Abstract
The automatic generation of direction in natural language, for the location of objects, is an ongoing research area heavily supported by the use of virtual environments (VEs). Important components of spatial language such as the selected reference object, along with specific features related to the situation of the scenario and the user, have to be properly combined in order to create a helpful direction to locate an object within a VE. In this paper we present a scheme, constructed upon literature review and specific empirical data, to link those different elements related to the location of objects, aimed to establish the suitable algorithms for the automatic generation of spatial language in VEs.
Access provided by CONRICYT-eBooks. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Landau B, Jackendoff R: “What” and “Where” in Spatial Language and Spatial Cognition. Behavioral and Brain Sciences 1993, 16(217 - 265).
Pederson E, Danziger E, Wilkins D, Levinson S, Kita S, Senft G: Semantic Typology ans Spatial Conceptualization Linguistic Society of America JSTOR Language 1998, 74(3):557 - 589.
Barclay M: Reference Object Choice in Spatial Language: Machine and Human Models. University of Exeter. PhD. Thesis; 2010.
Kelleher JD: A Perceptually Based Computational Framework for the Interpretation of Spatial Language Dublin: Dublin City University. PhD. Thesis; 2003.
Gorniak P, Roy D: Grounded Semantic Composition for Visual Scenes. Journal of Artificial Intelligence Research 2004, 21:429 - 470.
Trinh T-H: A Constraint-based Approach to Modelling Spatial Semantics of Virtual Environments. Université de Bretagne Occidentale. PhD. Thesis; 2013.
Lara G, De Antonio A, Peña A: Computerized spatial language generation for object location. Springer Virtual Reality 2016:1 - 10.
Mou W, McNamara TP: Intrinsic Frames of Reference in Spatial Memory. The American Psychological Association Journal of Experimental Psychology: Learning, Memory, and Cognition 2002, 28(1):162 - 170.
Wraga M, Creem SH, Proffitt DR: The influence of spatial reference frames on imagined object and viewer rotations Elsevier Acta Psychologica 1998, 102:247 - 264.
Titchener EB: Lectures on the Elementary Psychology of Feeling and Attention. In. New York: The MacMillan Company; 1908.
Frintrop S, Rome E: Computational Visual Attention Systems and their Cognitive Foundations: A Survey. ACM Journal Name 2010, 7(1):1 - 46.
Vargas ML, Lahera G: “Asignación de relavancia”: Una propuesta para el término inglés “salience”. In: Actas Esp Psiquiatría. vol. 39. España; 2011: 271 - 272.
Lahera G, Freund N, Sáin-Ruíz J: Asignación de relevancia (salience) y desregulación del sistema dopaminérgico. Elsevier Doyma Revista de Psiquiatría y Salud Mental 2013, 6(1):45 - 51.
Hall D, Leibe B, Schile B: Saliency of Interest Points under Scale Changes. In: British Machine Vision Conference (BMVC’02). Cardiff, UK; 2002: 646 - 655.
Röser F, Krumnack A, Hamburger K: The influence of perceptual and structural salience. In: Cooperative Minds: Social Interaction and Group Dynamics In Proceedings of the 35th Annual Meeting of the Cognitive Science Society: 2013; Austin, TX. USA; 2013: 3315 - 3320.
Gapp K-P: Object Localization: Selection of Optimal Reference Objects. In. Fed. Rep. of Germany: Universität des Saarlandes 1995: 1-18.
Harrington DO, Drake MV: Los campos visuales: texto y atlas de perimetría clínica. In.: Ediciones Científicas y Técnicas; 1993.
Gapp K-P: Selection of Best Reference Objects in Objects Localizations. In: In Proceedings of the AAAI Spring Symposium on Cognitive and Comutational Models of Spatial Representations: 1996b; Stanford, CA.; 1996b: 23 - 34.
Lara G, Peña A, De Antonio A, Ramírez J, Imbert R: (in press) Comparative analysis of shape descriptors for 3D objects. Multimedia Tools Applications 2016a:1 - 48.
Lara G, De Antonio, Peña A: A computational model of perceptual saliency for 3D objects in virtual environments; 2016b (in review).
Kobsa A: Generic User Modeling Systems. Springer User Modeling and User-Adapted Intraction 2001, II:49 - 63.
Osterrieth PA: Le test de copie d’une figure complexe. Arch Psychol 1944, 30:206-356.
Gapp K-P: From vision to language: A cognitive approach to the computation of spatial relations in 3D space. In., Künstliche Intelligenz - Wissensbasierte Systeme. Bericht Nr. 110 edn. Fed. Rep. of Germany: Universität des Saarlandes; 1994: 1 - 19.
Gapp K-P: Angle, distance, shape, and their relationship to projective relations. In: In Proceedings of the 17th Annual Conference of the Cognitive Science Society: 1995a; Cognitive Science Society Mahwah, NJ.; 1995a: 112 - 117.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Lara, G., De Antonio, A., Peña, A., Muñoz, M., Casillas, L. (2017). Scheme for the automatic generation of directions to locate objects in virtual environments. In: Mejia, J., Muñoz, M., Rocha, Á., San Feliu, T., Peña, A. (eds) Trends and Applications in Software Engineering. CIMPS 2016. Advances in Intelligent Systems and Computing, vol 537. Springer, Cham. https://doi.org/10.1007/978-3-319-48523-2_12
Download citation
DOI: https://doi.org/10.1007/978-3-319-48523-2_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-48522-5
Online ISBN: 978-3-319-48523-2
eBook Packages: EngineeringEngineering (R0)