User-Defined Foot Gestures for Eyes-Free Interaction in Smart Shower Rooms

手势 淋浴器 脚(韵律) 计算机科学 人机交互 集合(抽象数据类型) 手势识别 人工智能 工程类 艺术 机械工程 文学类 喷嘴 程序设计语言
作者
Zhanming Chen,Huawei Tu,Huiyue Wu
出处
期刊:International Journal of Human-computer Interaction [Informa]
卷期号:39 (20): 4139-4161 被引量:5
标识
DOI:10.1080/10447318.2022.2109260
摘要

With the rapid development of natural human-computer interaction technologies, gesture-based interfaces have become popular. Although gesture interaction has received extensive attention from both academia and industry, most existing studies focus on hand gesture input, leaving foot-gesture-based interfaces underexplored, especially in scenarios where the user's hands are occupied for other interaction tasks such as washing the hair in smart shower rooms. In such scenarios, users often have to perform interactive tasks (e.g., controlling water volume) with their eyes closed when water and shampoo liquid flow along with their head to eyes area. One possible way to address this problem is to use eyes-free (rather than eyes-engaged), foot-gesture-based interactive techniques that allow users to interact with the smart shower system without visual involvement. Through our online survey, 71.60% of the participants (58/81) have the requirements of using foot-gesture-based eyes-free interactions during showers. To this end, we conducted a three-phase study to explore foot-gesture-based interaction to achieve eyes-free interaction in smart shower rooms. We first derived a set of user-defined foot gestures for eyes-free interaction in smart shower rooms. Then, we proposed a taxonomy for foot gesture interaction. Our findings indicated that end-users preferred single-foot (76.1%), atomic (73.3%), deictic (65.0%), and dynamic (76.1%) foot gestures, which markedly differs from the results reported by previous studies on user-defined hand gestures. In addition, most of the user-defined dynamic foot gestures involve atomic movements perpendicular to the ground (40.1%) or parallel to the ground (27.7%). We finally distilled a set of concrete guidelines for foot gesture interfaces based on observing end-users' mental model and behaviors when interacting with foot gestures. Our research can inform the design and development of foot-gesture-based interaction techniques for applications such as smart homes, intelligent vehicles, VR games, and accessibility design.
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