10 results on '"empirical user study"'
Search Results
2. A Manageable Model for Experimental Research Data: An Empirical Study in the Materials Sciences
- Author
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Putze, Susanne, Porzel, Robert, Savino, Gian-Luca, Malaka, Rainer, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Krogstie, John, editor, and Reijers, Hajo A., editor
- Published
- 2018
- Full Text
- View/download PDF
3. How does navigation system behavior influence human behavior?
- Author
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Annina Brügger, Kai-Florian Richter, and Sara Irina Fabrikant
- Subjects
Attention ,Automation ,Ecological validity ,Empirical user study ,Human–computer interaction (HCI) ,Incidental learning ,Consciousness. Cognition ,BF309-499 - Abstract
Abstract Navigation systems are ubiquitous tools to assist wayfinders of the mobile information society with various navigational tasks. Whenever such systems assist with self-localization and path planning, they reduce human effort for navigating. Automated navigation assistance benefits navigation performance, but research seems to show that it negatively affects attention to environment properties, spatial knowledge acquisition, and retention of spatial information. Very little is known about how to design navigation systems for pedestrian navigation that increase both navigation performance and spatial knowledge acquisition. To this end, we empirically tested participants (N = 64) using four different navigation system behaviors (between-subject design). Two cognitive processes with varying levels of automation, self-localization and allocation of attention, define navigation system behaviors: either the system automatically executes one of the processes (high level of automation), or the system leaves the decision of when and where to execute the process to the navigator (low level of automation). In two experimental phases, we applied a novel empirical framework for evaluating spatial knowledge acquisition in a real-world outdoor urban environment. First, participants followed a route assisted by a navigation system and, simultaneously, incidentally acquired spatial knowledge. Second, participants reversed the route using the spatial knowledge acquired during the assisted phase, this time without the aid of the navigation system. Results of the route-following phase did not reveal differences in navigation performance across groups using different navigation system behaviors. However, participants using systems with higher levels of automation seemed not to acquire enough spatial knowledge to reverse the route without navigation errors. Furthermore, employing novel methods to analyze mobile eye tracking data revealed distinct patterns of human gaze behavior over time and space. We thus can demonstrate how to increase spatial knowledge acquisition without harming navigation performance when using navigation systems, and how to influence human navigation behavior with varying navigation system behavior. Thus, we provide key findings for the design of intelligent automated navigation systems in real-world scenarios.
- Published
- 2019
- Full Text
- View/download PDF
4. The effects of visual realism, spatial abilities, and competition on performance in map-based route learning in men.
- Author
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Çöltekin, Arzu, Francelet, Rebecca, Richter, Kai-Florian, Thoresen, John, and Fabrikant, Sara Irina
- Subjects
- *
ROAD maps , *MEMORIZATION , *SPATIAL ability , *SATELLITE meteorology , *SHORT-term memory , *CARTOGRAPHERS - Abstract
We report on how visual realism might influence map-based route learning performance in a controlled laboratory experiment with 104 male participants in a competitive context. Using animations of a dot moving through routes of interest, we find that participants recall the routes more accurately with abstract road maps than with more realistic satellite maps. We also find that, irrespective of visual realism, participants with higher spatial abilities (high-spatial participants) are more accurate in memorizing map-based routes than participants with lower spatial abilities (low-spatial participants). On the other hand, added visual realism limits high-spatial participants in their route recall speed, while it seems not to influence the recall speed of low-spatial participants. Competition affects participants’ overall confidence positively, but does not affect their route recall performance neither in terms of accuracy nor speed. With this study, we provide further empirical evidence demonstrating that it is important to choose the appropriate map type considering task characteristics and spatial abilities. While satellite maps might be perceived as more fun to use, or visually more attractive than road maps, they also require more cognitive resources for many map-based tasks, which is true even for high-spatial users. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
5. Time and space for segmenting personal photo sets.
- Author
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Datia, Nuno, Moura Pires, João, and Correia, Nuno
- Subjects
PHOTOGRAPHS ,COMPUTER algorithms ,SPACETIME ,IMAGE segmentation ,DIGITAL image processing - Abstract
A personal collection of photos shows large variability in the depicted items, making difficult a fully automated solution to cope with sensory and semantic gaps. Emotions and non-visual contextual information can be very important to address those problems. Manual annotations are key, but their time-consuming nature alienate users from doing them. One solution is to lower the annotation effort, building solutions on top of algorithms that prepare a context separation, making possible the reuse of annotations. In this paper we present a segmentation algorithm that uses spatio-temporal information to segment personal photo collections. The algorithm is assessed in a user study, using the participants own photos. The results show users make none or few changes to the proposed segmentations, indicating an acceptance of the algorithm outcome. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
- View/download PDF
6. How does navigation system behavior influence human behavior?
- Author
-
Brügger, Annina, Richter, Kai-Florian, and Fabrikant, Sara Irina
- Published
- 2019
- Full Text
- View/download PDF
7. An evaluation of semantic fisheye views for opportunistic search in an annotated image collection.
- Author
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Janecek, Paul and Pu, Pearl
- Subjects
- *
COMPUTER interfaces , *WORLD Wide Web , *INFORMATION storage & retrieval systems , *ELECTRONIC information resources , *COMPUTER systems - Abstract
Visual interfaces are potentially powerful tools for users to explore a representation of a collection and opportunistically discover information that will guide them toward relevant documents.Semantic fisheye views(SFEVs) arefocus + contextvisualization techniques that manage visual complexity by selectively emphasizing and increasing the detail of information related to the user’s focus and deemphasizing or filtering less important information.In this paper we describe a prototype for visualizing an annotated image collection and an experiment to compare the effectiveness of two distinctly different SFEVs for a complex opportunistic search task. The first SFEV calculates relevance based on keyword-content similarity and the second based on conceptual relationships between images derived using WordNet. The results of the experiment suggest that semantic-guided search is significantly more effective than similarity-guided search for discovering and using domain knowledge in a collection. [ABSTRACT FROM AUTHOR]
- Published
- 2005
- Full Text
- View/download PDF
8. The effects of visual realism, spatial abilities, and competition on performance in map-based route learning in men
- Author
-
Kai-Florian Richter, Rebecca Francelet, John C. Thoresen, Sara Irina Fabrikant, Arzu Çöltekin, University of Zurich, and Cöltekin, Arzu
- Subjects
knowledge ,spatial abilities ,Computer science ,Geography, Planning and Development ,2205 Civil and Structural Engineering ,Visual realism ,Context (language use) ,route learning ,050105 experimental psychology ,interact ,Competition (economics) ,memory ,empirical user study ,03 medical and health sciences ,visual realism ,0302 clinical medicine ,3305 Geography, Planning and Development ,Management of Technology and Innovation ,displays ,0501 psychology and cognitive sciences ,1405 Management of Technology and Innovation ,910 Geography & travel ,Simulation ,environments ,Applied Psychology ,Civil and Structural Engineering ,05 social sciences ,visualizations ,Information and Computer Science ,cartographic abstraction ,030229 sport sciences ,Tillämpad psykologi ,Human Computer Interaction ,anxiety ,Människa-datorinteraktion (interaktionsdesign) ,working-memory ,verisimilitude ,10122 Institute of Geography ,strategies ,Laboratory experiment ,Realism ,Cognitive psychology ,metaanalysis - Abstract
We report on how visual realism might influence map-based route learning performance in a controlled laboratory experiment with 104 male participants in a competitive context. Using animations of a dot moving through routes of interest, we find that participants recall the routes more accurately with abstract road maps than with more realistic satellite maps. We also find that, irrespective of visual realism, participants with higher spatial abilities (high-spatial participants) are more accurate in memorizing map-based routes than participants with lower spatial abilities (low-spatial participants). On the other hand, added visual realism limits high-spatial participants in their route recall speed, while it seems not to influence the recall speed of low-spatial participants. Competition affects participants’ overall confidence positively, but does not affect their route recall performance neither in terms of accuracy nor speed. With this study, we provide further empirical evidence demonstrating that it is important to choose the appropriate map type considering task characteristics and spatial abilities. While satellite maps might be perceived as more fun to use, or visually more attractive than road maps, they also require more cognitive resources for many map-based tasks, which is true even for high-spatial users. First published online: 04 Jul 2017
- Published
- 2018
9. Using social semantic knowledge to improve annotations in personal photo collections
- Author
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Datia, Nuno Miguel Soares and Pires, João
- Subjects
Personal photo collections ,Annotations ,Multimedia summarisation ,Empirical user study ,Human factors ,Context separation - Abstract
Instituto Politécnico de Lisboa (IPL) e Instituto Superior de Engenharia de Lisboa (ISEL)apoio concedido pela bolsa SPRH/PROTEC/67580/2010, que apoiou parcialmente este trabalho
- Published
- 2014
10. How does navigation system behavior influence human behavior?
- Author
-
Brügger, Annina, Richter, Kai-Florian, and Fabrikant, Sara I.
- Subjects
empirical user study ,Automation ,Human–computer interaction (HCI) ,location-based services (LBS) ,11. Sustainability ,Attention ,Incidental learning ,Ecological Validity ,Spatial cognition - Abstract
Navigation systems are ubiquitous tools to assist wayfinders of the mobile information society with various navigational tasks. Whenever such systems assist with self-localization and path planning, they reduce human effort for navigating. Automated navigation assistance benefits navigation performance, but research seems to show that it negatively affects attention to environment properties, spatial knowledge acquisition, and retention of spatial information. Very little is known about how to design navigation systems for pedestrian navigation that increase both navigation performance and spatial knowledge acquisition. To this end, we empirically tested participants (N = 64) using four different navigation system behaviors (between-subject design). Two cognitive processes with varying levels of automation, self-localization and allocation of attention, define navigation system behaviors: either the system automatically executes one of the processes (high level of automation), or the system leaves the decision of when and where to execute the process to the navigator (low level of automation). In two experimental phases, we applied a novel empirical framework for evaluating spatial knowledge acquisition in a real-world outdoor urban environment. First, participants followed a route assisted by a navigation system and, simultaneously, incidentally acquired spatial knowledge. Second, participants reversed the route using the spatial knowledge acquired during the assisted phase, this time without the aid of the navigation system. Results of the route-following phase did not reveal differences in navigation performance across groups using different navigation system behaviors. However, participants using systems with higher levels of automation seemed not to acquire enough spatial knowledge to reverse the route without navigation errors. Furthermore, employing novel methods to analyze mobile eye tracking data revealed distinct patterns of human gaze behavior over time and space. We thus can demonstrate how to increase spatial knowledge acquisition without harming navigation performance when using navigation systems, and how to influence human navigation behavior with varying navigation system behavior. Thus, we provide key findings for the design of intelligent automated navigation systems in real-world scenarios., Cognitive Research: Principles and Implications (4)
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