Chapter 1+2 Flashcards
Halo - Effect (Limitations in perception)
Mistake in judgement due to extension of a persons overall impressions (+ -) OR the perception if one particular outstanding trait
Example: essay from a student with “positive” names were in average evaluated better (although essays were identical)
Priming Effect (Availability Bias)
Exposure to one stimulus influences the response of another stimulus
The order of info presentation influences decision
Anchoring and adjustment (Complex Situations)
Benchmark to estimate the value
Def. rely too heavily on 1st offered piece of info(anchor)
Sometimes anchors are set willingly
Selective activation of compatible memories explains anchoring
Mass defaults
Gives a version of offering (not the best) -> standard shipping
+ In case of absent info, easy to implement, decreases confusion, increases convenience
- Doesn’t consider indiv. Preferences, profits could be Max better
Personalized defaults
Reflect indiv. preferences + better to meet customers needs
+ Tailored for demo and geographic info, update in real time
- Not easy to implement, increases risk of dissatisfaction, info must be
(need for big data management)
No defaults
When the best choice of default isn’t obvious
+ Choose friendly, no risk to jeopardize consumers
- Less is more (Paradox of choice), may make bad choices, higher likelihood
of regret
Prospect theory
Aim: describe the actual behavior of people (contrary to expected utility theory)
Coding: agent value layoffs (PL) compared to status quo
Decreases sensitivity
Normative Decision Theory
Focus: logic decisions Assumption: RATIONAL behavior Deductive approach Constructive goal Closed mode,
Basic Model: interaction between obj and sub (Objective system)
Interaction between obj and subj system
Objective system: R(A) + R(Z) + g(CF)
A: range of actions (set of possible actions at certain point in time)
Principal of completeness: option of doing nothing included
Principal of exclusiveness: no overlapping
Z: range con conditions (set of environmental conditions, which doesn’t depend on actions BUT influence the result)
g: maps action ai depending on condition zj leads to the result eij
Basic model: interaction between obj and sub (subj system)
Info system: set of all posible info about conditions (z)
Goal system: classification of agents goals according to preferences
Decision logic: Extent Type Time Risk
Basic principles of Decision Theory
Certainty risk uncertainty
Under certainty: z is known - guess outcome pretty accurate
Risk: possibilities for zi are known - almost know the outcome
Uncertainty: no further info - refer to previous experiences