Effects of Temporal Load on Attentional Engagement : Preliminary Outcomes with a Change Detection Task in a VR Setting
(2024) 2024 ACM Symposium on Applied Perception, SAP 2024 In Proceedings: SAP 2024 - ACM Symposium on Applied Perception- Abstract
Situation awareness in driving involves detection of events and environmental changes. Failure in detection can be attributed to the density of these events in time, amongst other factors. In this research, we explore the effect of temporal proximity, and event duration in a change detection task during driving in VR. We replicate real-world interaction events in the streetscape and systematically manipulate temporal proximity among them. The results demonstrate that events occurring simultaneously deteriorate detection performance, while performance improves as the temporal gap increases. Moreover, attentional engagement to an event of 5-10 sec leads to compromised perception for the following event. We discuss the importance of... (More)
Situation awareness in driving involves detection of events and environmental changes. Failure in detection can be attributed to the density of these events in time, amongst other factors. In this research, we explore the effect of temporal proximity, and event duration in a change detection task during driving in VR. We replicate real-world interaction events in the streetscape and systematically manipulate temporal proximity among them. The results demonstrate that events occurring simultaneously deteriorate detection performance, while performance improves as the temporal gap increases. Moreover, attentional engagement to an event of 5-10 sec leads to compromised perception for the following event. We discuss the importance of naturalistic embodied perception studies for evaluating driving assistance and driver's education.
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- author
- Kondyli, Vasiliki LU and Bhatt, Mehul
- organization
- publishing date
- 2024-08-30
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Proceedings : SAP 2024 - ACM Symposium on Applied Perception - SAP 2024 - ACM Symposium on Applied Perception
- series title
- Proceedings: SAP 2024 - ACM Symposium on Applied Perception
- editor
- Spencer, Stephen N.
- publisher
- Association for Computing Machinery (ACM)
- conference name
- 2024 ACM Symposium on Applied Perception, SAP 2024
- conference location
- Dublin, Ireland
- conference dates
- 2024-08-30 - 2024-08-31
- external identifiers
-
- scopus:85205102252
- ISBN
- 9798400710612
- DOI
- 10.1145/3675231.3687149
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2024 Owner/Author.
- id
- f8bd0927-c85e-4460-be80-1f57b0d52d5c
- date added to LUP
- 2024-12-18 14:54:14
- date last changed
- 2025-04-04 14:19:22
@inproceedings{f8bd0927-c85e-4460-be80-1f57b0d52d5c, abstract = {{<p>Situation awareness in driving involves detection of events and environmental changes. Failure in detection can be attributed to the density of these events in time, amongst other factors. In this research, we explore the effect of temporal proximity, and event duration in a change detection task during driving in VR. We replicate real-world interaction events in the streetscape and systematically manipulate temporal proximity among them. The results demonstrate that events occurring simultaneously deteriorate detection performance, while performance improves as the temporal gap increases. Moreover, attentional engagement to an event of 5-10 sec leads to compromised perception for the following event. We discuss the importance of naturalistic embodied perception studies for evaluating driving assistance and driver's education.</p>}}, author = {{Kondyli, Vasiliki and Bhatt, Mehul}}, booktitle = {{Proceedings : SAP 2024 - ACM Symposium on Applied Perception}}, editor = {{Spencer, Stephen N.}}, isbn = {{9798400710612}}, language = {{eng}}, month = {{08}}, publisher = {{Association for Computing Machinery (ACM)}}, series = {{Proceedings: SAP 2024 - ACM Symposium on Applied Perception}}, title = {{Effects of Temporal Load on Attentional Engagement : Preliminary Outcomes with a Change Detection Task in a VR Setting}}, url = {{http://dx.doi.org/10.1145/3675231.3687149}}, doi = {{10.1145/3675231.3687149}}, year = {{2024}}, }