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.
- The latest release of DARMA will always be available from https://github.com/jmgirard/DARMA/releases
- Documentation for DARMA can be accessed via the wiki at https://github.com/jmgirard/DARMA/wiki
- Issues can be reported and features can be requested at https://github.com/jmgirard/DARMA/issues
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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.
Users must agree to cite the following article 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. https://doi.org/10.3758/s13428-017-0915-5
@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}
}
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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. https://doi.org/10/ggrj2x
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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. https://doi.org/10/gd9pr6
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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. https://doi.org/10/gf7p7p
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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. http://doi.org/10.1037/pas0000338