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Summary Persuasive technologies (final-term) | UU Information Science

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This is an overview of the lectures and material that needs to be learned for the final-term of the UU information science subject 'Persuasive Technologies'. Good luck!

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PERSUASIVE TECHNOLOGIES
FINAL ESSAY
Guest lecture: e-coaching to support sleep therapy

(e-)Coaching
Support new behaviour :

 Improve motivation: the person is willing to spend more effort to perform new behaviour
o More attractive  trust, autonomy, reward, hope, surprise, beauty, flow
o More pressure  commitment, competition, challenge, scarcity
 Improve ability: it takes less effort to perform new behaviour
o Facilitate new: automation, tools, sensors, simplify,, remind, explain, negotiate, facilitate
o Impede old: remove cue, nudging, distract, punish


The role of an e-coach is to be a: listener | advisor/expert | supporter.

Coaching process:

 Collaborative practice: action planning, feedback and encouragement
 Individual experience: the coach is an active contributor
 Complex world with high degree of uncertainty: often a coach is not an expert. Therefore,
the system should give a lot of feedback and adapt to the wishes of the user



Coaching for Cognitive Behaviour Therapy (CBT)
CBT has 3 stages: The structure of exercises:




Basic elements of an e-coach app:

 Information base
o Sleep related (exercises, sleep efficiency, tools)
o Coach related (contract, schedule, clock)
 Behaviour

, o Schedule mechanism (planning activities, exercises)
o Constraint checker (violation detector)



Negotiation

A good way to use dialog is negotiation. This improves both motivation and ability by social contract
(commitment), user autonomy (agreement), and alignment and personalization. It is in the alignment
phase and planning & commitment phase. How it looks like in practice:




Alignment Planning & commitment (variables
should be in bold and/or italics)




So: negotiation can be implemented in smartphones in a ‘natural’ conversational style. There is a
need for negotiation in particular in the beginning of the process of behaviour change (when the
change requires strong willpower).



Guest lecture: visualization for behaviour change

Visualization
Single loop learning: through problem solving (you can immediately take action)
Double loop learning: through reflection [beliefs and assumptions  actions  outcomes]

3 stages of reflection: (1) Noticing; (2) Understanding; (3) Future actions.


There are 4 data visualization heuristics to facilitate reflection:

1. Make data interpretable at a glance [for single loop learning]

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