scholarly journals Decision speed for the choosing of the larger or the smaller of two digits

1969 ◽  
Vol 14 (4) ◽  
pp. 148-148 ◽  
Author(s):  
Benjamin A. Fairbank ◽  
Jack Capehart
Keyword(s):  
Decision Speed

Leader decision speed as a signal of honesty

2020 ◽  
pp. 101442
Author(s):  
Philippe P.F.M. Van de Calseyde ◽  
Anthony M. Evans ◽  
Evangelia Demerouti
Keyword(s):  
Decision Speed

Decision Outcomes in Sport: Influence of Type and Level of Stress

2020 ◽  
pp. 1-13
Author(s):  
Teri J. Hepler ◽  
Matt Andre
Keyword(s):  
Color Word ◽  
Mental Arithmetic ◽  
Physical Stress ◽  
Stress Conditions ◽  
Decision Quality ◽  
Decision Outcomes ◽  
Word Task ◽  
Physical Level ◽  
Decision Speed ◽  
Moderate Stress

In two experiments, the authors investigated the influence of stress type (i.e., low/no stress, mental, and physical), level (i.e., low, moderate, and high), and Type × Level interaction on intuitive decision frequency, decision quality, and decision speed. Participants were exposed to mental (i.e., color word task, mental arithmetic) and/or physical stress (i.e., running) and then required to make decisions regarding videotaped offensive situations in basketball. Intuitive decision frequency, decision quality, and decision speed were measured for each trial. Study 1 used a between-subjects design whereby 20 participants were randomly assigned to each of the five stress conditions. Results revealed that moderate stress was associated with faster decisions. Study 2 replicated the design and aim of Study 1 using a within-subject methodology (n = 42). Results suggested that moderate stress levels produced better, faster decisions. In conclusion, moderate levels of stress were associated with the most desirable decision outcomes.

scholarly journals Deciding Fast: Examining the Relationship between Strategic Decision Speed and Decision Quality across Multiple Environmental Contexts

2020 ◽  
Author(s):  
Neil Gareth Shepherd ◽  
Erik A. Mooi ◽  
Said Elbanna ◽  
John M. Rudd
Keyword(s):  
Strategic Decision ◽  
Decision Quality ◽  
Decision Speed ◽  
The Relationship

scholarly journals Decision Speed And Bias After Unilateral Stroke

Cortex ◽  
1982 ◽  
Vol 18 (3) ◽  
pp. 345-355 ◽  
Author(s):  
W.H. Riege ◽  
L.T. Mane ◽  
E.J. Metter ◽  
W.R. Hanson
Keyword(s):  
Decision Speed

THE 2002 BLUEBERRY HEALTH STUDY: EFFECTS OF DIET AND GENDER ON DECISION-SPEED AND SELF-REPORTED HEALTH

2003 ◽  
Vol 103 ◽  
pp. 50-51
Author(s):  
R. Martin ◽  
R. Schnoll ◽  
K.E. Gerstmann ◽  
J.A. Joseph ◽  
B. Kristal ◽  
...  
Keyword(s):  
Health Study ◽  
Reported Health ◽  
And Gender ◽  
Decision Speed

Confidence and decision speed in the revision of opinion

1968 ◽  
Vol 3 (2) ◽  
pp. 190-201 ◽  
Author(s):  
E. Scott Geller ◽  
Gordon F. Pitz
Keyword(s):  
Decision Speed

ANTECEDENTS AND OUTCOMES OF DECISION SPEED IN DIFFERENT ENVIRONMENTAL CONTEXT.

1991 ◽  
Vol 34 (2) ◽  
pp. 449-463 ◽  
Author(s):  
W. Q. Judge ◽  
A. Miller
Keyword(s):  
Environmental Context ◽  
Decision Speed

scholarly journals The Role of Passing Time in Decision-Making

2018 ◽  
Author(s):  
Nathan J. Evans ◽  
Guy Hawkins ◽  
Scott Brown
Keyword(s):  
Decision Making ◽  
Task Design ◽  
Perceptual Decision Making ◽  
Improve Performance ◽  
Decision Speed ◽  
Decision Environments ◽  
Threshold Amount ◽  
And Task ◽  
Response Deadlines

Theories of perceptual decision-making have been dominated by the idea that evidence accumulates in favor of different alternatives until some fixed threshold amount is reached, which triggers a decision. Recent theories have suggested that these thresholds may not be fixed during each decision, but change as time passes. These collapsing thresholds can improve performance in particular decision environments, but reviews of data from typical decision-making paradigms have failed to support collapsing thresholds. We designed three experiments to test collapsing threshold assumptions in decision environments specifically tailored to make them optimal. An emphasis on decision speed encouraged the adoption of collapsing thresholds – most strongly through the use of response deadlines, but also through instruction to a lesser extent – but setting an explicit goal of reward rate optimality through both instructions and task design did not. Our results provide a new explanation for previous findings regarding decision-making differences between humans and non-human primates.

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