Dataset Open Access
Nioche, Aurélien;
Murena, Pierre-Alexandre;
de la Torre-Ortiz, Carlos;
Oulasvirta, Antti
This dataset contains the results of the experiment described in Nioche et al. (2021).
This dataset contains 4 data files:
The main data file contains the logs of 53 different users using a self-teaching application for one week. The goal of the users was to learn the English meaning of Japanese kanji. Each user completed between 1370 trials and 1608 trials. Each user saw between 85 and 204 characters.
Two additional files are also joint to the data files:
If you use this dataset, please refer to it by citing Nioche et al. (2021).
Name | Size | |
---|---|---|
data.csv
md5:f8ce8a120b1e7d0886fa8e4bbd7d3c10 |
9.6 MB | Download |
data_incl_preliminary_exp.csv
md5:caa4000e5b19f9556b9d19c700224d4b |
14.6 MB | Download |
demographic_info.csv
md5:73b2d33504ad6d61a1ad5811e8a7a7ae |
2.2 kB | Download |
info.ipynb
md5:b908cbd9538814134b02ad7df9c91364 |
221.7 kB | Download |
info.pdf
md5:f486e3754b802ef0c7b5ddeaaae62b6e |
459.5 kB | Download |
stimuli.csv
md5:85a39f70a13b6e47f82e8f77dd9913f6 |
23.2 kB | Download |
Aurelien Nioche, Pierre-Alexandre Murena, Carlos de la Torre-Ortiz, and Antti Oulasvirta. 2021. Improving Artificial Teachers by Considering How People Learn and Forget. In 26th International Conference on Intelligent User Interfaces (IUI '21). Association for Computing Machinery, New York, NY, USA, 445–453. DOI:https://doi.org/10.1145/3397481.3450696
All versions | This version | |
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Views | 232 | 232 |
Downloads | 246 | 246 |
Data volume | 1.3 GB | 1.3 GB |
Unique views | 215 | 215 |
Unique downloads | 175 | 175 |