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Hand occlusion with tablet-sized direct pen input

Published: 04 April 2009 Publication History
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    We present results from an experiment examining the area occluded by the hand when using a tablet-sized direct pen input device. Our results show that the pen, hand, and forearm can occlude up to 47% of a 12 inch display. The shape of the occluded area varies between participants due to differences in pen grip rather than simply anatomical differences. For the most part, individuals adopt a consistent posture for long and short selection tasks. Overall, many occluded pixels are located higher relative to the pen than previously thought. From the experimental data, a five-parameter scalable circle and pivoting rectangle geometric model is presented which captures the general shape of the occluded area relative to the pen position. This model fits the experimental data much better than the simple bounding box model often used implicitly by designers. The space of fitted parameters also serves to quantify the shape of occlusion. Finally, an initial design for a predictive version of the model is discussed.

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    • (2022)Terrain Modelling with a Pen & Touch Tablet and Mid-Air Gestures in Virtual RealityExtended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491101.3519867(1-7)Online publication date: 27-Apr-2022
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      cover image ACM Conferences
      CHI '09: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      April 2009
      2426 pages
      ISBN:9781605582467
      DOI:10.1145/1518701
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      Published: 04 April 2009

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      Author Tags

      1. hand occlusion
      2. pen input
      3. tablet pc

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      CHI '09 Paper Acceptance Rate 277 of 1,130 submissions, 25%;
      Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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      Cited By

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      • (2022)EdgeSelect: Smartwatch Data Interaction with Minimal Screen OcclusionProceedings of the 2022 International Conference on Multimodal Interaction10.1145/3536221.3556586(288-298)Online publication date: 7-Nov-2022
      • (2022)Iteratively Designing Gesture Vocabularies: A Survey and Analysis of Best Practices in the HCI LiteratureACM Transactions on Computer-Human Interaction10.1145/350353729:4(1-54)Online publication date: 5-May-2022
      • (2022)Terrain Modelling with a Pen & Touch Tablet and Mid-Air Gestures in Virtual RealityExtended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491101.3519867(1-7)Online publication date: 27-Apr-2022
      • (2021)BezelGlide: Interacting with Graphs on Smartwatches with Minimal Screen OcclusionProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445201(1-13)Online publication date: 6-May-2021
      • (2021)VRSketch: Investigating 2D Sketching in Virtual Reality with Different Levels of Hand and Pen TransparencyHuman-Computer Interaction – INTERACT 202110.1007/978-3-030-85607-6_14(195-211)Online publication date: 27-Aug-2021
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      • (2019)Investigating Unintended Inputs for One-Handed Touch Interaction Beyond the TouchscreenProceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services10.1145/3338286.3340145(1-14)Online publication date: 1-Oct-2019
      • (2019)Sensing Posture-Aware Pen+Touch Interaction on TabletsProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300285(1-14)Online publication date: 2-May-2019
      • (2018)A Comparative Evaluation of Spatial Targeting Behaviour Patterns for Finger and Stylus Tapping on Mobile Touchscreen DevicesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/31611601:4(1-21)Online publication date: 8-Jan-2018
      • (2018)Unobtrusive touch‐free interaction on mobile devices in dirty working environmentsHuman Factors and Ergonomics in Manufacturing & Service Industries10.1002/hfm.2074128:5(250-259)Online publication date: 7-May-2018
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