Wink it: Investigating wink-based interactions for smartphones
Journal
MobileHCI 2018 - Beyond Mobile: The Next 20 Years - 20th International Conference on Human-Computer Interaction with Mobile Devices and Services, Conference Proceedings Adjunct
Pages
146-150
Date Issued
2018
Author(s)
Abstract
Commodity mobile devices have front-facing cameras that can be used to precisely track facial expressions, such as winking, which can provide an additional input modality that co-exists with touchscreen input. We evaluate and compare three types of wink-based interactions: single wink, double wink, and long wink, in three mobile usage scenarios: sitting, walking, and lying down. Results show that single wink has similar error rate as touch input, and is preferred over touch input for targets in corner regions on a smartphone.
SDGs
Type
conference paper