Texting while walking: an evaluation of mini-qwerty text input while on-the-go

Interacting with mobile technology while in-motion has become a daily activity for many of us. Common sense leads one to believe that texting with a mini-qwerty keyboard while mobile can be dangerous since users are distracted and not paying attention to the environment. Previous studies have found that mobility negatively impacts text entry performance for novice participants typing on virtual keyboards on touch screen mobile phones. We investigate the impact of mobility on expert users' ability to quickly and accurately input text on mobile phones equipped with fixed-key mini-qwerty keyboards. In total, 36 participants completed 600 minutes of typing on mini-qwerty keyboards (300 minutes training up to expertise) in three mobility conditions (seated, standing, and walking) generating almost 4,000,000 characters across all conditions. Surprisingly, we found that walking has a significant impact on expert typing speeds but does not significantly impact expert accuracy rates.

[1]  Enrico Rukzio,et al.  Investigating selection and reading performance on a mobile phone while walking , 2010, Mobile HCI.

[2]  Joaquim A. Jorge,et al.  Touch typing using thumbs: understanding the effect of mobility and hand posture , 2012, CHI.

[3]  Brad A. Myers,et al.  Analyzing the input stream for character- level errors in unconstrained text entry evaluations , 2006, TCHI.

[4]  Stephen A. Brewster,et al.  Gestural and audio metaphors as a means of control for mobile devices , 2002, CHI.

[5]  Kent Lyons,et al.  Automatic whiteout++: correcting mini-QWERTY typing errors using keypress timing , 2008, CHI.

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

[7]  A. D. Hall,et al.  Factors affecting performance using touch-entry systems: Tactual recognition fields and system accuracy. , 1988 .

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

[9]  Andrew Sears,et al.  An empirical comparison of use-in-motion evaluation scenarios for mobile computing devices , 2005, Int. J. Hum. Comput. Stud..

[10]  Alan Chamberlain,et al.  A comparative investigation into two pointing systems for use with wearable computers while mobile , 2004, Eighth International Symposium on Wearable Computers.

[11]  Andrew Sears,et al.  Capturing the effects of context on human performance in mobile computing systems , 2007, Personal and Ubiquitous Computing.

[12]  Koji Yatani,et al.  An evaluation of stylus-based text entry methods on handheld devices in stationary and mobile settings , 2007, Mobile HCI.

[13]  Jonathan T. Grudin,et al.  Error Patterns in Novice and Skilled Transcription Typing , 1983 .

[14]  Kent Lyons,et al.  An empirical study of typing rates on mini-QWERTY keyboards , 2005, CHI Extended Abstracts.

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

[16]  Stephen A. Brewster,et al.  Multimodal 'eyes-free' interaction techniques for wearable devices , 2003, CHI '03.

[17]  David R. Morse,et al.  Using while moving: HCI issues in fieldwork environments , 2000, TCHI.

[18]  William E. Cooper,et al.  Cognitive Aspects of Skilled Typewriting , 2011, Springer New York.

[19]  Steinar Kristoffersen,et al.  “Making place” to make IT work: empirical explorations of HCI for mobile CSCW , 1999, GROUP.

[20]  Stephen A. Brewster,et al.  Overcoming the Lack of Screen Space on Mobile Computers , 2002, Personal and Ubiquitous Computing.

[21]  Jukka Häkkinen,et al.  Examining mobile phone text legibility while walking , 2004, CHI EA '04.

[22]  Peter Gregor,et al.  “User sensitive inclusive design”— in search of a new paradigm , 2000, CUU '00.

[23]  Andrew Sears,et al.  Motion does matter: an examination of speech-based text entry on the move , 2006, Universal Access in the Information Society.

[24]  Chris Baber,et al.  Defining and evaluating context for wearable computing , 2004, Int. J. Hum. Comput. Stud..

[25]  I. Scott MacKenzie,et al.  Metrics for text entry research: an evaluation of MSD and KSPC, and a new unified error metric , 2003, CHI '03.

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

[27]  Virpi Roto,et al.  Interaction in 4-second bursts: the fragmented nature of attentional resources in mobile HCI , 2005, CHI.

[28]  Manish Bhardwaj,et al.  Is It Gropable? – Assessing the Impact of Mobility on Textile Interfaces , 2009, 2009 International Symposium on Wearable Computers.

[29]  Kori Inkpen Quinn,et al.  Walk 'n scroll: a comparison of software-based navigation techniques for different levels of mobility , 2005, Mobile HCI.

[30]  Mark D. Dunlop,et al.  The Challenge of Mobile Devices for Human Computer Interaction , 2002, Personal and Ubiquitous Computing.

[31]  I. Scott MacKenzie,et al.  Phrase sets for evaluating text entry techniques , 2003, CHI Extended Abstracts.

[32]  Kent Lyons,et al.  Reading on-the-go: a comparison of audio and hand-held displays , 2006, Mobile HCI.