Results 171 to 180 of about 6,437 (212)

Framing effect debiasing in medical decision making [PDF]

open access: yesPatient Education and Counseling, 2008
Objective Numerous studies have demonstrated the robustness of the framing effect in a variety of contexts. The present study investigated the effects of a debiasing procedure designed to prevent the framing effect for young adults who made decisions ...
Barry Edelstein   +2 more
exaly   +1 more source

Who benefits from debiasing?

open access: yesCognition
Reasoning errors significantly impede sound decision-making. Despite advancements in debiasing interventions designed to improve reasoning, not all individuals benefit from these approaches.
Gordon Pennycook, Esther Boissin
exaly   +2 more sources

Biasing, Debiasing, and the Law

SSRN Electronic Journal, 2013
In this chapter, we build on the existing literature on the use of legal strategies for addressing problems of biased judgment and behavior, exploring how heuristics and biases may be exploited to foster efficiency in the presence of other incentive alignment problems.
Barbara Luppi   +2 more
openaire   +2 more sources

Debiasing social wisdom

Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, 2013
With the explosive growth of social networks, many applications are increasingly harnessing the pulse of online crowds for a variety of tasks such as marketing, advertising, and opinion mining. An important example is the wisdom of crowd effect that has been well studied for such tasks when the crowd is non-interacting.
Abhimanyu Das   +3 more
openaire   +1 more source

When debiasing backfires: Accessible content and accessibility experiences in debiasing hindsight.

Journal of Experimental Psychology: Learning, Memory, and Cognition, 2002
Two studies demonstrated that attempts to debias hindsight by thinking about alternative outcomes may backfire and traced this to the influence of subjective accessibility experiences. Participants listed either few (2) or many (10) thoughts about how an event might have turned out otherwise.
Lawrence J, Sanna   +2 more
openaire   +2 more sources

Debiasing of SRAM PUFs: Selection and Balancing

2019 IEEE International Workshop on Information Forensics and Security (WIFS), 2019
Fuzzy commitment is used to bind a secret key to an SRAM-PUF observation vector. The fuzzy commitment scheme is secure as long as the observation vector has full entropy. Here, we assume that the observation vectors are biased, and explore two elementary schemes for debiasing: Selection and balancing.
Kusters, Lieneke, Willems, Frans M.J.
openaire   +2 more sources

Home - About - Disclaimer - Privacy