Empirical Evaluation of Moving Target Selection in Virtual Reality Using Egocentric Metaphors

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Abstract

Virtual hand or pointer metaphors are among the key approaches for target selection in immersive environments. However, targeting moving objects is complicated by factors including target speed, direction, and depth, such that a basic implementation of these techniques might fail to optimize user performance. We present results of two empirical studies comparing characteristics of virtual hand and pointer metaphors for moving target acquisition. Through a first study, we examine the impact of depth on users’ performance when targets move beyond and within arms’ reach. We find that movement in depth has a great impact on both metaphors. In a follow-up study, we design a reach-bounded Go-Go (rbGo-Go) technique to address challenges of virtual hand and compare it to Ray-Casting. We find that target width and speed are significant determinants of user performance and we highlight the pros and cons for each of the techniques in the given context. Our results inform the UI design for immersive selection of moving targets.

Publisher Link

https://doi-org.uml.idm.oclc.org/10.1007/978-3-030-85610-6_3

Citation

Chen Y., Sun J., Xu Q., Lank E., Irani P., Li W. (2021) Empirical Evaluation of Moving Target Selection in Virtual Reality Using Egocentric Metaphors. In: Ardito C. et al. (eds) Human-Computer Interaction – INTERACT 2021. INTERACT 2021. Lecture Notes in Computer Science, vol 12935. Springer, Cham. https://doi-org.uml.idm.oclc.org/10.1007/978-3-030-85610-6_3

Bibtext Entry

@InProceedings{10.1007/978-3-030-85610-6_3,
author="Chen, Yuan
and Sun, Junwei
and Xu, Qiang
and Lank, Edward
and Irani, Pourang
and Li, Wei",
editor="Ardito, Carmelo
and Lanzilotti, Rosa
and Malizia, Alessio
and Petrie, Helen
and Piccinno, Antonio
and Desolda, Giuseppe
and Inkpen, Kori",
title="Empirical Evaluation of Moving Target Selection in Virtual Reality Using Egocentric Metaphors",
booktitle="Human-Computer Interaction -- INTERACT 2021",
year="2021",
publisher="Springer International Publishing",
address="Cham",
pages="29--50",
abstract="Virtual hand or pointer metaphors are among the key approaches for target selection in immersive environments. However, targeting moving objects is complicated by factors including target speed, direction, and depth, such that a basic implementation of these techniques might fail to optimize user performance. We present results of two empirical studies comparing characteristics of virtual hand and pointer metaphors for moving target acquisition. Through a first study, we examine the impact of depth on users' performance when targets move beyond and within arms' reach. We find that movement in depth has a great impact on both metaphors. In a follow-up study, we design a reach-bounded Go-Go (rbGo-Go) technique to address challenges of virtual hand and compare it to Ray-Casting. We find that target width and speed are significant determinants of user performance and we highlight the pros and cons for each of the techniques in the given context. Our results inform the UI design for immersive selection of moving targets.",
isbn="978-3-030-85610-6"
}