@inproceedings{86cb9c0a7e594306b5ff33a270f30e0d,
title = "EdgeSelect: Smartwatch Data Interaction with Minimal Screen Occlusion",
abstract = "We present EdgeSelect, a linear target selection interaction technique that utilizes a small portion of the smartwatch display, explicitly designed to mitigate the 'fat finger' and screen occlusion problems, two of the most common and well-known challenges when interacting with small displays. To design our technique, we first conducted a user study to answer which segments of the smartwatch display have the least screen occlusion while users are interacting with it. We use results from the first experiment to introduce EdgeSelect, a three-layer non-linear interaction technique, which can be used to interact with multiple co-adjacent graphs on the smartwatch by using a region that is the least prone to finger occlusion. In a second experiment, we explore the density limits of the targets possible with EdgeSelect. Finally, we demonstrate the generalizability of EdgeSelect to interact with various types of content.",
keywords = "interaction technique, smartwatch, target selection, visualization",
author = "Ali Neshati and Aaron Salo and Faleel, {Shariff Am} and Ziming Li and Liang, {Hai Ning} and Celine Latulipe and Pourang Irani",
note = "Publisher Copyright: {\textcopyright} 2022 ACM.; 24th ACM International Conference on Multimodal Interaction, ICMI 2022 ; Conference date: 07-11-2022 Through 11-11-2022",
year = "2022",
month = nov,
day = "7",
doi = "10.1145/3536221.3556586",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "288--298",
booktitle = "ICMI 2022 - Proceedings of the 2022 International Conference on Multimodal Interaction",
}