Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/22191

TitleThin slices of interaction : predicting users’ task difficulty within 60 sec
Author(s)Ferreira, João Pedro
Sousa, Marta Noronha e
Branco, Nuno
Ferreira, M. J.
Otero, Nuno
Zagalo, Nelson
Branco, Pedro
KeywordsNonverbal Behavior
Social Signals
Thin Slices
Video Coding
Issue dateMay-2012
PublisherACM
Abstract(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.
TypeConference paper
URIhttp://hdl.handle.net/1822/22191
ISBN978-1-4503-1016-1
DOI10.1145/2212776.2212795
Publisher versionhttp://dl.acm.org/citation.cfm?id=2212795
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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