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Evidence for an Issue 3 pieces of evidence for this issue.

data presentation may be too abstract (Issue #87) - Data presented in integrated/processed/simplified forms may not fully support effective pilot decision making and pilots may lose sight of raw data..

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  2. Evidence Type: Excerpt from resource
    Evidence: "One of the features of human problem solving is the tendency we have to connect any two events occurring simultaneously (or nearly simultaneously) as arising from the same cause (Tversky & Kahneman, 1974). Further, it may be that the primary cause in many cases will not be the first failure to be communicated. The crew must, therefore, either recognize the pattern of failing secondary systems or sift through the warning information to seek the primary cause. In terms of presentation of warning information, this poses a difficult problem to address; the first failure to be brought to the crew’s attention is likely to be the one they attempt to deal with initially. This issue was addressed via the following two statements: 1. There is a clear rationale for the classification of warning conditions into categories (e.g., warning, caution, and advisory).... Analyses of the responses to these statements do not follow an obvious pattern. For the first statement, the mean response was 2.54 (SD = 1.98), with crew from the Type A fleets showing greater disagreement with this statement about a clear rationale." (page 181)
    Strength: -1
    Aircraft: various
    Equipment: automation: displays
    Source: Johnston, A.N., Rushby, N., & Maclean, I. (2000). An assistant for crew performance assessment. International Journal of Aviation Psychology, 10(1), 99-108. Lawrence Erlbaum Associates. See Resource details

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  4. Evidence Type: Excerpt from Survey
    Evidence: 13 of the 30 (43%) respondents reported a 4 (= agree) or 5 (= strongly agree) with pc087 data may be too abstract
    Strength: +2
    Aircraft: unspecified
    Equipment: automation
    Source: Lyall, E., Niemczyk, M. & Lyall, R. (1996). Evidence for flightdeck automation problems: A survey of experts. See Resource details

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  6. Evidence Type: Excerpt from Survey
    Evidence: 4 of the 30 (13%) respondents reported a 1 (=strongly disagree) or a 2 (=disagree) with pc087 data may be too abstract
    Strength: -1
    Aircraft: unspecified
    Equipment: automation
    Source: Lyall, E., Niemczyk, M. & Lyall, R. (1996). Evidence for flightdeck automation problems: A survey of experts. See Resource details
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