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Last modified by Demi Breen on 2023/04/09 14:59
From version 3.1
edited by Liza Wensink
on 2023/03/19 21:43
Change comment: There is no comment for this version
To version 4.1
edited by Liza Wensink
on 2023/03/19 22:08
Change comment: There is no comment for this version

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37 37  From this particular case it is clear that the persuasive strategy is based on the fact that there is a set of expected things the user might bring up (like, a priori assumed aspects that the user might talk about) that the robot will attempt to explain away, or explain why the user does not need to bother about that when choosing the camera. In our case maybe we could also attempt to catch some reasons somebody might not want to go walking for example, and then try to explain away those reasons (once again, just an idea) to try to persuade the user to actually go out on the walk.
38 38  
39 -**General persuasion tactics in conversation: **
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40 +**Article**: Applying Psychology of Persuasion to Conversational Agents through Reinforcement Learning: an Exploratory Study. 
41 +[[https:~~/~~/ceur-ws.org/Vol-2481/paper27.pdf>>https://ceur-ws.org/Vol-2481/paper27.pdf]]
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43 +This study concerns itself with agents trying to induce a healthier diet into the human they are attempting to persuade, which could be somewhat similar to what we are attempting to do.
44 +
45 +This study mentions: 
46 +"Three relevant psychosocial antecedents of behaviour change are the following: Self-Efficacy (the individual perception of being able to eat healthy), Attitude (the individual evaluation of the pros and cons) and Intention Change (the individual willingness of adhering to a healthy diet). These psychosocial dimensions cannot be directly observed and need to be measured as latent variables. To this purpose, questionnaires are used..."
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48 +What was later done during the test was...
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50 +"In a subsequent phase (i.e. message intervention), participants were randomly assigned to one of four groups, each receiving a different type of persuasive message: gain (i.e. positive behavior leads to positive outcomes), non-gain (negative behavior prevents positive outcomes), loss (negative behavior leads to negative outcomes) and non-loss (positive behavior prevents negative outcomes)." Could be something that can be considered during the persuasion stage.
51 +
52 +All this together is maybe be a bit much for us to implement. These questionnaires are quite lengthy and complicated to design and evaluate, since these aspects need to be monitored through latent variables. While we shouldn't and can't implement this in our project currently, it might be good to include as a side point when it comes to designing the complete system.
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54 +Further this article mostly descends into how to translate this different aspects and variables into a Bayesian network and then training the agents using RL, which is not relevant for this course even if it is interesting. Once again, could maybe be mentioned as a side note.
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