Lecture 09 Considering individual differences Flashcards
1
Q
Cialdini (2001-2016)
A
7 principles:
reciprocity,
commitment,
social proof,
liking,
authority,
scarcity,
unity
2
Q
Fogg (2003)
A
7 tools:
reduction,
tunnelling,
tailoring,
suggestion,
self- monitoring,
surveillance,
conditioning
3
Q
Inter-individual differences
A
Differences that are observed between different people.
E.g Anne is less shy than Tom
4
Q
Intra-individual differences
A
Differences that are observed within the same person over time.
E.g Anne is less shy with friends than with strangers.
5
Q
Personalised persuasive technology
A
Persuasive technology that automatically adapt to the user and/or their context of use
6
Q
Features to personalise to
A
- Personal inherent features
(e.g. gender, age, language) - Relevant behaviour metrics
(e.g. cigarettes/day, weight (BMI), activity level, knowledge level, etc.) - Preferences and goals
- Attitudes
- Context features
(e.g. time, location, connection, ambience, etc.) - Psychological features
(e.g. motivation, personality, persuasion type, gamer type)
7
Q
Perceived persuasiveness
A
- Easier to implement
- Subjective
- Depends on people’s conceptions of persuasiveness (e.g. O’Keefe (2018))
- Could be affected by priming
8
Q
Actual persuasiveness
A
- More difficult to implement
- Objective
- Higher cost for the user (e.g. time/effort)
- Could be affected by external factors (e.g. weather conditions)
9
Q
Explicit profiling
A
- Explicitly: the user provides the information themselves.
- Positive = Easy to obtain
- Negative = Might be inaccurate because this is subjective data.
People may not know what best persuades them or they
provide socially desirable answers.
10
Q
Implicit profiling
A
- Implicitly: Actual behavioural responses to persuasive attempts
- Positive = Undisturbed experience and more accurate data
- Negative = People may be unaware of data being used for tailoring,
and that personalization is happening in the first place.
