TY - CHAP
T1 - Steering law in an environment of spatially coupled style with matters of pointer size and trajectory width
AU - Naito, Satoshi
AU - Kitamura, Yoshifumi
AU - Kishino, Fumio
PY - 2004/1/1
Y1 - 2004/1/1
N2 - Steering law is an excellent performance model for trajectory-based tasks in GUIs. However, since the original law was proposed, it has been examined only in a graphical environment of spatially decoupled style. Moreover, pointer size has been limited to a small one, and the trajectory width of the trajectory has also been limited to a certain size. To solve this problem, in this paper we discuss the extension of the original steering law in order to apply the law to a wider range of environments. We prove the steering law in an environment of spatially coupled style. We explore three conditions of the pointer and trajectory: a sufficiently small pointer and a trajectory of certain width; a pointer of certain size and a narrow trajectory, and, a pointer of certain size and a trajectory of certain width. The experimental results show that the steering law is valid in an environment of spatially coupled style.
AB - Steering law is an excellent performance model for trajectory-based tasks in GUIs. However, since the original law was proposed, it has been examined only in a graphical environment of spatially decoupled style. Moreover, pointer size has been limited to a small one, and the trajectory width of the trajectory has also been limited to a certain size. To solve this problem, in this paper we discuss the extension of the original steering law in order to apply the law to a wider range of environments. We prove the steering law in an environment of spatially coupled style. We explore three conditions of the pointer and trajectory: a sufficiently small pointer and a trajectory of certain width; a pointer of certain size and a narrow trajectory, and, a pointer of certain size and a trajectory of certain width. The experimental results show that the steering law is valid in an environment of spatially coupled style.
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U2 - 10.1007/978-3-540-27795-8_31
DO - 10.1007/978-3-540-27795-8_31
M3 - Chapter
AN - SCOPUS:35048897141
SN - 3540223126
SN - 9783540223122
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 305
EP - 316
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
A2 - Masoodian, Masood
A2 - Jones, Steve
A2 - Rogers, Bill
PB - Springer Verlag
ER -