TY - GEN
T1 - Understanding User Behavior in Window Selection using Dragging for Multiple Targets
AU - Jeong, Jae Yeop
AU - Jeong, Jin Woo
N1 - Publisher Copyright:
© 2025 Copyright held by the owner/author(s).
PY - 2025/4/26
Y1 - 2025/4/26
N2 - Window selection is a fundamental method in desktop environments for interacting with multiple targets, typically performed by successive operations like click-drag-release (i.e., a single sequence of dragging). Although this method is common in GUI interactions, there has been limited research to understand user behavior during window selection. This study explores user behavior and performance during window selection using dragging. We empirically studied the impact of several GUI parameters - including the size, interval, number, and layout of targets - on window selection for multiple targets. Based on well-established existing motor models, we analyzed user behavior in terms of time performance and derived a more suitable model. Additionally, our new prediction model effectively predicted time performance in partially constrained scenarios. This study provides new insights into user behavior during window selection for multiple targets. We hope that our research findings will assist GUI designers, practitioners, and researchers in testing their designs.
AB - Window selection is a fundamental method in desktop environments for interacting with multiple targets, typically performed by successive operations like click-drag-release (i.e., a single sequence of dragging). Although this method is common in GUI interactions, there has been limited research to understand user behavior during window selection. This study explores user behavior and performance during window selection using dragging. We empirically studied the impact of several GUI parameters - including the size, interval, number, and layout of targets - on window selection for multiple targets. Based on well-established existing motor models, we analyzed user behavior in terms of time performance and derived a more suitable model. Additionally, our new prediction model effectively predicted time performance in partially constrained scenarios. This study provides new insights into user behavior during window selection for multiple targets. We hope that our research findings will assist GUI designers, practitioners, and researchers in testing their designs.
KW - behavior modeling
KW - dragging
KW - graphical user interface
KW - human motor performance
KW - multi-target selection
KW - Window selection
UR - https://www.scopus.com/pages/publications/105005761563
U2 - 10.1145/3706598.3713410
DO - 10.1145/3706598.3713410
M3 - Conference contribution
AN - SCOPUS:105005761563
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2025 - Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
T2 - 2025 CHI Conference on Human Factors in Computing Systems, CHI 2025
Y2 - 26 April 2025 through 1 May 2025
ER -