Information-Processing Approaches to the Study of Cognitive Biases in Depression

1999 ◽  
pp. 131-156
2019 ◽  
Author(s):  
Sam Parsons ◽  
Charlotte Booth ◽  
Annabel Songco ◽  
Elaine Fox

The Combined Cognitive Bias Hypothesis proposes that emotional information processing biases associate with each other and may interact to conjointly influence mental health. Yet, little is known about the interrelationships amongst cognitive biases, particularly in adolescence. We used data from the CogBIAS longitudinal study (Booth et al. 2017), including 451 adolescents who completed measures of interpretation bias, memory bias, and a validated measure of general mental health in a typical population. We used a moderated network modelling approach to examine positive mental health related moderation of the cognitive bias network. Mental health was directly connected to positive and negative memory biases, and positive interpretation biases, but not negative interpretation biases. Further, we observed some mental health related moderation of the network structure. Network connectivity decreased with higher positive mental health scores. Network approaches allow us to model complex relationships amongst cognitive biases and develop novel hypotheses for future research.


Author(s):  
Gregory M. Hallihan ◽  
Hyunmin Cheong ◽  
L. H. Shu

The desire to better understand design cognition has led to the application of literature from psychology to design research, e.g., in learning, analogical reasoning, and problem solving. Psychological research on cognitive heuristics and biases offers another relevant body of knowledge for application. Cognitive biases are inherent biases in human information processing, which can lead to suboptimal reasoning. Cognitive heuristics are unconscious rules utilized to enhance the efficiency of information processing and are possible antecedents of cognitive biases. This paper presents two studies that examined the role of confirmation bias, which is a tendency to seek and interpret evidence in order to confirm existing beliefs. The results of the first study, a protocol analysis involving novice designers engaged in a biomimetic design task, indicate that confirmation bias is present during concept generation and offer additional insights into the influence of confirmation bias in design. The results of the second study, a controlled experiment requiring participants to complete a concept evaluation task, suggest that decision matrices are effective tools to reduce confirmation bias during concept evaluation.


2021 ◽  
pp. 11-30
Author(s):  
Elizabeth Anderson

Contemporary U.S. political discourse is distorted by “epistemic bubbles.” In social epistemology, an epistemic bubble is a self-segregated network for the circulation of ideas, resistant to correcting false beliefs. Dominant models of epistemic bubbles explain some of their features, but fail to account for their recent spread, increasing extremity, and asymmetrical distribution across political groups. The rise of populist authoritarian politics explains these recent changes. I propose two models of how populism creates epistemic bubbles or their functional equivalents: (1) by promulgating biased group norms of information processing; and (2) by replacing empirically-oriented policy discourse with an identity-expressive discourse of group status competition. Each model recommends different strategies for popping epistemic bubbles. My analysis suggests that social epistemology needs to get more social, by modeling cognitive biases as operating collectively and outside people’s heads, via group epistemic and discursive norms.


2019 ◽  
Vol 60 (3) ◽  
pp. 19-22
Author(s):  
Marion A. Weissenberger-Eibl ◽  
Tamara Huber

In order to secure a long-term competitive advantage in an increasingly complex world, information gathering, evaluation and exploitation is vital for uncovering future developments and dynamics in the corporate environment. The Strategic Foresight methods systematize the process of information processing, allowing a targeted look into the future. The benefits of such methods depend largely on the individuals who perform them. They may be subject to dysfunctional ways of thinking and behaving that evolves from mental models and the restricted ability of human information processing for coping with complexity and reflecting reality. On the one hand, the methods of Strategic Foresight contribute to the reduction of human dysfunctions, so called cognitive biases, by the approach design. On the other hand, the group composition of the employees involved and their degree of heterogeneity also have the potential to minimize biases. Applying approaches from cognitive science for human thinking in the field of Strategic Foresight outlines the contribution of foresight methods for reducing individual dysfunctions.


2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Anca Sfärlea ◽  
Linda Lukas ◽  
Gerd Schulte-Körne ◽  
Belinda Platt

Abstract Background Anorexia nervosa (AN) is characterized by dysfunctional cognitions including cognitive biases at various levels of information processing. However, less is known about the specificity of these biases, i.e., if they occur for eating-disorder-related information alone or also for non-eating-disorder-related emotional information in AN patients (content-specificity) and if they are unique to individuals with AN or are also shown by individuals with other mental disorders (disorder-specificity). Methods The present study systematically assesses cognitive biases in 12–18-year-old female adolescents with AN on three levels of information processing (attention, interpretation, and memory) and with regard to two types of information content (eating-disorder-related, i.e., stimuli related to body weight and shape, and non-eating-disorder-related). To address not only content- but also disorder-specificity, adolescents with AN will be compared not only to a healthy control group but also to a clinical control group (adolescents with major depression or particular anxiety disorders). Cognitive biases are assessed within a single experimental paradigm based on the Scrambled Sentences Task. During the task eye movements are recorded in order to assess attention biases while interpretation biases are derived from the behavioural outcome. An incidental free recall test afterwards assesses memory biases. We expect adolescents with AN to show more pronounced negative cognitive biases on all three levels of information processing and for both types of content compared to healthy adolescents. In addition, we expect the specificity of biases to translate into differential results for the two types of content: AN patients are expected to show stronger biases for disorder-related stimuli but similar or less pronounced biases for non-disorder-related stimuli compared to the clinical control group. Discussion This is the first study to comprehensively assess cognitive biases in adolescents with AN. It will have essential implications not only for cognitive-behavioural models of AN but also for subsequent studies aiming to modify cognitive biases in this population, thereby addressing important maintaining factors already at an early stage of the disorder.


2016 ◽  
Author(s):  
Falk Lieder ◽  
Tom Griffiths ◽  
Ming Hsu

People’s decisions and judgments are disproportionately swayed by improbable but extreme eventualities, such as terrorism, that come to mind easily. This article explores whether such availability biases can be reconciled with rational information processing by taking into account the fact that decision-makers value their time and have limited cognitive resources. Our analysis suggests that to make optimal use of their finite time decision-makers should over-represent the most important potential consequences relative to less important, put potentially more probable, outcomes. To evaluate this account we derive and test a model we call utility-weighted sampling. Utility-weighted sampling estimates the expected utility of potential actions by simulating their outcomes. Critically, outcomes with more extreme utilities have a higher probability of being simulated. We demonstrate that this model can explain not only people’s availability bias in judging the frequency of extreme events but also a wide range of cognitive biases in decisions from experience, decisions from description, and memory recall.


Cognitive biases can be produced by the constraints of information processing, as has been widely studied using different cognitive tasks both in clinical and healthy populations. Furthermore, these biases have been found in different areas of society (legal, economic, education, etc.) whose impact on the decision-making process is important. Often these biases help us make quick and appropriate decisions, but other times they lead to erroneous decisions. Within the cognitive biases due to inadequate processing of information, there are three main groups: perceptional bias, attentional bias, and memory bias. This chapter explains these three groups of cognitive biases. Subsequently, it offers a detailed explanation of some of the cognitive biases that have been studied in the fields of cognitive psychology. Finally, the author creates an alphabetical list of these biases and brief definitions.


Cognitive biases are a mistake in reasoning, evaluating, remembering, or other cognitive processes. They are mental errors caused by our simplified information processing strategies, and can be cultural, emotional, or intellectual predispositions toward a certain judgment, organizational bias, and bias that results from one's self-interest. The chapter explores some case studies in the foreign policy decision-making, distinguished in groupthink and polythink types, such as Pearl Harbor, Cuba Missile Crisis, Iraq Invasion of 2003, and post-9/11 environment.


2018 ◽  
Author(s):  
Anne-Wil Kruijt ◽  
Per Carlbring

Cognitive Bias Modification (CBM) refers to various computerized training protocols aimed at modifying individuals’ automatic information processing patterns (cognitive biases). CBM protocols are commonly regarded as potential new treatments, targeting cognitive biases believed to be involved in, amongst others, anxiety, depression, substance abuse, disordered eating, pain perception, and insomnia. Designed to reward response tendencies associated with more desired information processing patterns trough repeated practice, CBM tasks tend to rely on a (hidden) contingency between stimulus valence and response rewards. In CBM studies, active training conditions are typically contrasted with control conditions lacking the contingency, often called 50/50 placebo. This report focusses on the wide-spread, and intuitive, notion that pre-existing bias may affect the contingency experienced by an individual engaging in a 50/50 placebo control condition thereby inadvertently rendering the intended placebo condition more potent. Employing probabilistic reasoning we conclude that, contrary to the often-forwarded notion, pre-existing bias cannot increase the potency of a 50/50 placebo condition. In contrast, we arrived at the unforeseen conclusion that lack of pre-existing bias may render an active training condition functionally similar to a placebo condition. In this paper we develop these arguments, review literature with respect to our assumptions, and discuss implications.


Sign in / Sign up

Export Citation Format

Share Document