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.




The authors developed a robot arm that could be controlled by a verbal joystick. First they made a 2D model on the computer and made sure they could control it. A test was run to find the best mode of control., forward kinematic (controlling each joint independently), inverse kinematic (designing for only an end result, not caring about individual joints), or a hybrid control method. The end result showed that people with limited experience, since it was a new devise to the testers, preferred an inverse kinematic design, not wanting to thinking about the angles of the angles of the arm and have it just work.



