Evidence accumulation modelling in the wild: Understanding safety-critical decisions
Evidence accumulation models (EAMs) are a class of computational cognitive model used to
understand the latent cognitive processes that underlie human decisions and response …
understand the latent cognitive processes that underlie human decisions and response …
Explainability does not mitigate the negative impact of incorrect AI advice in a personnel selection task
Despite the rise of decision support systems enabled by artificial intelligence (AI) in
personnel selection, their impact on decision-making processes is largely unknown …
personnel selection, their impact on decision-making processes is largely unknown …
Automated decision aids: When are they advisors and when do they take control of human decision making?
We applied a computational model to examine the extent to which participants used an
automated decision aid as an advisor, as compared to a more autonomous trigger of …
automated decision aid as an advisor, as compared to a more autonomous trigger of …
[HTML][HTML] Can increased automation transparency mitigate the effects of time pressure on automation use?
M Tatasciore, S Loft - Applied Ergonomics, 2024 - Elsevier
A factor that can potentially negatively impact the accuracy of automated decision aid use,
and increase perceived workload, is time pressure. Increased automation transparency can …
and increase perceived workload, is time pressure. Increased automation transparency can …
Reducing the costs of automation failure by providing voluntary automation checking tools
Objective We investigated the extent to which a voluntary-use range and bearing line (RBL)
tool improves return-to-manual performance when supervising high-degree conflict …
tool improves return-to-manual performance when supervising high-degree conflict …
Identifying inefficient strategies in automation-aided signal detection.
L Tikhomirov, ML Bartlett, J Duncan-Reid… - Journal of …, 2023 - psycnet.apa.org
Automated diagnostic aids can assist human operators in signal detection tasks, providing
alarms, warnings, or diagnoses. Operators often use decision aids poorly, though, falling …
alarms, warnings, or diagnoses. Operators often use decision aids poorly, though, falling …
Accelerating Understanding of Human Response to Automation Failure
S Loft - Journal of Cognitive Engineering and Decision …, 2024 - journals.sagepub.com
Firstly, I comment on the lack of support for the predictions of the lumberjack model to
professionally qualified operators in high-fidelity work simulations (Jamieson & Skraaning …
professionally qualified operators in high-fidelity work simulations (Jamieson & Skraaning …
Transparency improves the accuracy of automation use, but automation confidence information does not
M Tatasciore, L Strickland, S Loft - Cognitive Research: Principles and …, 2024 - Springer
Increased automation transparency can improve the accuracy of automation use but can
lead to increased bias towards agreeing with advice. Information about the automation's …
lead to increased bias towards agreeing with advice. Information about the automation's …
How do humans learn about the reliability of automation?
In a range of settings, human operators make decisions with the assistance of automation,
the reliability of which can vary depending upon context. Currently, the processes by which …
the reliability of which can vary depending upon context. Currently, the processes by which …
When the going gets tough: The efficiency of automation-aided signal detection declines with task difficulty
Automated diagnostic aids can assist human operators in signal detection tasks, providing
alarms, warnings, or diagnoses. Operators often use decision aids poorly, though, falling …
alarms, warnings, or diagnoses. Operators often use decision aids poorly, though, falling …