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      An empirical study on mobile phone usage

      Proceedings of HCI 2011 The 25th BCS Conference on Human Computer Interaction (HCI)

      Human Computer Interaction

      4 - 8 July 2011

      Sensor tool-kit/detection, adaptation, machine learning, user state, empirical studies

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          Abstract

          One of the major scientific undertakings over the past few years has been exploring the interaction between humans and machines in mobile environments. We have smart devices with high computational power. Some devices are also aware of context. For example, some mobile devices have built in GPS, light sensor and other detection devices like [1]. In this work, we will examine how mobile device could predict users’ wishes regarding the push services like incoming mobile phone call. We conducted some experiments in order to get contextual data and then did analysis, a limited number of sensors were tagged to the user which were meant to detect certain characteristics of the environment the users were in, such as light sensor, temperature sensor, surrounding audio/noise level. Our results show that machine learning algorithms were able to classify the instances correctly with a high accuracy rate.

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          Advanced Interaction in Context

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            Author and article information

            Contributors
            Conference
            July 2011
            July 2011
            : 120-125
            Affiliations
            Universität Bremen

            Am Fallturm 1, TZi, D-28359 Bremen, Germany
            Article
            10.14236/ewic/HCI2011.36
            © Ali Mahmood Khan. Published by BCS Learning and Development Ltd. Proceedings of HCI 2011 The 25th BCS Conference on Human Computer Interaction, Newcastle Upon Tyne, 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/

            Proceedings of HCI 2011 The 25th BCS Conference on Human Computer Interaction
            HCI
            25
            Newcastle Upon Tyne, UK
            4 - 8 July 2011
            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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