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196 results on '"Çöltekin, Arzu"'

1. Artificial intelligence and visual analytics in geographical space and cyberspace: Research opportunities and challenges

Author

Chen, Min, Claramunt, Christophe, Çöltekin, Arzu, Liu, Xintao, Peng, Peng, Robinson, Anthony C., Wang, Dajiang, Strobl, Josef, Wilson, John P., Batty, Michael, Kwan, Mei-Po, Lotfian, Maryam, Golay, François, Joost, Stéphane, Ingensand, Jens, Senousi, Ahmad M., Cheng, Tao, Bandrova, Temenoujka, Konecny, Milan, Torrens, Paul M., Klippel, Alexander, Li, Songnian, Zhang, Fengyuan, He, Li, Wang, Jinfeng, Ratti, Carlo, Kolditz, Olaf, Lin, Hui, and Lü, Guonian

Published
2023
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2. Expert Insights for Designing Conversational User Interfaces as Virtual Assistants and Companions for Older Adults with Cognitive Impairments

Author

Koebel, Kathrin, Lacayo, Martin, Murali, Madhumitha, Tarnanas, Ioannis, Çöltekin, Arzu, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Følstad, Asbjørn, editor, Araujo, Theo, editor, Papadopoulos, Symeon, editor, Law, Effie L.-C., editor, Luger, Ewa, editor, Goodwin, Morten, editor, and Brandtzaeg, Petter Bae, editor

Published
2022
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3. Gesture Interaction in Virtual Reality : A Low-Cost Machine Learning System and a Qualitative Assessment of Effectiveness of Selected Gestures vs. Gaze and Controller Interaction

Author

Huesser, Cloe, Schubiger, Simon, Çöltekin, Arzu, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Ardito, Carmelo, editor, Lanzilotti, Rosa, editor, Malizia, Alessio, editor, Petrie, Helen, editor, Piccinno, Antonio, editor, Desolda, Giuseppe, editor, and Inkpen, Kori, editor

Published
2021
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8. Cartography in GeoAI

Author

Robinson, Anthony C., primary, Çöltekin, Arzu, additional, Griffin, Amy L., additional, and Ledermann, Florian, additional

Published
2023
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26. Digital earth: yesterday, today, and tomorrow

Author

Annoni, Alessandro, primary, Nativi, Stefano, additional, Çöltekin, Arzu, additional, Desha, Cheryl, additional, Eremchenko, Eugene, additional, Gevaert, Caroline M., additional, Giuliani, Gregory, additional, Chen, Min, additional, Perez-Mora, Luis, additional, Strobl, Joseph, additional, and Tumampos, Stephanie, additional

Published
2023
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32. Visual Exploration of Eye Movement Data Using the Space-Time-Cube

Author

Li, Xia, Çöltekin, Arzu, Kraak, Menno-Jan, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Fabrikant, Sara Irina, editor, Reichenbacher, Tumasch, editor, van Kreveld, Marc, editor, and Schlieder, Christoph, editor

Published
2010
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34. A deep learning saliency model for exploring viewers' dwell-time distributions over Areas Of Interest on webcam-based eye-tracking data

Author

Bruno, Alessandro, Tliba, Marouane, and Çöltekin, Arzu

Subjects
Eye movements, Deep Learning, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Visual Saliency, Webcam-based Eye-tracking, poster
Abstract

Visual saliency is a common computational method to\ud detect attention-drawing regions in images, abiding by\ud top-down and bottom-up processes of visual attention.\ud Computer vision algorithms generate saliency maps,\ud which often undergo a validation step in eye-tracking sessions with human participants in controlled labs.\ud However, due to the covid-19 pandemic, experimental\ud sessions have been difficult to roll out. Thus, new\ud webcam-based tools, powered by the developments in\ud machine learning, come into play to help track down\ud onscreen eye movements. Claimed error rates of recent\ud webcam eye trackers can be as low as 1.05°, comparable\ud to sophisticated infrared-based eye-trackers, opening new\ud paths to explore. Using webcams allows reaching a\ud broader participant pool and collecting data over different\ud experiments (e.g., free viewing or task-driven). In our\ud work, we collect webcam eye-tracking data over a collection of images with 2-4 salient objects against a homogenous background. Objects within the images represent our\ud AOIs (areas of interest). We have two main goals: a)\ud Check how eye movements vary on AOIs across all spatial permutations of the same AOI in a given image; b)\ud Extract correlations for a given image containing N\ud 224 Perception 50(1S)\ud objects between viewers’ eye movement dwell times over\ud the N AOIs and the corresponding AOIs saliency maps.\ud We will show relationships between viewers’ dwell time\ud over each AOI throughout all factorial N spatial permutations and variance of AOIs’ salient pixels. Based on this\ud relationship, eventually, object-oriented saliency models\ud can be used to predict dwell-time distributions over\ud AOIs for a given image.

Published
2021

35. New directions for the state of the art and science in Cartography

Author

Robinson, Anthony C., Kettunen, Pyry, Delazari, Luciene, and Çöltekin, Arzu

Abstract

ABSTRACTFrontiers in cartographic research are often found at the intersections where cartography overlaps with other domains in art, science, and technology. In this editorial, we summarize the major themes that are found in a new collection of invited literature reviews. Broad themes that emerge from this collection include the rise of novel virtual environments, ongoing user-centered design challenges for improving the utility and usability of geographic visualizations, and new approaches for representation and analysis for the development of geovisualizations.

Published
2023
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46. Extended Reality in Spatial Sciences: A Review of Research Challenges and Future Directions

Author

Çöltekin, Arzu, primary, Lochhead, Ian, additional, Madden, Marguerite, additional, Christophe, Sidonie, additional, Devaux, Alexandre, additional, Pettit, Christopher, additional, Lock, Oliver, additional, Shukla, Shashwat, additional, Herman, Lukáš, additional, Stachoň, Zdeněk, additional, Kubíček, Petr, additional, Snopková, Dajana, additional, Bernardes, Sergio, additional, and Hedley, Nicholas, additional

Published
2020
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50. GeoGCD: improved visual search via gaze-contingent display

Author

Bektaş, Kenan, Çöltekin, Arzu, Krüger, Jens, Duchowski, Andrew T., Fabrikant, Sara Irina, Bektaş, Kenan, Çöltekin, Arzu, Krüger, Jens, Duchowski, Andrew T., and Fabrikant, Sara Irina

Abstract

Gaze-Contingent Displays (GCDs) can improve visual search performance on large displays. GCDs, a Level Of Detail (LOD) management technique, discards redundant peripheral detail using various human visual perception models. Models of depth and contrast perception (e.g., depth-of-field and foveation) have often been studied to address the trade-off between the computational and perceptual benefits of GCDs. However, color perception models and combinations of multiple models have not received as much attention. In this paper, we present GeoGCD which uses individual contrast, color, and depth-perception models, and their combination to render scenes without perceptible latency. As proof-of-concept, we present a three-stage user evaluation built upon geographic image interpretation tasks. GeoGCD does not impair users' visual search performance or affect their display preferences. On the contrary, in some cases, it can significantly improve users' performance.

Published
2019

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