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ISMAR 2024: Searching Across Realities: Investigating ERPs and Eye-Tracking Correlates of Visual Search in Mixed Reality

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Manage episode 448899023 series 3605621
Content provided by Kai Kunze. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kai Kunze or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

F. Chiossi, I. Trautmannsheimer, C. Ou, U. Gruenefeld and S. Mayer, "Searching Across Realities: Investigating ERPs and Eye-Tracking Correlates of Visual Search in Mixed Reality," in IEEE Transactions on Visualization and Computer Graphics, vol. 30, no. 11, pp. 6997-7007, Nov. 2024, doi: 10.1109/TVCG.2024.3456172.

Mixed Reality allows us to integrate virtual and physical content into users' environments seamlessly. Yet, how this fusion affects perceptual and cognitive resources and our ability to find virtual or physical objects remains uncertain. Displaying virtual and physical information simultaneously might lead to divided attention and increased visual complexity, impacting users' visual processing, performance, and workload. In a visual search task, we asked participants to locate virtual and physical objects in Augmented Reality and Augmented Virtuality to understand the effects on performance. We evaluated search efficiency and attention allocation for virtual and physical objects using event-related potentials, fixation and saccade metrics, and behavioral measures. We found that users were more efficient in identifying objects in Augmented Virtuality, while virtual objects gained saliency in Augmented Virtuality. This suggests that visual fidelity might increase the perceptual load of the scene. Reduced amplitude in distractor positivity ERP, and fixation patterns supported improved distractor suppression and search efficiency in Augmented Virtuality. We discuss design implications for mixed reality adaptive systems based on physiological inputs for interaction.

https://ieeexplore.ieee.org/document/10679197

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41 episodes

Artwork
iconShare
 
Manage episode 448899023 series 3605621
Content provided by Kai Kunze. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kai Kunze or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

F. Chiossi, I. Trautmannsheimer, C. Ou, U. Gruenefeld and S. Mayer, "Searching Across Realities: Investigating ERPs and Eye-Tracking Correlates of Visual Search in Mixed Reality," in IEEE Transactions on Visualization and Computer Graphics, vol. 30, no. 11, pp. 6997-7007, Nov. 2024, doi: 10.1109/TVCG.2024.3456172.

Mixed Reality allows us to integrate virtual and physical content into users' environments seamlessly. Yet, how this fusion affects perceptual and cognitive resources and our ability to find virtual or physical objects remains uncertain. Displaying virtual and physical information simultaneously might lead to divided attention and increased visual complexity, impacting users' visual processing, performance, and workload. In a visual search task, we asked participants to locate virtual and physical objects in Augmented Reality and Augmented Virtuality to understand the effects on performance. We evaluated search efficiency and attention allocation for virtual and physical objects using event-related potentials, fixation and saccade metrics, and behavioral measures. We found that users were more efficient in identifying objects in Augmented Virtuality, while virtual objects gained saliency in Augmented Virtuality. This suggests that visual fidelity might increase the perceptual load of the scene. Reduced amplitude in distractor positivity ERP, and fixation patterns supported improved distractor suppression and search efficiency in Augmented Virtuality. We discuss design implications for mixed reality adaptive systems based on physiological inputs for interaction.

https://ieeexplore.ieee.org/document/10679197

  continue reading

41 episodes

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