Abstract
This study proposed a method—automatic lock of cursor movement (ALCM)—that locks a cursor at the center of a target at the instant the cursor enters the target. The method is intended to suppress irritating subtle cursor movements that occur when an eye-gaze input system transforms involuntary eye movement (e.g., drift) into cursor coordinates. The effectiveness of the proposed ALCM was verified using pointing performance (speed and accuracy) in two types of HCI tasks. In a drag task, we compared mouse input versus eye-gaze input with use of a backspace (BS) key or voice input. The key or voice facilitates target selection once the eye gaze was aligned with a target. In a menu selection task, we also compared mouse input with eye-gaze and the use of two voice input conditions. This task required gaze alignment with a menu and menu item by use of voice input for selection. Whether the ALCM function was added to the eye-gaze input system or not was a within-subject factor. The input method and target sizes were within-subject factors. The study concluded that the ALCM improved pointing accuracy for all eye-gaze input methods and all two tasks.
| Original language | English |
|---|---|
| Journal | IEEE Transactions on Human-Machine Systems |
| DOIs | |
| Publication status | Accepted/In press - Jan 1 2018 |
Fingerprint
Keywords
- Atmospheric measurements
- Automotive lock of cursor movement (ALCM)
- click
- drag
- HCI
- Human computer interaction
- involuntary eye movement
- menu selection
- Mice
- pointing time
- prediction accuracy
- Presses
- Pressing
- Task analysis
- Visualization
ASJC Scopus subject areas
- Human Factors and Ergonomics
- Control and Systems Engineering
- Signal Processing
- Human-Computer Interaction
- Computer Science Applications
- Computer Networks and Communications
- Artificial Intelligence
Cite this
Automatic Lock of Cursor Movement : Implications for an Efficient Eye-Gaze Input Method for Drag and Menu Selection. / Murata, Atsuo; Karwowski, Waldemar.
In: IEEE Transactions on Human-Machine Systems, 01.01.2018.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Automatic Lock of Cursor Movement
T2 - Implications for an Efficient Eye-Gaze Input Method for Drag and Menu Selection
AU - Murata, Atsuo
AU - Karwowski, Waldemar
PY - 2018/1/1
Y1 - 2018/1/1
N2 - This study proposed a method—automatic lock of cursor movement (ALCM)—that locks a cursor at the center of a target at the instant the cursor enters the target. The method is intended to suppress irritating subtle cursor movements that occur when an eye-gaze input system transforms involuntary eye movement (e.g., drift) into cursor coordinates. The effectiveness of the proposed ALCM was verified using pointing performance (speed and accuracy) in two types of HCI tasks. In a drag task, we compared mouse input versus eye-gaze input with use of a backspace (BS) key or voice input. The key or voice facilitates target selection once the eye gaze was aligned with a target. In a menu selection task, we also compared mouse input with eye-gaze and the use of two voice input conditions. This task required gaze alignment with a menu and menu item by use of voice input for selection. Whether the ALCM function was added to the eye-gaze input system or not was a within-subject factor. The input method and target sizes were within-subject factors. The study concluded that the ALCM improved pointing accuracy for all eye-gaze input methods and all two tasks.
AB - This study proposed a method—automatic lock of cursor movement (ALCM)—that locks a cursor at the center of a target at the instant the cursor enters the target. The method is intended to suppress irritating subtle cursor movements that occur when an eye-gaze input system transforms involuntary eye movement (e.g., drift) into cursor coordinates. The effectiveness of the proposed ALCM was verified using pointing performance (speed and accuracy) in two types of HCI tasks. In a drag task, we compared mouse input versus eye-gaze input with use of a backspace (BS) key or voice input. The key or voice facilitates target selection once the eye gaze was aligned with a target. In a menu selection task, we also compared mouse input with eye-gaze and the use of two voice input conditions. This task required gaze alignment with a menu and menu item by use of voice input for selection. Whether the ALCM function was added to the eye-gaze input system or not was a within-subject factor. The input method and target sizes were within-subject factors. The study concluded that the ALCM improved pointing accuracy for all eye-gaze input methods and all two tasks.
KW - Atmospheric measurements
KW - Automotive lock of cursor movement (ALCM)
KW - click
KW - drag
KW - HCI
KW - Human computer interaction
KW - involuntary eye movement
KW - menu selection
KW - Mice
KW - pointing time
KW - prediction accuracy
KW - Presses
KW - Pressing
KW - Task analysis
KW - Visualization
UR - http://www.scopus.com/inward/record.url?scp=85058870919&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85058870919&partnerID=8YFLogxK
U2 - 10.1109/THMS.2018.2884737
DO - 10.1109/THMS.2018.2884737
M3 - Article
JO - IEEE Transactions on Human-Machine Systems
JF - IEEE Transactions on Human-Machine Systems
SN - 2168-2291
ER -