Thin 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
• Data: 2012
• Identificador Persistente: http://hdl.handle.net/1822/22191
• Origem: RepositóriUM - Universidade do Minho
• Assunto(s): Nonverbal Behavior; Social Signals; Thin Slices; Video Coding
• Tipo de Documento: Artigo
• Idioma: Inglês

Descrição

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.