Title: Engineering Psychology PSY 378S
1Engineering PsychologyPSY 378S
- University of Toronto
- Spring 2004
- L7 Attention
2Outline
- Attention
- Three kinds of attention
- Selective attention
- Supervisory control sampling
- Eye movements/UFOV
- Visual search
- Divided vs. focused attention
- Global (parallel) and local processing
- Emergent features
- Spatial proximity
- Response conflict
- Object-based proximity
- Proximity compatibility principle Display
design recommendations
3Attention as Spotlight
- We attend where beam falls
- Use this metaphor to distinguish among 3 types of
attention
4Attention as Spotlight
- 1) Selective
- Information sometimes outside of beam we should
attend to it - need to attend to something else
- Need to change direction of spotlight
- e.g., so engrossed in task, forget about other
things
Hey, over here!
5Attention as Spotlight
- 2) Focused
- Other irrelevant information in beam, need to
narrow beam - Need to concentrate on just one source
- Other sources of information in the environment
serve as distraction - e.g., someone talking, youre trying to study
Must..focus!
6Attention as Spotlight
- 3) Divided
- Must get information from various sources, need
to widen the beam - Need to monitor many things at once
- e.g., harvesting wheat and hearing the results of
the Vandal football game on the radio--
Touchdown - cant go driving all over the field
Need..to..widen!
7Selective Attention
- Supervisory Control Sampling
- Operator scans display of a complex system in
order to control it (power plant, aircraft) - Location known, information unknown
- Target Search Sampling
- Operator trying to locate target (radar, search
and rescue) - Information known, location unknown
- Directing Attention (in text)
- Cueing location (Hey over here!)
- Attention in Depth (in text)
- Potential for reduced clutter
8Supervisory Control Sampling
Which channel should be sampled more?
9Supervisory Control Sampling
- Engineering psychologist divides world into
channels along which events can periodically
occur - Signal detection problem Hit (detecting an
event) Miss (do not observe an event) - Sensitivity, Bias
- Optimal sampling
10Experimental Results inSupervisory Control
- Mental model guides sampling
- When and where do events occur
- Improves with expertise
- Design frequently sampled displays should be
placed centrally - Sequentially sampled pairs of displays should be
located together - Adjustment to event rate
- people sample channels with higher event rates
more frequently - e.g., speedometer vs. gas meter vs. engine
temperature - sluggish beta
11Experimental Results inSupervisory Control
- Sampling affected by arrangement
- Operators more likely to make horizontal than
diagonal scans - Reluctant to diagonally scan to high event rate
channel - Event rate not enoughposition matters
- Memory imperfect sampling imperfect
- Oversampling of channels with low event rates
(sluggish beta) - People forget to sample especially if must
request/select info (channel info not directly
observable) - Importance of sampling reminders
12Experimental Results inSupervisory Control
- Preview helps
- When observers given preview of scheduled events,
sampling becomes more optimal - Compromised by number of channels, complexity of
information - Processing strategiescognitive tunneling
- Downside of mental model
- When one channel fails, stop processing other
channels - Fixate (lock on to) channel being controlled
13Visual/Target SearchEye Movements
- Based on expectancies (top-down, ?)
- Novice vs. expert
- Scan path will change with task
- Display factors and salience (bottom-up, d?)
- Large, bright, colourful, dynamic, abrupt onset ?
attract attention - Physical location (left to right, centre first
edge effect) - Singletons (unique stimuli)
14Visual Fixations
- Foveal area of fixation (approx 2 deg)
- Useful Field of View (UFOV)
- Effective area within which information can be
extracted - Min(distance between successive fixations) in
visual search task - Varies between 1 and 4 deg
- Dwell time
- Length of fixation
15UFOV
- Affects
- Driving Behaviour (smaller UFOV?visual search,
driving) - Affected by
- Density of information
- Discriminability of target from background
- Aging ? UFOV
- UFOV doesnt blanket area
- Targets may not be identified in UFOV
- Airborne search and rescueonly 53 of terrain
covered (Stager Angus, 1978) - Fixated but not detected (implies decision
criterion) - Training as solution
16Dwell Time
- Typical fixation 250-500 ms
- Longer dwells (fixations) on
- Less legible displays
- Less familiar words
- More difficult text, display instruments (greater
information pickup) - Unusual objects, out of context
- Survey vs. examination dwell
17Visual Scanning Implications
- Scanning results tell us about
- Internal expectancies
- Novice vs expert scanning patternstell us about
mental model/search strategy - Diagnosticsfrequently watched instruments are
those most important to operator - Place in prominent location or close together
18Factors Affecting Search Rate
- Number of items
- Typically serial search
- Target distinguished by single level of
dimension/simple rule - Typically a parallel search
- Discriminability
- Hard to distinguish ? serial (inefficient)
- Easy to distinguish ? parallel (efficient,
preattentive, pop-out)
Serial
RT
Parallel
Set Size
19Factors Affecting Search Rate (contd)
- Absence/presence of target features
- Absent (O in Qs) ? serial
- Present (Q in Os) ? parallel
- Spacing
- Little effect scanning and clutter trade off
- One or more targets
- Generally less time if single type of target
- Unless all targets discriminable along single
dimension (e.g., diagonal stroke in K, X)
20Factors Affecting Search Rate (contd)
- Training
- If one can train to automaticity, leads to
parallel processing - Only where targets are consistent, must maintain
mapping
21Visual Search Applications
- Symbol coding
- Unstructured search Icons on desktop,
commercial and information signs while driving - Vehicle dispatcher
- Scanning digital map to locate the vehicle that
is not in service and has large capacity - Military commander
- Find infantry platoons on digital terrain model
22Break
23Divided Attention vs. Focused Attention
- Often good to divide attention (multi task)
e.g., in high demand air traffic controlit is
sometimes impossible to narrow when needed - Divided attention mandatory rather than optional
- Display designs or principles that facilitate
divided attention impair focused attentiona
trade off
Need..to..widen!
Must..focus!
24Parallel Processing and Divided Attention
- Preattentive phase
- Automatic
- Organizes visual world into objects and groups
- Global or holistic processing
- Short term sensory store
- Subsequent selective attention
- Further elaboration
- Perception
- Local processing
25Selective
Pre-attentive
26Display on right allows for preattentive grouping
of elements
27Organized Displays
- Follow Gestalt principles
- And information theory
- Probability in context redundancy
- Knowledge of location of one display item allows
better prediction for another - Information theory based measures of display
organization (Palmiter Elkerton, 1987 Tullis,
1988)
28Global and Local Processing
- Global processing
- All items of organized display processed together
in parallel - Local processing
- Processing single object in display
29What is small letter?
30What is small letter?
31What is large letter?
32What is large letter?
33Global and Local Processing
- Response Conflict (Navon, 1977)
- Global?Local
- Automatically process large, affects small
- Asymmetric interference from small does not
affect large (Local does not affect Global)
34Emergent Features
- Related to global processing concept
- Emergent feature is global property of set of
stimuli (or displays) not evident as each is seen
in isolation - Speeds processing (because preattentive)
- Only works if
- organization is compatible with task
- Gestalt principles (based on information theory
expectation/redundancy constructs) upheld
35Spatial Proximity and Divided Attention
- How can we improve divided attention?
- Expect spatial proximity will support parallel
processing ? divided attention. - There is evidence that it does
- Head-Up Displays (HUDs) as example
- Idea is to superimpose aircraft instrument
information on view of real world
36Do HUDs Help?
- Both information channels (instruments and view
out the windshield) can be attended in parallel,
or at least reduce transition time - HUDs improves control of position during landing
(Wickens Long, 1995) - However, spatial proximity does not guarantee
that parallel processing will occur - Airplane poised to move out less likely to be
seen with HUD (Wickens Long, 1995)
37Expectation
- HUD helps divided attention when pilot expects
stimulus - And hinders when the stimulus is unexpected
(airplane on runway)
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40Spatial Proximity Conflicts
- Penalty involved in putting information close
together - If two attentional channels are close together,
they will both be processed, even if only one is
desired - A failure to focus attention
41Response ConflictEriksen Eriksen (1974)
- Control
- H
- Display Clutter
- K H K
- Redundancy Gain
- H H H
- Response Conflict
- F H F
H right button F Left button
42Response ConflictEriksen Eriksen (1974)
- Display clutter
- Confusion, failure to focus between relevant and
irrelevant - Response conflict and redundancy gain
- Proximity allows two channels to be processed in
parallel, even if undesired - Information competes at perceptual level when
there are different implications for action - If they disagree, RT ? -- leads to response
conflict - If they agree, RT ? -- leads to redundancy gain
43Object-Based Proximity
- Similarity can be based on more than spatial
proximity - What if different information channels are
different dimensions of the same stimulus? - Colour, shape, location, size, etc.
- Stroop task name ink colour
- XXXX XXXX
- GREEN RED
- Stroop effect RT and error ? when colour name
and ink colour conflict (relative to neutral
control) - Redundancy gain also observed
44Object-Based Model
- Multiple dimensions belonging to single object
likely to be processed in parallel - Likely to help if parallel processing required
- But hinder if one dimension is irrelevant
- GREEN RED
- Attention not just space-based (spotlight)
- Object-based model says concurrent processing
occurs when elements lie within single object,
independent of its spatial dimensions - Judgments made about two parts of same object
made faster than when parts are from different
objects, even when distance constant (Behrmann et
al., 1998)
45Object Displays
- So we can take advantage of this object based
proximity - Integrating information sources into one display
if parallel processing required - Emergent features property of whole, not seen
when parts in isolation - Connect spokes to form polygon
Safety parameter display (Westinghouse)
46Focused Attention Tasks?
- What if the task requires focussed attention,
will the object display be good? - Not really
- Use appropriate object type for task(s)
- E.g., bar graph
47Putting it TogetherProximity Compatibility
Principle
- If task requires HIGH processing proximity, then
should have HIGH display proximity - If task requires LOW processing proximity, then
should have LOW display proximity - Processing proximity extent to which
information sources are used in the task - Display proximity how close display elements
are (distance or object-based)
48Using Multiple Sources of Information
- Integrating multiple information sources by
proximity or common representation (objectness,
colour, etc.) results in - Increased probability of parallel processing
- Increased likelihood of emergent features with
improved performance if they are mapped to the
task - Possible creation of clutter or response conflict
if the task requires focussed attention on one
dimension
49Using Multiple Sources of Information
- Separating multiple information sources by moving
them apart or putting them in separate objects
results in - Increased probability of local processing
- Reduction of clutter or response conflict if the
task requires focussed attention on one dimension - May still allow emergent features (bars in bar
graph)
50Summary
- Attention
- Three kinds of attention
- Selective attention
- Supervisory control sampling
- Eye movements/UFOV
- Visual search
- Divided vs. focused attention
- Global (parallel) and local processing
- Emergent features
- Spatial proximity
- Response conflict
- Object-based proximity
- Proximity compatibility principle Display
design recommendations