2019
DOI: 10.1016/j.brainres.2019.05.039
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Ready, set, explore! Event-related potentials reveal the time-course of exploratory decisions

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Cited by 7 publications
(3 citation statements)
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References 54 publications
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“…This work is consistent with the body of literature that shows that cognitive conflict mechanisms can be induced when humans interact with robots (Abubshait, Parenti, et al, 2022;Perez-Osorio et al, 2021). Moreover, these data add to the literature showing that cognitive conflict processes, which are implicated in gambling paradigms (Hassall et al, 2019), are employed differently when people act on behalf of themselves vs. on behalf of artificial machines. This is of high importance to Human Factors as it illustrates that we can implicitly measure attitudes towards human and nonhuman agents (i.e,.…”
Section: Discussionsupporting
confidence: 90%
“…This work is consistent with the body of literature that shows that cognitive conflict mechanisms can be induced when humans interact with robots (Abubshait, Parenti, et al, 2022;Perez-Osorio et al, 2021). Moreover, these data add to the literature showing that cognitive conflict processes, which are implicated in gambling paradigms (Hassall et al, 2019), are employed differently when people act on behalf of themselves vs. on behalf of artificial machines. This is of high importance to Human Factors as it illustrates that we can implicitly measure attitudes towards human and nonhuman agents (i.e,.…”
Section: Discussionsupporting
confidence: 90%
“…In order to create data driven analysis windows, window‐widths were based on the 50% amplitude of each component (Hassall et al., 2019). For theta, the latency analysis determined that there were significant latency shifts between correct trials, corrected error trials, and uncorrected error trials.…”
Section: Methodsmentioning
confidence: 99%
“…Analysis windows were constructed on an individual participant basis in order to better capture each component at the single-trial level. To create analysis window widths that were data driven, we elected to create a windowwidth based on the 50% amplitude of the component (Hassall, McDonald, & Krigolson, 2019). The averaged window width across participants was computed to be from approximately −6 ms to 78 ms for the ERN and −110 ms to 258 ms for theta power.…”
Section: Eeg Data Acquisition and Processingmentioning
confidence: 99%