Utilize este identificador para referenciar este registo: http://hdl.handle.net/1822/22191

TítuloThin slices of interaction : predicting users’ task difficulty within 60 sec
Autor(es)Ferreira, João Pedro
Sousa, Marta Noronha e
Branco, Nuno
Ferreira, M. J.
Otero, Nuno
Zagalo, Nelson
Branco, Pedro
Palavras-chaveNonverbal Behavior
Social Signals
Thin Slices
Video Coding
DataMai-2012
EditoraACM
Resumo(s)We report on an exploratory study where the first 60 seconds of the video recording of a user interaction are used to predict the user’s experienced task difficulty. This approach builds on previous work on “thin slices” of human-human behavior, and applies it to humancomputer interaction. In the scenario of interacting with a photocopy machine, automated video coding showed that the Activity and Emphasis predicted 46.6% of the variance of task difficulty. This result closely follows reported results on predicting negotiation outcomes from conversational dynamics using similar variables on the speech signal.
TipoconferencePaper
URIhttp://hdl.handle.net/1822/22191
ISBN978-1-4503-1016-1
Versão da editorahttp://dl.acm.org/citation.cfm?id=2212795
Arbitragem científicayes
AcessoopenAccess
Aparece nas coleções:CAlg - Artigos em livros de atas/Papers in proceedings

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