scholarly journals Reducing Implicit Racial Preferences: III. A Process-Level Examination of Changes in Implicit Preferences

2020 ◽  
Author(s):  
Jimmy Calanchini ◽  
Calvin K. Lai ◽  
Karl Christoph Klauer

Implicit bias change was initially assumed to reflect changes in associations, but subsequent research demonstrated that implicit bias change can also reflect changes in control-oriented processes that constrain the expression of associations. The present research examines the process-level effects of 17 different implicit bias-reduction interventions and one sham intervention by analyzing data from more than 20,000 participants who completed an intervention condition or a baseline control condition followed by a race Implicit Association Test (IAT). To identify the processes influenced by each intervention, we applied the Quadruple process model to participants’ IAT responses then meta-analyzed parameter estimates according to a taxonomy of interventions based on shared features. Interventions that relied on counterstereotypic exemplars or strategies to override biases influenced both associations and control-oriented processes, whereas interventions that relied on evaluative conditioning influenced only control-oriented processes. In contrast, interventions that focused on egalitarian values, perspective taking, or emotion had no reliable influence on any of the processes examined. When interventions did change associations, they were much more likely to reduce positive White associations than negative Black associations. The present research extends upon traditional dual-process perspectives by identifying robust intervention effects on response biases. These findings connect features of interventions with changes in the processes underlying implicit bias.

Author(s):  
Klaus Rothermund ◽  
Jochen Brandtstädter ◽  
Christian Meiniger ◽  
Fernand Anton

Abstract. Effects of perceived control on nociceptive sensitivity were investigated in an experimental arrangement with N = 40 healthy volunteers in which the duration of painful pressure stimuli was made contingent on success in a tracking task. Perceived control over the pain duration was manipulated through varying the frequency of success in the tracking task. The amount of painful stimulation applied in the high and low control conditions was balanced by a yoked-control design. Pain sensitivity was measured before and after the tracking task by means of a thermal sensory analyzer. Pain sensitivity was found to decrease in the low control condition (hypoalgesia), and to increase slightly in the high control condition (hyperalgesia). These effects are explained with reference to a dual process model of coping.


2018 ◽  
Vol 1 (2) ◽  
pp. 9-14
Author(s):  
Marisol Cervantes-Bobadilla ◽  
Ricardo Fabricio Escobar Jiménez ◽  
José Francisco Gómez Aguilar ◽  
Tomas Emmanuel Higareda Pliego ◽  
Alberto Armando Alvares Gallegos

In this research, an alkaline water electrolysis process is modelled. The electrochemical electrolysis is carried out in an electrolyzer composed of 12 series-connected steel cells with a solution 30% wt of potassium hydroxide. The electrolysis process model was developed using a nonlinear identification technique based on the Hammerstein structure. This structure consists of a nonlinear static block and a linear dynamic block. In this work, the nonlinear static function is modelled by a polynomial approximation equation, and the linear dynamic is modelled using the ARX structure. To control the current feed to the electrolyzer an unconstraint predictive controller was implemented, once the unconstrained MPC was simulated, some restrictions are proposed to design a constrained MPC (CMPC). The CMPC aim is to reduce the electrolyzer's energy consumption (power supply current). Simulation results showed the advantages of using the CMPC since the energy (current) overshoots are avoided.


Relay Journal ◽  
2019 ◽  
Author(s):  
Sam Morris

Teachers and advisors involved in the emotional business of language education feel frustrated from time to time, and if such emotions are not managed healthily, they may lead to negative outcomes such as stress and burnout. One important system for taking control of frustration is emotion regulation, the cognitive and behavioural strategies through which individuals manage their emotions. In this short article, I define frustration and discuss its negative impact on the language classroom. I then introduce a structured reflective journaling tool, built upon Gross’s Process model of emotion regulation (Gross, 2014, 2015) which may help teachers and advisors develop greater awareness and control over experiences of frustration.


SPIEL ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 121-145
Author(s):  
Larissa Leonhard ◽  
Anne Bartsch ◽  
Frank M. Schneider

This article presents an extended dual-process model of entertainment effects on political information processing and engagement. We suggest that entertainment consumption can either be driven by hedonic, escapist motivations that are associated with a superficial mode of information processing, or by eudaimonic, truth-seeking motivations that prompt more elaborate forms of information processing. This framework offers substantial extensions to existing dual-process models of entertainment by conceptualizing the effects of entertainment on active and reflective forms of information seeking, knowledge acquisition and political participation.


2021 ◽  
pp. 016555152098549
Author(s):  
Donghee Shin

The recent proliferation of artificial intelligence (AI) gives rise to questions on how users interact with AI services and how algorithms embody the values of users. Despite the surging popularity of AI, how users evaluate algorithms, how people perceive algorithmic decisions, and how they relate to algorithmic functions remain largely unexplored. Invoking the idea of embodied cognition, we characterize core constructs of algorithms that drive the value of embodiment and conceptualizes these factors in reference to trust by examining how they influence the user experience of personalized recommendation algorithms. The findings elucidate the embodied cognitive processes involved in reasoning algorithmic characteristics – fairness, accountability, transparency, and explainability – with regard to their fundamental linkages with trust and ensuing behaviors. Users use a dual-process model, whereby a sense of trust built on a combination of normative values and performance-related qualities of algorithms. Embodied algorithmic characteristics are significantly linked to trust and performance expectancy. Heuristic and systematic processes through embodied cognition provide a concise guide to its conceptualization of AI experiences and interaction. The identified user cognitive processes provide information on a user’s cognitive functioning and patterns of behavior as well as a basis for subsequent metacognitive processes.


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