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Effects of Temporal Load on Attentional Engagement : Preliminary Outcomes with a Change Detection Task in a VR Setting

Kondyli, Vasiliki LU and Bhatt, Mehul (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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publication status
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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}},
}