https://github.com/jmgirard/darma
DARMA: Software for Dual Axis Rating and Media Annotation
https://github.com/jmgirard/darma
affective-computing annotation annotation-tool media-annotation multimedia psychology research
Last synced: 7 months ago
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DARMA: Software for Dual Axis Rating and Media Annotation
- Host: GitHub
- URL: https://github.com/jmgirard/darma
- Owner: jmgirard
- License: gpl-3.0
- Created: 2017-05-12T16:59:03.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2022-11-28T19:39:18.000Z (almost 3 years ago)
- Last Synced: 2025-03-27T17:48:34.512Z (7 months ago)
- Topics: affective-computing, annotation, annotation-tool, media-annotation, multimedia, psychology, research
- Language: MATLAB
- Homepage: http://darma.jmgirard.com/
- Size: 12.3 MB
- Stars: 11
- Watchers: 3
- Forks: 2
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
Awesome Lists containing this project
README
# DARMA
Software for Dual Axis Rating and Media Annotation
(c) Jeffrey M Girard, 2014-2019
DARMA is a media annotation program that collects continuous ratings while displaying audio and video files. It is designed to be highly user-friendly and easily customizable. DARMA enables researchers and study participants to provide moment-by-moment ratings of multimedia files using a computer joystick. The rating scale can be configured on a number of parameters including its labels and numerical range. Annotations can be displayed alongside the multimedia file and saved for easy import into statistical analysis software. DARMA provides a tool for researchers in affective computing, human-computer interaction, and the social sciences who need to capture the unfolding of subjective experience and observable behavior over time.
## Download
* The latest release of DARMA will always be available from
* Documentation for DARMA can be accessed via the wiki at
* Issues can be reported and features can be requested at
## Screenshots
## History
DARMA was first published by Jeffrey Girard in 2014 under the GNU General Public License version 3 (GPUv3). Users are free to use, distribute, and modify the program as outlined in the license. DARMA is meant to be a modernization of Sadler's JoyMon and Cowie's FeelTRACE, and was first adapted from Girard's CARMA. A journal publication describing DARMA and its use was published in 2018.
## Citation
Users must agree to cite the [following article](https://osf.io/xhmu6/) in all publications making use of DARMA:
Girard, J. M., & Wright, A. G. C. (2018). DARMA: Software for Dual Axis Rating and Media Annotation. *Behavior Research Methods, 50*(3), 902–909.
```
@article{DARMA,
author = {Girard, Jeffrey M and Wright, Aidan G C},
doi = {https://doi.org/10.3758/s13428-017-0915-5},
journal = {Behavior Research Methods},
number = {3},
pages = {902--909},
title = {{DARMA: Software for Dual Axis Rating and Media Annotation}},
volume = {50},
year = {2018}
}
```
## Papers Using DARMA
* Maister, L., Hodossy, L., Tsakiris, M., & Shinskey, J. L. (in press). Self or (m)other? Infants' sensitivity to bodily overlap with their mother reflects their dyadic coordination. *Child Development*.
* Hopwood, C. J., Harrison, A. L., Amole, M. C., Girard, J. M., Wright, A. G. C., Thomas, K. M., Sadler, P., Ansell, E. B., Chaplin, T. M., Morey, L. C., Crowley, M. J., Durbin, C. E., & Kashy, D. A. (2020). Properties of the continuous assessment of interpersonal dynamics across sex, level of familiarity, and interpersonal conflict. *Assessment, 27*(1), 40–56.
* Lourties, S., Léger, P.-M., Sénécal, S., Fredette, M., & Chen, S. L. (2018). Testing the convergent validity of continuous self-perceived measurement systems: An exploratory study. *Proceedings of the International Conference on HCI in Business, Government, and Organizations*, 132–144.
* Ross, J. M., Girard, J. M., Wright, A. G. C., Beeney, J. E., Scott, L. N., Hallquist, M. N., … Pilkonis, P. A. (2017). Momentary patterns of covariation between specific affects and interpersonal behavior: Linking relationship science and personality assessment. *Psychological Assessment*, 29(2), 123–134.