Exploring tilt-based text input for mobile devices with teenagers

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.

[1]  Thad Starner Keyboards Redux: Fast Mobile Text Entry , 2004, IEEE Pervasive Comput..

[2]  Jacob O. Wobbrock,et al.  WalkType: using accelerometer data to accomodate situational impairments in mobile touch screen text entry , 2012, CHI.

[3]  Paul Coulton,et al.  Using “tilt” as an interface to control “no-button” 3-D mobile games , 2008, CIE.

[4]  Andrew Sears,et al.  How do people tap when walking? An empirical investigation of nomadic data entry , 2007, Int. J. Hum. Comput. Stud..

[5]  Mark H. Chignell,et al.  Mobile text entry: relationship between walking speed and text input task difficulty , 2005, Mobile HCI.

[6]  Amy Bruckman,et al.  Social and technical challenges in parenting teens' social media use , 2011, CHI.

[7]  Kevin Browne,et al.  An empirical evaluation of user interfaces for a mobile video game , 2012, Entertain. Comput..

[8]  Vibha Sazawal,et al.  The Unigesture Approach , 2002, Mobile HCI.

[9]  Vibha Sazawal,et al.  TiltType: accelerometer-supported text entry for very small devices , 2002, UIST '02.

[10]  Jacob O. Wobbrock,et al.  Getting off the treadmill: evaluating walking user interfaces for mobile devices in public spaces , 2008, Mobile HCI.

[11]  Curtis B. Irwin,et al.  Effect of Sitting or Standing on Touch Screen Performance and Touch Characteristics , 2013, Hum. Factors.

[12]  Roderick Murray-Smith,et al.  Variability in Wrist-Tilt Accelerometer Based Gesture Interfaces , 2004, Mobile HCI.

[13]  Robert J. Teather,et al.  FittsTilt: the application of Fitts' law to tilt-based interaction , 2012, NordiCHI.

[14]  Daniel J. Wigdor,et al.  TiltText: using tilt for text input to mobile phones , 2003, UIST '03.

[15]  Leon Straker,et al.  The Effects of Walking and Cycling Computer Workstations on Keyboard and Mouse Performance , 2009, Hum. Factors.

[16]  Sriram Subramanian,et al.  GesText: accelerometer-based gestural text-entry systems , 2010, CHI.