Examining Fitts’ and FFitts’ Law Models for Children’s Pointing Tasks on TouchscreensJulia Woodward, Jahelle Cato, Jesse Smith, Isaac Wang, Brett Benda, Lisa Anthony, Jaime Ruiz

Fitts’ law has accurately modeled both children’s and adults’ pointing movements, but it is not as precise for modeling movement to small targets. To address this issue, prior work presented FFitts’ law, which is more exact than Fitts’ law for modeling adults’ finger input on touchscreens. Since children’s touch interactions are more variable than adults, it is unclear if FFitts’ law should be applied to children. We conducted a 2D target acquisition task with 54 children (ages 5-10) to examine if FFitts’ law can accurately model children’s touchscreen movement time. We found that Fitts’ law using nominal target widths is more accurate, with a R2 value of 0.93, than FFitts’ law for modeling children’s finger input on touchscreens. Our work contributes new understanding of how to accurately predict children’s finger touch performance on touchscreens.

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Citation

Julia Woodward, Jahelle Cato, Jesse Smith, Isaac Wang, Brett Benda, Lisa Anthony, and Jaime Ruiz. 2020. Examining Fitts’ and FFitts’ Law Models for Children’s Pointing Tasks on Touchscreens. In Proceedings of the International Conference on Advanced Visual Interfaces (AVI ’20). September 28– October 2, 2020, Ischia, Italy. ACM, New York, NY, USA, 5 pages. https://doi.org/10.1145/3399715.3399844

Bibtex

@inproceedings{Woodward:2020,
    title     = {Examining Fitts’ and FFitts’ Law Models for Children’s Pointing Tasks on Touchscreens},
    author    = {Woodward, Julia and Cato, Jahelle and Smith, Jesse and Wang, Isaac and Benda, Brett and Anthony, Lisa and Ruiz, Jaime},
    year      = 2020,
    booktitle = {Proceedings of the International Conference on Advanced Visual Interfaces},
    location  = {Ischia, Italy},
    publisher = {Association for Computing Machinery},
    address   = {New York, NY, USA},
    series    = {AVI '20},
    numpages  = 5,
    doi       = {10.1145/3399715.3399844},
    isbn      = {978-1-4503-7535-1},
    url       = {https://doi.org/10.1145/3399715.3399844}
}

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