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Lausberg, H., & Sloetjes, H. (2016). The revised NEUROGES–ELAN system: An objective and reliable interdisciplinary analysis tool for nonverbal behavior and gesture. Behavior Research Methods, 48, 973-993. doi:10.3758/s13428-015-0622-z.
Abstract
As visual media spread to all domains of public and scientific life, nonverbal behavior is taking its place as an important form of communication alongside the written and spoken word. An objective and reliable method of analysis for hand movement behavior and gesture is therefore currently required in various scientific disciplines, including psychology, medicine, linguistics, anthropology, sociology, and computer science. However, no adequate common methodological standards have been developed thus far. Many behavioral gesture-coding systems lack objectivity and reliability, and automated methods that register specific movement parameters often fail to show validity with regard to psychological and social functions. To address these deficits, we have combined two methods, an elaborated behavioral coding system and an annotation tool for video and audio data. The NEUROGES–ELAN system is an effective and user-friendly research tool for the analysis of hand movement behavior, including gesture, self-touch, shifts, and actions. Since its first publication in 2009 in Behavior Research Methods, the tool has been used in interdisciplinary research projects to analyze a total of 467 individuals from different cultures, including subjects with mental disease and brain damage. Partly on the basis of new insights from these studies, the system has been revised methodologically and conceptually. The article presents the revised version of the system, including a detailed study of reliability. The improved reproducibility of the revised version makes NEUROGES–ELAN a suitable system for basic empirical research into the relation between hand movement behavior and gesture and cognitive, emotional, and interactive processes and for the development of automated movement behavior recognition methods. -
Sloetjes, H., & Seibert, O. (2016). Measuring by marking; the multimedia annotation tool ELAN. In A. Spink, G. Riedel, L. Zhou, L. Teekens, R. Albatal, & C. Gurrin (
Eds. ), Measuring Behavior 2016, 10th International Conference on Methods and Techniques in Behavioral Research (pp. 492-495).Abstract
ELAN is a multimedia annotation tool developed by the Max Planck Institute for Psycholinguistics. It is applied in a variety of research areas. This paper presents a general overview of the tool and new developments as the calculation of inter-rater reliability, a commentary framework, semi-automatic segmentation and labeling and export to Theme.Additional information
http://www.measuringbehavior.org/files/2016/MB2016_Proceedings.pdf -
Crasborn, O., Sloetjes, H., Auer, E., & Wittenburg, P. (2006). Combining video and numeric data in the analysis of sign languages with the ELAN annotation software. In C. Vetoori (
Ed. ), Proceedings of the 2nd Workshop on the Representation and Processing of Sign languages: Lexicographic matters and didactic scenarios (pp. 82-87). Paris: ELRA.Abstract
This paper describes hardware and software that can be used for the phonetic study of sign languages. The field of sign language phonetics is characterised, and the hardware that is currently in use is described. The paper focuses on the software that was developed to enable the recording of finger and hand movement data, and the additions to the ELAN annotation software that facilitate the further visualisation and analysis of the data. -
Rohlfing, K., Loehr, D., Duncan, S., Brown, A., Franklin, A., Kimbara, I., Milde, J.-T., Parrill, F., Rose, T., Schmidt, T., Sloetjes, H., Thies, A., & Wellinghof, S. (2006). Comparison of multimodal annotation tools - workshop report. Gesprächforschung - Online-Zeitschrift zur Verbalen Interaktion, 7, 99-123.
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Wittenburg, P., Brugman, H., Russel, A., Klassmann, A., & Sloetjes, H. (2006). ELAN: a professional framework for multimodality research. In Proceedings of the 5th International Conference on Language Resources and Evaluation (LREC 2006) (pp. 1556-1559).
Abstract
Utilization of computer tools in linguistic research has gained importance with the maturation of media frameworks for the handling of digital audio and video. The increased use of these tools in gesture, sign language and multimodal interaction studies has led to stronger requirements on the flexibility, the efficiency and in particular the time accuracy of annotation tools. This paper describes the efforts made to make ELAN a tool that meets these requirements, with special attention to the developments in the area of time accuracy. In subsequent sections an overview will be given of other enhancements in the latest versions of ELAN, that make it a useful tool in multimodality research.
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