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README.md

README.md

Data Set Description

This set contains the data of the paper "Your Eyes Tell: Leveraging Smooth Pursuit for Assessing Cognitive Workload".

DOI: https://doi.org/10.1145/3173574.3174010

The set contains all data collected from the participants during the different conditions conducted in the study. The .txt files in the participant folders (all p folders) are tab separated files and can be processes with any software capable of reading *.csv files (e.g. Excel, Python, Matlab). The column 22 and 23 describes the X/Y gaze position of the left eye. The columns 24 and 25 describe the X/Y gaze position of the right eye. The folder "groundtruth" contains the x and y coordinates of the displayed stimulus. These files are comma and not tab separated.

File name legend: c = circular r = rectangular s = sinusoidal 1 = 1-back 2 = 2-back 3 = 3-back s = slow f = fast

For example "c_2_f" describes the collected gaze data during a fast circular trajectory while the subject is conducting a 2-back task.

Citing the Data Set and the Paper

Below are the BibTex entries to cite the data set and the paper

@misc{kosch:your_eyes_tell,
  author = {Kosch, Thomas and Hassib, Mariam and Wo\'{z}niak, Pawe\l W. and Buschek, Daniel and Alt, Florian},
  title = {Your Eyes Tell: Leveraging Smooth Pursuit for Assessing Cognitive Workload},
  year = {2018},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/HCUM/dronos}}
}
@inproceedings{kosch2018your, 
    author = {Kosch, Thomas and Hassib, Mariam and Wo\'{z}niak, Pawe\l W. and Buschek, Daniel and Alt, Florian}, 
    title = {Your Eyes Tell: Leveraging Smooth Pursuit for Assessing Cognitive Workload}, 
    booktitle = {Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems}, 
    series = {CHI '18}, year = {2018}, isbn = {978-1-4503-5620-6}, 
    location = {Montreal QC, Canada}, 
    pages = {436:1--436:13}, 
    articleno = {436}, 
    numpages = {13}, 
    url = {http://doi.acm.org.emedien.ub.uni-muenchen.de/10.1145/3173574.3174010}, 
    doi = {10.1145/3173574.3174010},
    acmid = {3174010}, publisher = {ACM}, 
    address = {New York, NY, USA}, 
    keywords = {cognition-aware user interfaces, cognitive workload, eye tracking, mental workload, smooth pursuit, workload-aware computing}
}
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