Predictive Text Input in a Mobile Shopping Assistant: Methods and Interface Design

Written by: Petteri Nurmi, Andreas Forsblom, Patrik Flor´een, Peter Peltonen, Petri Saarikko

The authors put together a shopping list creator that specializes in predictive text and usability. They built a predictive text database and ran a usability test for both one and two handed use. The test showed significant speed improvement was achieved with both hands by using predictive text. Using predictive text improved the input error rate by 80%.

This paper shows that people have not put that much effort into grocery list building apps. I feel that this paper should have compared their database and correctness to other similar applications on the market. This also doesnt feel like a complete research topic to me. All the authors did was put a database together and rank items by frequency of use. Future work should include matching words to pictures and sorting lists by common food groupings.