This study aimed to better understand visuomotor tracking and spatial visual imagery. 101 Participants performed four tasks: A Manual Tracking Task (MTT), in which participants mouse-tracked the path of a circle, sometimes with occlusion. A Multi-Object Tracking task (MOT), in which participants tracked several objects simultaneously. The Sussex Cognitive Styles Questionnaire (SCSQ), in which participants self-reported their experience with imagery. A Mental Rotation Task (MRT) in which participants mentally rotate Tetris-like objects. The results demonstrated a significant correlation between the technical/spatial subscale of the SCSQ and the occluded MTT, the MRT, the MOT but not the visible MTT. A multiple regression showed that occluded MTT and the MRT together significantly predicted the spatial/technical subscale of the SCSQ above visible MTT and MOT. These findings support the claim that the cognitive resources behind mental imagery may also be recruited during other tasks that arguably draw on the need for internal visualization.

Mathematics education researchers have examined the relationship between visualization and mathematics for decades (e.g., Arcavi, 2003; Bishop, 1991; Duval, 1999; Fennema & Tartre, 1985; Presmeg, 1986). Studies have linked spatial visualization ability, such as measured in mental rotation tasks, directly to mathematics self-efficacy (Pajares & Kranzler, 1995; Weckbacher & Okamoto, 2014), which in turn influences mathematics achievement (Casey, Nuttall, & Pezaris, 1997). With the important role that spatial visualization plays in learning mathematics, the recent identification of congenital aphantasia (Zeman, Dewar, & Della Sala, 2015), which is the lack of mental imagery ability, has raised new questions for mathematics education researchers. This study investigated the differences in mental rotation test performance and vividness of spatial imagery between people who have aphantasia and people who do not as a first step toward examining how aphantasia may affect mathematics learning and education. Results confirmed prior aphantasia research showing that there was no significant difference in mental rotation test performance between people with aphantasia and those without aphantasia, despite people with aphantasia reporting significantly lower vividness of spatial imagery. Results also showed that there was less difference in mental rotation test performance between the genders for people with aphantasia, while gender played a significant role in mental rotation test performance for people without aphantasia. People with aphantasia also reported lower self-efficacy in the arts than people without aphantasia. Implications of these results will be discussed within the context of current research, and possible directions for future research will be offered.

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Maps are essential tools for providing tourism information. Hence, it is imperative for tourism marketers to understand how tourists perceive spatial information and sense physical places virtually presented in digital maps. Based on sense of place, spatial cognition, and virtual reality literature, this study constructed a conceptual framework to measure how different interactivity levels of a digital map interface affect potential tourists' experience when exploring maps. In addition, the study explored how individual characteristics such as place attachment and spatial ability affect virtual-spatial experiences. An experiment was conducted to test the developed Virtual Spatial Experience model. Google Earth maps were manipulated using two experimental conditions: low level (satellite view map only) vs. high level (three dimensional (3D) dynamic objects). The questionnaire included self-report items regarding perceived map interactivity, spatial ability, affective place attachment, spatial orientation, spatial imagery, and spatial presence. Responses from 211 students were analyzed using structural equation modeling (SEM). The study results showed that map interfaces influence human perceptions of map interactivity. Perceived map interactivity positively affected virtual spatial experiences: spatial orientation, spatial imagery and spatial presence. Spatial ability positively influenced spatial orientation which in turn led to greater spatial imagery and ultimately greater spatial presence. The results further demonstrated that affective place attachment positively influenced spatial presence. The findings provided evidence that sense of place in the real world, such as affective place attachment to the experimental setting (Walt Disney World, Florida), influences spatial experiences of an environment virtually presented in the map. Therefore, by applying place attachment to virtual environment studies, this study expanded the scope of theories used in exploring human spatial experience. Moreover, evaluating the influence of map interactivity, this study provided practical implications for designing destination maps. By applying 3D dynamic objects as a design feature in an interactive map, tourism marketers can produce enhanced virtual spatial experiences. As this study used Walt Disney World's Magic Kingdom Park presented on Google Earth as the experimental setting, the collected data also informs the understanding of virtual experiences and perceptions of the park.

The topic of this work is to verify appreciation of stereoskopy projection, description of its principle and forming interactive pictures of prisms and spatial situations by the use of stereoskopy projection. This aid should simplify teaaching process of stereometry at secondary schools, bodies at primary schools and mainly help to improve spatial imagination. Focus of the aid is to help pupils and students to see and to understand all key principles of geometry.

Thesis (M.A.)--Miami University, Dept. of Psychology, 2006. / Title from first page of PDF document. Includes bibliographical references (p. 18-22).

La production de Modèles Numériques de Terrain (MNT) a subi d’importantes évolutions durant les deux dernières décennies en réponse à une demande croissante pour des besoins scientifiques et industriels. De nombreux satellites d’observation de la Terre, utilisant des capteurs tant optiques que radar, ont permis de produire des MNT couvrant la plupart de la surface terrestre. De plus, les algorithmes de traitement d’images et de nuages de points ont subi d’importants développements. Ces évolutions ont fourni des MNT à différentes échelles pour tout utilisateur. Les applications basées sur la géomorphologie ont profité de ces progrès. En effet, ces applications exploitent les formes du terrain dont le MNT constitue une donnée de base. Cette étude a pour objectif d’évaluer l’impact des paramètres de production de MNT par photogrammétrie et par InSAR sur la qualité de position et de forme de ces modèles. La qualité de position, évaluée par les producteurs de MNT, n’est pas suffisante pour évaluer la qualité des formes. Ainsi, nous avons décrit les méthodes d’évaluation de la qualité de position et de forme et la différence entre elles. Une méthode originale de validation interne, qui n’exige pas de données de référence, a été proposée. Ensuite, l’impact des paramètres de l’appariement stéréoscopique, du traitement interférométrique ainsi que du rééchantillonnage, sur l’altitude et les formes, a été évalué. Finalement, nous avons conclu sur des recommandations pour choisir correctement les paramètres de production, en particulier en photogrammétrie.Nous avons observé un impact négligeable de la plupart des paramètres sur l’altitude, à l’exception de ceux de l’InSAR. Par contre, un impact significatif existe sur les dérivées de l’altitude. L’impact des paramètres d’appariement présente une forte dépendance avec la morphologie du terrain et l’occupation du sol. Ainsi, le choix de ces paramètres doit être effectué en prenant en considération ces deux facteurs. L’effet des paramètres du traitement interférométrique se manifeste par des erreurs de déroulement de phase qui affectent principalement l’altitude et peu les dérivées. Les méthodes d’interpolation et la taille de maille présentent un impact faible sur l’altitude et important sur ses dérivées. En effet, leur valeur et leur qualité dépendent directement de la taille de maille. Le choix de cette taille doit s’effectuer selon les besoins de l’application visée. Enfin, nous avons conclu que ces paramètres sont interdépendants et peuvent avoir des effets similaires. Leur choix doit être effectué en prenant en considération à la fois l’application concernée, la morphologie du terrain et son occupation du sol afin de minimiser l’erreur des résultats finaux et des conclusions. / The production of Digital Elevation Models (DEMs) has undergone significant evolution duringthe last two decades resulting from a growing demand for scientific as well as industrial purposes.Many Earth observation satellites, using optical and radar sensors, have enabled the production ofDEMs covering most of the Earth’s surface. The algorithms of image and point cloud processing havealso undergone significant evolution. This progress has provided DEMs on different scales, which canfulfill the requirements of many users. The applications based on geomorphology have benefitted fromthis evolution. Indeed, these applications concentrate specifically on landforms for which the DEMconstitutes a basic data.The aim of this study is to assess the impact of the parameters of DEM production byphotogrammetry and InSAR on position and shape quality. The position quality, assessed by DEMproducers, is not sufficient for the evaluation of shape quality. Thus, the evaluation methods ofposition and shape quality and the difference between them are described. A novel method of internalvalidation, which does not require reference data, is proposed. Then, the impact of image matchingand interferometric processing parameters as well as resampling, on elevation and shapes, is assessed.Finally, we conclude on recommendations on how to choose the production parameters correctly,particularly for photogrammetry.We observe little impact from most of the parameters on the elevation, except InSAR parameters.On the other hand, there is a significant impact on the elevation derivatives. The impact of matchingparameters presents a strong dependence on the terrain morphology and the landcover. Therefore,these parameters have to be selected by taking into account these two factors. The effect ofinterferometric processing manifests by phase unwrapping errors that mainly affect the elevation andless the derivatives. The interpolation methods and the mesh size present a small impact on theelevation and a significant impact on the derivatives. Indeed, the value of the derivatives and theirquality depend directly on the mesh size. The selection of this size has to be made according to theforeseen application. Finally, we conclude that these parameters are interdependent and can havesimilar effects. They must be selected according to the foreseen application, the terrain morphologyand the landcover in order to minimize the error in the final results and the conclusions.