Thin slices of interaction: predicting users' task difficulty within 60 sec.

Authors:
João Pedro Ferreira;Marta Noronha e Sousa;Nuno Branco;Manuel João Ferreira;Nuno Otero;Nelson Zagalo;Pedro Branco
Affiliations:
University of Minho, Guimarães, Portugal;University of Minho, Guimarães, Portugal;University of Minho, Felgueiras, Portugal;University of Minho, Guimarães, Portugal;Linnæus University, Växjö, Sweden & University of Minho, Guimarães, Portugal;University of Minho, Guimarães, Portugal;University of Minho, Guimarães, Portugal
Venue:
CHI '12 Extended Abstracts on Human Factors in Computing Systems
Year:
2012

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Abstract

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 human-computer 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.