Modeling error rates in spatiotemporal moving target selection

Jin Huang; Byungjoo Lee

doi:10.1145/3290607.3313077

Modeling error rates in spatiotemporal moving target selection

Jin Huang, Byungjoo Lee

College of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

When we try to acquire a moving target such as hitting a virtual tennis in a computer game, we must hit the target instantly when it flies over our hitting range. In other words, we have to acquire the target in spatial and temporal domains simultaneously. We call this type of task spatiotemporal moving target selection, which we find is common yet less studied in HCI. This paper presents a tentative model for predicting the error rates in spatiotemporal moving target selection. Our model integrates two latest models, the Ternary-Gaussian model and the Temporal Pointing model, to explain the influence of spatial and temporal constraints on pointing errors. In a 12-subject pointing experiment with a computer mouse, our model shows high fitting results with 0.904 R². We discuss future research directions on this topic and how it could potentially help the design in dynamical user interfaces.

Original language	English
Title of host publication	CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450359719
DOIs	https://doi.org/10.1145/3290607.3313077
Publication status	Published - 2019 May 2
Event	2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019 - Glasgow, United Kingdom Duration: 2019 May 4 → 2019 May 9

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference	2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019
Country/Territory	United Kingdom
City	Glasgow
Period	19/5/4 → 19/5/9

Bibliographical note

Funding Information:
This work was supported by National Key R&D Program of China (Grant No. 2016YFB1001405), the National Natural Science Foundation of China (Grant No. 61802379) and Key Research Program of Frontier Sciences, CAS (Grant No. QYZDY-SSW-JSC041).

Publisher Copyright:
© 2019 Copyright held by the owner/author(s).

All Science Journal Classification (ASJC) codes

Software
Human-Computer Interaction
Computer Graphics and Computer-Aided Design

Access to Document

10.1145/3290607.3313077

Cite this

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title = "Modeling error rates in spatiotemporal moving target selection",

abstract = "When we try to acquire a moving target such as hitting a virtual tennis in a computer game, we must hit the target instantly when it flies over our hitting range. In other words, we have to acquire the target in spatial and temporal domains simultaneously. We call this type of task spatiotemporal moving target selection, which we find is common yet less studied in HCI. This paper presents a tentative model for predicting the error rates in spatiotemporal moving target selection. Our model integrates two latest models, the Ternary-Gaussian model and the Temporal Pointing model, to explain the influence of spatial and temporal constraints on pointing errors. In a 12-subject pointing experiment with a computer mouse, our model shows high fitting results with 0.904 R2. We discuss future research directions on this topic and how it could potentially help the design in dynamical user interfaces.",

author = "Jin Huang and Byungjoo Lee",

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Huang, J & Lee, B 2019, Modeling error rates in spatiotemporal moving target selection. in CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems., 3313077, Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, 2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019, Glasgow, United Kingdom, 19/5/4. https://doi.org/10.1145/3290607.3313077

Modeling error rates in spatiotemporal moving target selection. / Huang, Jin; Lee, Byungjoo.

CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2019. 3313077 (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Modeling error rates in spatiotemporal moving target selection

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