A Systematic Review of Fitts’ Law in 3D Extended Reality

要旨

Fitts' law is widely used as an evaluation tool for pointing or selection tasks, evolving into diverse applications, including 3D extended reality (XR) environments like virtual, augmented, and mixed reality. Despite standards like ISO 9241:411, the application of Fitts' law varies significantly across studies, complicating comparisons and undermining the reliability of findings in 3D XR research. To address this, we conducted a systematic review of 119 publications, focusing on 122 studies that used Fitts' law in 3D XR user experiments. Our analysis shows that over half of these studies referenced Fitts' law without thoroughly investigating throughput, movement time, or error rate. We performed an in-depth meta-analysis to examine how Fitts' law is incorporated into research. By highlighting trends and inconsistencies, and making recommendations this review aims to guide researchers in designing and performing more effective and consistent Fitts-based studies in 3D XR, enhancing the quality and impact of future research.

著者
Mohammadreza Amini
Concordia University, Montreal, Quebec, Canada
Wolfgang Stuerzlinger
Simon Fraser University, Vancouver, British Columbia, Canada
Robert J. Teather
Carleton University, Ottawa, Ontario, Canada
Anil Ufuk Batmaz
Concordia University, Montreal, Quebec, Canada
DOI

10.1145/3706598.3713623

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713623

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Interfaces and Interactions for XR

G414+G415
6 件の発表
2025-05-01 01:20:00
2025-05-01 02:50:00
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