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Characteristics of Pointing Movement in Physical and AR Environments: The Impacts of Index of Difficulty, Movement Angle, and Testing Surface Background

Lu Peng*, Chunyan Zhao, Alan Hoi Shou Chan, Hongguang Liu

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Human interactions with virtual objects differ from those with real objects. Understanding these differences is essential for improving human-virtual interaction. This study examined movement time (MT) during pointing tasks in physical and AR environments and tested whether a highlighted background enhances AR performance. A within-subject block-factorial experiment with 32 participants investigated the effects of index of difficulty (ID), movement angle, gender, hand dominance, and background design on MT. Results showed that MT in AR was approximately three times longer than in physical settings. The MT disparity between the two environments was influenced by ID, movement angle, and background design. Highlighted backgrounds reduced MT in AR, particularly at higher IDs and in longitudinal movements. Predictive MT models further revealed that, in physical settings, ballistic and visually controlled phases were segmented at an optimal ID of 6.13, whereas AR movements were predominantly visually controlled. These findings inform AR design for periuser interactions.

© 2025 Taylor & Francis Group, LLC
Original languageEnglish
Number of pages18
JournalInternational Journal of Human-Computer Interaction
Online published17 Sept 2025
DOIs
Publication statusOnline published - 17 Sept 2025

Funding

This study was funded by the National Natural Science Foundation of China [Grant No. 72401140].

Research Keywords

  • Human-virtual object interaction
  • visual perception cue
  • augmented reality
  • Fitts' law

Publisher's Copyright Statement

  • COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Human-Computer Interaction on 17 Sept 2025, available online: https://www.tandfonline.com/doi/full/10.1080/10447318.2025.2558018.

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