This page lists the issues identified in our study in alphabetical order of abbreviated issue statement. Each issue is linked to a page containing its complete issue statement and the evidence related to it found in the analysis of our flight deck automation expert survey.
A |
|
| automation behavior may be
unexpected and unexplained (issue108) |
EVIDENCE |
| automation information in manuals may be
inadequate (issue140) |
EVIDENCE |
| automation integration may be poor (issue011) |
EVIDENCE |
| automation level decisions may be difficult
(issue103) |
EVIDENCE |
| automation may adversely affect pilot workload (issue079) |
EVIDENCE |
| automation may be over-emphasized in pilot
evaluation (issue116) |
EVIDENCE |
| automation may be too complex (issue040) |
EVIDENCE |
| automation may demand attention (issue102) |
EVIDENCE |
| automation may lack reasonable functionality
(issue109) |
EVIDENCE |
| automation may not work well under unusual
conditions (issue150) |
EVIDENCE |
| automation may use different control strategies
than pilots (issue122) |
EVIDENCE |
| automation performance may be limited
(issue126) |
EVIDENCE |
| automation requirements may conflict (issue160) |
EVIDENCE |
| automation skills may be lost (issue137) |
EVIDENCE |
| automation use may slow pilot responses
(issue161) |
EVIDENCE |
| automation use philosophy may be lacking
(issue101) |
EVIDENCE |
B |
|
| behavior of automation may not be apparent
(issue083) |
EVIDENCE |
| both pilots' attention simultaneously diverted
by programming (issue075) |
EVIDENCE |
C |
|
| commercial incentives may dominate (issue127) |
EVIDENCE |
| communication between computers may be
unsupervised (issue022) |
EVIDENCE |
| complex automation may have overly simplistic
interface (issue128) |
EVIDENCE |
| controls of automation may be poorly designed
(issue037) |
EVIDENCE |
| crew assignment may be inappropriate (issue142) |
EVIDENCE |
| crew coordination problems may occur (issue084) |
EVIDENCE |
| cross checking may be difficult (issue072) |
EVIDENCE |
| cultural differences may not be considered
(issue165) |
EVIDENCE |
D |
|
| data access may be difficult (issue047) |
EVIDENCE |
| data entry and programming may be difficult and
time consuming (issue112) |
EVIDENCE |
| data entry errors on keyboards may occur
(issue071) |
EVIDENCE |
| data presentation may be too abstract
(issue087) |
EVIDENCE |
| data re-entry may be required (issue049) |
EVIDENCE |
| database may be erroneous or incomplete
(issue110) |
EVIDENCE |
| deficiencies in basic aircraft training may
exist (issue063) |
EVIDENCE |
| displays (visual and aural) may be poorly
designed (issue092) |
EVIDENCE |
F |
|
| failure assessment may be difficult (issue025) |
EVIDENCE |
| failure modes may be unanticipated by designers
(issue024) |
EVIDENCE |
| failure recovery may be difficult (issue023) |
EVIDENCE |
| false alarms may be frequent (issue070) |
EVIDENCE |
| fatigue may be induced (issue156) |
EVIDENCE |
| flightdeck automation may be incompatible with
ATC system (issue082) |
EVIDENCE |
| function allocation may be difficult (issue117) |
EVIDENCE |
H |
|
| human-centered design philosophy may be lacking
(issue100) |
EVIDENCE |
I |
|
| inadvertent autopilot disengagement may be too
easy (issue123) |
EVIDENCE |
| information integration may be required
(issue009) |
EVIDENCE |
| information overload may exist (issue014) |
EVIDENCE |
| information processing load may be increased
(issue119) |
EVIDENCE |
| instructor training requirements may be
inadequate (issue143) |
EVIDENCE |
| insufficient information may be displayed
(issue099) |
EVIDENCE |
| interface may be poorly designed (issue039) |
EVIDENCE |
| inter-pilot communication may be reduced
(issue139) |
EVIDENCE |
J |
|
| job satisfaction may be reduced (issue013) |
EVIDENCE |
M |
|
| manual operation may be difficult after
transition from automated control (issue055) |
EVIDENCE |
| manual skills may be lost (issue065) |
EVIDENCE |
| manual skills may not be acquired (issue007) |
EVIDENCE |
| mode awareness may be lacking (issue095) |
EVIDENCE |
| mode selection may be incorrect (issue145) |
EVIDENCE |
| mode transitions may be uncommanded (issue044) |
EVIDENCE |
| monitoring requirements may be excessive
(issue005) |
EVIDENCE |
N |
|
| new tasks and errors may exist (issue089) |
EVIDENCE |
| non-automated pilot tasks may not be integrated
(issue153) |
EVIDENCE |
O |
|
| older pilots may be less accepting of
automation (issue132) |
EVIDENCE |
| operational knowledge may be lacking in design
(issue121) |
EVIDENCE |
P |
|
| pilot control authority may be diffused
(issue104) |
EVIDENCE |
| pilot selection may be more difficult
(issue136) |
EVIDENCE |
| pilots have responsibility but may lack
authority (issue012) |
EVIDENCE |
| pilots may be out of the loop (issue002) |
EVIDENCE |
| pilots may be overconfident in automation
(issue131) |
EVIDENCE |
| pilots may be reluctant to assume control
(issue026) |
EVIDENCE |
| pilots may lack confidence in automation
(issue046) |
EVIDENCE |
| pilots may not be involved in equipment
selection (issue141) |
EVIDENCE |
| pilots may over-rely on automation (issue106) |
EVIDENCE |
| pilots may under-rely on automation (issue146) |
EVIDENCE |
| pilot's role may be changed (issue144) |
EVIDENCE |
| planning requirements may be increased
(issue158) |
EVIDENCE |
| procedures may assume automation (issue151) |
EVIDENCE |
| protections may be lost though pilots continue
to rely on them (issue015) |
EVIDENCE |
S |
|
| scan pattern may change (issue038) |
EVIDENCE |
| similarity may be superficial (issue149) |
EVIDENCE |
| situation awareness may be reduced (issue114) |
EVIDENCE |
| software versions may proliferate (issue134) |
EVIDENCE |
| standardization may be lacking (issue138) |
EVIDENCE |
| state prediction may be lacking (issue152) |
EVIDENCE |
T |
|
| testing may be inadequate (issue115) |
EVIDENCE |
| traffic coordination requirements may increase
(issue148) |
EVIDENCE |
| training may be inadequate (issue133) |
EVIDENCE |
| transitioning between aircraft may increase
errors (issue130) |
EVIDENCE |
| transitioning between aircraft may increase
training requirements (issue129) |
EVIDENCE |
U |
|
| understanding of automation may be inadequate
(issue105) |
EVIDENCE |
V |
|
| vertical profile visualization may be difficult
(issue053) |
EVIDENCE |
W |
|
| workarounds may be necessary (issue107) |
EVIDENCE |