OASIcs.SLATE.2020.13.pdf
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Integrating Multi-Source Data into HandSpy (Short Paper)
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José Paulo Leal 
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9th Symposium on Languages, Applications and Technologies (SLATE 2020)
Series: Open Access Series in Informatics (OASIcs)
Conference: Symposium on Languages, Applications and Technologies (SLATE) - License:
Creative Commons Attribution 3.0 Unported license
- Publication Date: 2020-09-16
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Acknowledgements
We want to thank the researchers and investigators at M-BW and José Paiva for the input and assistance on the project.
Cite AsGet BibTex
Hristo Valkanov and José Paulo Leal. Integrating Multi-Source Data into HandSpy (Short Paper). In 9th Symposium on Languages, Applications and Technologies (SLATE 2020). Open Access Series in Informatics (OASIcs), Volume 83, pp. 13:1-13:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)
https://doi.org/10.4230/OASIcs.SLATE.2020.13
https://doi.org/10.4230/OASIcs.SLATE.2020.13
Abstract
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.
Subject Classification
ACM Subject Classification
- Applied computing → Psychology
- General and reference → Experimentation
- Human-centered computing → Visualization
Keywords
- HandSpy
- emotion
- handwriting
- psychology
- psychophysiological
- data
- ems
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References
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