Predictive Text Input in a Mobile Shopping Assistant: Methods and Interface Design
Petteri Nurmi, Andreas Forsblom, Patrik Floréen, Peter Peltonen and Petri Saarikko
In: IUI 2009, 8-11 February 2009, Sanibel Island, Florida, USA.
The fundamental nature of grocery shopping makes it an
interesting domain for intelligent mobile assistants. Even
though the central role of shopping lists is widely recognized,
relatively little attention has been paid to facilitating
shopping list creation and management. In this paper we
introduce a predictive text input technique that is based on
association rules and item frequencies. We also describe an
interface design for integrating the predictive text input with
a web-based mobile shopping assistant. In a user study we
compared two interfaces, one with text input support and
one without. Our results indicate that, even though shopping
list entries are typically short, our technique makes text
input significantly faster, decreases typing error rates and increases overall user satisfaction.