The effect of automated agents on individual performance under induced stress
The effect of automated agents on individual performance under induced stress
Induced stress is a phenomenon commonly experienced across different fields such as emergency services, healthcare, air traffic control, sports, and business - which necessitates the development of effective coping strategies and resilience for individuals or teams performing under pressure. This study aims to examine the effects of automated agents on individual performance during high-stress conditions. The design of these agents ensures they carry out identical tasks as participants based on predetermined frameworks. Participants underwent an experimentally designed task that aimed at inducing stress while measuring their performance amidst time pressure and auditory distraction. Results indicate that working with automated agents causes individuals to alter their approach by focusing narrowly on immediate concerns - making it challenging for them to consider several options or see broader contexts accurately. Regardless of ability level participants' performances were influenced by these automated agents. Future research will explore how these findings interact with physiological signals. This study highlights the importance of developing effective coping strategies and the potential impact of social factors on individual performance under induced stress.
Induced stress, Individual performance, Time pressure, Human-agent,, Decision-making
118-127
Singh, Lokesh
ed390acd-37b6-41f9-8ba3-91f503dd4e01
Ramchurn, Gopal
1d62ae2a-a498-444e-912d-a6082d3aaea3
27 November 2023
Singh, Lokesh
ed390acd-37b6-41f9-8ba3-91f503dd4e01
Ramchurn, Gopal
1d62ae2a-a498-444e-912d-a6082d3aaea3
Singh, Lokesh and Ramchurn, Gopal
(2023)
The effect of automated agents on individual performance under induced stress.
Kalra, Jay
(ed.)
In Emerging Technologies in Healthcare and Medicine: Proceedings of the AHFE International Conference on Human Factors in Design, Engineering and Computing (AHFE 2023 Hawaii Edition).
AHFE International.
.
(doi:10.54941/ahfe1004363).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Induced stress is a phenomenon commonly experienced across different fields such as emergency services, healthcare, air traffic control, sports, and business - which necessitates the development of effective coping strategies and resilience for individuals or teams performing under pressure. This study aims to examine the effects of automated agents on individual performance during high-stress conditions. The design of these agents ensures they carry out identical tasks as participants based on predetermined frameworks. Participants underwent an experimentally designed task that aimed at inducing stress while measuring their performance amidst time pressure and auditory distraction. Results indicate that working with automated agents causes individuals to alter their approach by focusing narrowly on immediate concerns - making it challenging for them to consider several options or see broader contexts accurately. Regardless of ability level participants' performances were influenced by these automated agents. Future research will explore how these findings interact with physiological signals. This study highlights the importance of developing effective coping strategies and the potential impact of social factors on individual performance under induced stress.
Text
978-1-958651-92-6
- Version of Record
Available under License Other.
More information
Published date: 27 November 2023
Venue - Dates:
AHFE International Conference on Human Factors in Design, Engineering and Computing, Hawaii, United States, 2023-12-04 - 2023-12-06
Keywords:
Induced stress, Individual performance, Time pressure, Human-agent,, Decision-making
Identifiers
Local EPrints ID: 485655
URI: http://eprints.soton.ac.uk/id/eprint/485655
PURE UUID: e9489eaf-e799-421c-b581-71501b9db1f6
Catalogue record
Date deposited: 13 Dec 2023 17:37
Last modified: 18 Mar 2024 03:01
Export record
Altmetrics
Contributors
Author:
Lokesh Singh
Author:
Gopal Ramchurn
Editor:
Jay Kalra
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics