Twenty years of eye typing: systems and design issues
By Päivi Majaranta, Kari-Jouko Räihä. Eye Tracking Research & Application, 2002
548 citations recorded by the source corpus.
Subfields: Human Factors and Ergonomics, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/9109a469c82a3c0e7c7b4945d4f9ad7568d5128e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Human Factors and Ergonomics
In Human-Computer Interaction
- Andreas Bulling
- Päivi Majaranta
- Dan Witzner Hansen
- Chi Zhang
- Rui Yao
- Jinpeng Cai
- Qiang Ji
- K. Vertanen
Citations in the corpus
- Eye Tracking and Eye-Based Human–Computer Interaction (2014, background): “Other example applications include gaze-based text entry, web browsing, gaze-controlled games, music, etc. (see e.g. (Majaranta and Räihä 2002; Fig.”
- An evaluation of Dasher with a high-performance language model as a gaze communication method (2014, methodology): “The dwell-timeout was set to 1000 ms, the default setting on the assistive P10 workstation machine and a common default setting in eye-typing experiments [10].”
- A breadth-first survey of eye-tracking applications (2002, background): “Majaranta and Raiha (2002) provide an excellent survey of additional selection and feedback techniques employed in eye typing systems.”
- Reducing shoulder-surfing by using gaze-based password entry (2007, background): “Previous research [20-22] has shown that the ideal duration for activation by dwell is on the order of 400-500ms.”
- CHAPTER 9 – Text Entry by Gaze: Utilizing Eye Tracking (2007, background): “D. W. Hansen and Hansen (2006) experimented with text entry by gaze using a”
- Efficient eye typing with 9-direction gaze estimation (2017, background): “5 ◦ [1], and even when people stare in a fixed direction, there still exists a jittering movement of the eyes and the body also moves subconsciously, both of which can make it difficult to execute accurate and stable eye tracking.”
- Starburst: A hybrid algorithm for video-based eye tracking combining feature-based and model-based approaches (2005, background): “For example, eye typing has users look at keys on a virtual keyboard to type instead of manually depressing keys as on a traditional keyboard [9].”
- In the Eye of the Beholder: A Survey of Models for Eyes and Gaze (2010, background): “Among the first applications were “eye typing” systems, where the user could produce text through gaze inputs (for a review, see [95]).”