Data underlying the Experiment on predicting priority of Social Situations for Support Agents
doi:10.4121/13176923.v1
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: 10.4121/13176923
doi: 10.4121/13176923
Datacite citation style:
Kola, Ilir; Tielman, Myrthe; M.B. (Birna) van Riemsdijk; C.M. (Catholijn) Jonker (2021): Data underlying the Experiment on predicting priority of Social Situations for Support Agents. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/13176923.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
CC BY-NC 4.0
The files contain the dataset regarding the priority of different social situations, and was gathered in an online experiment. Each column represents a feature, with the last column (Priority) being the prediction target. The dataset is linked with the article "Predicting Priorities of Social Situations for Personal Assistant Agents", published in PRIMA 2020. Information on how the data was collected can be found in the paper.
history
- 2021-02-16 first online, published, posted
publisher
4TU.ResearchData
associated peer-reviewed publication
Predicting the Priority of Social Situations for Personal Assistant Agents
funding
- NWO grant number 639.022.416
organizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems
DATA
files (4)
- 2,499 bytesMD5:
481a5bc3a41ca4e2af536a922c17745fREADME.txt - 197,047 bytesMD5:
3018721877cf356eda38249ec610609dpriority_data.csv - 303,008 bytesMD5:
440f1b06d89341a052c41b7f5e32b1b6priority_data_with_all_values.csv - 563,563 bytesMD5:
02af3b6be05f23ab6d6a65778d1d1618Survey exploring the priority of social situations.pdf -
download all files (zip)
1,066,117 bytes unzipped
