README
Author: M.L. Tielman 
Institution: Delft University of Technology
Year: 2017

Dataset: Generating Personalized Motivational Messages 






About: This dataset contains the data, analysis, results and some of the methods (e.g. questionnaires) belonging to the experiments presented in the two papers:


- Generating Situation-Based Motivational Feedback in a Post-Traumatic Stress Disorder E-health System, M.L. Tielman, M.A. Neerincx & W.P. Brinkman (Int. Conf. on Intelligent Virtual Agents, 2017)

- Generating Personalized Motivational Messages for a Virtual Agent that assists in Post-Traumatic Stress Disorder Therapy, M.L. Tielman, M.A. Neerincx & W.P. Brinkman  (per sept. 2017 yet unpublished)







Files:

Methodology related:
Questionnaires: Questionnaires used in the experiment studying the effect of motivational messages.
Feedback statements: Messages used in the experiment studying the effect of motivational messages.

Data & Analysis:
Dataset database: Categories, probability of categories occurring for certain situations & mean number of statements given by experts per situation. 
Database statements: Database of all statements given by experts, including categorization and number of occurrences. All in original Dutch version.

Publish_AllianceData: Scores on FBH scale, used in analysis to calculate Cronbach's alpha
Publish_Data: Main dataset
Publish_Data_PerSituation: Transformed dataset, containing separate entryrows for every situation.
Publish_Analysis: R file used for analysis of data from the experiment studying the effect of motivational messages.