Don Norman's book “Things that make us smart” has
Grudin’s Law: When
those who benefit are not those who do the work, then the technology is
likely to fail, or at least be subverted.
Amalberti's human error self-fulfilling prophecy: by
regarding the human as a risk factor and delegating all safety-critical
functions to technology as the presumed safety factor, the human is
actually turned into a risk factor.
Gary
Klein, Dave Snowden and Chew Lock Pin have listed 'useless advice'
regarding anticipatory thinking. 'Useless advice' is pretty spot-on for
anti-patterns. The useless advice is :
- Gather more data.
- Use information technology to help analyze the data.
- Reduce judgment biases.
- Encourage people to keep an open mind.
- Appoint “devil’s advocates” to challenge thinking.
- Encourage vigilance.
The
'devil's advocate' refers to a specific challenging role, rather than an
independent overview role. 'Encouraging vigilance' is about
vigilance not being a substitute for expertise, as opposed to
mindfulness training.
Robert Hoffman provides some laws about
Complex and Cognitive Systems (CACS). The laws are not quite
patterns/anti-patterns, but look capable of being worked into that
framework. Woods and Hollnagel have developed them into patterns for
Joint Cognitive Systems. A number of the laws relate to 'integration
work'. The following seem relevant:
The Penny Foolish Law: Any focus
on short-term cost considerations always comes with a hefty price down
the road, that weighs much more heavily on the
shoulders of the users than on the shoulders of project managers.
The
Cognitive Vacuum Law: When working as a part of a CACS, people
will perceive patterns and derive understandings and explanations,
and these are not
necessarily either veridical or faithful to the intentions of the designers. [bsj i.e. design intent needs to be explicit.]
Mr. Weasley’s Law: Humans should be supported in rapidly achieving a
veridical and useful understanding of the “intent” and “stance” of the
machines. Mr. Weasley states in the Harry Potter series, “Never trust
anything that can think for itself if you can’t see where it keeps its
brain.”
The
Law of Stretched Systems: CACSs are always stretched to their limits of
performance and adaptability. Interventions will always increase the
tempo
and intensity of activity.
Rasmussen’s Law: In cognitive
work within a CACS, people do not conduct tasks, they engage in
context-sensitive, knowledge-driven choice among action
sequence alternatives. [bsj This links to Amalberti's 'ecological risk management'.]
Dilbert's
Law: A human will not cooperate, or will not cooperate well with
another agent if it is assumed that the other agent is not
competent.
Law of Coordinative Entropy: Coordination costs,
continuously. The success of new technology depends on how the design
affects the ability to manage the costs of coordinating activity and
maintaining or repairing common ground.
Law of Systems as
Surrogates: Technology refl ects the stances, agendas, and goals of
those who design and deploy the technology. Designs, in turn, refl ect
the models and assumptions of distant parties about the actual diffi
culties in real operations. For this reason, design intent is usually
far removed from the actual conditions in which technology is used,
leading to costly gaps between these models of work and the “real work.”
The
Law of the Kludge: Work
systems always require workarounds, with
resultant kludges that attempt to bridge the gap between the original
design objectives and current realities or to reconcile conflicting
goals among workers.
The Law of Fluency: Well-adapted
cognitive work occurs with a facility that belies the difficulty of
resolving demands and balancing dilemmas. The adaptation process hides
the factors and constraints that are being adapted to or
around. Uncovering the constraints that fluent performance
solves, and therefore seeing the limits of or threats to fluency,
requires a contrast across perspectives.
Ned
Hickling has challenged the universality of 'strong, silent automation
is bad' i.e. Mr Weasley's Law does not apply all the time.
Disagreeing with Ned is fine. Just one problem. It means you are
wrong. A proper response will appear, but after some thoughts on
'autonomy'.
The answer is likely to make use of Grote's thinking
on zones of no control, whereby it is recognized that there are areas
of automation where the operator has no effective control (cf. Ironies
of Automation). For these zones, the operator is not held accountable,
and accountability is assigned to the design authority, the operating
organization or other agencies as appropriate.
"
It ain't what you don't know that gets you into trouble. It's what you know for sure that just ain't so." -- Mark Twain