On the assessment of landmark salience for human navigation

被引:197
作者
Caduff, David [1 ]
Timpf, Sabine [2 ]
机构
[1] Univ Zurich Irchel, Dept Geog, CH-8057 Zurich, Switzerland
[2] Univ Wurzburg, Dept Comp Sci 6, D-97074 Wurzburg, Germany
关键词
Navigation; Landmark; Salience; Attention; Information processing;
D O I
10.1007/s10339-007-0199-2
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
In this paper, we propose a conceptual framework for assessing the salience of landmarks for navigation. Landmark salience is derived as a result of the observer's point of view, both physical and cognitive, the surrounding environment, and the objects contained therein. This is in contrast to the currently held view that salience is an inherent property of some spatial feature. Salience, in our approach, is expressed as a three-valued Saliency Vector. The components that determine this vector are Perceptual Salience, which defines the exogenous ( or passive) potential of an object or region for acquisition of visual attention, Cognitive Salience, which is an endogenous ( or active) mode of orienting attention, triggered by informative cues providing advance information about the target location, and Contextual Salience, which is tightly coupled to modality and task to be performed. This separation between voluntary and involuntary direction of visual attention in dependence of the context allows defining a framework that accounts for the interaction between observer, environment, and landmark. We identify the low-level factors that contribute to each type of salience and suggest a probabilistic approach for their integration. Finally, we discuss the implications, consider restrictions, and explore the scope of the framework.
引用
收藏
页码:249 / 267
页数:19
相关论文
共 113 条
  • [1] Spatial memory and saccadic targeting in a natural task
    Aivar, MP
    Hayhoe, MM
    Chizk, CL
    Mruczek, REB
    [J]. JOURNAL OF VISION, 2005, 5 (03): : 177 - 193
  • [2] Allen GL, 1997, LECT NOTES COMPUT SC, V1329, P363, DOI 10.1007/3-540-63623-4_61
  • [3] Embodied cognition: A field guide
    Anderson, ML
    [J]. ARTIFICIAL INTELLIGENCE, 2003, 149 (01) : 91 - 130
  • [4] WHY BUILDINGS ARE KNOWN - PREDICTIVE TOOL FOR ARCHITECTS AND PLANNERS
    APPLEYARD, D
    [J]. ENVIRONMENT AND BEHAVIOR, 1969, 1 (02) : 131 - 156
  • [5] BALL K, 1993, INVEST OPHTH VIS SCI, V34, P3110
  • [6] PERCEIVING REAL-WORLD SCENES
    BIEDERMA.I
    [J]. SCIENCE, 1972, 177 (4043) : 77 - &
  • [7] 'Turn right at the traffic lights': The requirement for landmarks in vehicle navigation systems
    Burnett, G
    [J]. JOURNAL OF NAVIGATION, 2000, 53 (03) : 499 - 510
  • [8] A multiagent approach to qualitative landmark-based navigation
    Busquets, D
    Sierra, C
    De Màntaras, RL
    [J]. AUTONOMOUS ROBOTS, 2003, 15 (02) : 129 - 154
  • [9] BUSQUETS D, 2002, J MULTIVALUED LOG SO, V9, P195
  • [10] CADUFF D, 2005, STRC 05 5 SWISS TRAN