EdgeSelect: Smartwatch Data Interaction with Minimal Screen Occlusion-Reference-Cited by-同舟云学术

EdgeSelect: Smartwatch Data Interaction with Minimal Screen Occlusion

Published:2022-11-07 Issue: Volume: Page:
ISSN:
Container-title:INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
language:
Short-container-title:

Author:

Neshati Ali¹^ORCID,Salo Aaron²^ORCID,Faleel Shariff Am³,Li Ziming⁴^ORCID,Liang Hai-Ning⁵,Latulipe Celine²^ORCID,Irani Pourang⁶^ORCID

Affiliation:

1. Computer Science, University of Waterloo, Canada and Computer Science, University of Manitoba, Canada

2. Department of Computer Science, University of Manitoba, Canada and Department of Computer Science, University of Manitoba, Canada

3. Department of Computer Science, University of British Columbia,, Canada and Department of Computer Science, University of Manitoba, Canada

4. Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University, China and Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University, China

5. Department of Computing, Xi'an Jiaotong-Liverpool University, China and Department of Computing, Xi'an Jiaotong-Liverpool University, China

6. Department of Computer Science, University of British Columbia, Canada and Department of Computer Science, University of Manitoba, Canada

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3536221.3556586

Reference33 articles.

1. Data representations for in-situ exploration of health and fitness data

2. Ranjini Aravind , Tanja Blascheck , and Petra Isenberg . 2019 . A survey on sleep visualizations for fitness trackers . In Posters of the European Conference on Visualization (EuroVis). Ranjini Aravind, Tanja Blascheck, and Petra Isenberg. 2019. A survey on sleep visualizations for fitness trackers. In Posters of the European Conference on Visualization (EuroVis).

3. Investigating the design space of smartwatches combining physical rotary inputs

4. Juri F Buchmüller Udo Schlegel Eren Cakmak Daniel A Keim and Evanthia Dimara. 2021. SpatialRugs: A compact visualization of space and time for analyzing collective movement data. Computers & Graphics(2021). Juri F Buchmüller Udo Schlegel Eren Cakmak Daniel A Keim and Evanthia Dimara. 2021. SpatialRugs: A compact visualization of space and time for analyzing collective movement data. Computers & Graphics(2021).

5. Stock time series pattern matching: Template-based vs. rule-based approaches

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PonDeFlick: A Japanese Text Entry on Smartwatch Commonalizing Flick Operation with Smartphone Interface;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11