Cognitive Systems Engineering Opens the Door to New Possibilties | Layla Akilan | TEDxDayton
Summary
TLDRThis video explores the impact of bad design, using the Three Mile Island nuclear accident as a prime example. Poor system design, including confusing alarms and misleading data, contributed to the disaster. It highlights the need for user-centered design and cognitive systems engineering to improve human-machine interaction. By studying how humans think and work, we can create better systems that support decision-making, prevent errors, and enhance human performance. The video calls for a broader perspective in technology design, focusing on both users and the systems they interact with.
Takeaways
- π€ Bad design is a common issue in everyday technology, causing frustration and inefficiency.
- β οΈ The 1979 accident at Three Mile Island nuclear plant was a significant example of how poor design can lead to catastrophic consequences.
- π« A stuck open valve, along with confusing control room interfaces, led to operators misinterpreting the situation during the Three Mile Island incident.
- π‘ The accident at Three Mile Island was not due to human error but rather a result of poor system design choices like misleading data and confusing alarm systems.
- π₯ User-centered design aims to overcome bad design by understanding users' mental models, addressing their pain points, and including them in the design process.
- π§ As technology evolves, users are required to do less physical work but more cognitive tasks, like overseeing automated systems.
- π Cognitive Systems Engineering (CSE) focuses on improving the design of systems to better support users' cognitive demands in complex environments.
- π CSE promotes studying users, their work, and the technology they interact with as part of a joint cognitive system to create more effective human-machine interactions.
- π Effective system design considers the broader work domain and cognitive demands, as shown by how better control room interfaces could have mitigated the Three Mile Island incident.
- πͺ CSE encourages expanding perspectives to look beyond just users, emphasizing the interaction between people, technology, and work to improve overall human performance.
Q & A
What is the significance of bad design in the context of technology?
-Bad design in technology, whether in everyday devices or complex systems, can lead to confusion, inefficiency, and even dangerous situations, as it creates obstacles for users by making systems harder to use and understand.
What was the major incident mentioned in the transcript related to nuclear power plant design?
-The major incident was the Three Mile Island nuclear power plant accident on March 28, 1979, in Pennsylvania, where a series of design flaws and system failures led to the most significant nuclear power accident in U.S. history.
What triggered the initial failure in the Three Mile Island incident?
-The failure began when a system malfunction prevented water from reaching the steam generators responsible for cooling the reactor core. This led to a temperature increase and the reactor shutting down automatically.
Why did the relief valve issue worsen the situation during the Three Mile Island accident?
-Although the relief valve was designed to open to release pressure, it failed to close once pressure normalized, leading to cooling water pouring out. Control room operators mistakenly thought the valve was closed, worsening the situation.
How did poor design choices in the control room contribute to the Three Mile Island accident?
-Poor design choices such as incorrect color coding, misleading data visualizations, and confusing alarm systems prevented operators from diagnosing the problem effectively, leading to misinformed decisions.
What is user-centered design, and how does it address the issues of bad design?
-User-centered design focuses on empathizing with users, understanding their mental models, addressing their pain points, and involving them in the design process to create more intuitive and user-friendly systems.
How has the role of humans evolved with the advancement of technology, according to the transcript?
-Initially, machines extended human physical abilities, but with modern interfaces and automation, humans have shifted from controlling machines to overseeing complex systems and processes, increasing cognitive work like problem-solving.
What is the focus of cognitive systems engineering as described in the transcript?
-Cognitive systems engineering focuses on designing systems that better support human cognitive processes by studying how people think, interact with technology, and accomplish tasks within complex environments.
What is a 'joint cognitive system,' and why is it important in system design?
-A joint cognitive system describes the interaction between people, technology, and work. Its essential properties come from how these elements interact, so studying users in isolation misses key insights into the system as a whole.
How could cognitive systems engineering have helped prevent the Three Mile Island accident?
-Cognitive systems engineering could have helped by offering insights into designing a control room that properly supported operators, helping them better diagnose problems and make informed decisions during unexpected events.
Outlines
π‘ The Importance of User-Centered Design in Complex Systems
This paragraph discusses how examples of bad design, both simple and complex, can have severe consequences. It highlights the 1979 Three Mile Island accident as a case where poor design choices led to confusion among operators, resulting in a nuclear power plant failure. The text emphasizes that user-centered design emerged as a response to such issues, by focusing on empathy, understanding user mental models, and involving them in the design process. It stresses the importance of supporting human cognition as technology advances and highlights the role of cognitive systems engineering in creating effective human-machine interfaces.
π Joint Cognitive Systems: Understanding Human-Machine Interaction
This paragraph introduces the concept of a 'joint cognitive system' using a car as a relatable example. It explains that just as a car's essential properties are derived from the interaction between its mechanical parts, a joint cognitive system's properties come from the relationship between people, technology, and work. The text argues for the importance of studying users in the broader context of their interaction with technology, advocating for cognitive systems engineering as an approach to designing systems that enhance human performance by considering the entire work domain, user cognition, and technology in tandem.
Mindmap
Keywords
π‘Bad design
π‘Three Mile Island
π‘User-centered design
π‘Cognitive systems engineering
π‘System failure
π‘Automation
π‘Joint cognitive system
π‘Work domain analysis
π‘Human performance
π‘Mental models
Highlights
Simple examples of bad design are everywhere, and we all experience them through interactions with computers and devices.
On March 28, 1979, the most significant nuclear power plant accident occurred at Three Mile Island in Harrisburg, Pennsylvania.
A system failure at 4 AM prevented water from being sent to the steam generators, leading to an automatic reactor shutdown.
A stuck open valve caused cooling water to escape, exacerbating the situation, while control room operators were unaware due to misleading data.
The failure to diagnose and resolve the issue was not due to human error, but poor design choices in the control room such as misleading data visualizations and confusing alarms.
User-centered design emerged as a solution to poor design by focusing on user needs, mental models, and pain points.
Despite technological progress, systems remain complex and often hard to use, requiring better user support.
The evolution of the computer interface has shifted human roles from controlling machines to overseeing processes, increasing cognitive work.
Pilots and drivers now monitor automated systems, moving from direct control to overseeing processes.
Cognitive systems engineering is an evolving discipline that addresses the cognitive demands placed on users by modern technology.
According to systems thinking, a system's defining properties come from how its parts interact, not just from the individual components.
When designing for humans, it's important to consider the bigger system of interactions between people, technology, and work, known as a joint cognitive system.
Cognitive systems engineering requires a deep study of both the work domain and the cognitive work done by users.
This approach aims to design more effective human-machine teams by leveraging cutting-edge technologies like automation.
The ultimate goal of cognitive systems engineering is to improve human performance, rather than degrade it, as seen in the Three Mile Island incident.
Transcripts
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simple examples of bad design
are everywhere
we all experience them when we interact
with our computers and our devices
and they reveal how clumsy design
can be really annoying
more complicated examples of bad design
reveal things that are harder to see
like the consequences of poor design
choices at larger scales
on March 28 1979 in Harrisburg
Pennsylvania the most significant
accident to date in nuclear power plant
history would occur
in the unit 2 reactor at Three Mile
Island
it was 4 AM when the first system
failure would arise
and that failure would prevent water
from being sent to the steam generators
that were responsible for removing heat
from the reactor core
the resulting increase in temperature
would cause the plant's reactor to
automatically shut down
in order to control the pressure that
was now building in the primary system a
relief valve was designed to open
automatically
and it did
but when the pressure returned back to
proper levels the valve should have
closed and it didn't
it became stuck open
cooling water is now pouring out of the
stuck open valve
and to make matters worse
control room operators thought that the
valve was closed
so alarms are going off and warning
lights are flashing but no one can seem
to make sense of what's Happening
controllers who were responsible for
monitoring the system were unable to
diagnose the problem or make effective
decisions about how to mitigate the
situation
and this wasn't because of human error
this was the result
of a series of poor design choices made
in the control room like incorrect color
codings misleading data visualizations
incorrectly placed visual displays
and confusing alarm systems
user-centered design came along as a way
to overcome bad design like this
by empathizing with users uncovering
their mental models addressing their
pain points satisfying their needs
and including them in the design process
and while we have made progress
we've learned a lot about users since
then
we all experience daily reminders that
systems are still complex and hard to
use
we began using machines as a way to help
us do physical work machines started as
an extension of our physical abilities
and then with early computers we started
to use machines to do more advanced work
computers helped us to perform complex
calculations
and now with the evolution of the
computer interface
it has once again shifted the role of
human users from controlling machines
to controlling processes
resulting in less physical work
but more cognitive work like problem
solving and decision making
Pilots they no longer just fly planes
they oversee automated flight systems
and a growing number of us no longer
just drive cars
we monitor our autonomous vehicles
as a cognitive systems engineer I am
fascinated in studying humans and how
they interact with technology
and ways in which we can design better
system interfaces to support people in
the way that we actually think
the bottom line is technology is rapidly
advancing and there's an increasing need
to properly support users and the
cognitive demands placed on them by new
technology
cognitive systems engineering is a
discipline that arises from this need
that's been evolving over the last 30
years as an approach to Designing
Technology
so let's take a look at how this
approach can not only help us better
support users
but extend the abilities of humans
according to systems thinking Pioneer Dr
Russell acoff a system has many parts
that are all connected
but what gives a system its defining
properties is how the system comes
together how the parts interact
so let's use an example we can all
relate to
a car
a car is a mechanical system has many
parts
but the car is the product of the
interactions between the mechanical
Parts the parts work together to
transport you from one place to another
and that is its essential property
also reminds us that when you
disassemble a system
it loses its essential properties
can no longer transport you
when designing systems for humans
focusing on the human is just one part
of a bigger system
and that system is called a joint
cognitive system
which describes the interaction between
people technology and work
and just like in our example of the car
the essential properties of a joint
cognitive system come from the
relationships between the parts
so we don't want to study users in a
silo we want to consider users relative
to this bigger picture because people
are just one perspective into the
problem
and like any perspective
can reveal some really important things
while simultaneously hiding others
expanding our perspectives on what
matters by studying people in the way
that they think
in addition to the technology they
interact with and the work that they
need to accomplish
allows us to design systems that support
humans and their goals in meaningful
ways
a cognitive systems engineering approach
requires breadth and depth
so first we go abroad we study the work
domain we gain a deep understanding of
the work the people the activities the
environment
and then we go deep and we study the
cognitive work we use cognitive analysis
techniques to elicit Knowledge from
users about how they think about their
goals and how they respond in difficult
scenarios how they adapt to surprise
and finally
we try to find ways to leverage
cutting-edge technology like automation
to re-envision the possibilities for how
we can accomplish our work to create
more effective human machine teams
which can ultimately lead to humans
being even more skillful in what they do
because the goal
is to improve human performance
rather than creating systems that can
degrade it like at Three Mile Island
work domain analysis could have offered
insights about how to design a control
room to properly support operators
and gaining a deeper understanding of
the kinds of events that operators may
experience and and how they might think
through those
could have lent itself to designing
better system interfaces for diagnosing
failures and providing decision support
now is a turning point in technology
a time for us to take a step back and
reflect on our journey and our way
forward
if we fixate on users
we will certainly see some things
but we will miss others
like staring through a keyhole
but if we open the door with cognitive
systems engineering
it reveals A New Perspective one that
suggests that
people are just one piece of this puzzle
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