To investigate the response to suboptimal outcomes, Verbuggen et al. (Verbruggen F, Chambers CD, Lawrence NS, McLaren IPL. 2017 Winning and losing: effects on impulsive action. J. Exp. Psychol.: Hum. Percept. Perform. 43 , 147. ( doi:10.1037/xhp0000284 )) conducted a study in which participants chose between a gamble and a non-gamble option. The non-gamble option was a guaranteed amount of points, whereas the gamble option was associated with a higher amount but a lower probability of winning. The authors observed that participants initiated the next trial faster after a loss compared to wins or non-gambles. In the present study, we directly replicated these findings in the laboratory and online. We also designed another task controlling for the number of trials per outcome. In this task, participants guessed where a reward was hidden. They won points if they selected the correct location, but lost points if they selected the incorrect location. We included neutral trials as a baseline. Again, participants sped up after a loss relative to wins and neutral trials (but only with a response choice in neutral trials and a large sample size). These findings appear inconsistent with cognitive-control frameworks, which assume that suboptimal outcomes typically lead to slower responses; instead, they suggest that suboptimal outcomes can invigorate behaviour, consistent with accounts of frustrative non-reward and impulsive action.
In this pre-registered study, we tried to replicate the study by Rigoni et al. 2013 Cognition 127 , 264–269. In the original study, the authors manipulated the participants’ belief in free will in a between-subject design and subsequently measured post-error slowing (i.e. slower responses after an incorrect trial compared with a correct trial) as a marker of cognitive control. They found less post-error slowing in the group with reduced belief in free will (anti-free will group) compared with a control group in which belief in free will was not manipulated. In the present study, we used the same task procedure and the same free will manipulation (Crick text) in an attempt to replicate these findings. However, we used an online procedure and a larger sample size in order to address concerns about statistical power. Similar to the original study, we also used a questionnaire to measure beliefs in free will as an independent manipulation check. We found a difference in the scores on the questionnaire, thus a reduced belief in free will, after reading the Crick text. However, we did not find any difference in post-error slowing between the anti-free will and control groups. Our findings are in line with several other recent findings suggesting that the Crick text manipulation affects the participants’ self-reported belief in free will but not their behaviour. The present study can be considered a high-powered failed replication attempt.
Bilingual models diverge in whether they assume that language control is domain general. Most studies that investigated this claim focused on bilingual language production and relied on the comparison between language switching and task switching. In the current study, we set out to investigate whether language control is domain general in a different context (i.e., bilingual language comprehension) and with a different paradigm (i.e., the flanker task). To this end, we let French-English bilinguals perform a bilingual (flankers are words from the same or different language as the target word) and a non-linguistic (numerical magnitude with digits) flanker task. The results showed that there was no difference in the language congruency effect between participants with a high and low non-linguistic congruency effect. These results indicate that there is no substantial overlap in the mechanisms involved in comprehension-based language control and executive control.
This critical review elaborates on the origin of impulsive actions and how these can be controlled. We focus in particular on the role of negative events. First, we outline how impulsive actions often originate from negative events that are (emotionally) appraised. A discrepancy between this current state and a desired goal state leads to action tendencies. The urgency of the resulting action depends on the importance of the goal and the size of the discrepancy. Second, we discuss how such impulsive actions can be regulated or controlled e.g. by biasing competition between different options, or by completely suppressing all motor output. Importantly, such control mechanisms might also depend on emotional factors. To reconcile these findings, we present a coherent theoretical framework, taking into account various cognitive, affective, and motivational mechanisms as well as contextual factors that play a crucial role in the origin and control of impulsive actions.
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