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      Predicting users’ task difficulty using Social Signals: a Preliminary Model

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      The 26th BCS Conference on Human Computer Interaction (HCI)

      Human Computer Interaction

      12 - 14 September 2012

      Nonverbal Behaviour, Social Signals, Thin Slices, Video Coding, Video Processing

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            Abstract

            Humans communicate social intentions through patterns of nonverbal language, using posture, gestures and body motion. This social signalling is present in human to human interaction as well as in human-computer interaction. Our daily dependence on computers emphasizes the need and importance for good interaction quality. While humans have an innate ability to recognize and respond to social signalling, machines don’t. Our work aims to develop a Social Signal Processing model based on features extracted using simple video processing techniques, applied in a real context and running in real-time, to predict interaction’s difficulties and problems. In this study we report a preliminary model where features extracted from user motion within 60 seconds of video recordings can predict 46,6% of variance in task difficulty.

            Content

            Author and article information

            Contributors
            Conference
            September 2012
            September 2012
            : 1-4
            Affiliations
            [0001]engageLab

            University of Minho,

            Portugal
            [0002]engageLab / Dep. Com.

            Sciences

            University of Minho,

            Portugal
            [0003]School of Technology

            and Management of

            Felgueiras / engageLab

            University of Minho,

            Portugal
            [0004]engageLab / Dep.

            Industrial Elec.

            University of Minho,

            Portugal
            [0005]Center for Learn. and

            Know. Tech.

            Linnaeus University,

            Sweden; and University

            of Minho, Portugal
            [0006]engageLab / Dep. Inf.

            Systems

            University of Minho,

            Portugal
            Article
            10.14236/ewic/HCI2012.109
            6e39e433-0a1d-4770-b059-79c41c99c524
            © João Pedro Ferreira et al. Published by BCS Learning and Development Ltd. The 26th BCS Conference on Human Computer Interaction, Birmingham, UK

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            The 26th BCS Conference on Human Computer Interaction
            HCI
            26
            Birmingham, UK
            12 - 14 September 2012
            Electronic Workshops in Computing (eWiC)
            Human Computer Interaction
            Product
            Product Information: 1477-9358BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

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