Multiple cue probability learning and the design of information displays for multiple tasks

In recent years, the philosophy of Brunswik has been used as the basis for the research paradigm of multiple cue probability learning (MCPL). This chapter explains the findings from MCPL that suggest ways to structure and display information to simplify processing requirements. The additional cues a...

Full description

Saved in:
Bibliographic Details
Published inMultiple-task performance pp. 139 - 152
Main Authors Cuqlock-Knopp, V. Grayson, Wilkins, Charles A., Torgerson, Warren S.
Format Book Chapter
LanguageEnglish
Published CRC Press 1991
Edition1
Subjects
Lens Model
Judgment Performance
Cue Values
Multiple Task Situations
Letters Of Recommendation
Cue Information
Numerical Stimuli
Linear Cues
Follow
Holistic Stimuli
Cue Validities
Separable Stimuli
Brunswik’s Lens Model
Proximal Stimuli
Positive Cues
Task Predictability
Graphical Stimuli
Multiple Task Environment
Single Cue
MCPL
Held
Matching Behavior
Negative Cues
Multiple Task Performance
Subject’s Prediction
Online AccessGet full text
ISBN9780850667578
0850667577
DOI10.1201/9781003069447-8

Cover

More Information
Summary:In recent years, the philosophy of Brunswik has been used as the basis for the research paradigm of multiple cue probability learning (MCPL). This chapter explains the findings from MCPL that suggest ways to structure and display information to simplify processing requirements. The additional cues are presented to a subject increases the predictability of the criterion sufficiently to merit inclusion in the display. The operators are allowed to free some of their attention to perform other facets of the multiple tasks. MCPL, dealing as it does with variables that influence how and how well people learn to integrate information from several sources in order to perform tasks at a high level, can contribute to the solution of some of the problems arising in multiple-task situations.
ISBN:9780850667578
0850667577
DOI:10.1201/9781003069447-8