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Tutorial 4:Case Study
“Set Phasers on Stun”
SY DE 142 – June 7, 2004
Introduction to Human Systems Engineering
Waterloo, Ontario, Canada
Outline
Case Study: “Set Phasers On Stun”
Discussion on “Set Phasers on Stun”
Midterm Overview
Set Phasers on Stun Overview
Time: 1986 Place: East Texas Cancer Center, Tyler
Synopsis: A computer glitch turns miracle machine into monster for one cancer patient. Mode error combine with lack of feedback deliver a blast of 25,000 rads down onto the patient.
Set Phasers on Stun Interface Design
Draw out the general Human machine system model and redraw it for this case.
What feedback was available to Mary Beth and what was missing?
Set Phasers on Stun“Information Displays”
Human = Mary Beth -Interface = Therac Control PanelMachine = TheracWorld = Patient
a: mary beth's command b: control signal c: raysd: patient state e: feedback on Therac state and actionsf: feedback on interface state and actions (control signal sent)g: interface information
Set Phasers on Stun Feedback
Mary Beth needed to know: the control signal was sent the Therac mode that the Therac had sent out rays patient state.
14 marks: 5 for the draw, 5 for redraw and 4 for feedback
Midteram Overview
SY DE 142 Midterm:
Date: June 14, 2004 Time: 1:30 - 3:30pm Room: DC 1350 Aids Allowed:
Text book: Wickens and Set Phasers on StunCalculator
Solutions must be written in pen, not in pencil.
Business in Bhopal
Silent Warning
In Search of the Lost Cord
An Act of God
The Wizards of Wall Street
Set Phasers on Stun
Case Studies
Death on the Job
Bhopal, a Lingering Tragedy
Why Planes Crash
Broken Bus
Films
Course Material Outline
Accident Analysis and Fault Trees
Mappings and Affordances
Gulfs of Execution and Evaluation
Human Action Cycle Information Processing Human Decision Making Human Error - Mistakes
Human Error- slips Human machine model Displays Control Human-Computer
Interaction Usability Testing Automation
More details on slides and in book.
Accident Analysis andFault Trees
Linear interactions
Common mode interaction
Nonlinear interactions
Tight vs. Loose coupling
FMECA Fault Tree Analysis
Chronological Show causality Events: action and time
(time often implicit) AND/OR gates Last event at the top
OR
AND
Mappings and Affordances
Mapping : relation between action and its result in the world
Helps automatic processing when extremely strong between world and required action
Two kinds; natural (steering wheel), social/cultural (light switch) Affordance:
perceived and actual properties of things that help to direct users’ actions, should be applied as a design principal
“Affordances become visible by establishing mappings, (what it does, how it works)”
Gulfs of Execution and Evaluation (and HAC)
Gulfs: Execution: have an intention but can’t figure out
action (difference in seq of action & action in the Human Action Cycle)
Evaluation: Can’t figure out whether the goal has been achieved
GOAL
WORLD
ActEvaluate
Intention
Act!
Evaluate
Gulf of execution!Gulf of evaluation!
Perception
How is state of the world perceived? Use senses
Interpret
Sequence of Actions (what should be done)
HUMAN ACTION CYCLE
Interpret
Information Processing“How we Think”
Memory Short term, long term , how to improve, knowledge in
head vs. knowledge in world Perception
Feature analysis (bottom-up processing), unitization, top down processing ----design implications
Attention Selective, divided ---- design implications Resource model, Multiple resource model
More Information Processing“How we Think”
Situation awareness (SA): being aware of meanings of dynamic changes in the environment 3 stages: Perceive, understand, predict Measuring SA: by SA Global Assessment technique
(SAGAT)
Decision making Normative model (methods: multi-attribute utility theory,
expected value theory, SEUT) Descriptive model (methods: satisfaction not optimal,
heuristics, and biases to create easier ways of thinking)
Human Decision Making
Heuristics and Biases in Human decision making (look at updated lecture notes) could happen in any of the following stages:
1. Getting information input (input or cue biases)2. Generating hypotheses and selection ( 6 biases).3. Plan generation and action choice (4 biases).
SRK Framework Skill based decisions (automated) Rule Based decisions (procedural) Knowledge based decisions
Human Error -- mistake
Mistake: wrong goal and intention but right action Why it happens? Types of mistake
mistaken similarity, misjudged probability, rationalizing small events, social pressures/cultural factors and $
Forcing Functions
Human Error -- slips
Slip: right goal and intention but wrong action, Mostly occurs with skilled behavior
(WHY?) Mode Error: right action in wrong mode
(therefore the action becomes WRONG)
Information DisplaysHuman-Machine Model
Human machine system model :
Elements: user Interface machine World
begins with Action : Operator acts on the
interface. Interface sends a control
signal to the machine. Machine acts on the world.
Feedback: (4 feedbacks) State of world to interface Action of machine to
interface Indication of control signal
(machine to interface) Information from interface
to operator
Any missing item may cause an accident
Display contents
should permit evaluation and execution Display principles:
Perceptual (legible, give reference, redundancy, design for distinctive features)
Mental model (pictorial, moving part, ecological) Attention (multi-resource, proximity compatibility,
information access cost) Memory (predictive aids, knowledge in the world,
consistency
Display forms
Digital vs. Analog (precision vs. change) Configural displays
Rankine cycle Polar star display
Heads-up Ecological displays
Control
Control vs. display : control is same as display till user interacts with system through display
Very important in design same guidelines as displays.
Laws and principals: Hick-Hyman law for Reaction Time Fitts law for Movement Time
Control Types : zero order (mouse), first order (steering wheel) and second order (thrust of shuttle)
Human-Computer Interaction
What your focus is as a designer: User group:
who is using your system (novice, infrequent, frequent expert) and what should you know about these users.
Interaction styles: how will the user (based on expertise) interact with the system
(eg. Menu, form, QA, command language, function keys, direct manipulation, natural language, ….)
Usability and user testing
Usability Approaches (4) Cognitive walkthroughHeuristic evaluation (Neilson’s usability
principals)Performance measurementField study
TasksUsability measures (satisfaction, learnability,
errors)
Automation
When and why use automation Classes of automation
Information acquisition (warnings, filters)Information integration (pattern recognition,
expert systems)Action selection (TCAS)Action execution and control (autopilots,
cruise control)
Automation
Levels of automation Reliability Issues:
complacency (over trust), mistrust, dumb and dutiful effect.
Best form is Human Centered Automation
Good luck