Pointing at 3d target projections with one-eyed and stereo cursors. Teather, R. J. & Stuerzlinger, W. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pages 159–168, Paris France, April, 2013. ACM.
Paper doi abstract bibtex We present a study of cursors for selecting 2D-projected 3D targets. We compared a stereo- and mono-rendered (oneeyed) cursor using two mouse-based and two remote pointing techniques in a 3D Fitts’ law pointing experiment. The first experiment used targets at fixed depths. Results indicate that one-eyed cursors only improve screen-plane pointing techniques, and that constant target depth does not influence pointing throughput. A second experiment included pointing between targets at varying depths and used only “screen-plane” pointing techniques. Our results suggest that in the absence of stereo cue conflicts, screenspace projections of Fitts’ law parameters (target size and distance) yield constant throughput despite target depth differences and produce better models of performance.
@inproceedings{teatherPointing3dTarget2013,
address = {Paris France},
title = {Pointing at 3d target projections with one-eyed and stereo cursors},
isbn = {978-1-4503-1899-0},
url = {https://dl.acm.org/doi/10.1145/2470654.2470677},
doi = {10.1145/2470654.2470677},
abstract = {We present a study of cursors for selecting 2D-projected 3D targets. We compared a stereo- and mono-rendered (oneeyed) cursor using two mouse-based and two remote pointing techniques in a 3D Fitts’ law pointing experiment. The first experiment used targets at fixed depths. Results indicate that one-eyed cursors only improve screen-plane pointing techniques, and that constant target depth does not influence pointing throughput. A second experiment included pointing between targets at varying depths and used only “screen-plane” pointing techniques. Our results suggest that in the absence of stereo cue conflicts, screenspace projections of Fitts’ law parameters (target size and distance) yield constant throughput despite target depth differences and produce better models of performance.},
language = {en},
urldate = {2023-01-03},
booktitle = {Proceedings of the {SIGCHI} {Conference} on {Human} {Factors} in {Computing} {Systems}},
publisher = {ACM},
author = {Teather, Robert J. and Stuerzlinger, Wolfgang},
month = apr,
year = {2013},
pages = {159--168},
}
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