Abstract
It is not clear which of the R-E and the S-R compatibility principles is proper for the eye-gaze input. This issue should be addressed for the development of more usable eye-gaze input system. The aim of this study was to explore which of the two compatibility principles was proper for the eye-gaze input system. For all scroll methods, the task completion time did not differ between R-E and S-R compatibility conditions (see Fig. 4). In other words, the speed of scroll did not differ between two compatibility conditions for all of three scroll methods. The number of errors per 90 trials significantly differed among scroll conditions and between R-E and S-R compatibility conditions. Judging from the accuracy of scroll, the error was less when the S-R compatibility like non-touch screen Microsoft Windows was applied than when the R-E compatibility like iPod or iPad was applied. In the range of this study, it seems that the S-R compatibility is dominant from the viewpoints of scroll accuracy for all of three scroll methods. The subjective rating on both usability and fatigue also supported the superiority of S-R compatibility over the R-E compatibility condition. In conclusion, the S-R compatibility was found to be superior for the eye-gaze input system.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Publisher | Springer Verlag |
| Pages | 86-93 |
| Number of pages | 8 |
| Volume | 9170 |
| ISBN (Print) | 9783319209159 |
| DOIs | |
| Publication status | Published - 2015 |
| Event | 17th International Conference on Human-Computer Interaction, HCI International 2015 - Los Angeles, United States Duration: Aug 2 2015 → Aug 7 2015 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 9170 |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 17th International Conference on Human-Computer Interaction, HCI International 2015 |
|---|---|
| Country | United States |
| City | Los Angeles |
| Period | 8/2/15 → 8/7/15 |
Fingerprint
Keywords
- Auto scroll
- Eye-gaze input
- R-E compatibility
- S-R compatibility
- Scroll
- Scroll icon
ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
Optimal scroll method for eye-gaze input system comparison of R-E and R-S compatibility. / Murata, Atsuo; Moriwaka, Makoto; Takagishi, Yusuke.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9170 Springer Verlag, 2015. p. 86-93 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9170).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Optimal scroll method for eye-gaze input system comparison of R-E and R-S compatibility
AU - Murata, Atsuo
AU - Moriwaka, Makoto
AU - Takagishi, Yusuke
PY - 2015
Y1 - 2015
N2 - It is not clear which of the R-E and the S-R compatibility principles is proper for the eye-gaze input. This issue should be addressed for the development of more usable eye-gaze input system. The aim of this study was to explore which of the two compatibility principles was proper for the eye-gaze input system. For all scroll methods, the task completion time did not differ between R-E and S-R compatibility conditions (see Fig. 4). In other words, the speed of scroll did not differ between two compatibility conditions for all of three scroll methods. The number of errors per 90 trials significantly differed among scroll conditions and between R-E and S-R compatibility conditions. Judging from the accuracy of scroll, the error was less when the S-R compatibility like non-touch screen Microsoft Windows was applied than when the R-E compatibility like iPod or iPad was applied. In the range of this study, it seems that the S-R compatibility is dominant from the viewpoints of scroll accuracy for all of three scroll methods. The subjective rating on both usability and fatigue also supported the superiority of S-R compatibility over the R-E compatibility condition. In conclusion, the S-R compatibility was found to be superior for the eye-gaze input system.
AB - It is not clear which of the R-E and the S-R compatibility principles is proper for the eye-gaze input. This issue should be addressed for the development of more usable eye-gaze input system. The aim of this study was to explore which of the two compatibility principles was proper for the eye-gaze input system. For all scroll methods, the task completion time did not differ between R-E and S-R compatibility conditions (see Fig. 4). In other words, the speed of scroll did not differ between two compatibility conditions for all of three scroll methods. The number of errors per 90 trials significantly differed among scroll conditions and between R-E and S-R compatibility conditions. Judging from the accuracy of scroll, the error was less when the S-R compatibility like non-touch screen Microsoft Windows was applied than when the R-E compatibility like iPod or iPad was applied. In the range of this study, it seems that the S-R compatibility is dominant from the viewpoints of scroll accuracy for all of three scroll methods. The subjective rating on both usability and fatigue also supported the superiority of S-R compatibility over the R-E compatibility condition. In conclusion, the S-R compatibility was found to be superior for the eye-gaze input system.
KW - Auto scroll
KW - Eye-gaze input
KW - R-E compatibility
KW - S-R compatibility
KW - Scroll
KW - Scroll icon
UR - http://www.scopus.com/inward/record.url?scp=84944257012&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84944257012&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-20916-6_9
DO - 10.1007/978-3-319-20916-6_9
M3 - Conference contribution
SN - 9783319209159
VL - 9170
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 86
EP - 93
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PB - Springer Verlag
ER -