Understanding User Behavior in Window Selection using Dragging for Multiple Targets

Jae Yeop Jeong, Jin Woo Jeong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationCHI 2025 - Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9798400713941
DOIs
StatePublished - 26 Apr 2025
Event2025 CHI Conference on Human Factors in Computing Systems, CHI 2025 - Yokohama, Japan
Duration: 26 Apr 20251 May 2025

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2025 CHI Conference on Human Factors in Computing Systems, CHI 2025
Country/TerritoryJapan
CityYokohama
Period26/04/251/05/25

Keywords

  • behavior modeling
  • dragging
  • graphical user interface
  • human motor performance
  • multi-target selection
  • Window selection

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