research-article

Distractor Effects on Crossing-Based Interaction

Authors:

Hai-Ning Liang,

Richard Skarbez,

Henry Been-Lirn DuhAuthors Info & Claims

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Article No.: 192, Pages 1 - 13

https://doi.org/10.1145/3411764.3445340

Published: 07 May 2021 Publication History

Abstract

Task-irrelevant distractors affect visuo-motor control for target acquisition and studying such effects has already received much attention in human-computer interaction. However, there has been little research into distractor effects on crossing-based interaction. We thus conducted an empirical study on pen-based interfaces to investigate six crossing tasks with distractor interference in comparison to two tasks without it. The six distractor-related tasks differed in movement precision constraint (directional/amplitude), target size, target distance, distractor location and target-distractor spacing. We also developed and experimentally validated six quantitative models for the six tasks. Our results show that crossing targets with distractors had longer average times and similar accuracy than that without distractors. The effects of distractors varied depending on distractor location, target-distractor spacing and movement precision constraint. When spacing is smaller than 11.27 mm, crossing tasks with distractor interference can be regarded as pointing tasks or a combination of pointing and crossing tasks, which could be better fitted with our proposed models than Fitts’ law. According to these results, we provide practical implications to crossing-based user interface design.

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Cited By

Li YLiu JHuang JZhang YPeng XBian YTian F(2024)Evaluating the effects of user motion and viewing mode on target selection in augmented realityInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2024.103327191:COnline publication date: 1-Nov-2024
https://dl.acm.org/doi/10.1016/j.ijhcs.2024.103327
Wan TShi RXu WLi YAtkinson KYu LLiang H(2024)Hands-free multi-type character text entry in virtual realityVirtual Reality10.1007/s10055-023-00902-z28:1Online publication date: 3-Jan-2024
https://dl.acm.org/doi/10.1007/s10055-023-00902-z
Wei YShi RYu DWang YLi YYu LLiang H(2023)Predicting Gaze-based Target Selection in Augmented Reality Headsets based on Eye and Head Endpoint DistributionsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581042(1-14)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581042

Index Terms

Distractor Effects on Crossing-Based Interaction
1. Computing methodologies
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Touch screens
    2. Interaction paradigms

Index terms have been assigned to the content through auto-classification.

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cover image ACM Conferences

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

May 2021

10862 pages

ISBN:9781450380966

DOI:10.1145/3411764

General Chairs:
Yoshifumi Kitamura
Tohoku University, Japan
,
Aaron Quigley
University of New South Wales, Australia
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Katherine Isbister
University of California Santa Cruz, USA
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Takeo Igarashi
The University of Tokyo, Japan
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Pernille Bjørn
University of Copenhagen, Denmark
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Microsoft Research, USA

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Published: 07 May 2021

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National Natural Science Foundation of China
Xi'an Jiaotong-Liverpool University (XJTLU) Key Special Fund
Youth Innovation Promotion Association CAS
National Natural Science Foundation of China

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May 8 - 13, 2021

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Cited By

Li YLiu JHuang JZhang YPeng XBian YTian F(2024)Evaluating the effects of user motion and viewing mode on target selection in augmented realityInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2024.103327191:COnline publication date: 1-Nov-2024
https://dl.acm.org/doi/10.1016/j.ijhcs.2024.103327
Wan TShi RXu WLi YAtkinson KYu LLiang H(2024)Hands-free multi-type character text entry in virtual realityVirtual Reality10.1007/s10055-023-00902-z28:1Online publication date: 3-Jan-2024
https://dl.acm.org/doi/10.1007/s10055-023-00902-z
Wei YShi RYu DWang YLi YYu LLiang H(2023)Predicting Gaze-based Target Selection in Augmented Reality Headsets based on Eye and Head Endpoint DistributionsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581042(1-14)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581042

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