AlamL.MuellerS. T. (2022) Examining physicians’ explanatory reasoning in re-diagnosis scenarios for improving AI diagnostic systems, Journal of Cognitive Engineering and Decision Making, 16(2), 63–78. https://doi.org/10.1177/15553434221085114
2.
AppelgancK.RiegerT.RoeslerE.ManzeyD. (2022) How much reliability is enough? A context-specific view on human interaction with (artificial) agents from different perspectives, Journal of Cognitive Engineering and Decision Making, 16(4), 207–221. https://doi.org/10.1177/15553434221104615
3.
CzajaS. L.CarusoM. (2022) The promise of artificial intelligence in supporting an aging population, Journal of Cognitive Engineering and Decision Making, 16(4), 182–193.
4.
DortonS.HarperS. (2022) A naturalistic investigation of trust, AI, and intelligence work, Journal of Cognitive Engineering and Decision Making, 16(4), 222–236.
5.
EvensonS.MullerM.RothE. M. (2008) Capturing the context of use to inform system design. Journal of Cognitive Engineering and Decision Making, 12(3), 181–203. https://doi.org/10.1518/155534308X3770
6.
EzenyilimbaA.WongM.HehrA.DemirM.WolffA.ChiouE. (2023) The impact of transparency and explanations on trust and situation awareness in human-robot teams, Journal of Cognitive Engineering and Decision Making, 17(1).
7.
GarciaK. R.MishlerS.XiaoY.WangC.HuB.StillJ.ChenJ. (2022) Drivers’ understanding of artificial intelligence in autonomous vehicles: A case study of malicious stop signs, Journal of Cognitive Engineering and Decision Making, 16(4), 237–251. https://doi.org/10.1177/15553434221117001
8.
HollnagelE.BraithwaiteJ.WearsR. L. (Eds.). (2013) Resilient health care. Ashgate Publishing, Ltd.
9.
LeeJ.RheemH.LeeJ.SzczerbaJ.TsimhoniO. (2023) Framing human-AI teaming in highly automated vehicles, Journal of Cognitive Engineering and Decision Making, 17(1).
10.
RigoliL.PatilG.NalepkaP.KallenR.HoskingS.BestC.RichardsonM. (2022) A comparison of dynamical perceptual-motor primitives and deep reinforcement learning for human-artificial agent training systems, Journal of Cognitive Engineering and Decision Making, 16(2), 79–100. https://doi.org/10.1177/15553434221092930
11.
RodriguezS.ZaroukianE.AsherD.HoyeJ. (2023) A mediation approach to analyze performance and attitudes of human-agent teams in continuous pursuit tasks, Journal of Cognitive Engineering and Decision Making, 17(1).
12.
SalweiM. E.CarayonP. (2022) A sociotechnical systems framework for the application of artificial intelligence in health care delivery, Journal of Cognitive Engineering and Decision Making, 16(4), 194–206. https://doi.org/10.1177/15553434221097357
13.
SchneiderM.MillerM.McGuirlJ. (2023) Assessing operationalized intent for remotely piloted aircraft operators, Journal of Cognitive Engineering and Decision Making, 17(1).
14.
TextorC.ZhangR.LopezJ.SchelbleB. G.McNeeseN. J.FreemanG.PakR.de VisserE. JTossellC. (2022) Exploring the relationship between ethics and trust in human-ai teaming: A mixed methods approach, Journal of Cognitive Engineering and Decision Making, 16(4), 252–281. https://doi.org/10.1177/15553434221113964
15.
TokadlıG.DorneichM. (2022) Autonomy as a teammate: Evaluation of teammate-likeness, Journal of Cognitive Engineering and Decision Making, 16(4), 282–300. https://doi.org/10.1177/15553434221108002
16.
WalshS.FeighK. (2022) AI “mental model” of human decision processes: Inferring decision strategies from behavioral data, Journal of Cognitive Engineering and Decision Making, 16(4), 301–325.