Ruhr University Bochum, Geography Department, Cartography, Bochum, Germany.
International Psychoanalytic University, Methodology and Evaluation, Berlin, Germany.
Appl Ergon. 2019 Feb;75:214-220. doi: 10.1016/j.apergo.2018.10.008. Epub 2018 Nov 9.
Landmarks, objects in the environment used for orientation, navigation and the formation of cognitive maps are often represented in maps as pictograms. In order to support these tasks effectively and efficiently, landmark pictograms also need to be salient, as the map user needs to identify and process them quickly and easily. Two additional relevant characteristics for the usability of landmark pictograms are their meaningfulness and recognition performance. Meaningfulness is required to understand which categories of objects are represented by the pictograms. Ease of recognition prevents the necessity to consult a map repetitively and may support the formation of a cognitive map of the environment. In the present study, we investigated the relation between salience, meaningfulness and recognition performance of OpenStreetMap (OSM) pictograms and the potential effects of the visual complexity of pictograms on these usability characteristics. Salience was measured via eye fixations on specific pictograms, meaningfulness with an explicit continuous scale and recognition performance with a yes/no recognition memory paradigm. Statistical analyses showed that pictograms drew more visual attention if they were visually complex or if their meaning was inapprehensible or ambiguous. Less apprehensible pictograms were also recognized more often. Interestingly, the data indicated that longer fixations could lead to worse recognition performance. Long fixations on a pictogram may increase the likelihood of false recognition in subsequent situations where the pictogram is no longer valid or relevant. Based on the findings, we suggest balancing the meaningfulness and visual complexity of contiguous pictograms to enhance their recognition and to provide an optimal level of salience of single objects.
地标,即用于定向、导航和形成认知地图的环境中的物体,通常在地图中以象形图的形式表示。为了有效地支持这些任务,地标象形图也需要具有显著性,因为地图用户需要快速、轻松地识别和处理它们。地标象形图的另外两个与可用性相关的特征是其有意义性和识别性能。有意义性是理解象形图所代表的对象类别所必需的。易于识别可以防止用户需要重复查阅地图,并可能支持环境认知地图的形成。在本研究中,我们调查了 OpenStreetMap (OSM) 象形图的显著性、有意义性和识别性能之间的关系,以及象形图的视觉复杂性对这些可用性特征的潜在影响。显著性是通过对特定象形图的眼动注视来测量的,有意义性是通过明确的连续量表来测量的,而识别性能是通过 yes/no 识别记忆范式来测量的。统计分析表明,如果象形图具有视觉复杂性,或者其含义难以理解或模棱两可,那么它们会吸引更多的视觉注意力。难以理解的象形图也更容易被识别。有趣的是,数据表明,较长的注视时间可能导致识别性能下降。对一个象形图的长时间注视可能会增加在后续情况下错误识别的可能性,因为在这些情况下,该象形图不再有效或相关。基于这些发现,我们建议平衡连续象形图的有意义性和视觉复杂性,以提高它们的识别能力,并提供单个对象的最佳显著性水平。