TY - GEN
T1 - Steering through a Dynamically Varying Path
AU - Jeong, Jae Yeop
AU - Jeong, Jin Woo
N1 - Publisher Copyright:
© 2026 Copyright held by the owner/author(s).
PY - 2026/4/13
Y1 - 2026/4/13
N2 - Existing research in steering often focuses on static paths. However, in real-world systems, such as interfaces for lasso and video games, there are no guarantees that the paths will maintain their initial width and distance during steering. We thus explore steering movements on a dynamically varying path, widening or narrowing. To this end, we empirically studied the impact of several task parameters - including changed path width, path occupancy duration, and position - on steering through the dynamically varying path. As a result, we found different steering movements and performance to the previous steering task in the static path in terms of movement time and error rate. Additionally, we tested various previous extended models and found poor fitness results (mean) compared to the presented models (mean). We believe our model will assist GUI and game designers in evaluating their applications.
AB - Existing research in steering often focuses on static paths. However, in real-world systems, such as interfaces for lasso and video games, there are no guarantees that the paths will maintain their initial width and distance during steering. We thus explore steering movements on a dynamically varying path, widening or narrowing. To this end, we empirically studied the impact of several task parameters - including changed path width, path occupancy duration, and position - on steering through the dynamically varying path. As a result, we found different steering movements and performance to the previous steering task in the static path in terms of movement time and error rate. Additionally, we tested various previous extended models and found poor fitness results (mean) compared to the presented models (mean). We believe our model will assist GUI and game designers in evaluating their applications.
KW - Graphical user interface
KW - human performance
KW - modeling
KW - steering law
UR - https://www.scopus.com/pages/publications/105038733092
U2 - 10.1145/3772318.3790578
DO - 10.1145/3772318.3790578
M3 - Conference contribution
AN - SCOPUS:105038733092
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2026 - Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
A2 - Oliver, Nuria
A2 - Shamma, David A.
A2 - Candello, Heloisa
A2 - Cesar, Pablo
A2 - Lopes, Pedro
A2 - Bozzon, Alessandro
A2 - Kosch, Thomas
A2 - Liao, Vera
A2 - Ma, Xiaojuan
A2 - Artizzu, Valentino
A2 - Draxler, Fiona
A2 - Lopez, Gustavo
A2 - Reinschluessel, Anke V.
A2 - Tong, Xin
A2 - Toups Dugas, Phoebe O.
PB - Association for Computing Machinery
T2 - 2026 CHI Conference on Human Factors in Computing Systems, CHI 2026
Y2 - 13 April 2026 through 17 April 2026
ER -