1. 7. Decision Making

2. DEFINITION OF DECISION MAKING

3. DECISION-MAKING MODELS

4. Normative Decision Models
Multiattribute utility theory

5. Normative Decision Models
Expected value theory
Subjective expected utility theory

6. Descriptive Decision Models
Heuristics and biases – Satisficing
Naturalistic DM

7. HEURISTICS AND BIASES

8. Info Processing Limits in DM

9. Heuristics and Biases in Receiving and Using Cues
Attention to a limited number of cues
Cue primacy and anchoring
Inattention to later cues
Cue salience
Overweighting of unrealistic cues

10. Heuristics and Biases in Hypothesis Generation and Selection
Generation of limited number of hypotheses
Availability heuristic
Representativeness Heuristic
Overconfidence
Cognitive tunneling
Confirmation bias

11. Heuristics and Biases in Action Selection
Retrieve a small number of actions
Availability heuristic for actions
Availability of possible outcomes
Framing bias

12. DEPENDENCY OF DECISION MAKING ON THE DECISION CONTEXT

13. Skill-, Rule-, Knowledge-Based Behavior

14. Recognition-Primed Decision Making

15. FACTORS AFFECTIMG decision making performance:
An integrated description of decision making

17. Improving human decision making

18. Decision-Support Systems
Task Redesign
Decision-Support Systems
Decision Matrices and Trees
Spreadsheets
Simulation
Expert Systems
Displays
Training