Integrating Multi-Source Data into HandSpy (Short Paper)

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2020

Autores

Valkanov, H (Autor) Outra; José Paulo Leal (Autor) FCUP

Ata de Conferência Internacional

Título: 9th Symposium on Languages, Applications and Technologies, SLATE 2020, July 13-14, 2020, School of Technology, Polytechnic Institute of Cávado and Ave, Portugal (Virtual Conference).

Páginas: 13:1-13:8

9th Symposium on Languages, Applications and Technologies, SLATE 2020

13 July 2020 through 14 July 2020

Indexação

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00S-Q72

DOI: 10.4230/oasics.slate.2020.13

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica