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Navigation in a complex indoor environment can be difficult, and pedestrians may find themselves disoriented. As the featured objects of an environment, indoor landmarks play an important role in navigation. A review of the existing literature in outdoor landmark evaluation methods, however, shows that they cannot be fully applicable in any indoor environment. In this paper, an instance-based scoring system is proposed for analyzing the indicators that influence the salience of spatial objects from visual, semantic and structural aspects. An Analytic Hierarchy Process was applied to calculate landmark weights using these indicators. Two types of indoor scenes were employed as instances to verify the validity of this method, the Dongchenghui shopping mall (Nanjing, China) using a subjective questionnaire and interview method, and the headquarters of Masaryk University (Brno, Czechia) using an objective eyetracking method. Be result of the two instances showed that the proposed method was feasible.

In accordance with the development of theoretical aspects of cartographic visualization and methods of uncertainty propagation in models, the generally accepted opinion argues that uncertainty has to be presented to users in an unambiguous and understandable way. Studies published in psychological literature prove that users react to presented information differently depending on the presentation method, the specific task and its context. The presented paper describes the process of test development for selected methods of cartographic visualization of positional uncertainty, the utilization of multivariate testing software tool for test processing, and its consequent evaluation. Results of testing are further discussed in comparison with similar studies which have been published.