A multidimensional model for selecting personalised landmarks

IF 1.2 Q4 TELECOMMUNICATIONS
Eva Nuhn, S. Timpf
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引用次数: 20

Abstract

Abstract Route instructions for pedestrians usually include many references to landmarks. The specific landmark used depends on the perceived familiarity of the traveller with the environment. While a human informant is able to perceive this personal dimension and react accordingly, existing landmark selection algorithms neglect the individual spatial knowledge of a wayfinder. In this paper, we share our ideas for incorporating a personal dimension into the definition of landmark salience. This complements current models, which identify landmark salience based on attributes of landmarks or integrate route-dependent landmarks based on environmental factors. We propose a conceptual framework for a multidimensional model for personalised landmarks that integrates three dimensions: a dimension describing the landmark, an environmental dimension and a personal dimension, which has been lacking in existing landmark salience models. We identify and discuss attributes and attribute values for each of the dimensions. Furthermore, salience measures for the attributes of the individual dimensions are developed. The novelty of this research consists of integrating all known attributes and potential values within a single model of salience, while focusing on the personal dimension.
用于选择个性化地标的多维模型
摘要行人路线指示通常包括许多对地标的参考。使用的具体地标取决于旅行者对环境的熟悉程度。虽然人类线人能够感知这种个人维度并做出相应反应,但现有的地标选择算法忽略了寻路者的个人空间知识。在本文中,我们分享了将个人维度纳入地标显著性定义的想法。这补充了当前的模型,这些模型基于地标的属性来识别地标的显著性,或者基于环境因素来整合依赖于路线的地标。我们提出了一个个性化地标多维模型的概念框架,该模型集成了三个维度:描述地标的维度、环境维度和个人维度,这在现有的地标显著性模型中是缺乏的。我们确定并讨论每个维度的属性和属性值。此外,还开发了个体维度属性的显著性度量。这项研究的新颖之处在于将所有已知的属性和潜在价值整合在一个单一的显著性模型中,同时关注个人维度。
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来源期刊
CiteScore
3.70
自引率
8.70%
发文量
12
期刊介绍: The aim of this interdisciplinary and international journal is to provide a forum for the exchange of original ideas, techniques, designs and experiences in the rapidly growing field of location based services on networked mobile devices. It is intended to interest those who design, implement and deliver location based services in a wide range of contexts. Published research will span the field from location based computing and next-generation interfaces through telecom location architectures to business models and the social implications of this technology. The diversity of content echoes the extended nature of the chain of players required to make location based services a reality.
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