. Our results revealed that 10 houses had a node degree that exceeded consistently two-sigma distance from the mean node degree of all other houses. The importance of these houses was supported by the hierarchy index, which showed a clear hierarchical structure of the gaze graphs. As these high node degree houses fulfilled several characteristics of landmarks, we named them "gaze-graph-defined landmarks". Applying the rich club coefficient, we found that these gaze-graph-defined landmarks were preferentially connected to each other and that participants spend the majority of their experiment time in areas where at least two of those houses were visible. Our findings do not only provide new experimental evidence for the development of spatial knowledge, but also establish a new methodology to identify and assess the function of landmarks in spatial navigation based on eye tracking data. Competing Interests: The authors have declared that no competing interests exist. |
| References: | Psychol Rev. 1998 Jan;105(1):125-57. (PMID: 9450374) Neurobiol Learn Mem. 2012 Jan;97(1):81-9. (PMID: 22001012) Perception. 2000;29(1):43-55. (PMID: 10820590) Psychol Rev. 2010 Apr;117(2):382-405. (PMID: 20438231) Behav Brain Res. 2002 Feb 1;129(1-2):159-70. (PMID: 11809507) J Neurosci. 2010 Sep 29;30(39):12897-901. (PMID: 20881108) J Neurosci. 2011 Nov 2;31(44):15775-86. (PMID: 22049421) Front Neurosci. 2019 Jun 06;13:585. (PMID: 31249501) Psychol Res. 2015 Nov;79(6):1000-8. (PMID: 25416007) J Intellect Disabil Res. 2016 Oct;60(10):933-44. (PMID: 27634746) J Eye Mov Res. 2019 Apr 05;12(1):. (PMID: 33828721) Hippocampus. 2015 Jun;25(6):731-5. (PMID: 25800632) Behav Neural Biol. 1994 May;61(3):260-70. (PMID: 8067981) Behav Brain Res. 2008 Nov 21;193(2):209-15. (PMID: 18602173) PeerJ. 2019 Jul 9;7:e7086. (PMID: 31328028) Adv Child Dev Behav. 1975;10:9-55. (PMID: 1101663) Cognition. 2007 Aug;104(2):231-53. (PMID: 16879816) Front Psychol. 2012 Aug 27;3:304. (PMID: 22969737) Psychon Bull Rev. 2012 Feb;19(1):1-23. (PMID: 22083627) Cognition. 2013 Oct;129(1):24-30. (PMID: 23820180) J Exp Psychol Learn Mem Cogn. 2005 Mar;31(2):195-215. (PMID: 15755239) J Neurosci. 2003 Jul 2;23(13):5945-52. (PMID: 12843299) Front Hum Neurosci. 2019 Jul 10;13:240. (PMID: 31354457) Neurobiol Learn Mem. 1996 Jan;65(1):65-72. (PMID: 8673408) Curr Opin Behav Sci. 2017 Oct;17:84-89. (PMID: 29130062) Psychol Rev. 1976 Jan;83(1):1-36. (PMID: 766038) Dialogues Clin Neurosci. 2018 Jun;20(2):111-121. (PMID: 30250388) Mem Cognit. 2007 Jul;35(5):910-24. (PMID: 17910176) Cogn Psychol. 2006 Mar;52(2):93-129. (PMID: 16375882) Neurosci Biobehav Rev. 2017 Sep;80:605-621. (PMID: 28760627) Sci Rep. 2018 Jul 18;8(1):10871. (PMID: 30022079) Cognition. 2008 Feb;106(2):750-69. (PMID: 17540353) |
| تواريخ الأحداث: | Date Created: 20220606 Date Completed: 20220620 Latest Revision: 20220716 |
| رمز التحديث: | 20231215 |
| مُعرف محوري في PubMed: | PMC9203010 |
| DOI: | 10.1371/journal.pcbi.1009485 |
| PMID: | 35666726 |
| قاعدة البيانات: | MEDLINE |
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