Man-Machine Planning Systems: A Cognitive Style Examination of Interactive Decision Making

1977 ◽  
Vol 15 (1) ◽  
pp. 138 ◽  
Author(s):  
Miklos Antal Vasarhelyi
Keyword(s):  
Decision Making ◽  
Cognitive Style ◽  
Planning Systems ◽  
Interactive Decision Making ◽  
Machine Planning

Confirmation bias in decision making for fingerprints, DNA and eyewitness evidence cannot be explained by cognitive style or thinking dispositions.

2019 ◽  
Author(s):  
Daniel Edgcumbe
Keyword(s):  
Decision Making ◽  
Cognitive Style ◽  
Cognitive Biases ◽  
Confirmation Bias ◽  
Criminal Case ◽  
Court Cases ◽  
Legal Proceedings ◽  
Thinking Dispositions ◽  
Evaluation Of Evidence ◽  
Facial Composite

Pre-existing beliefs about the background or guilt of a suspect can bias the subsequent evaluation of evidence for forensic examiners and lay people alike. This biasing effect, called the confirmation bias, has influenced legal proceedings in prominent court cases such as that of Brandon Mayfield. Today many forensic providers attempt to train their examiners against these cognitive biases. Nine hundred and forty-two participants read a fictional criminal case and received either neutral, incriminating or exonerating evidence (fingerprint, eyewitness, or DNA) before providing an initial rating of guilt. Participants then viewed ambiguous evidence (alibi, facial composite, handwriting sample or informant statement) before providing a final rating of guilt. Final guilt ratings were higher for all evidence conditions (neutral, incriminating or exonerating) following exposure to the ambiguous evidence. This provides evidence that the confirmation bias influences the evaluation of evidence.

scholarly journals The influence of emotion regulation on social interactive decision-making.

Emotion ◽  
2010 ◽  
Vol 10 (6) ◽  
pp. 815-821 ◽  
Author(s):  
Mascha van't Wout ◽  
Luke J. Chang ◽  
Alan G. Sanfey
Keyword(s):  
Decision Making ◽  
Emotion Regulation ◽  
Interactive Decision Making

INTERACTIVE DECISION MAKING USING POSSIBILITY AND NECESSITY MEASURES FOR A FUZZY RANDOM MULTIOBJECTIVE 0–1 PROGRAMMING PROBLEM

2006 ◽  
Vol 37 (1) ◽  
pp. 59-74 ◽  
Author(s):  
Hideki Katagiri ◽  
Masatoshi Sakawa ◽  
Ichiro Nishizaki
Keyword(s):  
Decision Making ◽  
Programming Problem ◽  
Interactive Decision Making ◽  
Fuzzy Random

A RELATIONSHIP BETWEEN COGNITIVE STYLE AND COMPLEX DECISION MAKING; IMPLICATIONS FOR BUSINESS POLICY.

1972 ◽  
Vol 1972 (1) ◽  
pp. 95-98 ◽  
Author(s):  
OLof Lundberg ◽  
Max D. Richards
Keyword(s):  
Decision Making ◽  
Cognitive Style ◽  
Business Policy ◽  
Complex Decision Making ◽  
Complex Decision

Dynamics of Trust in Automation and Interactive Decision Making during Driving Simulation Tasks

2021 ◽  
Vol 65 (1) ◽  
pp. 786-790
Author(s):  
Lucero Rodriguez Rodriguez ◽  
Carlos Bustamante Orellana ◽  
Jayci Landfair ◽  
Corey Magaldino ◽  
Mustafa Demir ◽  
...  
Keyword(s):  
Decision Making ◽  
Automated System ◽  
Automated Driving ◽  
Safety And Efficacy ◽  
High Performing ◽  
Interactive Decision Making ◽  
Driving Task ◽  
Preliminary Study ◽  
Self Driving Cars ◽  
The Impact

As technological advancements and lowered costs make self-driving cars available to more people, it becomes important to understand the dynamics of human-automation interactions for safety and efficacy. We used a dynamical approach to examine data from a previous study on simulated driving with an automated driving assistant. To maximize effect size in this preliminary study, we focused the current analysis on the two lowest and two highest-performing participants. Our visual comparisons were the utilization of the automated system and the impact of perturbations. Low-performing participants toggled and maintained reliance either on automation or themselves for longer periods of time. Decision making of high-performing participants was using the automation briefly and consistently throughout the driving task. Participants who displayed an early understanding of automation capabilities opted for tactical use. Further exploration of individual differences and automation usage styles will help to understand the optimal human-automation-team dynamic and increase safety and efficacy.

Cognitive style and decision making

1989 ◽  
Vol 44 (3) ◽  
pp. 436-453 ◽  
Author(s):  
Raymond G Hunt ◽  
Frank J Krzystofiak ◽  
James R Meindl ◽  
Abdalla M Yousry
Keyword(s):  
Decision Making ◽  
Cognitive Style

A probabilistic model for interactive decision-making

1999 ◽  
Vol 25 (4) ◽  
pp. 289-308 ◽  
Author(s):  
Pierfrancesco Reverberi ◽  
Maurizio Talamo
Keyword(s):  
Decision Making ◽  
Probabilistic Model ◽  
Interactive Decision Making

scholarly journals Are Groups More Rational than Individuals? A Review of Interactive Decision Making in Groups

2012 ◽  
Author(s):  
Tamar Kugler ◽  
Edgar E. Kausel ◽  
Martin G. Kocher
Keyword(s):  
Decision Making ◽  
Interactive Decision Making

scholarly journals Highlighting space–time patterns: Effective visual encodings for interactive decision‐making

2007 ◽  
Vol 21 (8) ◽  
pp. 879-893 ◽  
Author(s):  
M. Sips ◽  
J. Schneidewind ◽  
D. A. Keim
Keyword(s):  
Decision Making ◽  
Space Time ◽  
Time Patterns ◽  
Interactive Decision Making
Sign in / Sign up

Export Citation Format

Share Document