Phrase sets for evaluating text entry techniques

By for Evaluating, Text Entry. CHI Extended Abstracts, 2003

881 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems and Management, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/3c47d796e9be6f90749be78b275b397ea226152d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Per Ola Kristensson
2. Eve E. Hoggan
3. Stephen Anthony Brewster
4. K. Vertanen
5. Daniel J. Rough
6. Jody Johnston

In Information Systems and Management

1. Per Ola Kristensson
2. Eve E. Hoggan
3. Stephen Anthony Brewster
4. Jody Johnston

In Human-Computer Interaction

1. Eve E. Hoggan
2. Jody Johnston
3. Per Ola Kristensson
4. Stephen Anthony Brewster
5. K. Vertanen
6. Daniel J. Rough
7. Yang Li
8. Jacob O. Wobbrock

Citations in the corpus

• Consumed endurance: a metric to quantify arm fatigue of mid-air interactions (2014, neutral): “’s set [24].”
• An evaluation of Dasher with a high-performance language model as a gaze communication method (2014, background): “It has also been shown [4] that this set of test sentences results in comparable performances to the earlier and less externally valid phrase set by MacKenzie and Soukoreff [7].”
• Investigating the effectiveness of tactile feedback for mobile touchscreens (2008, methodology): “The phrase set used for the text in the experiment was from MacKenzie [10] and has been used successfully in several studies [11, 17].”