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      Exploring Tilt–Based Text Input For Mobile Devices With Teenagers

      , , ,

      27th International BCS Human Computer Interaction Conference (HCI 2013) (HCI)

      Human Computer Interaction Conference (HCI 2013)

      9 - 13 September 2013

      Mobile text input, tilt-input, teenage users, performance measurement

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          Abstract

          Most modern tablet devices and phones include tilt-based sensing but to-date tilt is primarily used either for input with games or for detecting screen orientation. This paper presents the results of an experiment with teenage users to explore a new tilt-based input technique on mobile devices intended for text entry. The experiment considered the independent variables grip (one-handed, two-handed) and mobility (sitting, walking) with 4 conditions. The study involved 52 participants aged 11–16 carrying out multiple target selection tasks in each condition. Performance metrics derived from the data collected during the study revealed interesting quantitative findings, with the optimal condition being sitting using a two-handed grip. While walking, task completion time was 22.1% longer and error rates were 63.9% higher, compared to sitting. Error rate were 31.4% lower using a two-handed grip, compared to a one-handed grip. Qualitative results revealed a highly positive response to target selection performed using the method described here. This paper highlights the potential value of tilt as a technique for text input for teenage users.

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          Most cited references 9

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          The Effects of Walking and Cycling Computer Workstations on Keyboard and Mouse Performance

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            How do people tap when walking? An empirical investigation of nomadic data entry

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              Social and technical challenges in parenting teens' social media use

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                Author and article information

                Contributors
                Conference
                September 2013
                September 2013
                : 1-6
                Affiliations
                ChiCI Research Group

                University of Central Lancashire

                Preston, UK, PR1 2HE
                Dept. of Computer Science and Engineering

                York University

                Toronto Canada M3J 1P3
                Article
                10.14236/ewic/HCI2013.34
                © Daniel Fitton et al. Published by BCS Learning and Development Ltd. 27th International BCS Human Computer Interaction Conference (HCI 2013), Brunel University, London, 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/

                27th International BCS Human Computer Interaction Conference (HCI 2013)
                HCI
                27
                Brunel University, London, UK
                9 - 13 September 2013
                Electronic Workshops in Computing (eWiC)
                Human Computer Interaction Conference (HCI 2013)
                Product
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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