To study how emotions affect people in expressive writing, scientists require tools to aid them in their research. The researchers at M-BW use an Experiment Management System, called HandSpy to store and analyze the hand-written productions of participants. The input is stored as digital ink and then displayed on a web-based interface. To assist the project, HandSpy integrates with new sources of information to help researchers visualize the link between psychophysiological data and written input. The newly acquired data is synchronized with the existing burst-pause interval model and represented on the user interface of the platform together with the already existing information.
@InProceedings{valkanov_et_al:OASIcs.SLATE.2020.13, author = {Valkanov, Hristo and Leal, Jos\'{e} Paulo}, title = {{Integrating Multi-Source Data into HandSpy}}, booktitle = {9th Symposium on Languages, Applications and Technologies (SLATE 2020)}, pages = {13:1--13:8}, series = {Open Access Series in Informatics (OASIcs)}, ISBN = {978-3-95977-165-8}, ISSN = {2190-6807}, year = {2020}, volume = {83}, editor = {Sim\~{o}es, Alberto and Henriques, Pedro Rangel and Queir\'{o}s, Ricardo}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2020.13}, URN = {urn:nbn:de:0030-drops-130261}, doi = {10.4230/OASIcs.SLATE.2020.13}, annote = {Keywords: HandSpy, emotion, handwriting, psychology, psychophysiological, data, ems} }
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