A Comparative Study of the Typing Performance of Two Mid-Air Text Input Methods in Virtual Environments

• Published in: Sensors (Basel, Switzerland) Vol. 23; no. 15; p. 6988
• Main Authors: Wang, Yueyang, Wang, Yahui, Li, Xiaoqiong, Zhao, Chengyi, Ma, Ning, Guo, Zixuan
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 06.08.2023; MDPI
• Subjects: Accuracy; Comparative analysis; Efficiency; gestural input; Handwriting; Interactive computer systems; Keyboards; Methods; Motion sickness; Neural networks; pointing devices; Sensors; Smartphones; text input; usability testing; User experience; Virtual Reality; Workload; United Kingdom; China; Germany; usability testing; virtual reality; text input; keyboards; pointing devices; gestural input

Inputting text is a prevalent requirement among various virtual reality (VR) applications, including VR-based remote collaboration. In order to eliminate the need for complex rules and handheld devices for typing within virtual environments, researchers have proposed two mid-air input methods—the tr...