Literature DB >> 24847184

The Effect of Information Analysis Automation Display Content on Human Judgment Performance in Noisy Environments.

Ellen J Bass1, Leigh A Baumgart1, Kathryn Klein Shepley1.   

Abstract

Displaying both the strategy that information analysis automation employs to makes its judgments and variability in the task environment may improve human judgment performance, especially in cases where this variability impacts the judgment performance of the information analysis automation. This work investigated the contribution of providing either information analysis automation strategy information, task environment information, or both, on human judgment performance in a domain where noisy sensor data are used by both the human and the information analysis automation to make judgments. In a simplified air traffic conflict prediction experiment, 32 participants made probability of horizontal conflict judgments under different display content conditions. After being exposed to the information analysis automation, judgment achievement significantly improved for all participants as compared to judgments without any of the automation's information. Participants provided with additional display content pertaining to cue variability in the task environment had significantly higher aided judgment achievement compared to those provided with only the automation's judgment of a probability of conflict. When designing information analysis automation for environments where the automation's judgment achievement is impacted by noisy environmental data, it may be beneficial to show additional task environment information to the human judge in order to improve judgment performance.

Entities:  

Keywords:  automation display content; human-automated judge learning; human-automation interaction; judgment analysis

Year:  2013        PMID: 24847184      PMCID: PMC4024426          DOI: 10.1177/1555343412453461

Source DB:  PubMed          Journal:  J Cogn Eng Decis Mak        ISSN: 1555-3434


  9 in total

1.  A model for types and levels of human interaction with automation.

Authors:  R Parasuraman; T B Sheridan; C D Wickens
Journal:  IEEE Trans Syst Man Cybern A Syst Hum       Date:  2000-05

2.  Supporting decision making and action selection under time pressure and uncertainty: the case of in-flight icing.

Authors:  N B Sarter; B Schroeder
Journal:  Hum Factors       Date:  2001       Impact factor: 2.888

Review 3.  Ecological interface design: progress and challenges.

Authors:  Kim J Vicente
Journal:  Hum Factors       Date:  2002       Impact factor: 2.888

4.  A SUGGESTED ALTERNATIVE FORMULATION IN THE DEVELOPMENTS BY HURSCH, HAMMOND, AND HURSCH, AND BY HAMMOND, HURSCH, AND TODD.

Authors:  L R TUCKER
Journal:  Psychol Rev       Date:  1964-11       Impact factor: 8.934

5.  SOME METHODOLOGICAL CONSIDERATIONS IN MULTIPLE-CUE PROBABILITY STUDIES.

Authors:  C J HURSCH; K R HAMMOND; J L HURSCH
Journal:  Psychol Rev       Date:  1964-01       Impact factor: 8.934

6.  Level of automation effects on performance, situation awareness and workload in a dynamic control task.

Authors:  M R Endsley; D B Kaber
Journal:  Ergonomics       Date:  1999-03       Impact factor: 2.778

Review 7.  The right picture is worth a thousand numbers: data displays in anesthesia.

Authors:  Frank A Drews; Dwayne R Westenskow
Journal:  Hum Factors       Date:  2006       Impact factor: 2.888

8.  Effects of imperfect automation on decision making in a simulated command and control task.

Authors:  Ericka Rovira; Kathleen McGarry; Raja Parasuraman
Journal:  Hum Factors       Date:  2007-02       Impact factor: 2.888

9.  Automated fault-management in a simulated spaceflight micro-world.

Authors:  Bernd Lorenz; Francesco Di Nocera; Stefan Röttger; Raja Parasuraman
Journal:  Aviat Space Environ Med       Date:  2002-09
  9 in total
  1 in total

1.  Effect of pooled comparative information on judgments of quality.

Authors:  Leigh A Baumgart; Ellen J Bass; John D Voss; Jason A Lyman
Journal:  IEEE Trans Hum Mach Syst       Date:  2015-08-05       Impact factor: 2.968

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.