Literature DB >> 25141592

Measures of reliance and compliance in aided visual scanning.

Joachim Meyer, Rebecca Wiczorek, Torsten Günzler.   

Abstract

OBJECTIVE: We study the dependence or independence of reliance and compliance as two responses to alarms to understand the mechanisms behind these responses.
BACKGROUND: Alarms, alerts, and other binary cues affect user behavior in complex ways. The suggestion has been made that there are two different responses to alerts--compliance (the tendency to perform an action cued by the alert) and reliance (the tendency to refrain from actions as long as no alert is issued). The study tests the degree to which these two responses are indeed independent.
METHOD: An experiment tested the effects of the positive and negative predictive values of the alerts (PPV and NPV) on measures of compliance and reliance based on cutoff settings, response times, and subjective confidence.
RESULTS: For cutoff settings and response times, compliance was unaffected by the irrelevant NPV, whereas reliance depended on the irrelevant PPV. For subjective estimates, there were no significant effects of the irrelevant variables.
CONCLUSION: Results suggest that compliance is relatively stable and unaffected by irrelevant information (the NPV), whereas reliance is also affected by the PPV. The results support the notion that reliance and compliance are separate, but related, forms of trust. APPLICATION: False alarm rates, which affect PPV, determine both the response to alerts (compliance) and the tendency to limit precautions when no alert is issued (reliance).

Mesh:

Year:  2014        PMID: 25141592     DOI: 10.1177/0018720813512865

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


  6 in total

1.  A two-stage clinical decision support system for early recognition and stratification of patients with sepsis: an observational cohort study.

Authors:  Robert C Amland; Jason J Lyons; Tracy L Greene; James M Haley
Journal:  JRSM Open       Date:  2015-10-08

2.  Sepsis surveillance: an examination of parameter sensitivity and alert reliability.

Authors:  Robert C Amland; Mark Burghart; J Marc Overhage
Journal:  JAMIA Open       Date:  2019-06-11

3.  Judging One's Own or Another Person's Responsibility in Interactions With Automation.

Authors:  Nir Douer; Joachim Meyer
Journal:  Hum Factors       Date:  2020-08-04       Impact factor: 2.888

Review 4.  From Trust in Automation to Decision Neuroscience: Applying Cognitive Neuroscience Methods to Understand and Improve Interaction Decisions Involved in Human Automation Interaction.

Authors:  Kim Drnec; Amar R Marathe; Jamie R Lukos; Jason S Metcalfe
Journal:  Front Hum Neurosci       Date:  2016-06-30       Impact factor: 3.169

5.  A Multidisciplinary Sepsis Program Enabled by a Two-Stage Clinical Decision Support System: Factors That Influence Patient Outcomes.

Authors:  Robert C Amland; James M Haley; Jason J Lyons
Journal:  Am J Med Qual       Date:  2015-10-21       Impact factor: 1.852

6.  External Human-Machine Interfaces Can Be Misleading: An Examination of Trust Development and Misuse in a CAVE-Based Pedestrian Simulation Environment.

Authors:  Anees Ahamed Kaleefathullah; Natasha Merat; Yee Mun Lee; Yke Bauke Eisma; Ruth Madigan; Jorge Garcia; Joost de Winter
Journal:  Hum Factors       Date:  2020-11-26       Impact factor: 3.598

  6 in total

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