Experimental Research on the Influence of Multi-channel Interaction Mode on Information Reporting Task
Konferenz: ICMLCA 2021 - 2nd International Conference on Machine Learning and Computer Application
17.12.2021 - 19.12.2021 in Shenyang, China
Tagungsband: ICMLCA 2021
Seiten: 7Sprache: EnglischTyp: PDF
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Autoren:
Gao, Lanlan; Liu, Ran; Liu, Yijing; Ji, Kun (Academy of Military Sciences, Beijing, China)
Inhalt:
This paper is oriented to the design requirements of multi-channel human-machine interface, and carries out ergonomic experimental research of multi-channel interactive mode for information reporting tasks. The experiment set up three interactive modes: keyboard, handwriting, and voice; and three feedback modes: no feedback, visual feedback, and auditory feedback. Through data comparison, the impact of different interaction modes and feedback modes on the efficiency of human-machine interaction is analyzed. Experimental results show that keyboard or voice input can be used in short information reporting tasks; while voice input is more appropriatein long message reporting tasks; and in descriptive information reporting tasks, voice input takes a short time but has a low accuracy rate, which is not suitable. Visual feedback and auditory feedback can improve the operational performance of information input and reporting tasks to a certain extent, and can be used appropriately.