Deriving Selection Techniques for GUIs based on the Multiple Process Model

Yu, D, Roberts, J, Hornbæk, K and Bergström, J (2025) Deriving Selection Techniques for GUIs based on the Multiple Process Model. In: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems . pp. 1-16. (CHI 2025: CHI Conference on Human Factors in Computing Systems, 26th Apr - 1st May 2025, Yokohama, Japan).

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Abstract

Designing efficient selection techniques for graphical user interfaces (GUIs) is fundamental in HCI research. We derive selection techniques based on the multiple process model, a theory that details the motor control processes during goal-directed movements. Specifically, we deduce three theoretical assumptions on how control processes of pre-planning, impulse control, and limb-target control could influence selection movements when adjusting GUI elements, including visual feedback, cursor position, and target position. Corresponding to our assumptions, we develop three techniques that hide the cursor when a target is highlighted, snap the cursor when selection begins, and expand clustered objects during selection movements. After that, we pre-register the assumptions and research methodology and evaluate the techniques in three crowdsourcing-based pointing studies. Our results show that all techniques improved the selection efficiency compared to established baselines. We further discuss the design implications and reflect on how we derived techniques from theory.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	46 Information and Computing Sciences; 4608 Human-Centred Computing
Subjects:	R Medicine > RC Internal medicine > RC1200 Sports Medicine T Technology > T Technology (General)
Divisions:	Sport and Exercise Sciences
Publisher:	ACM
Date of first compliant Open Access:	6 May 2025
Date Deposited:	06 May 2025 10:03
Last Modified:	06 May 2025 10:03
DOI or ID number:	10.1145/3706598.3713089
URI:	https://researchonline.ljmu.ac.uk/id/eprint/26302

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