Title: Chapter 11 Phase 5 : Worker Competencies Analysis
1 Chapter 11Phase 5 Worker Competencies Analysis
2Purpose
- The fifth phase of CWA
- To address the traditional core concerns of the
HF and HCI community - To identify the competencies that an ideal worker
should exhibit - Two steps to consider
- To consolidate the requirements imposed by the
previous phases - To determine how those requirements can be met in
a way that is consistent with human limitations
and capabilities - Modeling tool SRK taxonomy
- A framework within which domain requirements and
existing knowledge of human cognition can be
integrated - An example using the DURESS II process control
microworld
3The ecological approach revisited
4- Funneling in with each successive phase
- Reducing the degree of freedom
- From environment constraints to cognitive
constrains
5From cognitive constraints to system design
- There are much knowledge of human capabilities
and limitations - Highly fragmented and applicable only to narrow
psychological phenomena - Potentially relevant to systems design
- A challenge in worker competencies analysis
- To pull together requirements of the application
domain and the relevant subset of existing
knowledge about human cognition in a integrated
way - To derive practical implications for system design
6The origin of Skills, Rules, Knowledge taxonomy
- Rasmussen (1983) ??
- To help organize relevant knowledge into a form
that is more useful for system design - As Sanderson and Harwood(1988) It is easy to
misinterpret SRK taxonomy
7A taxonomy, not a model
- The taxonomy provides a set of distinctions, not
a detailed model of psychological processes - One of the primary criteria in the development of
the taxonomy is usefulness, not necessarily
truth. - Each level in the taxonomy corresponds to a
category of human performance - Respecting these distinctions should make it
easier to develop models for each category of
human performance
8Criteria to distinguish categories of human
performance
- Dependent on its purpose
- SRK taxonomy is defined by
- Distinguishing categories of human behavior
according to fundamentally different ways of
representing the constraints in the environments - Unpack these premises into a series of logical
steps - Goal-directed interaction between a worker and an
environment depends on constraints - Constraints that need to be taken into account
can be represented by workers in fundamentally
different ways - Each of these ways taking into account
action-relevant constraints is linked or defines,
a different categories of human performance
9Logical steps to unpack the premises
- Goal-directed interaction between a worker and an
environment depends on constraints - Ex) gravity ? ??
- Different types of constraints that are relevant
to the workers current goals work domain
constraints, control task constraints - Constraints that need to be taken into account
can be represented by workers in fundamentally
different ways - One by reasoning analytically using a symbolic
representation of Newtons law - Two by a set of instructions that would specify
what actions should be taken - Three by an internal embodiment (or implicit
model) of the relevant dynamics to continuously
guide actions - Each of these ways taking into account
action-relevant constraints is linked or defines,
a different categories of human performance (??)
10Action-relevant constraints human performance
- KBB is defined by serial, analytical reasoning
based on a symbolic representation of the
relevant constraints in the environment. - KBB guides action by representing the
goal-relevant constraints in the environment as
a mental model - RBB is defined by an if-then mapping between a
familiar perceptual cue in the environment and an
appropriate action - No reasoning is required and there is a direct
association between a cue and an action - RBB guides action by representing the
goal-relevant constraints in the environment in
terms of perceptually grounded rules - SBB is defined by real-time, direct coupling to
the environment via dynamic world model - Dynamic world model is only an implicit model of
the environment - If skilled in motor control, actions are
successful without having to represent gravity
explicitly internally. - Just as the representation of information in an
analog computer corresponds to its physical
structure - By providing a basis for direct coupling and
parallel, continuous interaction with the world
11Relation between levels of cognitive control in
SRK taxonomy and the way in which constraints in
the environment are represented and processed
internally
12Internal representation Skill-based behavior
- Smooth, automated, and highly integrated patterns
of action that are performed without conscious
attention - Typical example automated psychomotor activity
(e.g. walking) that is driven by a continuous
perception-action loop - Anticipatory actions, direct coupling to the
environment, prototypical temporal-spatial
patterns, non-verbalized.
13Internal representation Rule-based behavior
- Stored rules derived from procedures, experience,
instruction, or previous problem-solving
activities - Action is goal-oriented but goals are not
explicitly represented. Goals can only implicitly
be found in the structure of the rules. - The rule will reflect the functional properties
of the environment that constrain action - People are not reasoning they are merely using
familiar perceptual cues in the environment to
trigger actions directly - Workers are usually aware of their cognitive
activities at the RBB and thus verbalize their
thought
14Internal representation Knowledge-based behavior
- Deliberate serial search based on an explicit
representation of the goal and a mental of the
functional properties of the environment - Goals are considered explicitly rather than
implicitly - Slow serial and effortful because it requires
conscious, focal attention - Frequently used unfamiliar situations where
previous experience is no longer valid and a
solution must be improvised by reasoning
15The SRK taxonomy of human performance
16The role of information interpretation signal,
sign, symbols
- The three levels are distinguished
- according to the way in which workers interpret
information from the environment (Signals, Signs
and Symbols) - by the kinds of internal representation
- Signals
- Signals have a strong perceptual basis because
they are continuous quantitative indicators of
the time-space behavior of the environment - The changing distance between your car and the
lane markers may be a time-space signal - Signs
- Signs are arbitrary but familiar perceptual cues
in the environment. They refers to the state of
the world by convention or by prior experience - A red octagon with the word stop may be a sign
- Symbols
- Symbols are meaningful formal structures that
represent the functional properties of the
environment - Your knowledge of the cars components are
represented as symbols in a mental model (??? ???
?? ???? ??? ??? ?? ??? ???? ??)
17Signal, Sign, Symbol distinctions
- The concepts refer to the way in which an
observer interprets information, - not just to the form in which information is
presented - The very same display may be interpreted as a
signals as a sign or as a symbol - Signals and signs have a perceptual basis,
whereas symbols have a semantic basis - Both signals and signs refer to perceptual
properties of the environment such as distance,
color and size - Symbols although they may take a particular form,
refer to the meaning of the information, not its
form
18A hypothetical example showing the difference
between signals, signs and symbols
19Interactions between levels (I)
- The interactions between levels are best
appreciated by adopting a temporal perspective. - Synchronous activities
- Those that occur online and in-real and deal with
the current situation - Workers is directly coupled to spatial-temporal
properties in the environment - Continuous steering your car to make sure that it
is within the lane markers - Synchronic activities
- Those that occur online and real time, but they
deal with the sings that are used to trigger new
SBB activities - Such activities fall into the realm of RBB
- You hear your engine revving up to a familiar
reference pitch, so you shift gears. - For an experienced driver, the act of changing
gears would take lace at the SBB level (direct
coupling to the time-space properties of the
environment
20Interactions between levels (II)
- Diachronic activities
- Occur offline and require evaluation or planning.
They involve using previous experience to
interpret the world in terms of signs that could
trigger SBB activities - Those deal with what has occurred in the past and
may occur again in the future - Recognizing a familiar stretch of highway that in
the past, has been followed by an icy patch of
road. - Achronic activities
- Occur offline and require evaluation or planning
- They involve reasoning in symbolic terms , not
associating actions based on familiar perceptual
signs.
21Interactions between the different levels of
cognitive control
22Avoiding some misconceptions (I)
- A continuum with completely preattentive,
automatic processing on the skill-based end and
completely attentive, controlled processing on
the knowledge-based end - The three ways of interpreting information are
discrete concepts that do not lie on a continuum. - Nothing in between the two (signal and sign)
- Actions directly on the world are only possible
at the SBB - Actions on the world are driven by automated
sensorimotor patterns at the SBB level (?? ??)
23Avoiding some misconceptions (II)
- To classify tasks as belonging solely to one of
the three levels in the taxonomy - Such an interpretation would be overly simplistic
- There are interactions among three levels (???
??) - SBB level is always active and is responsible for
directing attention, activating higher levels,
controlling information gathering as well as
transferring intentions into control of movements - The relationship between a particular task and
levels of cognitive control is not fixed because
it can be mediated by several variables - Workers level of expertise novice may have to
resort to KBB, but expert may enable RBB - The form in which information is presented
graphic form (lower level), alphanumeric form
(higher level) - The degree to which workers reflect on their
performance Unreflective worker (using RBB and
SBB), Reflective worker (using KBB)
24Examples of its usage
- A taxonomy of human performance models
- Stages of skill acquisition
- Theories of expertise effects in the memory
recall - A framework for interface design for complex
sociotechnical systems
25Mapping of human performance models onto the SRK
taxonomy
26Stages of skill acquisition (1)
- Five stages of skill acquisition (Dreyfus
Dreyfus 1988) - Novice students learn explicit facts, features
and rules that can be readily verbalized.
Context-free - Advanced beginner students begins to take into
account more contextual factors and thus develop
more sophisticated rules for performing a task - Competent performer students use specific goals
to prioritize facts according to their relevance - Proficient performer activity at this stage is
the result of experience-based associations
connecting context and current stimuli with plans
that have proven to be successful - Expert students are able to deal with task
demands in an effortless and automatic fashion.
27Stages of skill acquisition (2)
- Reinterpretation by SRK taxonomy (Olsen and
Rasmussen, 1989) - Expertise is not a fixed property of a person,
but rather a dynamically varying relationship
between the demands imposed by the environment
and the resources of a particular person - Additional implications
- Learning can take place within each level ex)
learning to talk or walk involves exploration and
development within the SBB level - Differentiating expertise at different levels
also highlights the issue of meta-expertise
meta-expertise? ???? ?? ??? ??? ?.
28Theories of expertise effects in the memory
recall (1)
- Relationship between expertise and memory recall
performance - Chess master were able to reconstruct perfectly a
chess position - Perceptual chunking theory
- These chunks are perceptually structures that
contains information about patterns of pieces on
a chessboard - Experts can recognize and code familiar chunks of
pieces - Conceptual chunking theory
- This is based on the meaningfulness of the
material to be recalled, not its perceptual form - Experts skill is a result of the organization of
functional concepts in long-term memory
29Theories of expertise effects in the memory
recall (2)
- To develop an integrative theoretical account of
the chunking phenomenon by the SRK taxonomy - The perceptual account draws on the RBB level
- The environment (i.e. the set of pieces to be
recalled) is interpreted as signs (i.e. familiar
perceptual cues) that correspond to groups of
chess pieces. - Chunking is possible because of a recognition
process - The conceptual account draws on the KBB level
- The environment is interpreted as symbols (i.e.
knowledge structures) that correspond to
meaningful relationship between chess pieces. - Chunking is possible because of conceptual
inference - These processes can interact and chunking can be
driven by a combination of the two levels.
30A framework for interface design for complex
sociotechnical systems
- ???? ???? ???? ??????? research issue?? ??? ????
??? ?? SRK taxonomy??. ??? To develop design
principles (Ecological Interface Design) - 3 steps of EID framework ??
- Literature review on interface design
- SRK taxonomy as an framework to integrate the
variety of research results - To deduce a set of three principles for interface
design
31Theoretical rationale behind the development of
the EID framework
Greater the skill, lower the level
32A framework for interface design
- Interface should achieve twofold goals
- To design interfaces in such a way as not to
force cognitive control to a higher level than
the demands of the task require - To provide the appropriate support for all three
levels - 3 design principles
- SBB- To support interaction via time-space
signals, workers should be able to act directly
on the display - RBB- Provide a consistent one-to-one mapping
between the work domain constraints and the cues
or signs provided by the interface. - KBB- Represent the work domain in the form of an
abstraction hierarchy to serve as an
externalized, faithful model that will support
knowledge-based problem solving
33For process control microworld (1)
- Skill-Based Behavior
- Workers should have basic perceptual skills
- Workers should be able to interact directly with
the display rather than using command language - Timing is a very important aspect of proficient
control in DRUESS II (visualization e.g. time
constants, rates of change) - Rule-Based Behavior
- Worker competencies at the RBB level can be
divided into tow categories - To create salient perceptual cues
- To be aware of the various shortcut and
strategies that they can use to effectively
control the process
34For process control microworld (2)
- Creating signs
- Graphical visualization of the mass balance
constraints - Ensuring that workers are aware of procedural
constraints that can be exploited to control the
process - Pumps should not be turned on before valves (In
the control task and strategies analysis) - Knowledge-Based Behavior
- By presenting these relationship (Identified in
WDA) in the interface, we would be creating a
faithful, external model of the process that
workers could use during problem solving - Serve as the basis for a training program
35Summary
Cognitive Work Analysis Framework
Cognitive Work Analysis
Systems Design
Identify
Form
Realize
Build
Develop
Conceptual Distinctions
Modeling Tools
Models of Intrinsic Work Constraints
Systems Design Interventions
v
1. Work Domain
1.
1.
1. Sensors, models, database
Abstraction- Decomposition
v
2. Control Tasks
2.
2.
2. Procedures, automation, context-sensitive
interface
Decision ladder
v
Information Flow Map
3. Strategies
3.
3.
3. Dialogue modes, process flow
All of the above
v
4. Social-Organizational
4.
4.
4. Role allocation, organizational, structure
5. Worker Competencies
5.
5.
5. Selection, training, interface form