1,721,037 research outputs found
GeoAR A calibration method for Geographic-aware augmented reality: Getting started
No full text<h2>How to cite</h2>
<p>Please, don't forget to cite the original research article that result in this application:</p>
<p>Galvão, M. L., Fogliaroni, P., Giannopoulos, I., Navratil, G., Kattenbeck, M., & Alinaghi, N. (2024). <a href="https://www.tandfonline.com/doi/full/10.1080/13658816.2024.2355326"><strong>GeoAR: a calibration method for Geographic-Aware Augmented Reality</strong></a>. <em>International Journal of Geographical Information Science</em>, 1–27. <a href="https://doi.org/10.1080/13658816.2024.2355326">https://doi.org/10.1080/13658816.2024.2355326</a></p>
<h2>GeoAR getting started application</h2>
<p>This getting started tutorial provides the basic information so you can implement your own geographic-aware AR application.</p>
<p>The project we provide here is described in the IJGIS article GeoAR: A calibration method for Geographic-aware augmented reality, and it provides the means for all four calibration approaches described in the article.</p>
<p>The set-up we provide here is for the device Microsoft Hololens 2, but feel free to adpat the code to use in different devices.</p>
<h2><strong>Basic requirements</strong></h2>
<p>In order to run and develop your GeoAR application using this project it is required the following:</p>
<ul>
<li>AR device (Microsoft Hololens 2)</li>
<li>Unity Hub with Unity 2021.3.2f1 installed (adaptations for a later version of Unity might be necessary)</li>
<li>Microsoft Visual Studio (Version 16.11.15 or later)</li>
<li>Mixed Reality Toolkit (MRTK) foundation package for Unity (2.8.0.0)</li>
</ul>
<p>If you do not have experience in developing with Unity or MRTK, we highly recommend you go through the following Microsoft training modules:</p>
<p><a href="https://learn.microsoft.com/en-us/training/modules/learn-mrtk-tutorials/1-1-introduction">Introduction to the Mixed Reality Toolkit – Set Up Your Project and Use Hand Interaction</a></p>
<p><a href="https://learn.microsoft.com/en-us/training/modules/intro-to-mixed-reality/">Introduction to mixed reality</a></p>
<h2><strong>1. Download and </strong>open<strong> </strong>the <strong>project in Unity</strong></h2>
<ol>
<li>Download the project folder and unpack it in your local machine</li>
<li>Use Unity Hub to open the project folder GeoARUnityProject (make sure you have the right version installed)</li>
<li>If everything is correct, you will be able to play the application in the game mode.</li>
</ol>
<p>Further instructions with video tutorials can be found here :</p>
<p><a href="https://geoinfo.geo.tuwien.ac.at/geoar-getting-started/">https://geoinfo.geo.tuwien.ac.at/geoar-getting-started/</a></p>
<h3><strong>License</strong></h3>
<p>All data is published under the CC-BY 4.0 license. The code is under the GNU General public license</p>
Route choice through regions by pedestrian agents
No full textSimulation models for pedestrian movement are valuable tools to support decision-making processes in urban design. However, existing models of pedestrian behaviour are built on simplistic assumptions regarding people's representation of the urban space and spatial behaviour. In this work, a route-choice algorithm that takes into account regionalisation processes and the hierarchical organisation of geographical elements is adapted for pedestrian movement and incorporated into an agent-based model. The macro-level patterns emerging from two scenarios, one employing an angular-change minimisation algorithm and the other employing the regional algorithm here proposed, are compared for a case study in London, UK. Our routing algorithm led agents to recur to a higher number of street segments, i.e. routes were more diverse among agents. Though validation has not yet been performed, we deem the patterns resulting from the regional algorithm more plausible
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
I Can Tell by Your Eyes! Continuous Gaze-Based Turn-Activity Prediction Reveals Spatial Familiarity
No full text<p>The data used for the analysis in the paper entitled "<strong>I Can Tell by Your Eyes! Continuous Gaze-Based Turn-Activity Prediction Reveals Spatial Familiarity</strong>" published in LIPIcs, Volume 240, COSIT 2022</p>
<h2><strong>How to Cite?</strong></h2>
<p><a href="https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2022.2">Alinaghi, N., Kattenbeck, M., & Giannopoulos, I. (2022). I can tell by your eyes! continuous gaze-based turn-activity prediction reveals spatial familiarity. In <em>15th International Conference on Spatial Information Theory (COSIT 2022)</em>. Schloss-Dagstuhl-Leibniz Zentrum für Informatik.</a></p><p>Spatial familiarity plays an essential role in the wayfinding decision-making process. Recent findings in wayfinding activity recognition domain suggest that wayfinders' turning behavior at junctions is strongly influenced by their spatial familiarity. By continuously monitoring wayfinders' turning behavior as reflected in their eye movements during the decision-making period (i.e., immediately after an instruction is received until reaching the corresponding junction for which the instruction was given), we provide evidence that familiar and unfamiliar wayfinders can be distinguished. By applying a pre-trained XGBoost turning activity classifier on gaze data collected in a real-world wayfinding task with 33 participants, our results suggest that familiar and unfamiliar wayfinders show different onset and intensity of turning behavior. These variations are not only present between the two classes -familiar vs. unfamiliar- but also within each class. The differences in turning-behavior within each class may stem from multiple sources, including different levels of familiarity with the environment.</p>
Wissenschaftskommunikation im Fall der Theologie: Wissenschaftlicher Dialog und der Dialog mit den Naturwissenschaften
No full textWarum wissenschaftliche Kommunikation so gut funktioniert: Voraussetzungen, Methoden, Formate einer jahrtausendealten Kommunikation und die Universität der Zukunft
Full text linkVariations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Warum wissenschaftliche Kommunikation so gut funktioniert: Voraussetzungen, Methoden, Formate einer jahrtausendealten Kommunikation und die Universität der Zukunft
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