Multidisciplinary Reading Patterns is an eye-tracking dataset consisting of reading patterns of researchers on scientific literature. In the initial version, we include reading patterns of seven doctoral students on two articles collected using a PupilLabs Core eye tracker. The repository includes both raw data and processed data.
Raw pupillary, fixation data after processing annotations are included in the dataset/raw folder in the format
<participant-number>-<article>-<dataset-type>.csv.
Note: Raw data does not include files generated by PupilLabs export tools.
| Property | Description |
|---|---|
participant-number |
P01 - P07 |
article |
WDILL - Computer Science article, PHY - Physics article |
dataset-type |
gaze - Gaze data, pupil - Pupillometric data, combined - Pupil + Gaze |
| Property | Description |
|---|---|
gaze_timestamp, pupil_timestamp |
Timestamp of source image frame (generated from PupilLabs) |
world_index |
World video (from outward facing camera) frame index |
confidence |
Confidence of gaze/ pupil estimates (0 - not confident, 1 - confident) |
norm_pos_x,norm_pos_y |
Normalized gaze position on screen |
label |
Manual annotation for section of the paper |
diameter |
Diameter of pupil dilation |
order |
Sequence number to indicate order of visit |
Dataset after being processed using Real-Time Advanced Eye Movements Analysis Pipeline (RAEMAP) is included in dataset/processed folder, with (1) Gaze data and (2) Pupil data.
| Property | Description |
|---|---|
fxtn_count |
Fixation count |
avg_fxtn_duration |
Average fixation duration |
total_fxtn_dur |
Total fixation duration |
std_fxtn_dur |
|
total_sacc_dur |
|
avg_sacc_dur |
|
max_sacc_amplitude |
|
min_sacc_amplitude |
|
avg_sacc_amplitude |
|
std_sacc_amplitude |
| Property | Desctiption |
|---|---|
LHIPA |
The Low/High Index of Pupillary Activity |
pavg |
|
pcpd |
If you're using this dataset in your research, please cite following publication.
@inproceedings{10.1145/3517031.3531630,
author = {Mahanama, Bhanuka and Jayawardena, Gavindya and and Abeysinghe, Yasasi and Ashok, Vika and Jayarathna, Sampath},
title = {Multidisciplinary Reading Patterns of Digital Documents},
year = {2022},
isbn = {978-1-4503-9252-5/22/06},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3517031.3531630},
doi = {10.1145/3517031.3531630},
booktitle = {Proceedings of the 2022 Symposium on Eye Tracking Research and Applications},
location = {Seattle, WA, USA},
series = {ETRA '22}
}
@inproceedings{10.1145/3383583.3398591,
author = {Jayawardena, Gavindya and Jayarathna, Sampath and Wu, Jian},
title = {Analyzing the Effect of Reading Patterns Using Eye Tracking Measures},
year = {2020},
isbn = {9781450375856},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3383583.3398591},
booktitle = {Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020},
pages = {517–518}
}
@INPROCEEDINGS{10.1109/JCDL52503.2021.00036,
author={Mahanama, Bhanuka and Jayawardena, Gavindya and Jayarathna, Sampath},
booktitle={2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL)},
title={Analyzing Unconstrained Reading Patterns of Digital Documents Using Eye Tracking},
year={2021},
pages={282-283},
doi={10.1109/JCDL52503.2021.00036},
organization={IEEE}
}
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