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What is the difference between augmented reality and 2D navigation electronic maps in pedestrian wayfinding? / Weihua Dong in Cartography and Geographic Information Science, vol 48 n° 3 (May 2021)
[article]
Titre : What is the difference between augmented reality and 2D navigation electronic maps in pedestrian wayfinding? Type de document : Article/Communication Auteurs : Weihua Dong, Auteur ; Yulin Wu, Auteur ; Tong Qin, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 225 - 240 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse comparative
[Termes IGN] analyse géovisuelle
[Termes IGN] carte électronique
[Termes IGN] cognition
[Termes IGN] itinéraire piétionnier
[Termes IGN] navigation pédestre
[Termes IGN] oculométrie
[Termes IGN] réalité augmentée
[Termes IGN] visualisation 2D
[Vedettes matières IGN] CartologieRésumé : (auteur) Augmented reality (AR) navigation aids have become widely used in pedestrian navigation, yet few studies have verified their usability from the perspective of human spatial cognition, such as visual attention, cognitive processing, and spatial memory. We conducted an empirical study in which smartphone-based AR aids were compared with a common two-dimensional (2D) electronic map. We conducted eye-tracking wayfinding experiments, in which 73 participants used either a 2D electronic map or AR navigation aids. We statistically compared participants’ wayfinding performance, visual attention, and route memory between two groups (AR and 2D map navigation aids). The results showed their wayfinding performance did not differ significantly. Regarding visual attention, the participants using AR tended to have significantly shorter fixation durations, greater saccade amplitudes, and smaller pupil sizes on average than the 2D map participants, which indicates lower average cognitive workloads throughout the wayfinding process. Considering attention on environmental objects, the participants using AR paid less visual attention to buildings but more to persons than the participants using 2D maps. Sketched routes results revealed that it was more difficult for AR participants to form a clear memory of the route. The aim of this study is to inspire more usability research on AR navigation. Numéro de notice : A2021-510 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2021.1871646 Date de publication en ligne : 02/02/2021 En ligne : https://doi.org/10.1080/15230406.2021.1871646 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97532
in Cartography and Geographic Information Science > vol 48 n° 3 (May 2021) . - pp 225 - 240[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-2021031 RAB Revue Centre de documentation En réserve L003 Disponible An experiment using the graphic variable color and the see color code on isarithmic maps accessible to blind and normally sighted people / Niédja Sodré de Araújo in Boletim de Ciências Geodésicas, vol 27 n° 1 ([01/03/2021])
[article]
Titre : An experiment using the graphic variable color and the see color code on isarithmic maps accessible to blind and normally sighted people Type de document : Article/Communication Auteurs : Niédja Sodré de Araújo, Auteur ; Fabricio Rosa Amorim, Auteur ; et al., Auteur Année de publication : 2021 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] carte tactile
[Termes IGN] cognition
[Termes IGN] couleur (rédaction cartographique)
[Termes IGN] personne malvoyante
[Termes IGN] variable visuelle
[Vedettes matières IGN] CartologieRésumé : (auteur) The See Color is a color coding system based on Braille writing to communicate colors to people with visual impairments. This study assessed the perception of the theme Temperature by blind people, by using the See Color code on two isarithmic tactile maps and the perception of subjects with normal color vision. An average temperature map of Australia had 10 classes, but these intervals were regrouped into four classes on Corel Draw software. The new map was duplicated in the digital project in A4 size, both included the See Color code in two color schemes obtained from the Color Brewer website. Subsequently, they were laser-printed on swell paper to produce the tactile relief. The chromatic perception was observed, as well as the thermal sensations that the colors could represent for blind participants (06), normally sighted participants in basic education (23), and normally sighted participants in higher education (20). In this research, the See Color code showed the potential to provide spatial knowledge as a graphic language through colors in color maps for adventitiously blind and for normally sighted participants based on their perception of colors and tactile color codes. Numéro de notice : A2021-502 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1590/s1982-21702021000100006 En ligne : https://doi.org/10.1590/s1982-21702021000100006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98097
in Boletim de Ciências Geodésicas > vol 27 n° 1 [01/03/2021][article]Graph convolutional autoencoder model for the shape coding and cognition of buildings in maps / Xiongfeng Yan in International journal of geographical information science IJGIS, vol 35 n° 3 (March 2021)
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Titre : Graph convolutional autoencoder model for the shape coding and cognition of buildings in maps Type de document : Article/Communication Auteurs : Xiongfeng Yan, Auteur ; Tinghua Ai, Auteur ; Min Yang, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 490 - 512 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] apprentissage non-dirigé
[Termes IGN] apprentissage profond
[Termes IGN] codage
[Termes IGN] données vectorielles
[Termes IGN] graphe
[Termes IGN] mesure géométrique
[Termes IGN] modélisation du bâti
[Termes IGN] représentation cognitive
[Termes IGN] représentation spatialeRésumé : (auteur) The shape of a geospatial object is an important characteristic and a significant factor in spatial cognition. Existing shape representation methods for vector-structured objects in the map space are mainly based on geometric and statistical measures. Considering that shape is complicated and cognitively related, this study develops a learning strategy to combine multiple features extracted from its boundary and obtain a reasonable shape representation. Taking building data as example, this study first models the shape of a building using a graph structure and extracts multiple features for each vertex based on the local and regional structures. A graph convolutional autoencoder (GCAE) model comprising graph convolution and autoencoder architecture is proposed to analyze the modeled graph and realize shape coding through unsupervised learning. Experiments show that the GCAE model can produce a cognitively compliant shape coding, with the ability to distinguish different shapes. It outperforms existing methods in terms of similarity measurements. Furthermore, the shape coding is experimentally proven to be effective in representing the local and global characteristics of building shape in application scenarios such as shape retrieval and matching. Numéro de notice : A2021-166 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2020.1768260 Date de publication en ligne : 25/05/2020 En ligne : https://doi.org/10.1080/13658816.2020.1768260 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97100
in International journal of geographical information science IJGIS > vol 35 n° 3 (March 2021) . - pp 490 - 512[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-2021031 SL Revue Centre de documentation Revues en salle Disponible Emotional habitat: mapping the global geographic distribution of human emotion with physical environmental factors using a species distribution model / Yizhuo Li in International journal of geographical information science IJGIS, vol 35 n° 2 (February 2021)
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Titre : Emotional habitat: mapping the global geographic distribution of human emotion with physical environmental factors using a species distribution model Type de document : Article/Communication Auteurs : Yizhuo Li, Auteur ; Teng Fei, Auteur ; Yingjing Huang, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 227 - 249 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique
[Termes IGN] comportement
[Termes IGN] détection de visage
[Termes IGN] distribution spatiale
[Termes IGN] données environnementales
[Termes IGN] émotion
[Termes IGN] entropie
[Termes IGN] psychologie
[Termes IGN] reconnaissance faciale
[Termes IGN] sciences humaines
[Termes IGN] visionRésumé : (auteur) Human emotion is an intrinsic psychological state that is influenced by human thoughts and behaviours. Human emotion distribution has been regarded as an important part of emotional geography research. However, it is difficult to form a global scaled map reflecting human emotions at the same sampling density because various emotional sampling data are usually positive occurrences without absence data. In this study, a methodological framework for mapping the global geographic distribution of human emotion is proposed and applied, combining a species distribution model with physical environment factors. State-of-the-art affective computing technology is used to extract human emotions from facial expressions in Flickr photos. Various human emotions are considered as different species to form their ‘habitats’ and predict the suitability, termed as ‘Emotional Habitat’. To our knowledge, this framework is the first method to predict emotional distribution from an ecological perspective. Different geographic distributions of seven dimensional emotions are explored and depicted, and emotional diversity and abnormality are detected at the global scale. These results confirm the effectiveness of our framework and offer new insights to understand the relationship between human emotions and the physical environment. Moreover, our method facilitates further rigorous exploration in emotional geography and enriches its content. Numéro de notice : A2021-037 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2020.1755040 Date de publication en ligne : 24/04/2020 En ligne : https://doi.org/10.1080/13658816.2020.1755040 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96746
in International journal of geographical information science IJGIS > vol 35 n° 2 (February 2021) . - pp 227 - 249[article]Incorporating memory-based preferences and point-of-interest stickiness into recommendations in location-based social networks / Hang Zhang in ISPRS International journal of geo-information, vol 10 n° 1 (January 2021)
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Titre : Incorporating memory-based preferences and point-of-interest stickiness into recommendations in location-based social networks Type de document : Article/Communication Auteurs : Hang Zhang, Auteur ; Mingxin Gan, Auteur ; Xi Sun, Auteur Année de publication : 2021 Article en page(s) : n° 10 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] approche participative
[Termes IGN] comportement
[Termes IGN] filtrage d'information
[Termes IGN] interprétation (psychologie)
[Termes IGN] mémoire
[Termes IGN] mobilité humaine
[Termes IGN] point d'intérêt
[Termes IGN] réseau social géodépendant
[Termes IGN] tourismeRésumé : (auteur) In location-based social networks (LBSNs), point-of-interest (POI) recommendations facilitate access to information for people by recommending attractive locations they have not previously visited. Check-in data and various contextual factors are widely taken into consideration to obtain people’s preferences regarding POIs in existing POI recommendation methods. In psychological effect-based POI recommendations, the memory-based attenuation of people’s preferences with respect to POIs, e.g., the fact that more attention is paid to POIs that were checked in to recently than those visited earlier, is emphasized. However, the memory effect only reflects the changes in an individual’s check-in trajectory and cannot discover the important POIs that dominate their mobility patterns, which are related to the repeat-visit frequency of an individual at a POI. To solve this problem, in this paper, we developed a novel POI recommendation framework using people’s memory-based preferences and POI stickiness, named U-CF-Memory-Stickiness. First, we used the memory-based preference-attenuation mechanism to emphasize personal psychological effects and memory-based preference evolution in human mobility patterns. Second, we took the visiting frequency of POIs into consideration and introduced the concept of POI stickiness to identify the important POIs that reflect the stable interests of an individual with respect to their mobility behavior decisions. Lastly, we incorporated the influence of both memory-based preferences and POI stickiness into a user-based collaborative filtering framework to improve the performance of POI recommendations. The results of the experiments we conducted on a real LBSN dataset demonstrated that our method outperformed other methods. Numéro de notice : A2021-148 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi10010036 Date de publication en ligne : 15/01/2021 En ligne : https://doi.org/10.3390/ijgi10010036 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97056
in ISPRS International journal of geo-information > vol 10 n° 1 (January 2021) . - n° 10[article]PermalinkPermalinkMS-RRFSegNetMultiscale regional relation feature segmentation network for semantic segmentation of urban scene point clouds / Haifeng Luo in IEEE Transactions on geoscience and remote sensing, Vol 58 n° 12 (December 2020)PermalinkSocial media as passive geo-participation in transportation planning – how effective are topic modeling & sentiment analysis in comparison with citizen surveys? / Oliver Lock in Geo-spatial Information Science, vol 23 n° 4 (December 2020)PermalinkCartes et cartographie des ressentis et représentations d’individus : état des lieux, questions sémantiques et méthodologiques / Aurélie Arnaud in Mappemonde, n° 129 (novembre 2020)PermalinkStreets of London: Using Flickr and OpenStreetMap to build an interactive image of the city / Azam Raha Bahrehdar in Computers, Environment and Urban Systems, vol 84 (November 2020)PermalinkEvaluating geovisualization for spatial learning analytics / Anthony C. Robinson in International journal of cartography, vol 6 n° 3 (October 2020)PermalinkReflecting on the purpose of mapwork in primary schooling / Simon Catling in International journal of cartography, vol 6 n° 3 (October 2020)PermalinkCartographic inference: a peircean perspective / Gordon A. Cromley in Cartographica, vol 55 n° 2 (Summer 2020)PermalinkMining spatiotemporal association patterns from complex geographic phenomena / Zhanjun He in International journal of geographical information science IJGIS, vol 34 n° 6 (June 2020)Permalink