The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/19292246

Kola, Ilir; Isufaj, Ralvi; C.M. (Catholijn) Jonker (2022): Data and Code for Manuscript Predicting How Social Situations Affect Personal Values. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/19292246.v2

Dataset

x choose version: version 1 - 2022-03-04

• Artificial Intelligence and Image Processing

Active learning, Personal values, Predictive Models, Support agents

CC BY-NC 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Ilir Kola , Ralvi Isufaj , C.M. (Catholijn) Jonker

This data-set contains the data and code used in the two studies of the manuscript 'Does Personalization Help? Predicting How Social Situations Affect Personal Values'. The data was collected through an online survey. The data includes information about 283 everyday life situations. Each situation is described through text (1-2 sentences), as well as through its psychological characteristics. Furthermore, each situation is annotated whether it promotes, demotes or does not affect the personal value "enjoyment of life" both from the people who described the situation and from external annotators. With this data we attempt to predict how a social situation affects the personal value by using as input the psychological characteristics of the situation. The data is organized in different files so that it can be used directly in the implemented predictive models.

• 2022-03-04 first online

• 2022-03-10 published, posted

4TU.ResearchData

csv, ipynb, txt

• NWO Grant Number 639.022.416

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems